Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-26T21:46:21.510Z Has data issue: false hasContentIssue false

Estimating the Value of the Wincat Coupons of the Winterthur Insurance Convertible Bond: A Study of the Model Risk1

Published online by Cambridge University Press:  29 August 2014

Uwe Schmock*
Affiliation:
Mathematical Finance, Department of Mathematics, ETH Zürich
*
Mathematical Finance, Department of Mathematics, ETH Zürich, CH-8092 Zürich, Switzerland[email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The three annual 2¼% interest coupons of the Winterthur Insurance convertible bond (face value Chf 4 700) will only be paid out if during their corresponding observation periods no major storm or hail storm on one single day damages at least 6 000 motor vehicles insured with Winterthur Insurance. Data for events, where storm or hail damaged more than 1 000 insured vehicles, are available for the last ten years. Using a constant-parameter model, the estimated discounted value of the three Wincat coupons together is Chf 263.29. A conservative evaluation, which accounts for the standard deviation of the estimate, gives a coupon value of Chf 238.25. However, fitting models which admit a trend or a change-point, leads to substantially higher knock-out probabilities of the coupons. The estimated discounted values of the coupons can drop below the above conservative value; a conservative evaluation as above leads to substantially lower values. Hence, already the model uncertainty is higher than the standard deviations of the used estimators. This shows the dominance of the model risk. Consistency, dispersion, robustness and sensitivity of the models are analysed by a simulation study.

Type
Workshop
Copyright
Copyright © International Actuarial Association 1999

Footnotes

1

1991 Mathematics Subject Classification. 62P05 (primary); 90A09 (secondary).

References

[1]Barbour, A.D., Holst, L., and Janson, S., Poisson Approximation, Oxford University Press, Oxford, 1992.Google Scholar
[2]Barndorff-Nielsen, , Information and Exponential Families in Statistical Theory, John Wiley & Sons, Chichester, 1978.Google Scholar
[3]Crédit Suisse First Boston, Fixed Income Research, Convertible bond Winterthur Insurance with Wincat coupons “Hail”, Zürich, January 1997.Google Scholar
[4]Crouhy, M., Galai, D., and Mark, R., Model risk, J. of Financial Engineering 7, no. 3/4 (1998)267288.Google Scholar
[5]Efron, B., and Tibshirani, R.J., An Introduction to the Bootstrap, Chapman & Hall, New York, 1993.Google Scholar
[6]Embrechts, P., Klüppelberg, C., and Mikosch, T., Modelling Extremal Events for Insurance and Finance, Springer-Verlag, Berlin, 1997.CrossRefGoogle Scholar
[7]Giesbrecht, F., and Kempthorne, O., Maximum likelihood estimation in the three- parameter lognormal distribution, J. Roy. Statist. Soc. Ser. B 38 (1976) 257264.Google Scholar
[8]Hosking, J.R.M., and Wallis, J.R., Parameter and quantile estimation for the generalized Pareto distribution, Technometries 29 (1987) 339349.Google Scholar
[9]Hinkley, D.V., Inference about the change-point in a sequence of random variables, Biometrika 57 (1970) 117.Google Scholar
[10]Lehmann, E.L., Testing Statistical Hypotheses, 2. ed., John Wiley & Sons, New York, 1986.Google Scholar
[11]Linhart, H., and Zucchini, W., Model Selection, John Wiley & Sons, New York, 1986.Google Scholar
[12]McCullagh, P., and Nelder, J.P., Generalized Linear Models, 2. ed., Chapman & Hall, London, 1989.Google Scholar
[13]Rootzén, H., and Tajvidi, N., Extreme value statistics and wind storm losses: A case study, Scand. Actuarial J. (1997) 7094.Google Scholar
[14]Schiesser, H.-H., et al., Klimatologie der Stürme und Sturmsysteme anhand von Radarund Schadendaten, Vdf, Hochschulverlag AG an der ETH, Zürich, 1997.Google Scholar
[15]Seber, G.A.F., and Wild, C.J., Nonlinear Regression, John Wiley & Sons, New York, 1989.Google Scholar
[16]Smith, R.L., Maximum likelihood estimation in a class of nonregular cases, Biometrika 72 (1985)6790.Google Scholar
[17]Venter, G.G., Premium calculation implications of reinsurance without arbitrage, ASTIN Bulletin 21, no. 2 (1991) 223230.Google Scholar
[18] Winterthur Insurance, Nachrangige Wandelanleihe 1997–2000 von Chf 399'500'000 mit 2¼% WinCAT-Coupons “Hagel”, Emissions- und Kotierungsprospekt.Google Scholar
[19] Winterthur Insurance, 2¼% convertible bond with WinCAT coupon “Hail”, Online information at URL http://www.winterthur.com/prod/wincat/index-e.html.Google Scholar
[20] Winterthur Insurance, The Winterthur Share, Online information at URL http://www.winterthur.com/prod/aktien/index-e.html.Google Scholar
[21] Winterthur Insurance, Hagel und Schäden an Fahrzeugen, Ein Kurzbericht über die Bedrohung in der Schweiz, internal report, January 1997.Google Scholar
[22]Worsley, K.J., Confidence regions and tests for a change-point in a sequence of exponential family random variables, Biometrika 73 (1986) 91104.CrossRefGoogle Scholar