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Annualizing Ex-Post Sharpe Ratio
Posted: August 27th, 2004, 11:37 am
by Penny
Hi,I guess that this is a question with a simple answer, although I'm having trouble finding it. I'm caluculating Ex-post Sharpe Ratios for stock returns. I would like to calculate monthly sharpe ratios and then annualize the result for better comparision. My monthly Sharpe is calculated on daily returns. My question is how do I annualize the ratio? Any help much appriciatedPenny
Annualizing Ex-Post Sharpe Ratio
Posted: August 27th, 2004, 8:55 pm
by jamiepiolin
I think (Monthly Sharpe)*12^.5 should work.
Annualizing Ex-Post Sharpe Ratio
Posted: August 29th, 2004, 4:51 pm
by Aaron
If you're using log returns and assume a constant risk-free rate of interest, jamiepiolin is correct. The average annual excess log return is 12 times the average monthly return; and the annual standard deviation of excess log returns (computed over any measurement interval monthly or shorter, centered on the risk-free rate) is 12^0.5 times the monthly value. Therefore, the annual ratio is 12/12^0.5 = 12^0.5 times the monthly.
Annualizing Ex-Post Sharpe Ratio
Posted: September 1st, 2004, 12:52 pm
by Dakota
Note: It sounds as though you are calculating your standard deviation using 1 month's worth of daily values? If this is the case then you are calculating a daily, not monthly standard deviation. The descriptor refers to the frequency of observations, not the time frame over which they were collected. If this is the case, then when you say that you wish to 'annualize' the standard deviation, do you really mean that you wish to calculate the standard deviation of annual returns?, or do you mean that you want the standard deviation for one year's worth of daily returns? The standard deviation for annual returns would theoretically be equal to the standard deviation of daily returns multiplied by the square root of 365 (the number of observations) (assuming that you are using log returns). The daily standard deviation for one year's worth of daily observations, however, would (theoretically) be the same as the daily standard deviation for one month's worth of observations, assuming your daily returns are i.i.d.If I have misunderstood, and you are calculating your standard deviation using monthly observations, then please disregard these thoughts.