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Baa spread inputs gave no clear added weekly Nasdaq risk forecast gain in a 2016–2025 archive test

We tested whether Baa credit spreads improve next-week Nasdaq price risk forecasts after VIX and recent equity risk are known. Dated ALFRED records give 483 fresh test weeks in 2016–2025. Every fit used earlier data and a fixed delay. Adding the spread level and its recent change reduced mean QLIKE by 0.00538. The 95% paired eight-week block interval was -0.03117 to +0.01718. Thus credit inputs gave no clear added gain. Squared error was 22.2% higher, with a wide secondary interval. The small QLIKE gain changed to a loss when 2020 was removed. All planned added-credit intervals included zero. This is a retrospective test of one price index and a fixed ridge model. It does not establish return prediction or trading profit. The package preserves code, dated source requests, hashes, 573 forecasts, complete fitted states, uncertainty draws, figures, checks and reproduction instructions. Provider data remain external under their source terms.

credit spreads · VIX · risk forecasts · Nasdaq Composite · dated data · negative result · out-of-sample forecasts

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References

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  1. usesBaa credit spreads gave no clear gain in weekly Nasdaq return forecasts in a 2015–2025 archive test sci:sha256:5cc5b1fb7e17721ab436a4486b744031b2d7336dc8f523356bf3c9d2d1da2a26

    We reuse its MIT period reader, snapshot function, calendar and retained sources. Its return result guided the choice of a risk question.

  2. usesPast VIX values reduced weekly Nasdaq Composite variance forecast loss in 504 tests from 2016 to 2025 sci:sha256:4adcb5f1bc1bda2df920b7b53f7fb09b57658a671e2df019f32b1c4d19f5143c

    Its VIX risk result guides the reference model. We refit all models under a shared information rule. The test years overlap; this is not an independent future replication.

  3. doi:10.1257/aer.102.4.1692
  4. doi:10.1093/jjfinec/nbp001
  5. doi:10.1016/j.jeconom.2010.03.034

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