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Название: Network Models in Finance: Expanding the Tools for Portfolio and Risk Management
Автор: Gueorgui S. Konstantinov, Frank J. Fabozzi
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: epub (true)
Размер: 26.5 MB
Expansive overview of theory and practical implementation of networks in investment management. Guided by graph theory, Network Models in Finance: Expanding the Tools for Portfolio and Risk Management provides a comprehensive overview of networks in investment management, delivering strong knowledge of various types of networks, important characteristics, estimation, and their implementation in portfolio and risk management. With insights into the complexities of financial markets with respect to how individual entities interact within the financial system, this book enables readers to construct diversified portfolios by understanding the link between price/return movements of different asset classes and factors, perform better risk management through understanding systematic, systemic risk and counterparty risk, and monitor changes in the financial system that indicate a potential financial crisis. In this book, we showcase the broad and deep knowledge of network theory and its applications. Covering a wide range of applications relevant to both practitioners and academics, we guide the reader by first developing a robust theoretical framework, and then providing practical illustrations and codes in the programming language R for actual portfolios comprising traditional and alternative asset classes, factors, and other economic variables like payments and transaction data.
Автор: Gueorgui S. Konstantinov, Frank J. Fabozzi
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: epub (true)
Размер: 26.5 MB
Expansive overview of theory and practical implementation of networks in investment management. Guided by graph theory, Network Models in Finance: Expanding the Tools for Portfolio and Risk Management provides a comprehensive overview of networks in investment management, delivering strong knowledge of various types of networks, important characteristics, estimation, and their implementation in portfolio and risk management. With insights into the complexities of financial markets with respect to how individual entities interact within the financial system, this book enables readers to construct diversified portfolios by understanding the link between price/return movements of different asset classes and factors, perform better risk management through understanding systematic, systemic risk and counterparty risk, and monitor changes in the financial system that indicate a potential financial crisis. In this book, we showcase the broad and deep knowledge of network theory and its applications. Covering a wide range of applications relevant to both practitioners and academics, we guide the reader by first developing a robust theoretical framework, and then providing practical illustrations and codes in the programming language R for actual portfolios comprising traditional and alternative asset classes, factors, and other economic variables like payments and transaction data.