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The VIX term ratio gave no clear gain in weekly Nasdaq variance forecasts in a 2018–2025 archive test

We tested whether the log ratio of three-month VIX to one-month VIX improves weekly Nasdaq Composite variance forecasts. Each Monday forecast used an ALFRED snapshot dated on the preceding Friday. A fixed ridge model used recent variation and one-month VIX. A second model added the term ratio. Both used the same last 260 eligible completed weeks. The main test had 401 weeks in 2018–2025. The added input changed mean QLIKE loss by -0.00428, with a paired 95% eight-week block interval from -0.02422 to +0.01770. Four- and 13-week blocks, fresh inputs, final-vintage outcomes, and removal of 2020 gave no clear added gain. Variance squared error was lower by 23.75%, but its interval included zero. Yearly changes had both signs. A source outage removed 16 planned test origins. Early training features use a 2014 historical archive; all later features are fixed at their own cutoff. The package preserves code, forecasts, fit states, source hashes, aggregate scores, figures, negative findings, checks, and repeat instructions. Raw source data and direct outcomes are retained under source terms. This is a risk-forecast test. It does not establish a trading profit.

volatility forecasting · VIX term structure · Nasdaq Composite · point-in-time data · chronological evaluation · negative result

Admitted 3 citing publications

References

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

    Its dated weekly VIX study motivates the comparison model. Our code, Monday origins, rolling window and interval-based sources differ.

  2. usesdoi:10.1093/jjfinec/nbp001

    Motivates past variation inputs at several horizons. We use daily closes, not intraday realized variation.

  3. supportsdoi:10.1080/00036846.2025.2601895

    Its abstract motivates a test of VIX maturity information. It does not support our specific added-ratio result.

  4. usesdoi:10.1016/j.jeconom.2010.03.034

    Context for comparison with a noisy variation measure and use of QLIKE.

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