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Reorganized and expanded, this updated book introduces the main ideas, techniques, and stochastic models of financial mathematics. It focuses on the foundations and key concepts of the modern methodology of quantitative financial analysis, explores the problems of managing insurance risks, and examines the multiple intrinsic connections between insurance risks and financial risks. With more examples and problems, this edition contains an expanded section on the foundations of probability and stochastic analysis and covers new topics, including financial markets with stochastic volatility, risk…mehr

Produktbeschreibung
Reorganized and expanded, this updated book introduces the main ideas, techniques, and stochastic models of financial mathematics. It focuses on the foundations and key concepts of the modern methodology of quantitative financial analysis, explores the problems of managing insurance risks, and examines the multiple intrinsic connections between insurance risks and financial risks. With more examples and problems, this edition contains an expanded section on the foundations of probability and stochastic analysis and covers new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance.
Autorenporträt
Alexander Melnikov is a professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Dr. Melnikov's research interests include mathematical finance and risk management, insurance and actuarial science, statistics and stochastic analysis, and stochastic differential equations and their applications.