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Computational Global Macro : Game Theory, Machine Learning, and Causal Inference - Joseph Simonian

Computational Global Macro

Game Theory, Machine Learning, and Causal Inference

By: Joseph Simonian

eBook | 27 December 2024

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Computational Global Macro offers investors a new paradigm for the analysis of geopolitical risk. By drawing on game theory, machine learning, and causal inference, the book provides investors with a novel framework for analyzing the political and economic interactions between global actors. In doing so, it presents a counterpoint to the often informal and speculative approach to geopolitical analysis that is prevalent in the research produced by investment firms. The book will thus serve as a valuable reference for investment professionals, students, and academics seeking to apply sophisticated quantitative tools to the development of their macro views.

Contents:

  • Preface
  • About the Author
  • Theories of Human Rationality and International Relations
  • Conflict
  • Cooperation
  • Games with Complex Interaction
  • Causal Inference in Models of Strategic Interaction
  • Portfolio Construction
  • Index

Readership: Students, researchers and investment professionals who are interested in applying sophisticated quantitative tools to their analysis of geopolitical and macro themes.

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