Tail ratio as the best IS/OOS correlator ?
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- This topic has 9 replies, 2 voices, and was last updated 5 years ago by
Nicolas.
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06/02/2020 at 5:08 PM #134254
Hi Guys,
“…tail-ratio (i.e. the ratio between the 95th and 5th percentile of the returns distribution) showed a stronger significant correlation with OOS Sharpe ratio than IS Sharpe ratio did (Pearson R² = 0.025; p < 0.0001)…”
https://joi.pm-research.com/content/25/3/69
IE tail ratio seems to be one or the best indicator to correlate IS and OOS of our Algo
PRT doesn’t give the tail ratio for now. Does someone of you have a PRT Code to calculate it “simply” in a backtest ?
Thanks a lot
06/02/2020 at 5:21 PM #134257So if I understand correctly, you mean by dividing the 95th percentile by the 5th one of the returns distribution you get a significant ratio to predict a good OOS? But if the strategy is over-optimized in IS, what is the purpose?
06/02/2020 at 5:41 PM #13426106/02/2020 at 6:37 PM #134277I love the conclusion (Based on 888 algorithms) :
“…While the results described above are relevant by themselves, overall, predictability of OOS performance was low (R² < 0.25) suggesting that it is simply not possible to forecast profitability of a trading strategy based on its backtest data…”
06/03/2020 at 8:31 AM #134332The conclusion could also have been written with: despite all the analytical data that we can study, nobody will ever be able to predict the future, not even math!
Calculate easily: no, but could be possible now with $array.
06/03/2020 at 10:58 AM #13436306/03/2020 at 11:19 AM #13436806/03/2020 at 1:04 PM #134391Yes, that involved nested loops for sure.
Simple description found on the web, in order to get it clear in mind:
- Collect all the data samples.
- Sort the data set by value from highest to lowest and discard the highest 5% of the sorted samples.
- The next highest sample is the 95th percentile value for the data set.
06/03/2020 at 1:32 PM #13440106/03/2020 at 4:23 PM #134427 -
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