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Difficulty: Medium
Category: statistical_analysis
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Topics: forecast_evaluation, nested_models, clark_west, hypothesis_testing, statistical_analysis
Comparing a predictive model against a simpler, nested benchmark is a common task in quantitative finance. The standard Diebold-Mariano test is inappropriate for this, but the Clark-West (CW) test adjusts for estimation errors in the larger model. This provides a statistically sound method for determining if a new signal adds genuine out-of-sample predictive power. Task Implement the function clark_west_test(actual: list, forecast_null: list, forecast_alt: list) -> float to compute the Clark-We
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