Using Stationary Bootstrap for Equity Strategy Testing

Summary

The document asks whether a proposed method is suitable for evaluating an equity trading strategy when only about ten years of historical returns are available. The researcher resamples the returns with a stationary bootstrap, evaluates candidate strategies on each resampled series, repeats this process around one hundred times, and selects the modal value of a test metric. The final step proposes a paired t-test to assess whether variations are statistically significant.

The post presents a question rather than a worked analysis: it supplies no return data, metric definition, test results, or replies evaluating the approach. It therefore introduces resampling and repeated evaluation as ideas for addressing limited data and data snooping, but does not establish that this particular workflow controls either problem. In particular, taking the mode across bootstrap results and applying a paired t-test to that modal value are not explained, so the statistical interpretation remains unclear. Readers should treat the procedure as an unvalidated proposal, not as evidence that a strategy is robust.

Key ideas

• The post proposes stationary bootstrap resampling to evaluate an equity strategy with limited historical returns.
• It suggests repeating strategy evaluation across resampled datasets and summarizing a test metric by its mode.
• The author proposes a paired t-test but gives no details on its design or interpretation.
• The document contains no empirical results or expert assessment of the proposed workflow.

Tags

# Strategy Testing


# Strategy Testing












Firstly I am a newbie so I will apologise in advance if this is in the wrong forum. My question concerns testing for an equity trading strategy and I would appreciate any comments as to whether my approach is sensible or an alternative methodology would be more appropriate.

(a) Since I have a limited amount of historical data, circa 10 years, for test purposes and to reduce data snooping I have selected to use a stationary bootstrap technique to resample the returns data.

(b) I then evaluate the various strategies based on the resampled data.

(c) Based on repeating steps (a) and (b) for say 100 iterations I then determine the modal value of the test metric.

(d) Thereafter I carry out a paired 'T' test on the modal value to identify whether any variation is significant.

I would very much appreciate guidance as to whether the above approach is sensible.

Thanks

Chris

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