500+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
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Difficulty: Easy
Category: statistical_analysis
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Topics: diebold_mariano, forecast_evaluation, hypothesis_testing, model_comparison, statistical_analysis
The Diebold-Mariano (DM) test is a standard statistical tool for comparing the predictive accuracy of two competing forecast models based on their out-of-sample errors. In quantitative finance, it is frequently used to determine if a new alpha signal or trading model provides a statistically significant improvement over an incumbent one. The test is particularly useful as it makes no assumptions about the underlying distribution of the forecast errors. Task Implement the function diebold_marian
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