Portfolio optimization is the process of selecting the best portfolio of assets (such as stocks, bonds, and other investments) from a set of possible portfolios, according to some objective. Typically, the objective is to maximize expected return for a given level of risk, or to minimize risk for a given level of expected return.
The docsal resources provided here aim to demystify the complex mathematical and financial concepts behind portfolio optimization, making them accessible to both beginners and experienced practitioners. Each article offers intuitive explanations, detailed mathematical formulations, practical examples, and academic references.
"Investments" by Bodie, Kane, and Marcus
"Modern Portfolio Theory and Investment Analysis" by Elton, Gruber, Brown, and Goetzmann
"Portfolio Selection" by Harry Markowitz
Journal of Finance
Journal of Portfolio Management
Financial Analysts Journal
Coursera: "Investment Management with Python and Machine Learning Specialization"
edX: "Portfolio Risk Management"
MIT OpenCourseWare: "Analytics of Finance"