An empirical evaluation of non-linear trading rules

Studies in Nonlinear Dynamics and Econometrics

Volumn 7, Issue 3, 2003, Pages

  Andrada Félix, Julián ^a   Garcia Artiles, Maria Dolores ^b   Fernadez Rodriguez, Fernando ^b   Sosvilla Rivero, Simon ^a  

^a UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

^b Fedea   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 14844351611     PISSN: 15583708     EISSN: 10811826     Source Type: Journal    
DOI: 10.2202/1558-3708.1160     Document Type: Article

References (41)

1. Akaike, H. (1974): "A new look at the statistical model identification", IEEE Transactions of Automatic Control, 19, 716-723.
2. Allen, F. and Karjalainen, R. (1999): "Using genetic algorithms to find technical trading rules", Journal of Financial Economics, 51, 245-271.
3. Bodie, Z., Kane, A. and Marcus, A. J. (2002): Essentials of Investments. New York: MacGraw-Hill, 5th edition.
4. Box, G. E. P. and G. M. Jenkins (1976): Time Series Analysis Forecasting and Control. San Francisco: Holden-Day.
5. Brock, W. Hsieh, D. A. and B. LeBaron (1991): Nonlinear Dynamics, Chaos and Instability. Cambridge, MA: MIT Press.
6. Brock, W., Dechert, W., Scheinkman, J. and B. LeBaron (1996): "A test for independence based on the correlation dimension", Econometric Reviews, 15, 197-235.
7. Brock, W., Lakonishok, J. and B. LeBaron (1992): "Simple technical rules and the stochastic properties of stock returns", Journal of Finance, 47, 1731-1764.
8. Casdagli, M. (1992a): "Nonlinear modeling of chaotic time series: Theory and applications", in Jong Hyun Kim and John Stringer, eds., Applied Chaos, New York: John Wiley and Sons.
9. Casdagli, M. (1992b): "Chaos and deterministic versus stochastic nonlinear modeling", Journal of the Royal Statistical Society, 54, 303-328.
10. Cleveland, W. S. and Devlin, S. J. (1988): "Locally weigthed regression: An approach to regression analysis by local fitting", Journal of the American Statistical Association 83, 596-610.
11. Clyde, W. C. and C. L. Osler (1997): "Charting: Chaos theory in disguise?", Journal of Future Markets, 17, 489-514.
12. Efrom B. (1983): "Estimating the error rate of a prediction rule improvement on cross-validation". Journal of American Statistical Association, 78, 316-331.
13. Fama, E. and K. French (1988): "Dividends yield and expected stock returns", Journal of Financial Economics, 22, 3-27.
14. Farmer, D. and J. Sidorowich (1987): "Predicting chaotic time series", Physical Review Letters, 59, 845-848.
15. Fernández-Rodríguez, F., González-Martel, C. and S. Sosvilla-Rivero (2000): "On the profitability of technical trading rules based on artificial neural networks: Evidence from the Madrid stock market", Economics Letters, 61, 89-94.
16. Fernández-Rodríguez, F., Sosvilla-Rivero, S. and M. D. García-Artiles (1997): "Using nearest neighbour predictors to forecast the Spanish stock market", Investigaciones Económicas, 21, 75-91.
17. Fernández-Rodríguez, F., Sosvilla-Rivero, S. and M. D. Garcia-Artiles (1999): "Dancing with bulls and bears: Nearest-neighbour forecasts for the Nikkei Index", Japan and the World Economy, 11, 395-413.
18. Fernández-Rodríguez, F., Sosvilla-Rivero, S. and J. Andrada-Félix (1999): "Exchange-rate forecasts with simultaneous nearest-neighbour methods: Evidence from the EMS", International Journal of Forecasting, 15, 383-392.
19. Fernández-Rodríguez, F., Sosvilla-Rivero, S. and J. Andrada-Félix (2003): "Technical Analysis in Foreign Exchange Markets: Evidence from the EMS", Applied Financial Economics, 13, 113-122.
20. Fernández-Rodríguez, F., Sosvilla-Rivero, S. and J. Andrada-Félix (2003b): "Nearest-neighbour predictions in foreign exchange markets", in Shu-Heng Chen and Paul Wang, eds., Computational Intelligence in Economics and Finance, Berlin: Physica Verlag.
21. Gençay, R. (1996) "Nonlinear prediction of security returns with moving average rules", Journal of Forecasting, 15, 165-174.
22. Gençay, R. (1998) "The predictability of securities returns with simple technical rules", Journal of Empirical Finance, 5, 347-359.
23. Härdie, W. and Linton, O. (1994): "Applied nonparametric methods", R. F. Engle, and D. Mac Fadden, eds., in Handbook of Econometrics, Amsterdam: Elsevier, Vol. 4.
24. Holland, J. H. (1975): Adaptation in Natural and Artificial Systems. Michigan: University of Michigan Press, Ann Arbor.
25. Hsieh, D. A. (1989): "Testing for nonlinear dependence in daily foreign exchange rates". Journal of Business, 62, 339-368.
26. Hsieh, D. A., (1991): "Chaos and nonlinear dynamics: Application to financial markets". Journal of Finance, 46, 1839-1877.
27. Jarque, C. M. and Bera, A. K. (1980): "Efficient test for normality, homocedasticity and serial independence of regression residuals", Economics Letters 6, 255-259.
28. Lo, A. W. and A. C. MacKinlay (1988): "Stock market prices do not follow random walks: Evidence from a simple specification test", Review of Financial Studies, 1, 41-66.
29. Lo, A. W. and A. C. MacKinlay (1997): "Maximizing predicibility in stock and bonds markets", Macroeconomic Dynamics, 1, 102-134.
30. Lo, A. W. and A. C. MacKinlay (1999): A Non-random Walk Down Wall Street. Princeton: Princeton University Press.
31. MacKinnon, J. G. (1991): "Critical values for cointegration tests", in Robert F. Engle and Clive W. J. Granger, eds., Long-run Economic Relationships: Readings in Cointegration. Oxford: Oxford University Press, 267-276.
32. Pesaran, M. H. and A. Timmerman (1995): "Predictability of stock returns: Robustness and economic significance", Journal of Finance, 50, 1201-1228.
33. Pesaran, M. H. and A. Timmerman (2000): "A recursive modelling approach to predicting UK stock returns", Economic Journal, 110, 159-191.
34. Plummer, T. (1989), Forecasting financial markets: The truth behind technical analysis. London: Kogan Page.
35. Pring, M. J. (1991): Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points. New York: Macgraw-Hill.
36. Ramsey, J. B. (1990): "Economic and financial data as nonlinear processes, in Gerald P. Dwyer and R. W. Hafer, eds., The Stock Market: Bubbles, Volatility, and Chaos. Boston, MA: Kluwer Academic, 81-134.
37. Satchell, S. and A. Timmermann (1995): "An assessment of the economic value of non-linear foreign exchange rate forecasts". Journal of Forecasting, 14, 477-497.
38. Scheinkman, J. and B. LeBaron (1989): "Nonlinear dynamics and stock returns". Journal of Business, 62, 311-337.
39. Sweeney, R. J. (1988): "Some new filter rule tests: Methods and results". Journal of Financial and Quantitative Analysis, 23, 285-300.
40. Taylor, M. P. and H. Allen (1992): "The use of technical analysis in the foreign exchange market". Journal of International Money and Finance, 11, 304-314.
41. Whitley, D. (1989): "The GENITOR algorithm and selection pressure: Why rank-based allocation of reproductive trial is best?", in D. J. Schaffer, ed., Proceedings of Third International Conference on Genetic Algorithms. California: Morgan Kaufman, 116-121