Comparing forecasting ability of parametric and non-parametric methods: An applications with Canadian monthly interest rates

Applied Financial Economics

Volumn 13, Issue 3, 2003, Pages 169-176

  Saltoǧlu, Burak ^a  

^a MARMARA UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING METHOD; INTEREST RATE; METHODOLOGY;

CANADA;

EID: 0037359312     PISSN: 09603107     EISSN: None     Source Type: Journal    
DOI: 10.1080/09603100110111259     Document Type: Article

References (41)

1. Bergstrom, A. R. (1966) Non-recursive models as discrete approximations to systems of stochastic differential equations, Econometrica, 34, 173-82.
2. Bergstrom, A. R. (1983) Gaussian estimation of structural parameters in higher-order continuous time dynamic models, Econometrica, 51, 117-52.
3. Bergstrom, A. R. (1984) Continuous time stochastic models and issues of aggregation over time, in Handbook of Econometrics (Eds) Z. Grilliches and M. Intrillagator, Amsterdam: North Holland.
4. Bergstrom, A. R. (1990) Continuous Time Econometric Modelling, (Oxford University Press, Oxford).
5. Byers, S. L. and Nowman, K. B. (1998) Forecasting UK and US interest rates using continuous time term structure models, International Review of Financial Analysis, 7, 191-206.
6. Byers, S. L. and Nowman, K. B. (2001) Further evidence on the forecasting performance of two factor continuous time interest rate models in international and Asia Pacific financial markets. Managerial Finance, forthcoming.
7. Bollerslev, T. P. (1986) Generalized autoregressive conditional heteroscedasticity, Journal of Econometrics, 31, 309-28.
8. Bollerslev, T., Engle, R. and Nelson, D. (1994) ARCH models in Handbook of Econometrics (Eds) R. Engle and D. McFadden, Vol. IV, Elsevier, Amsterdam.
9. Brooks C. (1998) Predicting stock index volatility: can market volume help?, Journal of Forecasting, 17, 59-80.
10. Brennan, M. J. and Schwartz, E. S. (1979) A continuous time approach to the pricing of bonds, Journal of Banking and Finance, 3, 133-55.
11. Brennan, M. J. and Schwartz, E. S. (1982) An equilibrium model of bond pricing and a test of market efficiency, Journal of Financial and Quantitative Analysis, 17, 301-29
12. Campbell J. Y, Lo, A. W. and Mac-Kinlay C. (1997) The Econometrics of Financial Markets, Princeton University Press, New Jersey.
13. Chambers, M. J. (1991) Forecasting discrete stock and flow data generated by a second order continuous time system, Computers and Mathematical Applications, 22, 107-14.
14. Chambers, M. J. (1993) Forecasting with continuous-time and discrete-time series models: An empirical comparison, in Models, Methods and Application of Econometrics: Essays in Honour of A.R. Bergstrom (Ed.) P. C. B. Phillips, Cambridge, MA., Blackwell Publications.
15. Chambers, M. J. and Nowman B. (1997) Forecasting with the almost ideal demand system, Applied Economics, 29, 935-43.
16. Chan, K. C., Karolyi, G. A., Longstaff, F. A. and Sanders, A. B. (1992) An empirical comparison of alternative models of the short-term interest rate, Journal of Finance, 47. 1209-27.
17. Diebold, F. X. and Nason, J. (1990) Nonparametric exchange rate prediction, Journal of International Economics, 28, 315-32.
18. Diebold, F. X. and Mariano, R. S. (1995) Comparing predictive accuracy, Journal of Business and Economic Statistics, 13, 253-63.
19. Engle, R. F. (1982) Autoregressive conditional heteroscedasticity with estimates of the variance of UK inflation, Econometrica, 50, 987-1008.
20. Engle, R. F. and Kroner, K. F. (1995) Multivariate simultaneous generalized ARCH, Econometric Theory, 11, 122-50.
21. Garcia, R. and Gencay, R. (2000) Pricing and hedging derivative securities with neural networks and homogeneity hint, Journal of Econometrics, 94, 93-117.
22. Gencay, R. (1999) Linear, non-linear and essential foreign exchange rate prediction with simple technical rules, Journal of International Economics, 47, 91-107.
23. Hardle, W. (1990) Applied Non-parametric Regression, Cambridge University Press, Cambridge.
24. Hansen, L. and Scheinkman, J. (1995) Back to the future: generating moment implications for continuous time Markov processes, Econometrica, 63, 767-804.
25. Hutchinson, J., Lo, A. and Poggio, T. (1994) A non-parametric approach to pricing and hedging of derivative securities via learning networks, Journal of Finance, 49, 851-9.
26. Lippmann, R. P. (1987) An Introduction to computing with neural nets, IEEE ASSP Magazine, 4(2), 4-22.
27. Melino, A. (1994) Estimation of continuous time models in finance, in Advances in Econometrics: Sixth World Congress, (Ed.) C. Sims (Cambridge University Press, Cambridge).
28. Merton, R. C. (1973) Theory of rational option pricing, Bell Journal of Economics and Management Science, 4, 141-83.
29. Nelson, D. B. (1990) ARCH models as diffusion approximations, Journal of Econometrics, 4, 7-38.
30. Niizeki, M. K. (1998) Empirical tests of short-term interest rate models: a non-parametric approach, Applied Financial Economics, 8, 347-53.
31. Nowman, K. B. (1997) Gaussian estimation of single factor continuous time models of the term structure of interest rates, Journal of Finance, 52, 1695-706.
32. Nowman, K. B. (1998) Continuous time short term interest rate models, Applied Financial Economics, 8, 401-7.
33. Nowman, K. B. (2000) Gaussian estimation and forecasting of multi-factor term structure models with an application to Japan and the United Kingdom, Asia Pacific Financial Markets, 8, 23-34.
34. Pagan, A. and Ullah, A. (1999) Nonparametric Econometrics, Cambridge University Press, Cambridge.
35. Robinson, P. (1983) Nonparametric estimators for time series, Journal of Time Series Analysis, 4, 185-208.
36. Saltoǧlu, B. (1996) Selected topics in discrete and continuous time financial conometrics, PhD thesis, Department of Economics, University of Essex.
37. Stengos, T. (1996) Nonparametric forecasts of gold rate of return, in Nonlinear Dynamics and Economics (Eds.) W. Barnett, A. Kirman and M. Salmon, Cambridge University Press, Cambridge, pp. 393-406.
38. Yatchew, A. (1998) Nonparametric regression techniques in economics, Journal of Economic Literature, 98, 669-721.
39. Wasserman, P. D. (1989) Neural Computing: Theory and Practice, Van Nostrand Reinhold, New York.
40. West, K. D. and McCracken, M. W. (1998) Regression based tests of predictive ability, International Economic Review, 39, 817-40.
41. White, H. (1992) Artificial Neural Networks: Approximation and Learning Theory, Blackwell, Cambridge, MA.