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Feb 15, 2023 at 22:25 comment added shabbychef Thanks. If you're feeling particularly flushed, it exists in book form published by CRC Press: all the material of the SSC plus another whole text on the Markowitz portfolio and optimizing the Sharpe on portfolios, etc.
Feb 15, 2023 at 22:20 comment added oronimbus @shabbychef Nice one thanks. Will have a look tomorrow. Your short Sharpe course seems rather comprehensive :)
Feb 15, 2023 at 20:54 comment added shabbychef Some derivations of this also given in my Short Sharpe Course in section 4.1, generalizing to the case of e.g. autocorrelation, heteroskedasticity, and so on.
Feb 15, 2023 at 20:52 comment added shabbychef In addition to Mertens' work, Bao derives a more detailed asymptotic approximation in terms of higher order moments. It is largely based on Central Limit Theorem and Delta Method.
Jan 10, 2023 at 12:57 vote accept oronimbus
Jan 4, 2023 at 10:30 answer added oronimbus timeline score: 4
Dec 24, 2022 at 7:46 history edited oronimbus CC BY-SA 4.0
Typo, removed square
Dec 24, 2022 at 7:45 comment added oronimbus That’s right, the final equation shows the standard error of the SR being proportional to the skewness and kurtosis of returns, which I think is a pretty nice result.
Dec 23, 2022 at 21:00 history tweeted twitter.com/StackQuant/status/1606394228438966274
Dec 23, 2022 at 15:04 comment added Bob Jansen @SuavestArt I believe $\mu_n$ denotes the $n$th central moment as done here: en.wikipedia.org/wiki/Central_moment#Univariate_moments
Dec 23, 2022 at 14:15 comment added SuavestArt These subscripts on the mean don't make any sense to me as well.
Dec 23, 2022 at 10:07 history asked oronimbus CC BY-SA 4.0