This lecture features a detailed guest lecture by Stefan Andreev on principal component analysis (PCA) and its critical applications in quantitative finance, especially in modeling the U.S. bond market. The lecture explains PCA’s mathematical foundations, practical challenges, and how it helps identify key factors driving yield curve dynamics, enabling portfolio construction and risk management in highly correlated financial markets.