Showing posts with label CFA. Show all posts
Showing posts with label CFA. Show all posts

2/08/2025

Beyond the 60/40 Rule: How Merton’s Theory Optimizes Asset Allocation

A brilliant article by The Economist explores probabilities, risk management, and investment strategies for your hard-earned savings. In a simple, insightful, and compelling way, it revisits a half-century-old investment theory by Robert C. Merton, based on his paper "Lifetime Portfolio Selection Under Uncertainty: The Continuous-Time Case." Merton’s model challenges the traditional 60/40 portfolio rule, instead advocating for an optimal asset allocation based on an investor’s individual risk aversion. Using the Constant Relative Risk Aversion (CRRA) utility function and your risk aversion, his framework determines the ideal split between high-risk assets (stocks) and safe assets (bonds) to maximize returns. In essence, Merton suggests that the percentage allocated to risky assets should be equal to their excess expected return over the risk-free alternative, divided by both personal risk aversion and the square of the risky asset’s volatility. This approach leads to a more dynamic asset allocation, adjusting as these variables change. Take a few minutes to digest this—I'll need more than a couple myself. While the theory offers a sophisticated and theoretically sound approach, applying it in practice is not straightforward. It requires precise estimations of key variables and may involve positions that some investors are unwilling or unable to take (such as short-selling). Additionally, one must be aware of and willing to accept the underlying assumptions and trade-offs. Interestingly, studies suggest that this investment strategy has stood the test of time, potentially delivering a significant premium over the conventional 60/40 approach. I must admit that, despite holding an MSc in Finance, I had never come across this theory before. It has certainly piqued my interest, and I plan to explore it further to see if it can be applied to my portfolio management. Hope you enjoy the article as much as I did! (text revised by a LLM) How much happiness does money buy? https://www.economist.com/christmas-specials/2024/12/19/how-much-happiness-does-money-buy from The Economist

- Pedro

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1/11/2025

How Machine Learning Is Revolutionizing Economic Thinking

A Sendhil Mullainathan delivered a fantastic keynote on Economics in the Age of Algorithms, a talk lasting approximately one hour (at normal speed). In it, he compellingly argues that algorithms (machine learning, AI, etc.) are, at their core, economics. Among the many fascinating topics he covered, I particularly enjoyed how he framed the difference between Estimation and Prediction. Estimation represents the traditional approach to tackling problems, while Prediction is the newer approach enabled by supervised learning (ML). In essence, estimation focuses on optimizing the estimated Beta, while prediction aims to optimize the estimated Y. Sophisticated algorithms that optimize Y (the prediction) are remarkably valuable for uncovering new and strikingly original hypotheses. However, economists (humans) play a crucial role in designing recommendations for payoffs and loss functions, ensuring that ML outputs are meaningful and actionable. Did this triggered your interest? Sit back, relax, and enjoy an hour of insights from one of the great economic minds! (text revised by a LLM) https://videosolutions.mediasite.com/Mediasite/Play/cb9d64c0274d4aae98b61dd6779791b31d?playfrom=970000

- Pedro

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9/16/2018

Review: CFA Program Curriculum 2017 Level II, Volumes 1 - 6

CFA Program Curriculum 2017 Level II, Volumes 1 - 6 CFA Program Curriculum 2017 Level II, Volumes 1 - 6 by CFA Institute
My rating: 4 of 5 stars

Excellent curriculum books on the subjects/topics under study

Ethical & Professional Standards,
Quantitative Methods
Economics
Financial Reporting and Analysis
Corporate Finance
Equity
Fixed Income Derivatives
Alternative Investments
Portfolio Management

View all my reviews