Some observations on Sharpe and Sortino ratios.
When the Sharpe ratios was originally suggested as a feature the idea of having Sortino also came up.
I at the time had an opinion that at least for the purposes of sorting/ranking different strategies (here sims and ports) the two indicators should not differ a lot.
My assumption was based on the thinking was - ok, Sortino is trying to “not penalize” a strategy where the volatility comes from upward moves, that’s good. But if the volatility comes from upward moves this should ultimately bring up the average return. That is already reflected in the numerator of the Sharpe ratio. So to me Sharpe should already give better rating to a system where an eventually higher volatility comes “more” from upwards moves.
Now after we have Sharpe and Sortino calculated over a good bunch of sims and ports I decided to prove my theory with some statistics.
If my assumption is right the Sortino vs. Sharpe dependency should be, if not purely linear, at least monotonic. Monotonic in math terms should mean if we have a set of pair values the ordering of the set by either value (in the pair) should be one and the same. If we graph the value pairs set we should see an only increasing (monotonically increasing) or only decreasing (monotonically decreasing) steps/slopes between the plotted pairs.
I decided to visually analyze the dependency by putting about 40 Sortino-Sharpe value pairs from randomly selected P123 sims, with a testing period greater than 1600 days on a scatter diagram. (See attached). To me Sharpe, Sortino or any other performance indicators (alpha, etc.) should be compared between strategies only of they are run over the same or close calendar period. General market behavior definitely has an impact on these.
Well the dependency is not perfectly monotonic as one can see. Slight difference in the ordering is seen in a number of cases.
What is interesting to me though the dependency is very close to a linear one. If we draw a linear approximation/regression line and get its parameters we can see that with a very small error (R2 = 0.98) we can calculate Sortino off Sharpe using the linear expression 1.68 x Sharpe + 0.19.
At least to me, it still makes sense to continue using the Shape ratio predominantly. In the general case a strategy with higher Sharpe will have a higher Sortino.
I guess it would be nice if one finds the time to study whether the cases where a strategy ranks higher with the Sortino ratio is really a better strategy by looking at the distribution of the drawdowns in the performance graph etc.
Vlad