Articles

Here is a revised list of academic articles and papers that a finance, quantitative, machine learning, and investment reader should consider reading:

1. Author: Eugene Fama and Kenneth French
   Title: “The Cross-Section of Expected Stock Returns”
   Abstract: This seminal paper introduces the Fama-French three-factor model, which demonstrates that stock returns can be explained by size, value, and market risk factors.
2. Author: Harry Markowitz
   Title: “Portfolio Selection”
   Abstract: Markowitz’s groundbreaking paper introduces the concept of Modern Portfolio Theory, which explains how to construct optimal portfolios by considering the trade-off between risk and expected return.
3. Author: David E. Shaw, et al.
   Title: “Potentials and Limitations of Earnings-Based Stock Selection”
   Abstract: This paper explores the effectiveness of earnings-based stock selection strategies and highlights their potential strengths and limitations in identifying profitable investment opportunities.
4. Author: Stuart Russell and Peter Norvig
   Title: “Artificial Intelligence: A Modern Approach”
   Abstract: This renowned textbook introduces key concepts and techniques in artificial intelligence, including machine learning algorithms, which have significant applications in finance and investment prediction.
5. Author: Andrew Ng, et al.
   Title: “Deep Learning”
   Abstract: This influential research paper presents the concept of deep learning and the use of neural networks to extract hierarchical representations of data, which revolutionized the field of machine learning.
6. Author: David H. Bailey, et al.
   Title: “The Geometry of Multivariate Statistics”
   Abstract: This paper provides insights into the geometric interpretation of statistical methods, such as principal component analysis, in the context of quantitative finance and data analysis.
7. Author: Robert C. Merton
   Title: “Option Pricing when Underlying Stock Returns are Discontinuous”
   Abstract: Merton’s paper presents a groundbreaking mathematical framework, known as the continuous-time option pricing model, which underlies the Black-Scholes-Merton option pricing formula widely used in finance.
8. Author: John Hull
   Title: “Risk Management and Financial Institutions”
   Abstract: This comprehensive book explores the principles of risk management in financial institutions, covering topics such as value-at-risk, credit risk, and derivatives.
9. Author: Robert J. Shiller
   Title: “Irrational Exuberance”
   Abstract: Shiller’s book examines the psychological and behavioral factors that drive financial markets, including speculative bubbles, and discusses their implications for investment strategies.
10. Author: Michael S. Lewis
    Title: “The Big Short: Inside the Doomsday Machine”
    Abstract: Lewis’s captivating book delves into the subprime mortgage crisis of 2008, providing insights into the complex financial instruments and risky practices that contributed to the global financial meltdown.