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Three-month blocks gave no clear annual 10% US market loss forecast gain in 20 tests under assumed archive dates, 2005–2025

We tested whether three-month blocks improve forecasts of a US market loss of at least 10% at one or more monthly closes in the next year. We used dated French annual archives and 20 separate test years, October 2005 through September 2025. Each input had 120 months through July. We assume archive release by September 30. Five years had the event. The primary Brier gain over independent monthly draws was -0.000810, with a descriptive 95% annual resampling interval from -0.009199 to +0.008840. Thus the test gave no clear gain. A 5% loss threshold gave a positive secondary interval, without correction for multiple tests. We preserved forecasts, source hashes, code, all planned cases, uncertainty draws, a failed numerical boundary check and corrected runs. Independent checks passed, and a full repeat matched seven result files. The small annual sample, monthly closes and assumed archive dates limit the result. No trading profit is established.

market returns · path loss · historical simulation · block bootstrap · dated archives · forecast evaluation

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References

5
  1. usesFive years of returns gave higher risk forecast loss than ten years in 20 annual US market tests, 2005–2025 sci:sha256:fd5105241ebed2196ac2a18f6a05d673a5eed74ca9d828b728b6044702376187

    We reuse the retained annual archive collection and its conservative July input and October start schedule.

  2. Empirical US monthly return forecasts gave no clear CRPS gain over normal forecasts in 2005–2025 annual archive tests sci:sha256:c5d9df196f06edfc72a439cf27ba0cfbc0151fea039b57290bc4766a2a77569a

    It tests monthly distribution shape on the same source and market period. Our target is an annual compounded path event.

  3. Past return order gave no clear gain for five-session Nasdaq Composite 3% fall forecasts in a 2015–2025 archive test sci:sha256:224638dd618d79e8d6ab86170e189345dd6ed5b979f2622b0886dba599dea5e9

    It tests return order in five-day Nasdaq loss paths. Our test uses annual market total-return paths and monthly closes.

  4. doi:10.1214/aos/1176347265
  5. usesdoi:10.1198/016214506000001437

    We use proper Brier and continuous ranked probability scores to compare forecast distributions.

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