A good standard deviation for a stock is typically around 15-20. This indicates moderate volatility in the stock's price movements.
To calculate the standard deviation of a portfolio in Excel, you can use the STDEV.P function. This function calculates the standard deviation based on the entire population of data points in your portfolio. Simply input the range of values representing the returns of your portfolio into the function to get the standard deviation.
Generally, the standard deviation (represented by sigma, an O with a line at the top) would be used to measure variability. The standard deviation represents the average distance of data from the mean. Another measure is variance, which is the standard deviation squared. Lastly, you might use the interquartile range, which is often the range of the middle 50% of the data.
Standard deviation would be used in statistics.
The Standard and Poor's Stock Guide provides information on various publicly traded companies, including their financial performance, stock prices, earnings, dividends, and other key financial data.
if you bought 200 shares of standard oil stock when they were first issued and had the certificates is they stock worth anything today?
It depends on the standard deviation and risk of the new stock.
The standard deviation and beta measure different aspects of a stock's returns. Standard deviation quantifies the total volatility or risk of a stock's price movements, while beta measures the stock's sensitivity to market movements. It is possible for the standard deviation to be higher than beta, especially for stocks that have high volatility relative to the market but do not correlate strongly with market movements. Conversely, stocks with a low beta may have a high standard deviation if they experience large price swings independent of market trends.
In terms of stock analysis, volatility.
The standard deviation is the standard deviation! Its calculation requires no assumption.
The standard deviation of the population. the standard deviation of the population.
The standard deviation is 0.
Information is not sufficient to find mean deviation and standard deviation.
Standard deviation is the square root of the variance.
The standard deviation in a standard normal distribution is 1.
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
The standard deviation is a measure of the spread of data.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.