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A Non-Linear Stochastic Asset Model for Actuarial Use

Published online by Cambridge University Press:  10 June 2011

S.P. Whitten
Affiliation:
Warburg Dillon Read, 1 Finsbury Avenue, London, EC2M 2PP, U.K. Tel: +44(0)171-567-8000; Fax: +44(0)171-568-4800; E-mail: [email protected]
R.G. Thomas
Affiliation:
Varsity Actuarial Limited, The Radfall, Summer Lane, Tyler Hill, Canterbury, CT2 9NH, U.K. Tel: +44(0)1227-463-214; Fax: +44(0)1227-463-214; E-mail: [email protected]

Abstract

This paper reviews the stochastic asset model described in Wilkie (1995) and previous work on refining this model. The paper then considers the application on non-linear modelling to investment series, considering both ARCH techniques and threshold modelling. The paper suggests a threshold autoregressive (TAR) system as a useful progression from the Wilkie (1995) model. The authors are making available (on compact disk) a collection of spreadsheets, which they have used to simulate the stochastic asset models which are considered in this paper.

Type
Sessional meetings: papers and abstracts of discussions
Copyright
Copyright © Institute and Faculty of Actuaries 1999

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References

REFERENCES

Berndt, E., Hall, B., Hall, R. & Hausman, J. (1974). Estimation and inference in nonlinear structural models. Annals of Economic and Social Measurement, 3, 653665.Google Scholar
Bollerslev, T., Chou, R.Y. & Kroner, K.F. (1992). ARCH modeling in finance: a review of the theory and empirical evidence. Journal of Econometrics, 52, 559.CrossRefGoogle Scholar
Box, G.E.P. & Jenkins, G.M. (1976). Time series analysis forecasting and control. Holden-Day, San Francisco, CA.Google Scholar
Chan, K.S. & Tong, H. (1986). On estimating thresholds in autoregressive models. Journal of Time Series Analysis, 7, 179–174.CrossRefGoogle Scholar
Chatfield, C. (1995). Model uncertainty, data mining and statistical inference. Journal of the Royal Statistical Society, Series A, 158, 419466.CrossRefGoogle Scholar
Chen, R. (1993). Threshold variable selection in open-loop threshold autoregressive models. Journal of Time Series Analysis, 16, V, 461481.CrossRefGoogle Scholar
Clarkson, R.S. (1991). A non-linear stochastic model for inflation. Transactions of the 2nd AFIR International Colloquium, Brighton, 3, 233253.Google Scholar
Dyson, A.C.L. & Exley, C.J. (1995). Pension fund asset valuation and investment. B.A.J. 1, 471557.Google Scholar
Engle, R.F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50, 9871008.CrossRefGoogle Scholar
Finkelstein, G.S. (1998). Maturity guarantees revisited: allowing for extreme stochastic fluctuations using stable distributions. B.A.J. 3, 411482.Google Scholar
Geoghegan, T.J., Clarkson, R.S., Feldman, K.S., Green, S.J., Kitts, A., Lavecky, J.P., Ross, F.J.M., Smith, W.J. & Toutounchi, A. (1992). Report on the Wilkie stochastic investment model. J.I.A. 119, 173228.Google Scholar
Granger, C.W.J. & Teräsvirta, T. (1993). Modelling non-linear economic relationships. Oxford University Press, Oxford.CrossRefGoogle Scholar
Harris, G.R. (1997). Regime switching vector autoregressions: a Bayesian Markov chain Monte Carlo approach. Procedings of the 7th AFIR Colloquium, 421–450.Google Scholar
Huber, P.P. (1997). A review of Wilkie's stochastic asset model. B.A.J. 3, 181210.Google Scholar
Li, C.W. & Li, W.K. (1996). On a double-threshold autoregressive heteroscedastic time series model. Journal of Applied Econometrics, 11, 253274.3.0.CO;2-8>CrossRefGoogle Scholar
Pepper, G.T. (1994). Money, credit and asset prices. Macmillan, London.CrossRefGoogle Scholar
Petruccelli, J. & Davies, N. (1986). A portmanteau test for self-exciting threshold autoregressive type non-linearity in time series. Biometrica, 73, 687694.CrossRefGoogle Scholar
Priestley, M.B. (1988). Nonlinear and non-stationary time series analysis. Academic Press, London.Google Scholar
Rabemananjara, R. & Zakoian, J.M. (1993). Threshold ARCH models and asymmetries in volatility. Journal of Applied Econometrics, 8, 3149.CrossRefGoogle Scholar
Smith, A.D. (1996). How actuaries can use financial economics. B.A.J. 2, 10571193.Google Scholar
Tong, H. (1990). Non-linear time series: a dynamical system approach. Oxford University Press, Oxford.CrossRefGoogle Scholar
Tsay, R.S. (1989). Testing and modeling threshold autoregressive processes. Journal of the American Statistical Association, 84, 231240.CrossRefGoogle Scholar
Wilkie, A.D. (1984). Steps towards a comprehensive stochastic investment model. Occasional Actuarial Research Discussion Paper, The Institute of Actuaries, London, 36, 1231.Google Scholar
Wilkie, A.D. (1986). A stochastic investment model for actuarial use. T.F. A. 39, 341403.Google Scholar
Wilkie, A.D. (1995). More on a stochastic investment model for actuarial use. B.A.J. 1, 774964.Google Scholar