What Hedge Funds Really Do: An Introduction to Portfolio Management

By Philip J. Romero and Tucker Balch

Overview

Published in 2014 by Business Expert Press, this concise text provides an accessible introduction to the quantitative strategies employed by hedge funds. Philip J. Romero (Professor at the University of Oregon's Lundquist College of Business) and Tucker Balch (Associate Professor at Georgia Tech and co-founder of Lucena Research) combine their expertise in economics and computational finance to explain the core building blocks of quantitative portfolio management.

Key Themes and Arguments

Demystifying Quantitative Strategies

The book's central premise is that while the specific details of each hedge fund's approach are closely guarded trade secrets, the core building blocks are well-established academic concepts. By understanding these building blocks, students and practitioners can comprehend the general approach of quantitative funds.

Portfolio Theory Foundations

The book covers Modern Portfolio Theory, the efficient frontier, the Capital Asset Pricing Model, and multi-factor models as the theoretical foundations upon which quantitative strategies are built. These concepts are explained with an emphasis on computational implementation rather than purely mathematical derivation.

Technical Indicators and Signals

The text covers the construction of trading signals from technical indicators, fundamental data, and alternative data sources. It explains how these signals are combined into portfolio optimization frameworks that balance expected returns against risk constraints.

Machine Learning Applications

A distinguishing feature is the coverage of machine learning approaches to portfolio management, reflecting Balch's expertise in computational finance. The book introduces concepts like supervised learning, reinforcement learning, and their application to financial prediction problems.

Dual Audience Design

The book explicitly targets two audiences: finance students seeking to understand quantitative methods, and computer science students seeking to apply their skills to financial applications. This dual orientation makes it unique among introductory finance texts.

Significance

This book fills a gap in the literature by providing a concise, accessible introduction to quantitative hedge fund strategies that avoids both the complexity of advanced academic texts and the superficiality of popular accounts.