Mathematical Risk Analysis: Dependence, Risk Bounds, Optimal Allocations and Portfolios - Softcover

Book 22 of 43: Springer Series in Operations Research and Financial Engineering

Rüschendorf, Ludger

 
9783642335914: Mathematical Risk Analysis: Dependence, Risk Bounds, Optimal Allocations and Portfolios

This specific ISBN edition is currently not available.

Synopsis

Preface.-Part I: Stochastic Dependence and Extremal Risk.-1 Copulas, Sklar's Theorem, and Distributional Transform.- 2 Fréchet Classes, Risk Bounds, and Duality Theory.- 3 Convex Order, Excess of Loss, and Comonotonicity.- 4 Bounds for the Distribution Function and Value at Risk of the Joint Portfolio.- 5 Restrictions on the Dependence Structure.- 6 Dependence Orderings of Risk Vectors and Portfolios.- Part II: Risk Measures and Worst Case Portfolios.- 7 Risk Measures for Real Risks.- 8 Risk Measures for Portfolio Vectors.- 9 Law Invariant Convex Risk Measures on L_d^p and Optimal Mass Transportation.- Part III: Optimal Risk Allocation.- 10 Optimal Allocations and Pareto Equilibrium.- 11 Characterization and Examples of Optimal Risk Allocations for Convex Risk Functionals.- 12 Optimal Contingent Claims and (Re)Insurance Contracts.- Part IV: Optimal Portfolios and Extreme Risks.- 13 Optimal Portfolio Diversification w.r.t. Extreme Risks.- 14 Ordering of Multivariate Risk Models with Respect to Extreme Portfolio Losses.- References.- List of Symbols.- Index. ​

"synopsis" may belong to another edition of this title.

About the Author

Ludger Rüschendorf, Professor of Mathematical Stochastics, studied Mathematics, Physics and Economics in Münster. Diploma thesis 1972 - PhD 1974 in Hamburg in Asymptotic Statistics - Habilitation thesis 1979 in Aachen in the area of stochastic ordering, masstransportation and Fréchet bounds - Professorships in Germany: 1981-1987 in Freiburg, 1987-1993 in Münster, 1993- in Freiburg.  He is elected member of the ISI, and author and co-author of several books and about 180 research papers.

Review

From the reviews:

“The book contains four parts: stochastic dependence and extremal risk, risk measures and worst case portfolios, optimal risk allocation, and optimal portfolios and extreme risk. ... the book will be definitely interesting to researchers and graduate students in the areas of insurance, financial mathematics, risk management, etc., as it gives a clear picture which research directions have been pursued and to what extent.” (Jonas Šiaulys, zbMATH, Vol. 1266, 2013)

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783642335891: Mathematical Risk Analysis: Dependence, Risk Bounds, Optimal Allocations and Portfolios (Springer Series in Operations Research and Financial Engineering)

Featured Edition

ISBN 10:  3642335896 ISBN 13:  9783642335891
Publisher: Springer, 2013
Hardcover