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causal20sc8400 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Invesco Dynamic Building & Construction ETF Plans - Dividend of $0.04 (NYSEARCA:PKB) Invesco Dynamic Building & Construction ETF (NYSEARCA:PKB) declared a - dividend on Monday, September 23rd, Wall Street Journal reports. Investors of record on Tuesday, September 24th will be given a dividend of 0.0359 per share on Monday, September 30th. This represents a yield of 0.4%.
Answer: | causal | Invesco Dynamic Building & Construction ETF Plans - Dividend of $0.04 (NYSEARCA:PKB) Invesco Dynamic Building & Construction ETF (NYSEARCA:PKB) declared a - dividend on Monday, September 23rd, Wall Street Journal reports. Investors of record on Tuesday, September 24th will be given a dividend of 0.0359 per share on Monday, September 30th. This represents a yield of 0.4%. | [
"noise",
"causal"
] | 1 |
causal20sc8401 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The ex-dividend date of this dividend is Monday, September 23rd.
Answer: | noise | The ex-dividend date of this dividend is Monday, September 23rd. | [
"noise",
"causal"
] | 0 |
causal20sc8402 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: PKB stock traded up $0.06 during trading on Tuesday, reaching $32.35.
Answer: | causal | PKB stock traded up $0.06 during trading on Tuesday, reaching $32.35. | [
"noise",
"causal"
] | 1 |
causal20sc8403 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company had a trading volume of 7,217 shares, compared to its average volume of 16,345.
Answer: | noise | The company had a trading volume of 7,217 shares, compared to its average volume of 16,345. | [
"noise",
"causal"
] | 0 |
causal20sc8404 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Invesco Dynamic Building & Construction ETF has a 52 week low of $22.31 and a 52 week high of $32.78.
Answer: | noise | Invesco Dynamic Building & Construction ETF has a 52 week low of $22.31 and a 52 week high of $32.78. | [
"noise",
"causal"
] | 0 |
causal20sc8405 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The business has a 50 day moving average of $31.40 and a 200 day moving average of $29.97. About Invesco Dynamic Building & Construction ETF PowerShares Dynamic Building & Construction Portfolio (the Fund) seeks investment results that correspond generally to the price and yield of the Dynamic Building & Construction Intellidex Index (the Index).
Answer: | noise | The business has a 50 day moving average of $31.40 and a 200 day moving average of $29.97. About Invesco Dynamic Building & Construction ETF PowerShares Dynamic Building & Construction Portfolio (the Fund) seeks investment results that correspond generally to the price and yield of the Dynamic Building & Construction Intellidex Index (the Index). | [
"noise",
"causal"
] | 0 |
causal20sc8406 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The Index evaluates companies based on a variety of investment merit criteria, including fundamental growth, stock valuation, investment timeliness and risk factors.
Answer: | noise | The Index evaluates companies based on a variety of investment merit criteria, including fundamental growth, stock valuation, investment timeliness and risk factors. | [
"noise",
"causal"
] | 0 |
causal20sc8407 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Featured Story: What is a Reverse Stock Split?
Answer: | noise | Featured Story: What is a Reverse Stock Split? | [
"noise",
"causal"
] | 0 |
causal20sc8408 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Receive News & Ratings for Invesco Dynamic Building & Construction ETF Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Invesco Dynamic Building & Construction ETF and related companies with MarketBeat.com's FREE daily email newsletter.
Answer: | noise | Receive News & Ratings for Invesco Dynamic Building & Construction ETF Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Invesco Dynamic Building & Construction ETF and related companies with MarketBeat.com's FREE daily email newsletter. | [
"noise",
"causal"
] | 0 |
causal20sc8409 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: William Newman
Answer: | noise | William Newman | [
"noise",
"causal"
] | 0 |
causal20sc8410 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: HomeTrading NewsNFA bars Fortress Capital from membership for five years September 20, 2019 Trading News The firm has repeatedly submitted inaccurate financial statements and net capital calculations to NFA.
Answer: | noise | HomeTrading NewsNFA bars Fortress Capital from membership for five years September 20, 2019 Trading News The firm has repeatedly submitted inaccurate financial statements and net capital calculations to NFA. | [
"noise",
"causal"
] | 0 |
causal20sc8411 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The United States National Futures Association (NFA) has earlier today announced that it is barring former NFA Member introducing broker, commodity trading advisor and forex firm Fortress Capital and the firm's former sole principal and associated person George Ashkar from membership for five years.
Answer: | noise | The United States National Futures Association (NFA) has earlier today announced that it is barring former NFA Member introducing broker, commodity trading advisor and forex firm Fortress Capital and the firm's former sole principal and associated person George Ashkar from membership for five years. | [
"noise",
"causal"
] | 0 |
causal20sc8412 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The bar comes after Fortress has been found to have failed to maintain adequate books and records by failing to properly record assets and liabilities and repeatedly submitting inaccurate financial statements and net capital calculations to NFA.
Answer: | noise | The bar comes after Fortress has been found to have failed to maintain adequate books and records by failing to properly record assets and liabilities and repeatedly submitting inaccurate financial statements and net capital calculations to NFA. | [
"noise",
"causal"
] | 0 |
causal20sc8413 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Also, an NFA Hearing Panel concluded that Fortress failed to maintain minimum adjusted net capital.
Answer: | noise | Also, an NFA Hearing Panel concluded that Fortress failed to maintain minimum adjusted net capital. | [
"noise",
"causal"
] | 0 |
causal20sc8414 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The Hearing Panel also found that Fortress used misleading and deceptive promotional material. Finally, the Hearing Panel found that Fortress and Ashkar failed to adequately supervise Fortress' use of promotional material and failed to have adequate procedures addressing ethics training, cybersecurity, FX operations and customer risk disclosures.
Answer: | noise | The Hearing Panel also found that Fortress used misleading and deceptive promotional material. Finally, the Hearing Panel found that Fortress and Ashkar failed to adequately supervise Fortress' use of promotional material and failed to have adequate procedures addressing ethics training, cybersecurity, FX operations and customer risk disclosures. | [
"noise",
"causal"
] | 0 |
causal20sc8415 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Since Fortress became an NFA member in 2010, NFA has carried out several investigations and examinations of the firm and its former Miami office.
Answer: | noise | Since Fortress became an NFA member in 2010, NFA has carried out several investigations and examinations of the firm and its former Miami office. | [
"noise",
"causal"
] | 0 |
causal20sc8416 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In 2014, the Association conducted an examination of Fortress which found that the firm had fallen below its minimum net capital requirement after transferring $45,000 to an affiliate, iClickNTrade LLC. The transfer left Fortress undercapitalized for nearly two weeks in December 2013.
Answer: | noise | In 2014, the Association conducted an examination of Fortress which found that the firm had fallen below its minimum net capital requirement after transferring $45,000 to an affiliate, iClickNTrade LLC. The transfer left Fortress undercapitalized for nearly two weeks in December 2013. | [
"noise",
"causal"
] | 0 |
causal20sc8417 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Fortress did not inform NFA of this capital deficiency until February 2014.
Answer: | noise | Fortress did not inform NFA of this capital deficiency until February 2014. | [
"noise",
"causal"
] | 0 |
causal20sc8418 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In 2015, NFA conducted examinations of Fortress's main office and its Miami branch office which found a number of deficiencies relating to the firm's financial records, promotional materials and record-keeping. Inter alia, these examinations have found that Fortress failed to maintain customer information and failed to accrue for certain liabilities.
Answer: | noise | In 2015, NFA conducted examinations of Fortress's main office and its Miami branch office which found a number of deficiencies relating to the firm's financial records, promotional materials and record-keeping. Inter alia, these examinations have found that Fortress failed to maintain customer information and failed to accrue for certain liabilities. | [
"noise",
"causal"
] | 0 |
causal20sc8419 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Further, in August 2017, NFA commenced another examination of Fortress's main office which found numerous financial, promotional material, and supervision-related deficiencies.
Answer: | noise | Further, in August 2017, NFA commenced another examination of Fortress's main office which found numerous financial, promotional material, and supervision-related deficiencies. | [
"noise",
"causal"
] | 0 |
causal20sc8420 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Source Previous Ethereum celebrates successful August with more than 75 million unique addresses
Answer: | noise | Source Previous Ethereum celebrates successful August with more than 75 million unique addresses | [
"noise",
"causal"
] | 0 |
causal20sc8421 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: More Retirement Myths Debunked: Why 'the 4% Rule' Is Outdated By Cheryl Winokur Munk Derek Thomson Text size Many pre-retirees anticipate retirement as an opportune time for kicking back and enjoying things they couldn't do while they were working.
Answer: | noise | More Retirement Myths Debunked: Why 'the 4% Rule' Is Outdated By Cheryl Winokur Munk Derek Thomson Text size Many pre-retirees anticipate retirement as an opportune time for kicking back and enjoying things they couldn't do while they were working. | [
"noise",
"causal"
] | 0 |
causal20sc8422 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The trouble is that many of them are still operating under old assumptions - which Barron's explored in the article - that if not corrected can severely crimp the lifestyle they hope to have.
Answer: | noise | The trouble is that many of them are still operating under old assumptions - which Barron's explored in the article - that if not corrected can severely crimp the lifestyle they hope to have. | [
"noise",
"causal"
] | 0 |
causal20sc8423 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Beyond these, here are two other potentially debilitating assumptions that can break the retirement bank, if you aren't careful.
Answer: | noise | Beyond these, here are two other potentially debilitating assumptions that can break the retirement bank, if you aren't careful. | [
"noise",
"causal"
] | 0 |
causal20sc8424 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Everyone can safely pull 4% from their portfolio each year in retirement Known as the 4% rule, this is a rule of thumb that determines how much a retiree can safely afford to withdraw every year. Sticking strictly to this measure, however, can leave savers with a significant shortfall if, for example, markets sour or inflation stirs, financial advisors warn.
Answer: | noise | Everyone can safely pull 4% from their portfolio each year in retirement Known as the 4% rule, this is a rule of thumb that determines how much a retiree can safely afford to withdraw every year. Sticking strictly to this measure, however, can leave savers with a significant shortfall if, for example, markets sour or inflation stirs, financial advisors warn. | [
"noise",
"causal"
] | 0 |
causal20sc8425 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The 4% rule was developed using historical data available over 20 years ago and is less relevant to data available now or looking forward, says Kathleen Stewart, wealth strategist at BNY Mellon Wealth Management. Over the last several years, lower interest rates and low fixed-income yields have been a factor in retirement planning.
Answer: | noise | The 4% rule was developed using historical data available over 20 years ago and is less relevant to data available now or looking forward, says Kathleen Stewart, wealth strategist at BNY Mellon Wealth Management. Over the last several years, lower interest rates and low fixed-income yields have been a factor in retirement planning. | [
"noise",
"causal"
] | 0 |
causal20sc8426 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Going forward, they may not produce suitable returns necessary to assure that 4% rule works over the long term, she says. The danger of holding tight to the idea of a 4% withdrawal rate is that people could outlive their assets or take too much risk to generate the income needed.
Answer: | noise | Going forward, they may not produce suitable returns necessary to assure that 4% rule works over the long term, she says. The danger of holding tight to the idea of a 4% withdrawal rate is that people could outlive their assets or take too much risk to generate the income needed. | [
"noise",
"causal"
] | 0 |
causal20sc8427 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: For example, they could feel the need to hold more stocks than they otherwise would in order to generate the returns necessary to meet their withdrawal needs, she says.
Answer: | noise | For example, they could feel the need to hold more stocks than they otherwise would in order to generate the returns necessary to meet their withdrawal needs, she says. | [
"noise",
"causal"
] | 0 |
causal20sc8428 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This could add a level of risk to their portfolio that may not be prudent given their time horizon. Most retirees require a greater degree of certainty than sticking to the 4% rule offers, according to Daniel R. Hill, president and CEO of Richmond, Va.-based registered investment advisory Hill Wealth Strategies.
Answer: | noise | This could add a level of risk to their portfolio that may not be prudent given their time horizon. Most retirees require a greater degree of certainty than sticking to the 4% rule offers, according to Daniel R. Hill, president and CEO of Richmond, Va.-based registered investment advisory Hill Wealth Strategies. | [
"noise",
"causal"
] | 0 |
causal20sc8429 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: When he works with prospective clients in their early to-mid-60s, he uses a so-called Monte Carlo simulation technique to help them understand their chance of having enough money in retirement. He starts with a 4% withdrawal rate because it's what people are familiar with - but he doesn't end up there.
Answer: | noise | When he works with prospective clients in their early to-mid-60s, he uses a so-called Monte Carlo simulation technique to help them understand their chance of having enough money in retirement. He starts with a 4% withdrawal rate because it's what people are familiar with - but he doesn't end up there. | [
"noise",
"causal"
] | 0 |
causal20sc8430 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: That's because the simulation usually shows a chance they'll run out of money at that rate. If I told you, getting on an airplane, that it had a 90% chance of landing safely, would you get on that plane?
Answer: | noise | That's because the simulation usually shows a chance they'll run out of money at that rate. If I told you, getting on an airplane, that it had a 90% chance of landing safely, would you get on that plane? | [
"noise",
"causal"
] | 0 |
causal20sc8431 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: It doesn't seem like a good plan to me if it's not 100%.
Answer: | noise | It doesn't seem like a good plan to me if it's not 100%. | [
"noise",
"causal"
] | 0 |
causal20sc8432 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: We need to have a better plan, he says. His advice is for investors to do the math and see what works in their particular situation.
Answer: | noise | We need to have a better plan, he says. His advice is for investors to do the math and see what works in their particular situation. | [
"noise",
"causal"
] | 0 |
causal20sc8433 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: For some people, an ideal withdrawal rate may be 5%, 3% or even 2% depending on factors such as the size of their portfolio, how much debt they have, their living expenses, and how they want to spend their retirement.
Answer: | noise | For some people, an ideal withdrawal rate may be 5%, 3% or even 2% depending on factors such as the size of their portfolio, how much debt they have, their living expenses, and how they want to spend their retirement. | [
"noise",
"causal"
] | 0 |
causal20sc8434 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Stewart of BNY Mellon says it's also important for retirees to manage and evaluate their withdrawal rates regularly, as markets fluctuate and other life circumstances change, to help ensure retirees stay on track with their plan.
Answer: | noise | Stewart of BNY Mellon says it's also important for retirees to manage and evaluate their withdrawal rates regularly, as markets fluctuate and other life circumstances change, to help ensure retirees stay on track with their plan. | [
"noise",
"causal"
] | 0 |
causal20sc8435 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: She recommends that investors develop an integrated asset-allocation strategy that works with their expenses.
Answer: | noise | She recommends that investors develop an integrated asset-allocation strategy that works with their expenses. | [
"noise",
"causal"
] | 0 |
causal20sc8436 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: For instance, she says, some retirees may require a more conservative 60% fixed-income allocation (with only 40% in stocks) when their portfolio primarily covers fixed expenses, such as housing, utilities, food, clothing, and transportation.
Answer: | causal | For instance, she says, some retirees may require a more conservative 60% fixed-income allocation (with only 40% in stocks) when their portfolio primarily covers fixed expenses, such as housing, utilities, food, clothing, and transportation. | [
"noise",
"causal"
] | 1 |
causal20sc8437 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: On the other hand, a slightly more aggressive portfolio could be appropriate for some retirees whose life circumstances are different, she says.
Answer: | noise | On the other hand, a slightly more aggressive portfolio could be appropriate for some retirees whose life circumstances are different, she says. | [
"noise",
"causal"
] | 0 |
causal20sc8438 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Another commonly false assumption pre-retirees make is that their tax rate will be significantly lower in retirement.
Answer: | noise | Another commonly false assumption pre-retirees make is that their tax rate will be significantly lower in retirement. | [
"noise",
"causal"
] | 0 |
causal20sc8439 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: They assume because they are no longer bringing in the same level of income, they won't be paying the same level of taxes.
Answer: | noise | They assume because they are no longer bringing in the same level of income, they won't be paying the same level of taxes. | [
"noise",
"causal"
] | 0 |
causal20sc8440 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: But often they forget they will still owe taxes on their traditional 401(k) distributions, says Gary Droz, managing director at MainLine Private Wealth, a registered investment advisor in Wynnewood, Pa. He says families - particularly those with household earnings over $100,000 - often have a similar tax rate in retirement, or even higher once required minimum distributions are taken into account.
Answer: | noise | But often they forget they will still owe taxes on their traditional 401(k) distributions, says Gary Droz, managing director at MainLine Private Wealth, a registered investment advisor in Wynnewood, Pa. He says families - particularly those with household earnings over $100,000 - often have a similar tax rate in retirement, or even higher once required minimum distributions are taken into account. | [
"noise",
"causal"
] | 0 |
causal20sc8441 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This miscalculation is especially impactful because so many families have such a significant portion of their wealth tied up in a traditional 401(k) and IRS rules don't allow people to keep the money in these accounts indefinitely.
Answer: | noise | This miscalculation is especially impactful because so many families have such a significant portion of their wealth tied up in a traditional 401(k) and IRS rules don't allow people to keep the money in these accounts indefinitely. | [
"noise",
"causal"
] | 0 |
causal20sc8442 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: People generally have to start taking distributions from their traditional 401(k) at age 70½ at ordinary income rates.
Answer: | noise | People generally have to start taking distributions from their traditional 401(k) at age 70½ at ordinary income rates. | [
"noise",
"causal"
] | 0 |
causal20sc8443 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Oftentimes, these amounts are enough to put them over the tax rate they were when they were earning income from their jobs, Droz says. Had they realized this before retirement, they might have been able to take advantage of the Roth 401(k), which is funded with after-tax dollars and whose withdrawals are tax-free if the account owner is at least 59½ and has held the account for at least five years. Converting a traditional 401(k) to a Roth 401(k) may not make sense because of tax considerations, but a majority of companies that offer a traditional 401(k) plan also offer a Roth 401(k) option, Droz says.
Answer: | noise | Oftentimes, these amounts are enough to put them over the tax rate they were when they were earning income from their jobs, Droz says. Had they realized this before retirement, they might have been able to take advantage of the Roth 401(k), which is funded with after-tax dollars and whose withdrawals are tax-free if the account owner is at least 59½ and has held the account for at least five years. Converting a traditional 401(k) to a Roth 401(k) may not make sense because of tax considerations, but a majority of companies that offer a traditional 401(k) plan also offer a Roth 401(k) option, Droz says. | [
"noise",
"causal"
] | 0 |
causal20sc8444 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: People can ask their employer about the possibility of including this feature if the option doesn't already exist, he says.
Answer: | noise | People can ask their employer about the possibility of including this feature if the option doesn't already exist, he says. | [
"noise",
"causal"
] | 0 |
causal20sc8445 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: What many individuals fail to realize is that the majority of your retirement account balance at the end of your working life is earnings, not contributions, Droz says. If you used a Roth 401(k)?
Answer: | noise | What many individuals fail to realize is that the majority of your retirement account balance at the end of your working life is earnings, not contributions, Droz says. If you used a Roth 401(k)? | [
"noise",
"causal"
] | 0 |
causal20sc8446 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Every dollar of that balance is yours to keep.
Answer: | noise | Every dollar of that balance is yours to keep. | [
"noise",
"causal"
] | 0 |
causal20sc8447 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The upshot, Droz says, is this: The concern that people will outlive their money - or be forced to crimp their lifestyle in retirement - is exacerbated by the fact that many retirees underestimate their tax liability. They don't consider taxes a viable drag on their cost of living, he says, but that's just not the case.
Answer: | noise | The upshot, Droz says, is this: The concern that people will outlive their money - or be forced to crimp their lifestyle in retirement - is exacerbated by the fact that many retirees underestimate their tax liability. They don't consider taxes a viable drag on their cost of living, he says, but that's just not the case. | [
"noise",
"causal"
] | 0 |
causal20sc8448 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Questions?
Answer: | noise | Questions? | [
"noise",
"causal"
] | 0 |
causal20sc8449 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Comments?
Answer: | noise | Comments? | [
"noise",
"causal"
] | 0 |
causal20sc8450 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Write to us at Cheryl Winokur Munk
Answer: | noise | Write to us at Cheryl Winokur Munk | [
"noise",
"causal"
] | 0 |
causal20sc8451 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The US Federal Reserve cut interest rates again last night to help sustain a record-long economic expansion but signaled a higher bar to further reductions in borrowing costs. This elicited a fast and sharp rebuke from President Donald Trump.
Answer: | noise | The US Federal Reserve cut interest rates again last night to help sustain a record-long economic expansion but signaled a higher bar to further reductions in borrowing costs. This elicited a fast and sharp rebuke from President Donald Trump. | [
"noise",
"causal"
] | 0 |
causal20sc8452 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Describing the US economic outlook as favourable, Fed Chair Jerome Powell said the rate cut was designed to provide insurance against ongoing risks including weak global growth and resurgent trade tensions. If the economy does turn down, then a more extensive sequence of rate cuts could be appropriate, Powell said in a news conference. He made his comments after the Fed lowered its benchmark overnight lending rate by a quarter of a percentage point to a range of 1.75% to 2%.
Answer: | noise | Describing the US economic outlook as favourable, Fed Chair Jerome Powell said the rate cut was designed to provide insurance against ongoing risks including weak global growth and resurgent trade tensions. If the economy does turn down, then a more extensive sequence of rate cuts could be appropriate, Powell said in a news conference. He made his comments after the Fed lowered its benchmark overnight lending rate by a quarter of a percentage point to a range of 1.75% to 2%. | [
"noise",
"causal"
] | 0 |
causal20sc8453 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: This was the second Fed rate cut this year.
Answer: | noise | This was the second Fed rate cut this year. | [
"noise",
"causal"
] | 0 |
causal20sc8454 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: What we think we are facing here is a situation which can be addressed, which should be addressed, with moderate adjustments to the federal funds rate, Mr Powell said. He also noted that the US labour market was strong and inflation was likely to return to the Fed's 2% annual goal.
Answer: | noise | What we think we are facing here is a situation which can be addressed, which should be addressed, with moderate adjustments to the federal funds rate, Mr Powell said. He also noted that the US labour market was strong and inflation was likely to return to the Fed's 2% annual goal. | [
"noise",
"causal"
] | 0 |
causal20sc8455 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: We are going to be highly data-dependent.
Answer: | noise | We are going to be highly data-dependent. | [
"noise",
"causal"
] | 0 |
causal20sc8456 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: We are not on a pre-set course, we are going to be making decisions meeting by meeting, Powell said, adding that the Fed would stop cutting rates when we think we've done enough. Trump blasted Powell, saying the Fed chief had No 'guts,' no sense, no vision! Jay Powell and the Federal Reserve Fail Again.
Answer: | noise | We are not on a pre-set course, we are going to be making decisions meeting by meeting, Powell said, adding that the Fed would stop cutting rates when we think we've done enough. Trump blasted Powell, saying the Fed chief had No 'guts,' no sense, no vision! Jay Powell and the Federal Reserve Fail Again. | [
"noise",
"causal"
] | 0 |
causal20sc8457 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: No guts, no sense, no vision!
Answer: | noise | No guts, no sense, no vision! | [
"noise",
"causal"
] | 0 |
causal20sc8458 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: A terrible communicator! - Donald J. Trump (@realDonaldTrump) September 18, 2019 The tweet went out before Powell had even begun his news conference.
Answer: | noise | A terrible communicator! - Donald J. Trump (@realDonaldTrump) September 18, 2019 The tweet went out before Powell had even begun his news conference. | [
"noise",
"causal"
] | 0 |
causal20sc8459 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Underscoring divisions within the US Fed, last night's quarter-point rate cut drew dissents from three of the 10 voting policymakers.
Answer: | noise | Underscoring divisions within the US Fed, last night's quarter-point rate cut drew dissents from three of the 10 voting policymakers. | [
"noise",
"causal"
] | 0 |
causal20sc8460 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Kansas City Fed President Esther George and Boston Fed President Eric Rosengren called for no rate cut, and St Louis Fed President James Bullard wanted a bigger half-point rate cut.
Answer: | noise | Kansas City Fed President Esther George and Boston Fed President Eric Rosengren called for no rate cut, and St Louis Fed President James Bullard wanted a bigger half-point rate cut. | [
"noise",
"causal"
] | 0 |
causal20sc8461 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Forecasts from all 17 policymakers released at the end of the meeting showed even broader disagreement, with seven expecting a third rate cut this year, five seeing the current rate cut as the last for 2019, and five who appeared to have been against even last night's move. The US Fed also widened the gap between the interest it pays banks on excess reserves and the top of its policy rate range, a step taken to smooth out problems in money markets that prompted a market intervention by the New York Fed this week. In a hint that the Fed may soon take bigger steps, Powell acknowledged that strains in funding markets had been bigger than expected.
Answer: | noise | Forecasts from all 17 policymakers released at the end of the meeting showed even broader disagreement, with seven expecting a third rate cut this year, five seeing the current rate cut as the last for 2019, and five who appeared to have been against even last night's move. The US Fed also widened the gap between the interest it pays banks on excess reserves and the top of its policy rate range, a step taken to smooth out problems in money markets that prompted a market intervention by the New York Fed this week. In a hint that the Fed may soon take bigger steps, Powell acknowledged that strains in funding markets had been bigger than expected. | [
"noise",
"causal"
] | 0 |
causal20sc8462 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: He said the Fed may need to resume increases to the Fed's balance sheet earlier than previously thought.
Answer: | noise | He said the Fed may need to resume increases to the Fed's balance sheet earlier than previously thought. | [
"noise",
"causal"
] | 0 |
causal20sc8463 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: New projections showed Fed policymakers expected rates to stay within the new range up to 2020.
Answer: | noise | New projections showed Fed policymakers expected rates to stay within the new range up to 2020. | [
"noise",
"causal"
] | 0 |
causal20sc8464 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: There is a lot of uncertainty around rate-path views and the economic outlook, Powell said. But there was little change in policymakers' projections for the economy, with GDP growth seen at a slightly higher 2.2% this year and the unemployment rate to be 3.7% up to 2020. Inflation is projected to be 1.5% for the year, below the Fed's 2% target, before rising to 1.9% next year.
Answer: | noise | There is a lot of uncertainty around rate-path views and the economic outlook, Powell said. But there was little change in policymakers' projections for the economy, with GDP growth seen at a slightly higher 2.2% this year and the unemployment rate to be 3.7% up to 2020. Inflation is projected to be 1.5% for the year, below the Fed's 2% target, before rising to 1.9% next year. | [
"noise",
"causal"
] | 0 |
causal20sc8465 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The Fed also cut rates in July, the first such move since 2008, as it responded to risks from Trump's trade war with China and other overseas developments.
Answer: | noise | The Fed also cut rates in July, the first such move since 2008, as it responded to risks from Trump's trade war with China and other overseas developments. | [
"noise",
"causal"
] | 0 |
causal20sc8466 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Shareholders of record on Monday, September 30th will be given a dividend of 0.01 per share by the basic materials company on Tuesday, October 15th. This represents a $0.04 annualized dividend and a yield of 1.16%.
Answer: | causal | Shareholders of record on Monday, September 30th will be given a dividend of 0.01 per share by the basic materials company on Tuesday, October 15th. This represents a $0.04 annualized dividend and a yield of 1.16%. | [
"noise",
"causal"
] | 1 |
causal20sc8467 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The ex-dividend date is Friday, September 27th. This is a boost from Yamana Gold's previous quarterly dividend of $0.005.
Answer: | noise | The ex-dividend date is Friday, September 27th. This is a boost from Yamana Gold's previous quarterly dividend of $0.005. | [
"noise",
"causal"
] | 0 |
causal20sc8468 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Yamana Gold has decreased its dividend by an average of 30.7% annually over the last three years. Yamana Gold has a payout ratio of 36.4% indicating that its dividend is sufficiently covered by earnings. Equities research analysts expect Yamana Gold to earn $0.10 per share next year, which means the company should continue to be able to cover its $0.04 annual dividend with an expected future payout ratio of 40.0%.
Answer: | noise | Yamana Gold has decreased its dividend by an average of 30.7% annually over the last three years. Yamana Gold has a payout ratio of 36.4% indicating that its dividend is sufficiently covered by earnings. Equities research analysts expect Yamana Gold to earn $0.10 per share next year, which means the company should continue to be able to cover its $0.04 annual dividend with an expected future payout ratio of 40.0%. | [
"noise",
"causal"
] | 0 |
causal20sc8469 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: NYSE:AUY traded down $0.19 during trading hours on Wednesday, hitting $3.44. 17,144,700 shares of the company were exchanged, compared to its average volume of 14,045,282.
Answer: | causal | NYSE:AUY traded down $0.19 during trading hours on Wednesday, hitting $3.44. 17,144,700 shares of the company were exchanged, compared to its average volume of 14,045,282. | [
"noise",
"causal"
] | 1 |
causal20sc8470 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The stock has a market capitalization of $3.42 billion, a price-to-earnings ratio of 28.67 and a beta of 0.88. Yamana Gold has a 52-week low of $1.78 and a 52-week high of $3.78. The company has a debt-to-equity ratio of 0.44, a current ratio of 1.66 and a quick ratio of 1.46.
Answer: | noise | The stock has a market capitalization of $3.42 billion, a price-to-earnings ratio of 28.67 and a beta of 0.88. Yamana Gold has a 52-week low of $1.78 and a 52-week high of $3.78. The company has a debt-to-equity ratio of 0.44, a current ratio of 1.66 and a quick ratio of 1.46. | [
"noise",
"causal"
] | 0 |
causal20sc8471 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company's 50 day moving average price is $3.47 and its 200-day moving average price is $2.67.
Answer: | noise | The company's 50 day moving average price is $3.47 and its 200-day moving average price is $2.67. | [
"noise",
"causal"
] | 0 |
causal20sc8472 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Yamana Gold (NYSE:AUY) (TSE:YRI) last released its earnings results on Thursday, July 25th.
Answer: | noise | Yamana Gold (NYSE:AUY) (TSE:YRI) last released its earnings results on Thursday, July 25th. | [
"noise",
"causal"
] | 0 |
causal20sc8473 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The basic materials company reported $0.02 earnings per share for the quarter, topping the consensus estimate of $0.01 by $0.01.
Answer: | causal | The basic materials company reported $0.02 earnings per share for the quarter, topping the consensus estimate of $0.01 by $0.01. | [
"noise",
"causal"
] | 1 |
causal20sc8474 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company had revenue of $463.50 million for the quarter, compared to the consensus estimate of $448.19 million. Yamana Gold had a negative net margin of 7.49% and a positive return on equity of 2.32%. Yamana Gold's revenue was up 6.4% compared to the same quarter last year.
Answer: | causal | The company had revenue of $463.50 million for the quarter, compared to the consensus estimate of $448.19 million. Yamana Gold had a negative net margin of 7.49% and a positive return on equity of 2.32%. Yamana Gold's revenue was up 6.4% compared to the same quarter last year. | [
"noise",
"causal"
] | 1 |
causal20sc8475 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: During the same quarter in the previous year, the firm earned $0.02 EPS.
Answer: | noise | During the same quarter in the previous year, the firm earned $0.02 EPS. | [
"noise",
"causal"
] | 0 |
causal20sc8476 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: On average, equities analysts predict that Yamana Gold will post 0.06 earnings per share for the current year. AUY has been the topic of several research analyst reports.
Answer: | noise | On average, equities analysts predict that Yamana Gold will post 0.06 earnings per share for the current year. AUY has been the topic of several research analyst reports. | [
"noise",
"causal"
] | 0 |
causal20sc8477 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: National Bank Financial raised shares of Yamana Gold from a sector perform rating to an outperform rating and set a $2.53 target price on the stock in a research report on Friday, June 28th.
Answer: | noise | National Bank Financial raised shares of Yamana Gold from a sector perform rating to an outperform rating and set a $2.53 target price on the stock in a research report on Friday, June 28th. | [
"noise",
"causal"
] | 0 |
causal20sc8478 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: CIBC set a $4.00 price objective on shares of Yamana Gold and gave the company a buy rating in a report on Friday, September 6th.
Answer: | noise | CIBC set a $4.00 price objective on shares of Yamana Gold and gave the company a buy rating in a report on Friday, September 6th. | [
"noise",
"causal"
] | 0 |
causal20sc8479 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Credit Suisse Group reaffirmed a buy rating and issued a $4.00 price objective on shares of Yamana Gold in a report on Thursday, September 19th. Royal Bank of Canada upped their price objective on shares of Yamana Gold from $3.00 to $3.50 and gave the company a sector perform rating in a report on Wednesday, August 7th.
Answer: | noise | Credit Suisse Group reaffirmed a buy rating and issued a $4.00 price objective on shares of Yamana Gold in a report on Thursday, September 19th. Royal Bank of Canada upped their price objective on shares of Yamana Gold from $3.00 to $3.50 and gave the company a sector perform rating in a report on Wednesday, August 7th. | [
"noise",
"causal"
] | 0 |
causal20sc8480 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Finally, Zacks Investment Research raised shares of Yamana Gold from a hold rating to a buy rating and set a $4.00 price target on the stock in a report on Wednesday.
Answer: | noise | Finally, Zacks Investment Research raised shares of Yamana Gold from a hold rating to a buy rating and set a $4.00 price target on the stock in a report on Wednesday. | [
"noise",
"causal"
] | 0 |
causal20sc8481 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: One research analyst has rated the stock with a sell rating, seven have issued a hold rating and six have given a buy rating to the company's stock.
Answer: | noise | One research analyst has rated the stock with a sell rating, seven have issued a hold rating and six have given a buy rating to the company's stock. | [
"noise",
"causal"
] | 0 |
causal20sc8482 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has an average rating of Hold and a consensus target price of $3.39.
Answer: | noise | The company has an average rating of Hold and a consensus target price of $3.39. | [
"noise",
"causal"
] | 0 |
causal20sc8483 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Yamana Gold Company Profile Yamana Gold Inc engages in operating mines, development stage projects, and exploration and mineral properties primarily in Canada, Brazil, Chile, and Argentina. The company primarily sells precious metals, including gold, silver, and copper.
Answer: | noise | Yamana Gold Company Profile Yamana Gold Inc engages in operating mines, development stage projects, and exploration and mineral properties primarily in Canada, Brazil, Chile, and Argentina. The company primarily sells precious metals, including gold, silver, and copper. | [
"noise",
"causal"
] | 0 |
causal20sc8484 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Its principal mining properties comprise the Chapada and Jacobina mines in Brazil the Canadian Malartic mine in Canada and the Cerro Moro mine in Argentina and the El Peñón and Minera Florida mines in Chile. Recommended Story: Capital Gains Receive News & Ratings for Yamana Gold Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Yamana Gold and related companies with MarketBeat.com's FREE daily email newsletter.
Answer: | noise | Its principal mining properties comprise the Chapada and Jacobina mines in Brazil the Canadian Malartic mine in Canada and the Cerro Moro mine in Argentina and the El Peñón and Minera Florida mines in Chile. Recommended Story: Capital Gains Receive News & Ratings for Yamana Gold Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Yamana Gold and related companies with MarketBeat.com's FREE daily email newsletter. | [
"noise",
"causal"
] | 0 |
causal20sc8485 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Justin Noah
Answer: | noise | Justin Noah | [
"noise",
"causal"
] | 0 |
causal20sc8486 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Olympia Financial Group Inc (OLY) to Issue Monthly Dividend of $0.23 on September 30th . Stockholders of record on Monday, September 30th will be paid a dividend of 0.23 per share by the health services provider on Monday, September 30th. This represents a $2.76 annualized dividend and a dividend yield of 6.38%.
Answer: | causal | Olympia Financial Group Inc (OLY) to Issue Monthly Dividend of $0.23 on September 30th . Stockholders of record on Monday, September 30th will be paid a dividend of 0.23 per share by the health services provider on Monday, September 30th. This represents a $2.76 annualized dividend and a dividend yield of 6.38%. | [
"noise",
"causal"
] | 1 |
causal20sc8487 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The ex-dividend date of this dividend is Thursday, September 19th.
Answer: | noise | The ex-dividend date of this dividend is Thursday, September 19th. | [
"noise",
"causal"
] | 0 |
causal20sc8488 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Shares of Olympia Financial Group stock traded up C$0.25 on Tuesday, hitting C$43.25. 350 shares of the company's stock traded hands, compared to its average volume of 1,207.
Answer: | causal | Shares of Olympia Financial Group stock traded up C$0.25 on Tuesday, hitting C$43.25. 350 shares of the company's stock traded hands, compared to its average volume of 1,207. | [
"noise",
"causal"
] | 1 |
causal20sc8489 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Olympia Financial Group has a one year low of C$38.01 and a one year high of C$56.00.
Answer: | noise | Olympia Financial Group has a one year low of C$38.01 and a one year high of C$56.00. | [
"noise",
"causal"
] | 0 |
causal20sc8490 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has a debt-to-equity ratio of 68.91, a current ratio of 1.20 and a quick ratio of 1.14.
Answer: | noise | The company has a debt-to-equity ratio of 68.91, a current ratio of 1.20 and a quick ratio of 1.14. | [
"noise",
"causal"
] | 0 |
causal20sc8491 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has a fifty day moving average of C$45.49 and a two-hundred day moving average of C$49.50.
Answer: | noise | The company has a fifty day moving average of C$45.49 and a two-hundred day moving average of C$49.50. | [
"noise",
"causal"
] | 0 |
causal20sc8492 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company has a market capitalization of $102.26 million and a price-to-earnings ratio of 10.41.
Answer: | noise | The company has a market capitalization of $102.26 million and a price-to-earnings ratio of 10.41. | [
"noise",
"causal"
] | 0 |
causal20sc8493 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In other Olympia Financial Group news, Director Brian Ross Newman bought 500 shares of the business's stock in a transaction that occurred on Friday, July 5th. The shares were bought at an average price of C$53.04 per share, for a total transaction of C$26,520.00. Following the transaction, the director now directly owns 11,041 shares in the company, valued at C$585,614.64.
Answer: | causal | In other Olympia Financial Group news, Director Brian Ross Newman bought 500 shares of the business's stock in a transaction that occurred on Friday, July 5th. The shares were bought at an average price of C$53.04 per share, for a total transaction of C$26,520.00. Following the transaction, the director now directly owns 11,041 shares in the company, valued at C$585,614.64. | [
"noise",
"causal"
] | 1 |
causal20sc8494 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: In the last 90 days, insiders have purchased 817 shares of company stock worth $39,799. About Olympia Financial Group Olympia Financial Group Inc, through its subsidiary, Olympia Trust Company, operates as a non-deposit taking trust company in Canada.
Answer: | noise | In the last 90 days, insiders have purchased 817 shares of company stock worth $39,799. About Olympia Financial Group Olympia Financial Group Inc, through its subsidiary, Olympia Trust Company, operates as a non-deposit taking trust company in Canada. | [
"noise",
"causal"
] | 0 |
causal20sc8495 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: The company operates through Private Health Services Plan, Self-Directed Registered Plans, Foreign Exchange, Corporate and Shareholder Services, and Exempt Edge divisions.
Answer: | noise | The company operates through Private Health Services Plan, Self-Directed Registered Plans, Foreign Exchange, Corporate and Shareholder Services, and Exempt Edge divisions. | [
"noise",
"causal"
] | 0 |
causal20sc8496 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Read More: What is the Bid-Ask Spread?
Answer: | noise | Read More: What is the Bid-Ask Spread? | [
"noise",
"causal"
] | 0 |
causal20sc8497 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Receive News & Ratings for Olympia Financial Group Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Olympia Financial Group and related companies with MarketBeat.com's FREE daily email newsletter.
Answer: | noise | Receive News & Ratings for Olympia Financial Group Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Olympia Financial Group and related companies with MarketBeat.com's FREE daily email newsletter. | [
"noise",
"causal"
] | 0 |
causal20sc8498 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Anthony Bellafiore
Answer: | noise | Anthony Bellafiore | [
"noise",
"causal"
] | 0 |
causal20sc8499 | In this task, you are provided with sentences extracted from financial news and SEC data. Your goal is to classify each sentence into either 'causal' or 'noise' based on whether or not it indicates a causal relationship between financial events. Please return only the category 'causal' or 'noise'.
Text: Invesco Emerging Markets Ultra Dividend Revenue ETF (NYSEARCA:REDV) Trading Down 0.6% Tweet Invesco Emerging Markets Ultra Dividend Revenue ETF (NYSEARCA:REDV) traded down 0.6% during trading on Tuesday . The company traded as low as $23.13 and last traded at $23.13, 100 shares were traded during mid-day trading.
Answer: | noise | Invesco Emerging Markets Ultra Dividend Revenue ETF (NYSEARCA:REDV) Trading Down 0.6% Tweet Invesco Emerging Markets Ultra Dividend Revenue ETF (NYSEARCA:REDV) traded down 0.6% during trading on Tuesday . The company traded as low as $23.13 and last traded at $23.13, 100 shares were traded during mid-day trading. | [
"noise",
"causal"
] | 0 |