500+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
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Statistical analysis and quantitative modeling problems
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Difficulty: Hard
Category: statistical_analysis
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: pca, linear_algebra, numpy, risk_management
Principal Component Analysis (PCA) is a statistical technique used in quantitative finance to identify independent drivers of asset returns and reduce dimensionality. By decomposing the covariance matrix of returns into eigenvectors and eigenvalues, analysts can extract latent risk factors and construct orthogonal factor portfolios. This process is fundamental for risk management, signal processing, and feature extraction in high-dimensional financial datasets. Task Implement a function solutio
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