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Difficulty: Easy
Category: statistical_analysis
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Topics: statistics, correlation, pandas, data_processing
Understanding the relationship between asset returns is fundamental for portfolio construction and risk management. While Pearson correlation measures linear dependence, Spearman rank correlation offers a robust alternative that assesses monotonic relationships and mitigates the impact of outliers. Comparing these two metrics allows analysts to detect non-linear dependencies and potential data anomalies. Task Implement a function solution(x, y) that computes the Pearson and Spearman correlation
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