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Difficulty: Medium
Category: statistical_analysis
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Topics: statistical-analysis, granger-causality, time-series, hypothesis-testing, numpy, scipy
The Granger causality test is a statistical hypothesis test for determining whether one time series is useful in forecasting another. In quantitative finance, it is widely used to assess the predictive power of a signal, such as an alternative dataset, on an asset's returns. This implementation identifies the optimal lag that maximizes the test's F-statistic across a range of possible lags. Task Implement the function solution(y: listfloat, x: listfloat, max_lag: int) to perform a Granger causa
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