"Copulas for Risk Management" is a specialized book that focuses on the application of copulas in risk management practice. In today's world, the traditional correlation-based approach to modeling dependencies is no longer sufficient, especially when it comes to modeling extreme events. This book provides a comprehensive analysis of multivariate dependence and highlights various dependence structures. It presents an innovative approach that includes the specification of marginal distributions and the use of specific copula functions. The author, Chih-Hsueh Tseng, discusses the application of stable distributions and compares different copula families to estimate parameters and select models. Additionally, the book offers an overview of relevant academic literature, refers to advanced methods, and discusses the financial applications of copulas in risk management. It is a valuable resource for professionals and students interested in modern approaches to dependency modeling.