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Introduction to Dynamic Financial Analysis

Author

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  • Kaufmann, Roger
  • Gadmer, Andreas
  • Klett, Ralf

Abstract

In the last few years we have witnessed growing interest in Dynamic Financial Analysis (DFA) in the nonlife insurance industry. DFA combines many economic and mathematical concepts and methods. It is almost impossible to identify and describe a unique DFA methodology. There are some DFA software products for nonlife companies available in the market, each of them relying on its own approach to DFA. Our goal is to give an introduction into this field by presenting a model framework comprising those components many DFA models have in common. By explicit reference to mathematical language we introduce an up-and-running model that can easily be implemented and adjusted to individual needs. An application of this model is presented as well.

Suggested Citation

  • Kaufmann, Roger & Gadmer, Andreas & Klett, Ralf, 2001. "Introduction to Dynamic Financial Analysis," ASTIN Bulletin, Cambridge University Press, vol. 31(1), pages 213-249, May.
    • Handle: RePEc:cup:astinb:v:31:y:2001:i:01:p:213-249_00
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    Citations

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    Cited by:

    1. Peter Blum & Michel Dacorogna, 2003. "Dynamic Financial Analysis - Understanding Risk and Value Creation in Insurance," Risk and Insurance 0306002, University Library of Munich, Germany.
    2. Cha, Eun Jeong & Ellingwood, Bruce R., 2012. "Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 27-35.
    3. David Bolder, 2003. "A Stochastic Simulation Framework for the Government of Canada's Debt Strategy," Staff Working Papers 03-10, Bank of Canada.
    4. Martin Eling & Thomas Parnitzke, 2007. "Dynamic Financial Analysis: Classification, Conception, and Implementation," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 10(1), pages 33-50, March.
    5. Ohlsson, Esbjörn & Lauzeningks, Jan, 2009. "The one-year non-life insurance risk," Insurance: Mathematics and Economics, Elsevier, vol. 45(2), pages 203-208, October.
    6. Hato Schmeiser, 2004. "New Risk‐Based Capital Standards in the European Union: A Proposal Based on Empirical Data," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 7(1), pages 41-52, March.
    7. Yu, Tzu-Yi & Tsai, Chenghsien & Huang, Hsiao-Tzu, 2010. "Applying simulation optimization to the asset allocation of a property-casualty insurer," European Journal of Operational Research, Elsevier, vol. 207(1), pages 499-507, November.
    8. Martin Eling & Denis Toplek, 2009. "Modeling and Management of Nonlinear Dependencies–Copulas in Dynamic Financial Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 651-681, September.
    9. Hahn, Lukas, 2017. "Multi-year non-life insurance risk of dependent lines of business in the multivariate additive loss reserving model," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 71-81.
    10. Yanwei Zhang & Vanja Dukic, 2013. "Predicting Multivariate Insurance Loss Payments Under the Bayesian Copula Framework," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(4), pages 891-919, December.
    11. Barbarin, Jerome & Devolder, Pierre, 2005. "Risk measure and fair valuation of an investment guarantee in life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 37(2), pages 297-323, October.

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