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Algorithmic and High-Frequency Trading

by Alvaro Cartea, Sebastian Jaimungal, and Jose Penalva (2015)

Quick summary -- an in-depth PhD-level extended summary (10-30 pages) for this book is coming soon.

Algorithmic and High-Frequency Trading

Executive Summary

This Cambridge University Press textbook by Alvaro Cartea (UCL), Sebastian Jaimungal (University of Toronto), and Jose Penalva (Universidad Carlos III) is the first comprehensive academic treatment combining sophisticated mathematical modeling, empirical facts, and financial economics for algorithmic and high-frequency trading. It develops models for executing large orders, market making, targeting VWAP and other schedules, pairs trading, and dark pool execution.

Core Thesis

Effective algorithmic trading requires understanding three interconnected domains: how electronic exchanges function, the information available to market participants, and the mathematical models that optimize execution. The book provides rigorous frameworks grounded in market microstructure theory for designing, implementing, and evaluating trading algorithms.

Structure

Part I: Microstructure and Empirical Facts

  • Electronic markets and limit order books
  • Market microstructure theory (Grossman-Miller market making, adverse selection)
  • Empirical evidence on prices, returns, and market behavior

Part II: Algorithmic Trading Models

  • Optimal execution of large orders
  • Market making strategies
  • VWAP and other schedule-based algorithms
  • Pairs and portfolio trading

Part III: High-Frequency Trading

  • Ultra-high-frequency data analysis
  • Latency and speed advantages
  • Dark pool execution models

Key Concepts

  1. Limit Order Book Dynamics: How electronic markets aggregate supply and demand
  2. Adverse Selection: Trading against better-informed counterparties
  3. Market Impact Models: How large orders move prices
  4. Optimal Execution: Minimizing transaction costs when executing large positions
  5. VWAP Algorithms: Targeting volume-weighted average price benchmarks

Critical Assessment

This is a rigorous academic text requiring strong mathematical background (stochastic calculus, optimal control theory, probability theory). It is not suitable for retail traders or beginners. For quantitative researchers, algo developers, and graduate students, it is the definitive reference on the mathematical foundations of algorithmic trading.

Conclusion

"Algorithmic and High-Frequency Trading" is the gold standard academic text for understanding the mathematical models underlying modern electronic trading.