Issue #227

December 14, 2023

This weeks book is "Causal Factor Investing" by Marcos M. López de Prado, his most recent work in quantitative finance. López de Prado introduces a unique approach by emphasizing causality, a factor often overlooked in traditional quantitative models. The book provides a refreshing perspective on financial markets, challenging conventional wisdom and offering a comprehensive guide to understanding and implementing causal factor investing.

What sets this book apart is its practicality. López de Prado not only delves into the theoretical underpinnings of causal factor investing but also provides real-world examples and case studies. This hands-on approach ensures that readers can not only grasp the concepts but also apply them in their own investment strategies. The author's writing style is both engaging and approachable, striking a balance between academic rigor and practical applicability.

In a landscape where financial strategies are constantly evolving, "Causal Factor Investing" stands out as a timely and relevant resource. López de Prado's expertise shines through, making this book essential for both seasoned professionals and those new to quantitative finance. It's a must-read for anyone serious about staying ahead in the dynamic world of investment, offering a thought-provoking and informative guide that will shape the future of quantitative finance.

Causal Factor Investing

1. Research Papers in November 2023 [magazine.sebastianraschka.com]
2. The Coming Wave of Specialized AI [thesequence.substack.com]
3. A Very Big Small Leap Forward in Graph Theory [quantamagazine.org]
4. Pearl - A Production-ready Reinforcement Learning AI Agent Library [pearlagent.github.io]
5. Arrows of Time [quantamagazine.org]
6. Google Gemini [deepmind.google]
7. Mamba: Selective Space-Space Model [github.com/state-spaces]

• A synthesis of evidence for policy from behavioural science during COVID-19 (K. Ruggeri, F. Stock, S. A. Haslam, V. Capraro, P. Boggio, N. Ellemers, A. Cichocka, K. M. Douglas, D. G. Rand, S. van der Linden, M. Cikara, E. J. Finkel, J. N. Druckman et al)
• Quantum-computing approach uses single molecules as qubits for first time (D. Castelvecchi)
• Hyperedge prediction and the statistical mechanisms of higher-order and lower-order interactions in complex networks (M. Sales-Pardo, A. Mariné-Tena, R. Guimerà)
• Multiple gravity laws for human mobility within cities (O.-H. Kwon, I. Hong, W.-S. Jung, H.-H. Jo)
• Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices (T. Elmer)
• Sequence representation as an early step in the evolution of language (A. Jon-And, M. Jonsson, J. Lind, S. Ghirlanda, M. Enquist)
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces (A. Gu, T. Dao)
• Large Language Models on Graphs: A Comprehensive Survey (B. Jin, G. Liu, C. Han, M. Jiang, H. Ji, J. Han)

Lessons from building GitHub code search

December 14, 2023

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