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Statistical Tools for Finance and Insurance (2nd edition)


  • Pavel Cizek
  • Wolfgang Karl Härdle
  • Rafal Weron


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; Presents extensive examples in Matlab and/or R.

Suggested Citation

  • Pavel Cizek & Wolfgang Karl Härdle & Rafal Weron, 2011. "Statistical Tools for Finance and Insurance (2nd edition)," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook1101.
  • Handle: RePEc:wuu:hsbook:hsbook1101
    Note: Published by Springer-Verlag, Berlin

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    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Philipp Gschöpf & Wolfgang Karl Härdle & Andrija Mihoci, 2015. "TERES - Tail Event Risk Expectile based Shortfall," SFB 649 Discussion Papers SFB649DP2015-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. repec:jss:jstsof:v:078:i01 is not listed on IDEAS
    3. Kucharczyk, Daniel & Wyłomańska, Agnieszka & Zimroz, Radosław, 2017. "Structural break detection method based on the Adaptive Regression Splines technique," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 499-511.
    4. Omar El Euch & Mathieu Rosenbaum, 2016. "The characteristic function of rough Heston models," Papers 1609.02108,
    5. Ogwang, Tomson, 2013. "Is the wealth of the world’s billionaires Paretian?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 757-762.
    6. Lenkšas, A. & Mackevičius, V., 2015. "Weak approximation of Heston model by discrete random variables," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 113(C), pages 1-15.

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