Causal Modeling for Finance and Business (häftad, eng)

A comprehensive look at causality’s theoretical and practical aspects in economics and finance.

In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systemsTopics 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 scenariosHowever, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but 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.

With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systemsWhile 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 modelsBy 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.

Format	Häftad
Omfång	320 sidor
Språk	Engelska
Förlag	MIT Press Ltd
Utgivningsdatum	2026-08-04
ISBN	9780262054270