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In terms of stock analysis, volatility.
Square the standard deviation and you will have the variance.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
Standard deviation = square root of variance.
Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.
In terms of stock analysis, volatility.
we calculate standard deviation to find the avg of the difference of all values from mean.,
A good standard deviation for a stock is typically around 15-20. This indicates moderate volatility in the stock's price movements.
To determine the standard deviation of a portfolio, you would need to calculate the weighted average of the individual asset standard deviations and their correlations. This involves multiplying the squared weight of each asset by its standard deviation, adding these values together, and then taking the square root of the result. This calculation helps measure the overall risk and volatility of the portfolio.
Square the standard deviation and you will have the variance.
The historical volatility of a stock is the variation of the returns over a period of time (say, over the last twelve months). The variation of the returns is usually taken as the standard deviation of the returns. You need a spreadsheet to calculate historical volatility (see the related link for an example)
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
The standard deviation or volatility (square root of the variance) of returns.
Standard deviation = square root of variance.
One the main advantage of using the coefficient of variation over the standard deviation to measure volatility is the fact that CV is normalized and can be used to directly compare different asset's volatility. The standard deviation must be used in the context of the mean of the data.
Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.
In the same way that you calculate mean and median that are greater than the standard deviation!