Bibliografie

Detailansicht

Statistical Tools for Finance and Insurance

Springer Verlag GmbH
ISBN/EAN: 9783642180613
Umbreit-Nr.: 1186908

Sprache: Englisch
Umfang: iv, 420 S., 8 farbige Illustr., 420 p. 8 illus. in
Format in cm:
Einband: kartoniertes Buch

Erschienen am 23.03.2011
Auflage: 2/2011
€ 106,99
(inklusive MwSt.)
Lieferbar innerhalb 1 - 2 Wochen
Beim Buchhandel bestellen
  • Zusatztext

    • Statistical Tools for Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Features of the significantly enlarged and revised second edition: - Offers insight into new methods and the applicability of the stochastic technology Provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations Covers topics such as expected shortfall for heavy tailed and mixture distributions* pricing of variance swaps* volatility smile calibration in FX markets pricing of catastrophe bonds and temperature derivatives* building loss models and ruin probability approximation insurance pricing with GLM* equity linked retirement plans*(new topics in the second edition marked with*) Presents extensive examples

  • Autorenportrait
    • Pavel Cízek is professor of econometrics and statistics at Tilburg University. He teaches various courses covering time-series, simulation-based, and semiparametric estimation methods. His research interests are methods of semiparametric and robust statistics and econometrics with applications primarily in microeconomics and quantitative finance.Wolfgang Karl Härdle is 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.Rafal Weron is professor of economics at Wroclaw University of Technology (WUT). His research focuses on developing risk management and forecasting tools for the energy industry and computational statistics as applied to finance and insurance. He is periodically engaged as a consultant to energy (Tauron Polska Energia, Vattenfall) and financial (BRE Bank, Bank Millennium) companies. He teaches graduate level courses on energy and financial markets at NTNU (Trondheim) and WUT.