Joseph Simonian

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.

Quantitative Global Bond Portfolio Management offers a comprehensive discussion of quantitative modelling approaches to managing global bond and currency portfolios. Drawing on practitioner and academic research, as well as the extensive market experience of the authors, the book provides a timely overview of cutting-edge tools applied to the management of global bond portfolios, including in-depth discussions of factor models and optimization techniques. In addition to providing a solid theoretical foundation for global bond portfolio management, the authors focus on the practical implementation of yield curve and currency-driven approaches that can be successfully implemented in actual portfolios. As such, the book will be an indispensable resource to both new and seasoned investors looking to enhance their understanding of global bond markets and strategies.