Stock funds are one of those investment vehicles where you can invest for a long period of time, but it’s so easy to lose it. When you invest in a stock fund, you are basically betting that the company will do well and/or that the stock price will rise.
The only time you really know if a fund will do well is when the fund is doing well, so let’s take a look at the formula for variance and mean return and see if we can get a handle on exactly when they’re rising and falling.
The formula for mean return is 1 + (2*VAR^(1/2)^(1/2), where VAR is the standard deviation of the returns. For a stock fund, the formula for mean return is 1 + (2*(VAR^(1/2))^(1/2)). For a normal (i.e.
If you have a stock fund, the standard deviation of returns is the standard deviation of the returns for the fund. So if you have a fund with the standard deviation of returns of 1.5, you know its going to be at least one and a half times as risky as the market. If you have a fund with the standard deviation of returns of 2.5, you know it will be at least two and a half times as risky as the market.
Measuring risk is a tricky business, but I think it’s also important to remember that mean return is a statistic, so it will never give the most accurate account of risk. The risk of a given return for a fund is calculated by adding up all possible returns, taking the mean of those returns, and dividing the sum of those by the standard deviation of all the returns. So if you have a fund with the standard deviation of returns of 2.
This is how a standard deviation is calculated, but there are other ways that you can calculate a standard deviation. One way is by taking the square root of the number of returns, but that would be a bit of an awkward way to calculate a standard deviation in a spreadsheet.
Your average return is the sum of all the returns in a particular month, and the amount of the return is the average of the returns in that month. So if you have a return of 5, that means you have a total return of 2 million. It’s not like you have zero returns.
Okay, so you have two months in a row with a total return of 2 million. That means your standard deviation of returns is 2 million, or 0.5. So if you have a stock with a stock price of $10, you have a standard deviation of 1, or 5. So that means that your stock is worth $10.
The stock market is a pretty volatile place. But you can find some really good ideas here. The average value of a stock is the mean value of all the stocks whose value is equal to the price. If there are three stocks with the same prices, but with the same mean values, then their mean value is the average. So if there are 10 stocks with the same prices, but with different mean values, then each of those stocks has a different mean value.
You can use some fancy math to get the average of the mean values of all the stocks, or you can use the mean values of each stock as the average. If you do the latter, then you’ll get a mean return of 5, and a standard deviation of 0.5. Now, if you just use the mean values as the average, then you’ll get a mean return of 4.5, and a standard deviation of 1.5.