Where can I find accurate historical distribution data for mutual funds?
"In the case of a specific fund, I'd be tempted to get get an annual report that would disclose distribution data going back up to 5 years.  The ""View prospectus and reports"" would be the link on the site to note and use that to get to the PDF of the report to get the data that was filed with the SEC as that is likely what matters more here.  Don't forget that mutual fund distributions can be a mix of dividends, bond interest, short-term and long-term capital gains and thus aren't quite as simple as stock dividends to consider here." "I keep spreadsheets that verify each $ distribution versus the rate times number of shares owned. For mutual funds, I would use Yahoo's historical data, but sometimes shows up late (a few days, a week?) and it isn't always quite accurate enough. A while back I discovered that MSN had excellent data when using their market price chart with dividends ""turned on,"" HOWEVER very recently they have revamped their site and the trusty URLs I have previously used no longer work AND after considerable browsing, I can no longer find this level of detail anywhere on their site !=( Happily, the note above led me to the Google business site, and it looks like I am ""back in business""... THANKS!" If you want to go far upstream, you can get mutual fund NAV and dividend data from the Nasdaq Mutual Fund Quotation Service (MFQS). This isn't for end-users but rather is offered as a part of the regulatory framework. Not surprisingly, there is a fee for data access. From Nasdaq's MFQS specifications page: To promote market transparency, Nasdaq operates the Mutual Fund Quotation Service (MFQS). MFQS is designed to facilitate the collection and dissemination of daily price, dividends and capital distributions data for mutual funds, money market funds, unit investment trusts (UITs), annuities and structured products.
"First of all, setting some basics: What is a sound way to measure the risk of each investment in order to compare them with each other ? There is no single way that can be used across all asset classes / risks. Generally speaking, you want to perform both a quantitative and qualitative assessment of risks that you identify.  Quantitative risk assessment may involve historical data and/or parametric or non-parametric models. Using historical data is often simple but may be hard in cases where the amount of data you have on a given event is low (e.g. risk of bust by investing in a cryptocurrency). Parametric and non-parametric risk quantification models exist (e.g. Value at Risk (VaR), Expected Shortfall (ES), etc) and abound but a lot of them are more complicated than necessary for an individual's requirements. Qualitative risk assessment is ""simply"" assessing the likelihood and severity of risks by using intuition, expert judgment (where that applies), etc. One may consult with outside parties (e.g. lawyers, accountants, bankers, etc) where their advisory may help highlighting some risks or understanding them better. To ease comparing investment opportunities, you may want to perform a risk assessment on categories of risks (e.g. investing in the stock market vs bond market). To compare between those categories, one should look at the whole picture (quantitative and qualitative) with their risk appetite in mind. Of course, after taking those macro decisions, you would need to further assess risks on more micro decisions (e.g. Microsoft or Google ?). You would then most likely end up with better comparatives as you would be comparing items similar in nature. Should I always consider the worst case scenario ? Because when I do that, I always can lose everything. Generally speaking, you want to consider everything so that you can perform a risk assessment and decide on your risk mitigating strategy (see Q4). By assessing the likelihood and severity of risks you may find that even in cases where you are comparatively as worse-off (e.g. in case of complete bust), the likelihood may differ. For example, keeping gold in a personal stash at home vs your employer going bankrupt if you are working for a large firm. Do note that you want to compare risks (both likelihood and severity) after any risk mitigation strategy you may want to put in place (e.g. maybe putting your gold in a safety box in a secure bank would make the likelihood of losing your gold essentially null). Is there a way to estimate the probability of such events, better than intuition ? Estimating probability or likelihood is largely dependent on data on hand and your capacity to model events. For most practical purposes of an individual, modelling would be way off in terms of reward-benefits. You may therefore want to simply research on past events and assign them a 1-5 (1 being very low, 5 being very high) risk rating based on your assessment of the likelihood. For example, you may assign a 1 on your employer going bankrupt and a 2 or 3 on being burglarized. This is only slightly better than intuition but has the merit of being based on data (e.g. frequency of burglary in your neighborhood). Should I only consider more probable outcomes and have a plan for them if they occur? This depends largely on your risk appetite. The more risk averse you are, the more thorough you will want to be in identifying, tracking and mitigating risks. For the risks that you have identified as relevant, or of concern, you may opt to establish a risk mitigating strategy, which is conventionally one of accepting, sharing (by taking insurance, for example), avoiding and reducing. It may not be possible to share or reduce some risks, especially for individuals, and so often the response will be either to accept or avoid the given risks by opting in or out on an opportunity." You did something that you shouldn't have done; you bought a dividend.  Most mutual fund companies have educational materials on their sites that recommend against making new investments in mutual funds in the last two months of the year because most mutual funds distribute their earnings (dividends, capital gains etc) to their shareholders in December, and the share price of the funds goes down in the amount of the per share distribution. These distributions can be taken  in cash or can be re-invested in the fund; you most likely chose the latter  option (it is often the default choice if you ignored all this because you are a newbie). For those who choose to reinvest, the number of shares in the mutual fund increases, but since the price of the shares has decreased, the net amount remains the same. You own more shares at a lower price than the day before when the price was higher but the total value of your account is the same (ignoring normal market fluctuations in the price of the actual stocks held by the fund. Regardless of whether you take the distributions as cash or re-invest in the fund, that money is taxable income to you (unless the fund is owned inside a 401k or IRA or other tax-deferred investment program).  You bought 56 shares at a price of $17.857 per share (net cost $1000). The fund distributed its earnings shortly thereafter and gave you 71.333-56= 15.333 additional shares. The new share price is $14.11. So, the total value of your investment is $1012, but the amount that you have invested in the account is the original $1000 plus the amount of the distribution which is (roughly) $14.11 x 15.333 = $216.  Your total investment of $1216 is now worth $1012 only, and so you have actually lost money. Besides, you owe income tax on that $216 dividend that you received.  Do you see why the mutual fund companies recommend against making new investments late in the year?  If you had waited till after the mutual fund had made its distribution, you could have bought $1000/14.11 = 70.871 shares and wouldn't have owed tax on that distribution that you just bought by making the investment just before the distribution was made. See also my answer to this recent question about investing in mutual funds. "I don't know much about New Zealand, but here are just some general thoughts on things to consider. The big difference between buying a house and investing in stocks or the like is that it is fairly easy to invest in a diversified array of stocks (via a mutual fund), but if you buy a house, you are investing in a single piece of property, so everything depends on what happens with that specific property.  This in itself is a reason many people don't invest in real estate.  Shares of a given company or mutual fund are fungible: if you buy into a mutual fund, you know you're getting the same thing everyone else in the fund is getting.  But every piece of real estate is unique, so figuring out how much a property is worth is less of an exact science.  Also, buying real estate means you have to maintain it and manage it (or pay someone else to do so).  It's a lot more work to accurately assess the income potential of a property, and then maintain and manage the property over years, than it is to just buy some stocks and hold them.   Another difficulty is, if and when you do decide to sell the property, doing so again involves work.  With stocks you can pretty much sell them whenever you want (although you may take a loss).  With a house you have to find someone willing to buy it, which can take time. So a big factor to consider is the amount of effort you're prepared to put into your investment.  You mention that your parents could manage the property for you, but presumably you will still have to pay for maintenance and do some managing work yourself (at least discussing things with them and making decisions).  Also, if you own the property for a long time your parents will eventually become too old to take care of it, at which point you'll have to rethink the management aspect. So that's sort of the psychological side of things.  As for the financial, you don't mention selling the house at any point.  If you never sell it, the only gain you get from it is the rent it brings in.  So the main factor to consider when deciding whether to buy it as a rental is how much you can rent it for.  This is going to be largely determined by where it is located. So from the perspective of making an investment the big question --- which you don't address in the info you provided --- is: how much can you rent this house for, and how much will you be able to rent it for in the future?  There is no way to know this for sure, and the only way to get even a rough sense of it is to talk with someone who knows the local real estate market well (e.g., a broker, appraiser, or landlord).  If the property is in an ""up-and-coming"" area (i.e., more people are going to move there in the future), rents could skyrocket; if it's in a backwater, rents could remain stagnant indefinitely. Basically, if you're going to buy a piece of real estate as a long-term investment, you need to know a lot about that property in order to make any kind of comparison with another investment vehicle like a mutual fund.  If you already live in the area you may know some things already (like how much you might be able to rent it for).  Even so, though, you should try to get some advice from trustworthy people who know the local real estate situation." Google Finance and Yahoo Finance have been transitioning their API (data interface) over the last 3 months. They are currently unreliable. If you're just interested in historical price data, I would recommend either Quandl or Tiingo (I am not affiliated with either, but I use them as data sources). Both have the same historical data (open, close, high, low, dividends, etc.) on a daily closing for thousands of Ticker symbols. Each service requires you to register and get a unique token. For basic historical data, there is no charge. I've been using both for many months and the data quality has been excellent and API (at least for python) is very easy! If you have an inclination for python software development, you can read about the drama with Google and Yahoo finance at the pandas-datareader group at https://github.com/pydata/pandas-datareader. I use the following method. For each stock I hold long term, I have an individual table which records dates, purchases, sales, returns of cash, dividends, and way at the bottom, current value of the holding. Since I am not taking the income, and reinvesting across the portfolio, and XIRR won't take that into account, I build an additional column where I 'gross up' the future value up to today() of that dividend by the portfolio average yield at the date the dividend is received. The grossing up formula is divi*(1+portfolio average return%)^((today-dividend date-suitable delay to reinvest)/365.25) This is equivalent to a complex XMIRR computation but much simpler, and produces very accurate views of return.  The 'weighted combined' XIRR calculated across all holdings then agrees very nearly with the overall portfolio XIRR. I have done this for very along time.  TR1933 Yes, 1933 is my year of birth and still re investing divis! "I've just started using Personal Capital (www.personalcapital.com) after seeing the recommendation at several places.  I believe it gives you what you want to see, but I don't think you can back populate it with old information.   So if you log in and link accounts today, you'll have it going forward. I only put in my investment accounts as I use another tool to track my day-to-day spending.   I use Personal Capital to track my investment returns over time.  How did my portfolio compare to S&P 500, etc.   And here is a shot of the ""You Index"" which I think is close to what you are looking for:" Ya, that's a lot of data - especially considering your relative lack of experience and the likely fact that you have no idea what to do with what you're given.  How do you even know you need minute or tick-based bid-ask data?    You can get a lot more than OHLC/V/Split/Dividend.  You can get:  * Book Value; * Dividend information (Amount, yield, ex date, pay date); * EBITDA; * EPS (current AND estimates); * Price/sales ratio; * Price/book value; * Price/earnings ratio; * PEG ratio; * Short ratio; * Market cap.  Among other things, all for free. In the absence of a country designation where the mutual fund is registered, the question cannot be fully answered.  For US mutual funds, the N.A.V per share is calculated each day after the close of the stock exchanges and all purchase and redemption requests received that day are transacted at this share price. So, the price of the mutual fund shares for April 2016 is not enough information: you need to specify the date more accurately. Your calculation of what you get from the mutual fund is incorrect because in the US, declared mutual fund dividends are net of the expense ratio. If the declared dividend is US$ 0.0451 per share, you get a cash payout of US$ 0.0451 for each share that you own: the expense ratio has already been subtracted before the declared dividend is calculated.  The N.A.V. price of the mutual fund also falls by the amount of the per-share dividend (assuming that the price of all the fund assets (e.g. shares of stocks, bonds etc) does not change that day). Thus. if you have opted to re-invest your dividend in the same fund, your holding has the same value as before, but you own more shares of the mutual fund (which have a lower price per share). For exchange-traded funds, the rules are slightly different. In other jurisdictions, the rules might be different too.