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The Need for Theory in Actuarial Economic Models

Published online by Cambridge University Press:  10 June 2011

P.P. Huber and
R.J. Verrall
P.P. Huber
Affiliation:
Swiss Re Life & Health Limited, Tower 42, Old Broad Street, London EC2N 1HQ, U.K.
R.J. Verrall
Affiliation:
Department of Actuarial Science and Statistics, The City University, Northampton Square, London, EC1V 0HB, U.K.
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Abstract

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This paper addresses the fundamental issues in the construction and use of actuarial economic models, with specific reference to those described in the UK literature. Two approaches are considered: an empirical approach and a theoretical approach using financial economics. Although empirical testing is essential, the difficulties associated with it should not be underestimated. A theoretical framework can be used to limit the impact of these difficulties. However, economic modelling is further complicated by the lack of a reliable and comprehensive theoretical framework. This suggests that economic models are always likely to be inaccurate and consequently actuarial judgement is likely to be indispensable.

Keywords

Economic MethodologyFinancial EconomicsJump-Equilibrium ModelWilkie's Model

Information

Type
Sessional meetings: papers and abstracts of discussions
Information
British Actuarial Journal , Volume 5 , Issue 2 , 01 June 1999, pp. 377 - 395
Copyright
Copyright © Institute and Faculty of Actuaries 1999

References

REFERENCES

Bhattacharya, S. & Constantinides, G.M., eds. (1989). Theory of valuation: frontiers of modern financial theory. Rowman and Littlefield, Savage, MD.Google Scholar
Black, F. (1986). Noise. The Journal of Finance, 41, 529–543.CrossRefGoogle Scholar
Blaug, M. (1992). The methodology of economics, or, how economists explain. Second Edition. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Box, G.E.P. & Jenkins, G.M. (1970). Time series analysis forecasting and control. Holden-Day, San Francisco, CA.Google Scholar
Boylan, T.A. & O'GORMAN, P.F. (1995). Beyond rhetoric and realism in economics: towards a reformulation of economic methodology. Routledge, London.CrossRefGoogle Scholar
Bunn, D. & Wright, G. (1991). Interaction of judgemental and statistical forecasting methods: issues & analysis. Management Science, 37, 501–518.CrossRefGoogle Scholar
Caldwell, B.J. (1994). Beyond positivism: economic methodology in the twentieth century. Revised Edition. Routledge, London.Google Scholar
Campbell, J.Y. & Shiller, R.J. (1987). Cointegration and tests of present value models. Journal of Political Economy, 95, 1062–1088.CrossRefGoogle Scholar
Chatfield, C. (1995). Model uncertainty, data mining and statistical inference. J.R.S.S. Series A, 158, 419–466.CrossRefGoogle Scholar
Clarkson, R.S. & Plymen, J. (1988). Improving the performance of equity portfolios. J.I.A. 115, 631–691.Google Scholar
Constantinides, G.M. (1989). Theory of valuation: overview and recent developments. In Bhattacharya, S. & Constantinides, G.M., eds., Theory of valuation: frontiers of modern financial theory. Rowman & Littlefield, Savage, MD.Google Scholar
Constantinides, G.M. (1990). Habit formation: a resolution of the equity premium puzzle. Journal of Political Economy, 98, 519–543.CrossRefGoogle Scholar
Darnell, A.C. & Evans, J.L. (1990). The limits of econometrics. Edward Elgar, Aldershot.Google Scholar
Daykin, C.D. & Hey, G.B. (1990). Managing uncertainty in a general insurance company. J.I.A. 117, 173–277.Google Scholar
Daykin, C.D., Pentikäinen, T. & Pesonen, M. (1994). Practical risk theory for actuaries. Chapman and Hall, London.Google Scholar
Dimson, E. ed. (1988). Stock market anomalies. Cambridge University Press, Cambridge.Google Scholar
Feyerabend, P. (1988). Against method. Revised Edition. Verso, London.Google Scholar
Ford, A., Benjamin, S., Gillespie, R.G., Hager, D.P., Loades, D.H., Rowe, B.N., Ryan, J.P., Smith, P., & Wilkie, A.D. (1980). Report of the Maturity Guarantees Working Party. J.I.A. 107, 103–212.Google Scholar
Friedman, M. (1953). The methodology of positive economics. In Essays in positive economics. The University of Chicago Press, Chicago, IL.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, 173–228.Google Scholar
Gerrard, R. & Haberman, S. (1996). Stability of pension systems when gains/losses are amortized and rates of return are autoregressive. Insurance: Mathematics and Economics, 18, 59–71.Google Scholar
Giere, R.N. (1988). Explaining science: a cognitive approach. University of Chicago Press, Chicago, IL.CrossRefGoogle Scholar
Gilbert, C.L. (1986). Professor Hendry's economic methodology. Oxford Bulletin of Economics and Statistics, 48, 283–307.CrossRefGoogle Scholar
Reprinted in Granger, C.W.J., ed., (1990). Modelling economic series. Oxford University Press, Oxford.Google Scholar
Hafer, R.W. & Sheenan, R.G. (1989). The sensitivity of VAR forecasts to alternative lag structures. International Journal of Forecasting, 5, 399–408.CrossRefGoogle Scholar
Hacking, I. (1983). Representing and intervening. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Hall, S. (1995). Macroeconomics and a bit more reality. Economic Journal, 105, 974–988.CrossRefGoogle Scholar
Hausman, D. (1992). The inexact and separate science of economics. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Hendry, D.F. (1995). Dynamic econometrics. Oxford University Press, Oxford.CrossRefGoogle Scholar
Huang, C.-F. & Litzenberger, R.H. (1988). Foundations for financial economics. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar
Huber, P.P. (1996). A study of the fundamentals of actuarial economic models. Unpublished PhD thesis. Department of Actuarial Science and Statistics, The City University, London.Google Scholar
Huber, P.P. (1997). A review of Wilkie's stochastic asset model. B.A.J. 3, 181–210.Google Scholar
Huber, P.P. (1998). A note on the jump-equilibrium model. B.A.J. 4, 615–636.Google Scholar
Huizinga, J. & Mishkin, F.S. (1984). Inflation and real interest rates on assets with different risk characteristics. Journal of Finance, 39, 699–714.CrossRefGoogle Scholar
Hutchison, T.W. (1938). The significance and basic postulates of economic theory. Reprinted 1965. Augustus M. Kelly, New York, NY.Google Scholar
Institute of Actuaries (1998). Manual of actuarial practice. Update Number 11. Institute of Actuaries, London, and Faculty of Actuaries, Edinburgh.Google Scholar
Kahneman, D., Slovic, P. & Tversky, A. eds. (1982). Judgment under uncertainty: heuristics and biases. Cambridge University Press, New York, NY.CrossRefGoogle Scholar
Kitts, A. (1990). Comments on a model of retail price inflation. J.I.A. 117, 407–412.Google Scholar
Lakatos, I. (1978). The methodology of scientific research programs: philosophical papers. Volume 1. Edited by Worrall, J. & Currie, G.Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Lawson, T. (1994). A realist theory for economics. In Backhouse, R.E., ed., New directions in economic methodology. Routledge, London.Google Scholar
Leamer, E.E. (1983). Let's take the con out of econometrics. American Economic Review, 73, 31–43. Reprinted in Granger C.W.J., ed., 1990, Modelling economic series. Oxford University Press, Oxford.Google Scholar
Leroy, S.F. (1989). Efficient capital markets and martingales. Journal of Economic Literature, 27, 1583–1621.Google Scholar
Leroy, S.F. & Porter, R.D. (1981). The present-value relation: tests based on implied variance bounds. Econometrica, 49, 555–574.CrossRefGoogle Scholar
Ludvik, P.M. (1993). The Wilkie model revisited. Proceedings of the 3rd AFIR International Colloquium, 2, 717–724.Google Scholar
Mccloskey, D.N. (1986). The rhetoric of economics. Harvester Wheatsheaf, Brighton.Google Scholar
Mankiw, N.G., Romer, D. & Shapiro, M.D. (1985). An unbiased reexamination of stock market volatility. Journal of Finance, 40, 677–689.CrossRefGoogle Scholar
Marsh, T.A. & Merton, R.C. (1986). Dividend volatility and variance bounds tests for the rationality of stock market prices. American Economic Review, 76, 483–498.Google Scholar
Mehra, R. & Prescott, E.C. (1985). The equity premium: a puzzle. Journal of Monetary Economics, 15, 145–161.CrossRefGoogle Scholar
Morgan, M.S. (1990). The history of econometric ideas. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Nelson, C.R. (1972). The predictive performance of the FRB-MIT-PENN model of the U.S. economy. American Economic Review, 62, 902–917.Google Scholar
Pagan, A.R. (1987). Three econometric methodologies: a critical appraisal. Journal of Economic Surveys, 1, 3–24. Reprinted in Granger C.W.J., ed. (1990). Modelling economic series. Oxford University Press, Oxford.CrossRefGoogle Scholar
Pemberton, J.M. (1998). The methodology of actuarial science. B.A.J. 5, 115–195.Google Scholar
Pepper, G. (1994). Money, credit and asset prices. Macmillan, London.CrossRefGoogle Scholar
Popper, K.R. (1959). The logic of scientific discovery. Reprinted 1992. Routledge, New York, NY.Google Scholar
Redington, F.M. (1983). Prescience & nescience. In A ramble through the actuarial countryside: the collected papers, essays and speeches of Frank Mitchell Redington, edited by Chamberlin, G. (1986). Staple Inn Institute of Actuaries Students' Society, London.Google Scholar
Roeker, E.B. (1991). Prediction error and its estimation for subset-selected models. Technometrics, 33, 459–468.CrossRefGoogle Scholar
Rosenberg, A. (1992). Economics — mathematical politics or science of diminishing returns? University of Chicago Press, Chicago, IL.Google Scholar
Ross, S.A. (1989). Intertemporal asset pricing. In Bhattacharya, S. & Constantinides, G.M., eds., Theory of valuation: frontiers of modern financial theory. Rowman & Littlefield, Savage, MD.Google Scholar
Shiller, R.J. (1981). Do stock prices move too much to be justified by subsequent changes in dividends? American Economic Review, 71, 421–436.Google Scholar
Sims, C.A. (1980). Macroeconomics and reality. Econometrica, 48, 1–48.CrossRefGoogle Scholar
Singleton, K.J. (1990). Specification and estimation of intertemporal asset pricing models. In Friedman, B.M. & Hahn, F.H., eds., Handbook of monetary economics. Volume 1. North-Holland, Amsterdam.Google Scholar
Smith, A.D. (1996). How actuaries can use financial economics. B.A.J. 2, 1057–1193.Google Scholar
Steerneman, T. & Rorijs, G. (1986). Pitfalls for forecasters. In Dijkstra, T.K., ed., On model uncertainty and its statistical implications. Workshop proceedings. Springer-Verlag, Berlin.Google Scholar
Stiglitz, J.E. (1989). Mutual funds, capital structure, and economic efficiency. In Bhattacharya, S. & Constantinides, G.M., eds.. Theory of valuation: frontiers of modern financial theory. Rowman & Littlefield, Savage, MD.Google Scholar
Weigend, A.S. & Gershenfeld, N.A. eds. (1994). Time series prediction: forecasting the future and understanding the past. Sante Fe Institute Studies in the Sciences of Complexity, Proceedings Volume XV, Addison-Wesley, Reading, MA.Google Scholar
Wilkie, A.D. (1986). A stochastic investment model for actuarial use. T.F.A. 39, 341–403.Google Scholar
Wilkie, A.D. (1995). More on a stochastic asset model for actuarial use. B.A.J. 1, 777–964.Google Scholar
Wilkie, A.D., Tilley, J.A., Arthur, T.G., & Clarkson, R.S. (1993). This house believes that the contribution of actuaries to investment could be enhanced by the work of financial economists: a debate. J.I.A. 120, 393–414.Google Scholar
Wright, G. & Ayton, P. eds. (1987). Judgmental forecasting. John Wiley and Sons, Chichester.Google Scholar