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1. CONCEPT OF RISK VS REWARD Measuring Portfolio Risk One of the concepts used in risk and return calculations is standard deviation which measures the dispersion of actual returns around the expected return of an investment. Since standard deviation is the square root of the variance, this is another crucial concept to know. The variance is calculated by weighting each possible dispersion by its relative probability (take the difference between the actual return and the expected return, then square the number). The standard deviation of an investment's expected return is considered a basic measure of risk. If two potential investments had the same expected return, the one with the lower standard deviation would be considered to have less potential risk. Risk Measures There are three other risk measures used to predict volatility and return: Alpha - this measures stock price volatility based on the specific characteristics of the particular security. As with beta, the higher the number, the higher the risk. Sharpe ratio- this is a more complex measure that uses the standard deviation of a stock or portfolio to measure volatility. This calculation measures the incremental reward of assuming incremental risk. The larger the Sharpe ratio, the greater the potential return. The formula is: Sharpe Ratio = (total return minus the risk-free rate of return) divided by the standard deviation of the portfolio. Beta- this measures stock price volatility based solely on general market movements. Typically, the market as a whole is assigned a beta of 1.0. So, a stock or a portfolio with a beta higher than 1.0 is predicted to have a higher risk and, potentially, a higher return than the market. Conversely, if a stock (or fund) had a beta of .85, this would indicate that if the market increased by 10%, this stock (or fund) would likely return only 8.5%. However, if the market dropped 10%, this stock would likely drop only 8.5%.
2. CONCEPT OF RISK VS REWARD Measuring Portfolio Risk One of the concepts used in risk and return calculations is standard deviation which measures the dispersion of actual returns around the expected return of an investment. Since standard deviation is the square root of the variance, this is another crucial concept to know. The variance is calculated by weighting each possible dispersion by its relative probability (take the difference between the actual return and the expected return, then square the number). The standard deviation of an investment's expected return is considered a basic measure of risk. If two potential investments had the same expected return, the one with the lower standard deviation would be considered to have less potential risk. Risk Measures There are three other risk measures used to predict volatility and return: Alpha - this measures stock price volatility based on the specific characteristics of the particular security. As with beta, the higher the number, the higher the risk. Sharpe ratio- this is a more complex measure that uses the standard deviation of a stock or portfolio to measure volatility. This calculation measures the incremental reward of assuming incremental risk. The larger the Sharpe ratio, the greater the potential return. The formula is: Sharpe Ratio = (total return minus the risk-free rate of return) divided by the standard deviation of the portfolio. Beta- this measures stock price volatility based solely on general market movements. Typically, the market as a whole is assigned a beta of 1.0. So, a stock or a portfolio with a beta higher than 1.0 is predicted to have a higher risk and, potentially, a higher return than the market. Conversely, if a stock (or fund) had a beta of .85, this would indicate that if the market increased by 10%, this stock (or fund) would likely return only 8.5%. However, if the market dropped 10%, this stock would likely drop only 8.5%.
3. CONCEPT OF RISK VS REWARD Measuring Portfolio Risk One of the concepts used in risk and return calculations is standard deviation which measures the dispersion of actual returns around the expected return of an investment. Since standard deviation is the square root of the variance, this is another crucial concept to know. The variance is calculated by weighting each possible dispersion by its relative probability (take the difference between the actual return and the expected return, then square the number). The standard deviation of an investment's expected return is considered a basic measure of risk. If two potential investments had the same expected return, the one with the lower standard deviation would be considered to have less potential risk. Risk Measures There are three other risk measures used to predict volatility and return: Alpha - this measures stock price volatility based on the specific characteristics of the particular security. As with beta, the higher the number, the higher the risk. Sharpe ratio- this is a more complex measure that uses the standard deviation of a stock or portfolio to measure volatility. This calculation measures the incremental reward of assuming incremental risk. The larger the Sharpe ratio, the greater the potential return. The formula is: Sharpe Ratio = (total return minus the risk-free rate of return) divided by the standard deviation of the portfolio. Beta- this measures stock price volatility based solely on general market movements. Typically, the market as a whole is assigned a beta of 1.0. So, a stock or a portfolio with a beta higher than 1.0 is predicted to have a higher risk and, potentially, a higher return than the market. Conversely, if a stock (or fund) had a beta of .85, this would indicate that if the market increased by 10%, this stock (or fund) would likely return only 8.5%. However, if the market dropped 10%, this stock would likely drop only 8.5%.
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