參考文獻 |
[1] Allen, F. and R. Karjalainen (1999), Using generic algorithms to find technical trading rules, Journal of Financial Economics 51, 245-271.
[2] Beaver, W. H. (1968), The indormation content of annual earnings announcements, Journal of Accounting Research, supplement, 6, 67-92.
[3] Binder, J. (1998), The event study methodology since 1969, Review of Quantitative Finance and Accounting, 11, 111-137.
[4] Boehmer, E., J. Musumeci, and A.B. Poulsen (1991), Event-study methodology
under conditions of event-induced variance, Journal of Financial Economics, 30,
253-272.
[5] Bollerslev, T., (1986), Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, 307-327.
[6] Bollerslev, T., R.Y. Chou, and K.F. Kroner (1992), ARCH modeling on finance: a review of the theory and empirical evidence, Journal of Econometrics, 52, 5-59.
[7] Campbell, J.Y., A.W. Lo, and A.C. MacKinlay (1997), The econometrics of financial markets, Princeton University Press.
[8] Chang, K. and C. Osler (1994), Evaluating chart-based technical analysis: the headand-shoulders pattern in foreign exchange markets, Working Paper, Federal Reserve Bank of New York.
[9] Chen, S.-H. and H. He (2003), Searching financial patterns with self- organizing maps, in S.-H. Chen and P. P. Wang (Eds.), Computational Intelligence in Economics and Finance, Springer.
[10] Chen, S.-H. and C.-Y Tsao (2003), Self-organizing maps as a foundation for charting or geometric pattern recognition in financial time series, in Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering (CIFEr2003), Hong Kong, March 20-23, 2003. 387-394. ISBN: 0-7803-7654-4.
[11] Cowan, A.R. (1992), Nonparametric event study tests, Review of Quantitative Finance and Accounting, 2, 343-358.
[12] Cowan, A.R. and A.M.A. Sergeant (1996), Trading frequency and event study test specification, Journal of Banking and Finance, 20, 1731-1757.
[13] Deboeck, G. and T. Kohonen (1998), Visual Explorations in Finance with Self-Organizing Maps, Springer.
[14] Demark, T. R. (1994), The New Science of Technical Analysis, Wiley.
[15] Dittenbach, M., Merkl, D. and Rauber, A. (2000), The growing hierarchical selforganizing map, In S.-I. Amari, C. L. Giles, M. Gori, and V. Piuri (Eds.), Proceedings of the International Joint Conference on Neural Networks (IJCNN 2000), Vol. 6, pp. 15-19, July 24-27, Como, Italy, IEEE Computer Society.
[16] Enders, W. (1995), Applied Econometric Time Series, Wiley.
[17] Engle, R.F. (1982), Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987-1007.
[18] Engle, R.F., D.M. Lilien, and R.P. Robins (1987), Estimating time-varying risk premia in the term structure: the ARCH-M model, Econometrica, 55, 391-407.
[19] French, K.R., G.W. Schwert, and R.F. Stambaugh (1987), Expected stock returns and volatility, Journal of Financial Economics, 19, 3-29.
[20] Haykin, S.S. (1994), Neural Networks: A Comprehensive Foundation, New York:
MacMillan.
[21] Hayter, A.J. (1990), A one-sided studentized range test for testing against a simple ordered alternative, Journal of the American Statistical Association, 85, 778-785.
[22] Huang, Z. (1997), A fast clustering algorithm to cluster very large categorical data sets in data mining, First Asia Pacific Conference on Knowledge Discovery and Data Mining, Singapore, World Scientific, February.
[23] Jegadeesh, N. and S. Titman (1993). Returns to buying winners and selling losers: implications fot stock market efficiency, Journal of Finance, 48, 65-91.
[24] Kaski, S., T. Honkela, K. Lagus, and T. Kohonen (1998), WEBSOM – Self-organizing maps of document collections, Neurocomputing, 21, 101-117.
[25] Kohonen, T. (1982), Self-organized foundation of topologically correct feature maps, Biological Cybernetics, 43, 59-69.
[26] Kohonen, T. (2001), Self-Organizing Maps, 3rd Edition, Springer.
[27] Kuo, R.J., L.M. Ho, and C.M. Hu (2002), Integration of self-organizing feature map and K-means algorithm for market segmentation, Computers & Operations Research, 29, 1475-1493.
[28] Lam, K. and K.C. Lam (2000), Forecasting for the generation of trading signals in financial markets, Journal of Forecasting, 19, 39-52.
[29] Lo, A. W., H. Mamaysky and J. Wang (2000), Foundations of technical analysis: computational algorithms, statistical inference, and empirical implementation. Journal of Finance, 55, 1705-1765.
[30] MacKinlay, A.C. (1997), Event studies in economics and finance. Journal of Economic Literature, 35, 13-39.
[31] Osler, C. and K. Chang (1995), Head and shoulders: not just a flaky pattern. Staff Report No. 4, Federal Reserve Bank of New York.
[32] Pattel, J.M. (1976), Corporate forecasts of earnings per share and stock price behavior: empirical tests, Journal of Accounting Research, 14, 246-76.
[33] Polani, D and T. Uthmann (1993), Training kohonen feature maps in different
topologies: an analysis using genetic algorithms, Proceedings of the Fifth International Conference on Genetic Algorithms, 1993, Morgan Kaufmann, ISBN 1-55860-299-2.
[34] Roll, R. (1984), A simple implicit measure of the effective bid-ask spread in an efficient market, Journal of Finance, 39, 1127-1139.
[35] Vesanto, J. and E. Alhoniemi (2000), Clustering of the self-organizing map, IEEE Transactions on Neural Networks, 11:3, 586-600. |