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Intermarket Trading Strategies

by Markos Katsanos (2008)

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

Intermarket Trading Strategies

Executive Summary

Markos Katsanos provides a quantitative, data-driven approach to intermarket analysis, examining how correlations between global indices, commodities, currencies, and interest rates can be exploited in systematic trading strategies. The book combines statistical methods with trading system design, testing multiple approaches across different markets and comparing conventional technical systems with neural network models.

Core Thesis

Financial markets are interconnected in measurable, exploitable ways. By understanding and quantifying intermarket correlations and developing systematic strategies that incorporate these relationships, traders can build more robust and profitable trading systems than those based on single-market technical analysis alone.

Chapter-by-Chapter Summary

  • Part I (Chapters 1-9): Intermarket analysis foundations covering correlation, regression, international index relationships, S&P 500 drivers, European indices, gold market analysis, intraday correlations, and intermarket indicator development
  • Part II (Chapters 10-16): Trading system design and testing, including gold trading systems comparison, S&P 500 ETF and e-mini systems, DAX futures, neural network vs. conventional systems, stock trading applications, and relative strength asset allocation

Key Concepts

  • Intermarket Correlations: Measurable relationships between different asset classes and markets
  • Correlation Dynamics: How intermarket relationships change over time and across regimes
  • Neural Networks: Machine learning approaches to capturing nonlinear intermarket relationships
  • Asset Allocation: Using relative strength to rotate among asset classes
  • System Robustness: Testing across multiple markets and time periods for reliability

Practical Applications

  • Building intermarket indicators that incorporate cross-market information
  • Designing trading systems that use intermarket data for signal generation
  • Comparing and evaluating different system approaches across markets
  • Portfolio allocation using relative strength across asset classes

Conclusion

Intermarket Trading Strategies provides a rigorous, quantitative framework for exploiting the interconnections between global financial markets in systematic trading strategies.