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Is the information ratio reported in Pyfolio correct?

Hello all,

I am comparing the results of a backtest in the Quantopian IDE to the results of a pyfolio tear sheet, and am seeing a large discrepancy in the reported information ratios. The IR in the Q IDE is 0.95, while in the backtest it is 0.02. The returns, volatility, and max drawdown are all the same, while the Sharpe ratio in the Q IDE is 1.35 as compared to 0.95 in the pyfolio tear sheet. From what I've read on the forums the tear sheet is to be trusted, however the IR seems suspect since the algorithm outperforms the benchmark almost every year over the backtest period. Am I missing something, why the large discrepancy?

Regards,
Mark

3 responses

Hi Mark,

It's a bit hard to ascertain why pyfolio's IR is so low if it's returns supersede the benchmark on most days. Here is the implementation: https://github.com/quantopian/pyfolio/blob/master/pyfolio/timeseries.py#L365. If you don't want to share the backtest / tearsheet, you could compare that to a manual calculation I suppose and see why the IR has this specific value.

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Thanks Thomas,

I will have a look, is the calculation for information ratio different in the Q IDE? Is it based on a different timeframe monthly rather than daily returns?

Regards,
Mark

They're different which isn't the best state of affairs. In doubt, I'd trust the pyfolio metrics. We will have zipline use the pyfolio risk metrics for everything in the future.