How does Google Finance calculate the Institution Owned metric for a stock
"Institutional ownership has nearly lost all meaning. It used to mean mutual funds, investment banks, etc. Now, it means pension funds, who hold the rest of the equity assets directly, and insiders. Since the vast majority of investors in equity do not hold it directly, ""institutions"" are approaching 100% ownership on all major equities. Other sites still segment the data."
Returns reported by mutual funds to shareholders, google, etc. are computed after all the funds' costs, including Therefore the returns you see on google finance are the returns you would actually have gotten. The yield on Div Data is showing 20% ((3.77/Current Price)*100)) because that only accounts for last years dividend. If you look at the left column, the 52 week dividend yield is the same as google(1.6%). This is calculated taking an average of n number of years. The data is slightly off as one of those sites would have used an extra year. "I'm trying to understand how an ETF manager optimized it's own revenue.  Here's an example that I'm trying to figure out.  ETF firm has an agreement with GS for blocks of IBM. They have agreed on daily VWAP + 1% for execution price.  Further, there is a commission schedule for 5 mils with GS. Come month end, ETF firm has to do a monthly rebalance. As such must buy 100,000 shares at IBM which goes for about $100 The commission for the trade is 100,000 * 5 mils = $500 in commission for that trade. I assume all of this is covered in the expense ratio. Such that if VWAP for the day was 100, then each share got executed to the ETF at 101 (VWAP+ %1) + .0005 (5 mils per share) = for a resultant 101.0005 cost basis  The ETF then turns around and takes out (let's say) 1% as the expense ratio ($1.01005 per share)  I think everything so far is pretty straight forward. Let me know if I missed something to this point.  Now, this is what I'm trying to get my head around. ETF firm has a revenue sharing agreement as well as other ""relations"" with GS. One of which is 50% back on commissions as soft dollars. On top of that GS has a program where if you do a set amount of ""VWAP +"" trades you are eligible for their corporate well-being programs and other ""sponsorship"" of ETF's interests including  helping to pay for marketing, rent, computers, etc.  Does that happen? Do these disclosures exist somewhere?" "Their algorithm may be different (and proprietary), but how I would to it is to assume that daily changes in the stock are distributed normally (meaning the probability distribution is a ""bell curve"" - the green area in your chart).  I would then calculate the average and standard deviation (volatility) of historical returns to determine the center and width of the bell curve (calibrating it to expected returns and implied volaility based on option prices), then use standard formulas for lognormal distributions to calculate the probability of the price exceeding the strike price. So there are many assumptions involved, and in the end it's just a probability, so there's no way to know if it's right or wrong - either the stock will cross the strike or it won't." "Note that these used to be a single ""common"" share that has ""split"" (actually a ""special dividend"" but effectively a split). If you owned one share of Google before the split, you had one share giving you X worth of equity in the company and 1 vote. After the split you have two shares giving you the same X worth of equity and 1 vote. In other words, zero change. Buy or sell either depending on how much you value the vote and how much you think others will pay (or not) for that vote in the future.  As Google issues new shares, it'll likely issue more of the new non-voting shares meaning dilution of equity but not dilution of voting power. For most of us, our few votes count for nothing so evaluate this as you will.  Google's founders believe they can do a better job running the company long-term when there are fewer pressures from outside holders who may have only short-term interests in mind. If you disagree, or if you are only interested in the short-term, you probably shouldn't be an owner of Google. As always, evaluate the facts for yourself, your situation, and your beliefs." Previously, Google had a delayed update for their stock prices (15 minutes I believe). That change enabled users of Google Finance to see updates to stock prices in real-time. For each class A share (GOOGL) there's a class C share (GOOG), hence the missing half in your calculation. The almost comes from the slightly higher market price of the class A shares (due to them having voting powers) over class C (which have no voting powers). There's also class B share which is owned by the founders (Larry, Sergei, Eric and perhaps some to Stanford University and others) and differs from class A by the voting power. These are not publicly traded. On Monday, the 27th of June 2011, the XIV ETF underwent a 10:1 share split. The Yahoo Finance data correctly shows the historic price data adjusted for this split.  The Google Finance data does not make the adjustment to the historical data, so it looks like the prices on Google Finance prior to 27 June 2011 are being quoted at 10 times what they should be.   Coincidentally, the underlying VIX index saw a sudden surge on the Friday (24 June) and continued on the Monday (27 June), the date that the split took effect.  This would have magnified the bearish moves seen in the historic price data on the XIV ETF. Here is a link to an article detailing the confusion this particular share split caused amongst investors.  It appears that Google Finance was not the only one to bugger it up.  Some brokers failed to adjust their data causing a lots of confusion amongst clients with XIV holdings at the time. This is a recurring problem on Google Finance, where the historic price data often (though not always) fails to account for share splits. In my experiences most hedge funds won't have a benchmark in their mandate and are evaluated based upon absolute returns.  Their benchmarks are generally cash + x basis points.  So, no attribution and no IR.  No experience at all with CTA's though, so not sure how things are there. I don't see it in any of the exchange feeds I've gone through, including the SIPs. Not sure if there's something wrong with Nasdaq Last Sale (I don't have that feed) but it should be putting out the exact same data as ITCH. It's a dilution of the ownership; the public used to own x% of Facebook and now they own less than x% of the bigger Facebook that incorporates Whatsapp (assuming that Whatsapp was completely private before). Logically, the $15 billion is allocated proportionately between the existing stockholders (x% of it for the general public, y% for Mark Zuckerberg, etc).  However it doesn't really make sense to think of it that way unless Whatsapp is actually worthless. What's important are the proportions. Suppose that the newly issued shares correspond to 25% of the previous share capital. Then previously the general public owned x% out of 100%, and now they own x% out of 125%, i.e. (0.8x)% of the new share capital. Whether the actual value of those stocks has changed depends entirely on the actual value that Whatsapp adds to the old Facebook. As Dheer says, only time will tell on that one. Apart from the financial consequences, dilution is sometimes considered important because it can mean a change in influence: a significant shareholder would often be able to encourage the company to act in a certain way. With a lower percentage ownership, that influence is diminished. This is a note from my broker, CMC Markets, who use Morningstar: Morningstar calculate the P/E Ratio using a weighted average of the most recent earnings and the projected earnings for the next year. This may result in a different P/E Ratio to those based solely on past earnings as reported on some sites and other publications. They show the P/E as being 9.93. So obviously past earnings would usually be used but you would need to check with your source which numbers they are using. Also, as BHP's results just came out yesterday it may take a while for the most recent financial details to be updated. "To calculate a sector (or index) P/E ratio you need to sum the market caps of the constituent stocks and divide it by the sum of the total earnings of the constituent stocks (including stocks that have negative earnings).  There are no ""per share"" figures used in the calculation. Beware when you include an individual stock that there may be multiple issues associated with the company that are not in the index.... eg. Berkshire Hathaway BRK.B is in the S&P 500 but BRK.A is not.  In contrast, Google has both GOOGL and GOOG included in the S&P 500 index but not its unlisted Class B shares.  All such shares need to be included in the market cap and figuring out the different share class ratios can be tricky." "There are several such ""lists."" The one that is maintained by the company is called the shareholder registry. That is a list that the company has given to it by the brokerage firms. It is a start, but not a full list, because many individual shareholders hold their stock with say Merrill Lynch, in ""street name"" or anonymously. A more useful list is the one of institutional ownership maintained by the SEC. Basically, ""large"" holders (of more than 5 percent of the stock) have to register their holdings with the SEC. More to the point, large holders of stocks, the Vanguards, Fidelitys, etc. over a certain size, have to file ALL their holdings of stock with the SEC. These are the people you want to contact if you want to start a proxy fight. The most comprehensive list is held by the Depositary Trust Company. People try to get that list only in rare instances." There are lots of good answers on here already.  There are actually lots of answers for this question.  Lots.  I have years of experience on the exchange feed side and there are hundreds and thousands of variables.   All of these variables are funneled into systems owned by large financial institutions (I used to manage these - and only a few companies in the world do this so not hard to guess who I work for).  Their computers then make trades based on all of these variables and equations.  There are variables as whacky as how many times was a company mentioned in an aggregate news feed down to your basic company financials.  But if there is a way to measure a company (or to just guess) there is an equation for it plugged into a super computer at a big bank. Now there are two important factors on why you see this mad dash in the morning: Now most of the rest of the day is also automated trades but by the time you are an hour into market open the computers for the most part have fulfilled their calendar buys.  Everyone else's answer is right too.  There is futures contracts that change, global exchange info changes, options expiring, basic news, whatever but all of these are amplified by the calendar day changing.