publication . Part of book or chapter of book . Preprint . 2006

visualization tools for insurance risk processes

Krzysztof Burnecki; Rafal Weron;
Open Access
  • Published: 01 Jan 2006
  • Publisher: Springer Berlin Heidelberg
This chapter concerns risk processes, which may be the most suitable for computer visualization of all insurance objects. At the same time, risk processes are basic instruments for any non-life actuary – they are needed to calculate the amount of loss that an insurance company may incur. They also appear naturally in rating-triggered step-up bonds, where the interest rate is bound to random changes in company ratings, and catastrophe bonds, where the size of the coupon payment depends on the severity of catastrophic events.
Medical Subject Headings: health care economics and organizations
free text keywords: Risk process; collective risk model; simulation; mean excess function; limited expected value function; ruin probability plot; quantile line;, Expected shortfall, Business, Visualization, Actuary, Payment, media_common.quotation_subject, media_common, Interest rate, Actuarial science, Coupon, Bond, Catastrophe bond, jel:G22, jel:G32
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18 references, page 1 of 2

Burnecki, K., H¨ardle, W., and Weron, R. (2004). Simulation of risk processes, in J. Teugels, B. Sundt (eds.) Encyclopedia of Actuarial Science, Wiley, Chichester. [OpenAIRE]

Burnecki, K., Misiorek, A., and Weron, R. (2005). Loss Distributions, in P. Cizek, W. Ha¨rdle, R. Weron (eds.) Statistical Tools for Finance and Insurance, Springer, Berlin, 289-317.

Burnecki, K., Mi´sta, P., and Weron, A. (2005). Ruin Probabilities in Finite and Infinite Time, in P. Cizek, W. H¨ardle, R. Weron (eds.) Statistical Tools for Finance and Insurance, Springer, Berlin, 341-379. [OpenAIRE]

Burnecki, K., Nowicka-Zagrajek, J., and Wyloman´ska, A. (2005). Pure Risk Premiums under Deductibles, in P. Cizek, W. H¨ardle, R. Weron (eds.) Statistical Tools for Finance and Insurance, Springer, Berlin, 427-452. [OpenAIRE]

Cˇ iˇzek, P., H¨ardle, W., and Weron, R. (eds.) (2005). Statistical Tools for Finance and Insurance, Springer, Berlin.

Chernobai, A., Burnecki, K., Rachev, S.T., Tru¨ck, S., and Weron, R. (2006). Modelling catastrophe claims with left-truncated severity distributions, Computational Statistics, forthcoming. [OpenAIRE]

Daykin, C.D., Pentikainen, T., and Pesonen, M. (1994). Practical Risk Theory for Actuaries, Chapman, London.

Grandell, J. (1991). Aspects of Risk Theory, Springer, New York.

Furrer, H., Michna, Z., and Weron, A. (1997). Stable L´evy motion approximation in collective risk theory, Insurance: Mathematics and Economics 20: 97-114. [OpenAIRE]

Janicki, A. and Izydorczyk, A. (2001). Computer Methods in Stochastic Modeling, WNT, Warszawa (in Polish).

Janicki, A., Izydorczyk, A., and Gradalski, P. (2003). Computer Simulation of Stochastic Models with SDE-Solver Software Package, Lecture Notes in Computer Science 2657: 361-370.

Janicki, A. and Weron, A. (1994). Simulation and Chaotic Behavior of α-Stable Stochastic Processes, Marcel Dekker.

Kloeden, P.E. and Platen, E. (1995). Numerical Solution of Stochastic Differential Equations, Springer, Berlin.

Klugman, S.A., Panjer, H.H., and Willmot, G.E. (1998). Loss Models: From Data to Decisions, Wiley, New York.

Mi´sta, P. (2002). Computer methods of ruin probability approximation and its control via optimal reinsurance policies, Fundacja “Warta”, Warsaw (in Polish).

18 references, page 1 of 2
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