Empirical Finance: Theory and Application by Oliver Linton (.ePUB)+
File Size: 41.5 MB
Empirical Finance: Theory and Application by Oliver Linton, Shaoran Li, Shuyi Ge
Requirements: .ePUB, .PDF reader, 41.5 MB | True PDF, True EPUB
Overview: Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence. In an era defined by abundant data and computational power, this book emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R. Each chapter balances intuitive explanations with mathematical rigor, ensuring that readers not only understand key concepts but also learn how to test them with actual data. Structured in two parts, the book begins with a thorough review of essential quantitative tools—optimization, probability, and statistics—providing the foundation needed for empirical work. The second part applies these tools to core topics in finance, including asset pricing, portfolio choice, market efficiency, event studies, and volatility modeling. Real-world examples and case studies—such as testing the Efficient Markets Hypothesis, analyzing stock splits, and evaluating the equity premium—bring the material to life and illustrate how empirical methods can validate or challenge economic intuition.
Genre: Non-Fiction > General
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