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>On the contrary, these risk adjusted measures assume nothing more than a normally distributed random variable.

That is exactly what I am referring to. For example, from Wikipedia:

https://en.wikipedia.org/wiki/Sharpe_ratio

>However, financial assets are often not normally distributed, so that standard deviation does not capture all aspects of risk. Ponzi schemes, for example, will have a high empirical Sharpe ratio until they fail. Similarly, a fund that sells low-strike put options will have a high empirical Sharpe ratio until one of those puts is exercised, creating a large loss. In both cases, the empirical standard deviation before failure gives no real indication of the size of the risk being run.

>Do you have any sort of reasoning or is it just a gut feeling?

The reasoning is that their volatility is negligible over the long term due to political forces. Of course, it is also an assumption that could be wrong, but the mechanisms for government policy (democracy, aging demographics, and voter participation trends) seem to favor reducing purchasing power of currency rather than letting broad market equity prices stall or slide down.




> >However, financial assets are often not normally distributed, so that standard deviation does not capture all aspects of risk

Volatility not being a full measure of risk obviously does not imply that volatility should be ignored.

The former statement about returns not being normally distributed is a, trivially verifiable, factual mistake. Daily stock returns are normally distributed with a slight positive kurtosis. This remains true on any period over the last 30 years.

I am bot arguing either that the Sharpe is an all encompassing measure, some strategies have a returns distribution that is not well explained by Sharpe. I don't think it matters in this argument though.




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