A comprehensive look at causality’s theoretical and practical aspects in economics and finance.
Causal Modeling for Finance and Business presents causality’s theoretical and practical aspects in economics and finance. Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models.
The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it offers also a novel theoretical perspective on causal modeling. Causation is not a law of nature, but it is a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships.
The book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes.
The book’s objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.
Frank J. Fabozzi is Professor of Practice at Johns Hopkins Carey Business School. He is the author of Capital Markets, sixth edition; Entrepreneurial Finance and Accounting for High-Tech Companies; and Introduction to Fixed-Income Analysis and Portfolio Management and coauthor of Adaptive Finance; The Economics of FinTech; Foundations of Global Financial Markets and Institutions, fifth edition; and Simulation, Optimization, and Machine Learning for Finance, all published by the MIT Press.
Sergio Focardi is Professor at the University of Genoa, where he teaches risk management and financial engineering. He has taught at EDHEC Business School at Stony Brook University, Princeton University, and Pôle Universitaire Léonard-de-Vinci, la Defense near Paris. He is the author or coauthor of 24 books and more than 100 peer-reviewed papers.
A comprehensive look at causality’s theoretical and practical aspects in economics and finance.
Causal Modeling for Finance and Business presents causality’s theoretical and practical aspects in economics and finance. Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models.
The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it offers also a novel theoretical perspective on causal modeling. Causation is not a law of nature, but it is a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships.
The book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes.
The book’s objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.
Author
Frank J. Fabozzi is Professor of Practice at Johns Hopkins Carey Business School. He is the author of Capital Markets, sixth edition; Entrepreneurial Finance and Accounting for High-Tech Companies; and Introduction to Fixed-Income Analysis and Portfolio Management and coauthor of Adaptive Finance; The Economics of FinTech; Foundations of Global Financial Markets and Institutions, fifth edition; and Simulation, Optimization, and Machine Learning for Finance, all published by the MIT Press.
Sergio Focardi is Professor at the University of Genoa, where he teaches risk management and financial engineering. He has taught at EDHEC Business School at Stony Brook University, Princeton University, and Pôle Universitaire Léonard-de-Vinci, la Defense near Paris. He is the author or coauthor of 24 books and more than 100 peer-reviewed papers.
