Why do stocks track the price of Oil?
"Anthony Russell - I agree with JohnFx. Petroleum is used in making many things such as asphalt, road oil, plastic, jet fuel, etc. It's also used in some forms of electricity generation, and some electric cars use gasoline as a backup form of energy, petrol is also used in electricity generation outside of cars. Source can be found here. But to answer your question of why shares of electric car companies are not always negatively related to one another deals with supply and demand. If investors feel positively about petroleum and petroleum related prospects, then they are going to buy or attempt to buy shares of ""X"" petrol company. This will cause the price of ""X"", petrol company to rise, ceteris paribus. Just because the price of petroleum is high doesn't mean investors are going to buy shares of an electric car company. Petrol prices could be high, but numerous electric car companies could be doing poorly, now, with that being said you could argue that sales of electric cars may go up when petrol prices are high, but there are numerous factors that come into play here. I think it would be a good idea to do some more research if you are planning on investing. Also, remember, after a company goes public they no longer set the price of the shares of their stock. The price of company ""X"" shares are determined by supply and demand, which is inherently determined by investors attitudes and expectations, ultimately defined by past company performance, expectations of future performance, earnings, etc.. It could be that when the market is doing well - it's a good sign of other macroeconomic variables (employment, GDP, incomes, etc) and all these factors power how often individuals travel, vacation, etc. It also has to deal with the economy of the country producing the oil, when you have OPEC countries selling petrol to the U.S. it is likely much cheaper per barrel than domestic produced and refined petrol because of the labor laws, etc. So a strong economy may be somewhat correlated with oil prices and a strong market, but it's not necessarily the case that strong oil prices drive the economy..I think this is a great research topic that cannot be answered in one post.. Check this article here. From here you can track down what research the Fed of Cleveland has done concerning this. My advice to you is to not believe everything your peers tell you, but to research everything your peers tell you. With just a few clicks you can figure out the legitimacy of many things to at least some degree."
If you have money and may need to access it at any time, you should put it in a savings account.  It won't return much interest, but it will return some and it is easily accessible.   If you have all your emergency savings that you need (at least six months of income), buy index-based mutual funds.  These should invest in a broad range of securities including both stocks and bonds (three dollars in stocks for every dollar in bonds) so as to be robust in the face of market shifts.   You should not buy individual stocks unless you have enough money to buy a lot of them in different industries.  Thirty different stocks is a minimum for a diversified portfolio, and you really should be looking at more like a hundred.  There's also considerable research effort required to verify that the stocks are good buys.  For most people, this is too much work.  For most people, broad-based index funds are better purchases.  You don't have as much upside, but you also are much less likely to find yourself holding worthless paper.   If you do buy stocks, look for ones where you know something about them.  For example, if you've been to a restaurant chain with a recent IPO that really wowed you with their food and service, consider investing.  But do your research, so that you don't get caught buying after everyone else has already overbid the price.  The time to buy is right before everyone else notices how great they are, not after.   Some people benefit from joining investment clubs with others with similar incomes and goals.  That way you can share some of the research duties.  Also, you can get other opinions before buying, which can restrain risky impulse buys.   Just to reiterate, I would recommend sticking to mutual funds and saving accounts for most investors.  Only make the move into individual stocks if you're willing to be serious about it.  There's considerable work involved.  And don't forget diversification.  You want to have stocks that benefit regardless of what the overall economy does.  Some stocks should benefit from lower oil prices while others benefit from higher prices.  You want to have both types so as not to be caught flat-footed when prices move.   There are much more experienced people trying to guess market directions.  If your strategy relies on outperforming them, it has a high chance of failure.  Index-based mutual funds allow you to share the diversification burden with others.  Since the market almost always goes up in the long term, a fund that mimics the market is much safer than any individual security can be.  Maintaining a three to one balance in stocks to bonds also helps as they tend to move in opposite directions.  I.e. stocks tend to be good when bonds are weak and vice versa. "This is the best tl;dr I could make, [original](http://www.imf.org/en/Publications/WP/Issues/2017/07/18/A-Crude-Shock-Explaining-the-Impact-of-the-2014-16-Oil-Price-Decline-Across-Exporters-44966) reduced by 62%. (I'm a bot) ***** &gt; The decline in oil prices in 2014-16 was one of the sharpest in history, and put to test the resilience of oil exporters.  &gt; We examine the degree to which economic fundamentals entering the oil price decline explain the impact on economic growth across oil exporting economies, and derive policy implications as to what factors help to mitigate the negative eects.  &gt; Within this group of countries, the impact of the shock is not found to be related to the size of oil exports, or the share of oil in scal revenue or economic activity.   ***** [**Extended Summary**](http://np.reddit.com/r/autotldr/comments/6o5byg/imfa_crude_shock_explaining_the_impact_of_the/) | [FAQ](http://np.reddit.com/r/autotldr/comments/31b9fm/faq_autotldr_bot/ ""Version 1.65, ~170095 tl;drs so far."") | [Feedback](http://np.reddit.com/message/compose?to=%23autotldr ""PM's and comments are monitored, constructive feedback is welcome."") | *Top* *keywords*: **oil**^#1 **export**^#2 **IMF**^#3 **view**^#4 **economic**^#5" As I write this, the NASDAQ Composite is at 2790.00, down 6.14 points from yesterday. To calculate the percentage, you take 6.14 and divide by yesterday's close of 2796.14 to yield 0.22%. In your example, if SPY drops from 133.68 to 133.32, you use the difference of -0.36 and divide by the original, i.e. -0.36/133.68 = -0.27%. SPY is an ETF which you can invest in that tracks the S&P 500 index. Ideally, the index would have dropped the same percentage as SPY, but the points would be different (~10x higher). To answer your question about how one qualifies a point, it completely depends on the index being discussed. For example, the S&P 500 is a market-capitalization weighted index of the common stock of 500 large-cap US public companies. It is as if you owned every share of each of the 500 companies, then divide by some large constant to create a number that's easily understood mentally (i.e. 1330). The NASDAQ Composite used the same methodology but includes practically all stocks listed on the NASDAQ. Meanwhile, the Dow Jones Industrial Average is a price-weighted index of 30 large-cap companies. It's final value is modified using a divisor known as the Dow Divisor, which accounts for stock splits and similar events that have occurred since a stock has joined the index. Thus, points when referring to an index do not typically represent dollars. Rather, they serve as a quantitative measure of how the market is doing based on the performance of the index constituents. ETFs like SPY add a layer of abstraction by creating an investible vehicle that ideally tracks the value of the underlying index directly. Finally, neither price nor index value is related to volume. Volume is a raw measurement of the total number of shares traded for a given stock or the aggregate for a given exchange. Hope this helps! "Inflation as defined in the general, has many impacts at a personal level. For example, you say that the reduction in the price of oil has no impact on you.  That's absolutely not true, unless you're a hermit living off of the land.  Every box or can or jar of food you buy off the shelf of the grocery store has the price of oil baked into it, because it had to get there somehow.  High fuel costs for trucks mean increased costs to put food on shelves, which mean increased prices for that food. Even tobacco prices can affect you, because they affect what other people are spending.  Demand is always a significant factor in prices, particularly retail prices, and if people are spending more money on tobacco, they're probably spending less on other things - either buying less snacks, for example, or buying cheaper brands of those snacks.  So the price of Doritos may drop a bit (or not rise), for example. General inflation also tends to drive raises, particularly in industries with relatively small performance ties to raises.  If inflation is 3%, wages need to raise 3% or so in order to keep up, on average; even if your personal cost-of-living went up 0%, or 5%, or 10%, the default wage inflation will be closer to that of the national average.  Any raise less than national average is effectively a pay cut (which is one reason why inflation is needed in a healthy economy).  So your company probably has a cost-of-living raise everyone gets that's a bit less than inflation, and then good performers get a bump up to a bit more than inflation.  You can read more on this topic for a more in-depth explanation. Finally, inflation rates tend to be major factors in stock market movement.  Inflation that is too high, or too low, can lead to higher volatility; inflation that is ""right"" can lead to higher stability.  An economy that has consistently ""right"" inflation (around 2-3% typically) will tend to have more stable stock market in general, and thus more reliable returns from that market.  There are many other factors that lead to stock markets rising and falling, but inflation is one very relevant one, particularly if it's not in the ""right"" zone." "Stock returns cannot be evaluated on its own. You need to take into account inflation and the return of other investment vehicles. Over the long run, you want to earn more than your peers (ie inflation), or lose less than them. Stock lets you buy into the profits of a company managed by others. So the fundamental question is ""do those company managers make better decision than average person?"" Of course there are times when they make awful decisions (eg just before dotcom bubble), and sometimes the best decision is to close the business. But overall those people are much better educated, have higher IQ, more resourceful, etc, and so over long time and across all the companies, this is correct and hence the stock market premium." As others have pointed out, the value of Apple's stock and the NASDAQ are most likely highly correlated for a number of reasons, not least among them the fact that Apple is part of the NASDAQ. However, because numerous factors affect the entire market, or at least a significant subset of it, it makes sense to develop a strategy to remove all of these factors without resorting to use of an index. Using an index to remove the effect of these factors might be a good idea, but you run the risk of potentially introducing other factors that affect the index, but not Apple. I don't know what those would be, but it's a valid theoretical concern.  In your question, you said you wanted to subtract them from each other, and only see an Apple curve moving around a horizontal line. The basic strategy I plan to use is similar but even simpler. Instead of graphing Apple's stock price, we can plot the difference between its stock price on business day t and business day t-1, which gives us this graph, which is essentially what you're looking for:  While this is only the preliminaries, it should give you a basic idea of one procedure that's used extensively to do just what you're asking. I don't know of a website that will automatically give you such a metric, but you could download the price data and use Excel, Stata, etc. to analyze this.  The reasoning behind this methodology builds heavily on time series econometrics, which for the sake of simplicity I won't go into in great detail, but I'll provide a brief explanation to satisfy the curious. In simple econometrics, most time series are approximated by a mathematical process comprised of several components: In the simplest case, the equations for a time series containing one or more of the above components are of the form that taking the first difference (the procedure I used above) will leave only the random component. However, if you want to pursue this rigorously, you would first perform a set of tests to determine if these components exist and if differencing is the best procedure to remove those that are present. Once you've reduced the series to its random component, you can use that component to examine how the process underlying the stock price has changed over the years. In my example, I highlighted Steve Jobs' death on the chart because it's one factor that may have led to the increased standard deviation/volatility of Apple's stock price. Although charts are somewhat subjective, it appears that the volatility was already increasing before his death, which could reflect other factors or the increasing expectation that he wouldn't be running the company in the near future, for whatever reason. My discussion of time series decomposition and the definitions of various components relies heavily on Walter Ender's text Applied Econometric Time Series. If you're interested, simple mathematical representations and a few relevant graphs are found on pages 1-3. Another related procedure would be to take the logarithm of the quotient of the current day's price and the previous day's price. In Apple's case, doing so yields this graph:  This reduces the overall magnitude of the values and allows you to see potential outliers more clearly. This produces a similar effect to the difference taken above because the log of a quotient is the same as the difference of the logs The significant drop depicted during the year 2000 occurred between September 28th and September 29th, where the stock price dropped from 26.36 to 12.69. Apart from the general environment of the dot-com bubble bursting, I'm not sure why this occurred. Another excellent resource for time series econometrics is James Hamilton's book, Time Series Analysis. It's considered a classic in the field of econometrics, although similar to Enders' book, it's fairly advanced for most investors.  I used Stata to generate the graphs above with data from Yahoo! Finance: There are a couple of nuances in this code related to how I defined the time series and the presence of weekends, but they don't affect the overall concept. For a robust analysis, I would make a few quick tweaks that would make the graphs less appealing without more work, but would allow for more accurate econometrics. Here are some significant factors affect the company stock price performance: Usually, profitability is known to the public through the financial statements; it won't be 100% accurate and people would also trade the stock with the price not matching to the true value of the firm. Still there are dozens of other various reasons exist. People are just not behaving as rational as what the textbook describes when they are trading and investing. No matter how a company releases relevant information about their business, SOMEBODY will be the first to see it. I mean, of all the people looking, someone has to be the first. I presume that professional stock brokers have their eyes on these things closely and know exactly who publishes where and when to expect new information. In real life, many brokers are going to be seeing this information within seconds of each other. I suppose if one sees it half a second before everybody else, knows what he's looking for and has already decided what he's going to do based on this information, he might get a buy or sell order in before anybody else. Odds are that if you're not a professional broker, you don't know when to expect new information to be posted, and you probably have a job or a family or like to eat and sleep now and then, so you can't be watching somebody's web site constantly, so you'll be lagging hours or days behind the full-time professionals.