Measuring Risk in Complex Stochastic Systems (Lecture Notes in Statistics, 147, Band 147) - Softcover

Softcover

ISBN 10: 038798996X ISBN 13: 9780387989969

Verlag: Springer, 2013

Inhaltsangabe

Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factors and the quantification of risk stemming from an interplay between many risk factors is a prerequisite for mastering the challenges of risk perception, analysis and management successfully. The increasing complexity of stochastic systems, especially in finance, have catalysed the use of advanced statistical methods for these tasks. The methodological approach to solving risk management tasks may, however, be undertaken from many different angles. A financial insti­ tution may focus on the risk created by the use of options and other derivatives in global financial processing, an auditor will try to evalu­ ate internal risk management models in detail, a mathematician may be interested in analysing the involved nonlinearities or concentrate on extreme and rare events of a complex stochastic system, whereas a statis­ tician may be interested in model and variable selection, practical im­ plementations and parsimonious modelling. An economist may think about the possible impact of risk management tools in the framework of efficient regulation of financial markets or efficient allocation of capital.

Über diesen Titel

Über die Autorinnen und Autoren

Wolfgang Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. the Centre for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

Prof. Dr. Gerhard Stahl ist Deputy Chief Risk Officer der Talanx AG und dort maßgeblich für die Umsetzung von Solvency II verantwortlich.

Von der hinteren Coverseite

This collection of articles by leading researchers will be of interest to people working in the area of mathematical finance.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 038798996X
• ISBN 13: 9780387989969
• Einband: Taschenbuch
• Anzahl der Seiten: 274
• Herausgeber: Franke J., Härdle Wolfgang, Stahl Gerhard
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland