References-
[1]
- Achelis, S.B. (1995), Technical Analysis from A to Z, McGraw-Hill, New York.
- [2]
- Adriaanse, G. (2002), Technical Indicators, master thesis, University of Amsterdam.
- [3]
- Alexander, S.S. (1961), Price Movements in Speculative Markets: Trends or Random Walks, Industrial Management Review 2, 7-26.
- [4]
- Alexander, S.S. (1964), Price movements in speculative markets: Trends or random walks, Number 2, Industrial Management Review 5, 25-46.
- [5]
- Allen, H., Taylor, M.P. (1990), Charts, Noise and Fundamentalists in the London Foreign Exchange Market, The Economic Journal 100, 49-59.
- [6]
- Arditti, F.D., McCollough, W.A. (1978), Can Analysts Distinguish Between Real and Randomly Generated Stock Prices? Financial Analysts Journal, 70-74.
- [7]
- Arthur, W.B., Holland, J.H., LeBaron, B., Palmer, R., Taylor, P. (1997), Asset pricing under endogenous expectations in an artificial stock market. In: Arthur, W.B., Durlauf, S.N., and Lane, D.A., eds., The economy as an evolving complex system II, Redwood City, Addison-Wesley.
- [8]
- Bartlett, M.S. (1946), On the Theoretical Specification of Sampling properties of Autocorrelated Time Series, Journal of the Royal Statistical Society, Series B, 8, 27-41.
- [9]
- Bass, A.B. (1999), The Predictors: How a band of maverick physicists set out to beat Wall Street, Penguin Books Ltd, London.
- [10]
- Bera, A.K., Higgins, M.L. (1993), Arch Models: Properties, Estimation and Testing, Journal of Economic Surveys 7, 305-366.
- [11]
- Bernstein, P.L. (1996), Against the Gods: the remarkable story of risk, John Wiley & Sons, Inc.
- [12]
- Bessembinder, H., Chan, K. (1995), The profitability of technical trading strategies in the Asian stock markets, Pacific-Basin Finance Journal 3, 257-284.
- [13]
- Bessembinder, H., Chan, K. (1998), Market Efficiency and the Returns to Technical Analysis, Financial Management 27, 5-17.
- [14]
- Bodie, Z., Kane, A., Marcus, A.J. (1996), Investments, Irwin.
- [15]
- Bollerslev, T., Wooldridge, J.M. (1992), Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time Varying Covariances, Econometric Reviews 11, 143-172.
- [16]
- Boswijk, H.P. (1998), Unit Roots and Cointegration, University of Amsterdam, Lecture notes.
- [17]
- Bouman, S., Jacobsen, B. (1997), The Halloween Indicator: Sell in May and go away, Chapter in thesis: Time Series Properties of Stock Returns, 86-106, University of Amsterdam.
- [18]
- Box, G., Pierce, D. (1970), Distribution of Autocorrelations in Autoregressive Moving Average Time Series Models, Journal of the American Statistical Association 65, 1509-1526.
- [19]
- Brock, W.A., Hommes, C.H. (1997), A rational route to randomness, Econometrica 65, 1059-1095.
- [20]
- Brock, W.A., Hommes, C.H. (1997), Models of complexity in economics and finance, System Dynamics in Economic and Financial Models, ed C. Hey et al (New York: Wiley), 3-41.
- [21]
- Brock, W.A., Hommes, C.H. (1998), Heterogeneous beliefs and routes to chaos in a simple asset pricing model, Journal of Economic Dynamics and Control 22, 1235-1274.
- [22]
- Brock, W.A., Lakonishok, J., LeBaron, B. (1992), Simple Technical Trading Rules and the Stochastic Properties of Stock Returns, The Journal of Finance 47, 1731-1764.
- [23]
- Campbell J.Y., Lo, A.W., MacKinlay, A.C. (1997), The Econometrics of Financial Markets, Princeton University Press, New Jersey.
- [24]
- Chan, L.K.C., Lakonishok, J. (1993), Institutional Trades and Intraday Stock Price Behavior, Journal of Financial Economics, 173-199.
- [25]
- Cheung, Y., Chinn, M.D. (1999), Macroeconomic Implications of the Beliefs and Behavior of Foreign Exchange Traders, NBER working paper 7417.
- [26]
- Cheung, Y., Chinn, M.D., Marsh, I.W. (2000), How Do UK-Based Foreign Exchange Dealers Think Their Market Operates? NBER working paper 7524.
- [27]
- Cootner, P. (ed.) (1964), The Random Character of Stock Market Prices, MIT Press, Cambridge. Reprint in 2000 by Risk Publications, London.
- [28]
- Coutts, J.A., Cheung, K.C. (2000), Trading rules and stock returns: some preliminary short run evidence from the Hang Seng 1985-1997, Applied Financial Economics 10, 579-586.
- [29]
- Cowles, A. (1933), Can Stock Market Forecasters Forecast?, Econometrica 1, 309-324.
- [30]
- Cowles, A. (1944), Stock Market Forecasting, Econometrica, 206-214.
- [31]
-
Curcio, R., Goodhart, G. Guillaume, D., Payne, R. (1997), Do Technical Trading Rules Generate Profits? Conclusions from the Intra-Day Foreign Exchange Market, International Journal of Finance and Economics 2, 267-280.
- [32]
- Cuthbertson, K. (1996), Quantitative Financial Economics: Stocks, Bonds and Foreign Exchange, John Wiley & Sons Ltd., London.
- [33]
- Dacorogna, M.M., Müller, U.A., Pictet, O.V. (1991), A Measure of Trading Model Performance with a Risk Component, A discussion paper by the O&A Research Group, MMD.1991-05-24.
- [34]
- Dash, M. (1999), Tulipomania: The Story of the World's Most Coveted Flower and the Extraordinary Passions It Aroused, Victor Gollancz, London.
- [35]
- De Long, J.B., Shleifer, A., Summers, L.H., Waldmann, R.J. (1989), The size and incidence of the losses of noise trading, Journal of Finance 44, 681-696.
- [36]
- De Long, J.B., Shleifer, A., Summers, L.H., Waldmann, R.J. (1990), Noise trader risk in financial markets, Journal of Political Economy 98, 703-738.
- [37]
- Detry, P.J., Gregoire, P. (2001), Other Evidences of the Predictive Power of Technical Analysis: the Moving-Average Rules on European Indices, working paper, European Financial Management Association.
- [38]
- Diebold, F.X. (1986), Testing for Serial Correlation in the Presence of ARCH, Proceedings of the American Statistical Association, Business and Economic Statistics Section, 323-328.
- [39]
- Diebold, F.X., Mariano, R.S. (1995), Comparing predictive accuracy, Journal of Business and Economic Statistics 13, 253-265.
- [40]
- Dooley, M.P., Shafer, J.R. (1976), Analysis of Short-Run Exchange Rate Behavior: March 1973 to September 1975, International Finance Discussion Paper 123, Federal Reserve Board, Washington, D.C.
- [41]
- Dooley, M.P., Shafer, J.R. (1983), Analysis of Short-Run Exchange Rate Behavior: March 1973 to November 1981, 43-69, Exchange Rate and Trade Instability: Causes, Consequences and Remedies, in D. Bigman and T.Taya eds., Ballinger, Cambridge, MA.
- [42]
- Dudewicz, E.J., Mishra, S.N. (1988), Modern Mathematical Statistics, John Wiley & Sons, Inc.
- [43]
- Edwards, R.D., Magee, J. (1998), Technical Analysis of Stock Trends. Seventh Edition, second printing, John Magee, Inc.
- [44]
- Efron, B. (1979), Bootstrap methods: Another look at the jackknife, The Annals of Statistics 7, 1-26.
- [45]
- Efron, B., Tibshirani, R. (1986), Bootstrap methods for standard errors, confidence intervals and other measures of statistical accuracy, Statistical Science 1, 54-77.
- [46]
- Enders, W. (1995), Applied Econometric Time Series, John Wiley & Sons, Inc.
- [47]
- Fama, E.F. (1965a), The behavior of stock market prices, Journal of Business 38, 34-105.
- [48]
- Fama, E.F. (1965b), Tomorrow on the New York Stock Exchange, Journal of Business 38, 285-299.
- [49]
- Fama, E.F. (1970), Efficient Capital Markets: A Review of Theory and Empirical Work, Journal of Finance 25, 383-417.
- [50]
- Fama, E.F., Blume, M.E. (1966), Filter Rules and Stock-Market Trading, Journal of Business 39, 226-241.
- [51]
- Fama, E.F, French, K.R (1988), Dividend yields and expected stock returns, Journal of Financial Economics 22, 3-25.
- [52]
- Farmer, J.D. (1998), Market force, ecology, and evolution, Santa Fe Institute working paper 98-12-117.
- [53]
- Fernández-Rodríguez, F., Sosvilla-Rivero, S., Andrada-Félix, J. (2001), Technical Analysis in the Madrid Stock Exchange, Moneda y Crédito 213, 11-37.
- [54]
- Frankel, J.A., Froot, K.A. (1988), Chartists, fundamentalists and the demand for dollars, Greek Economic Review 10, 49-102.
- [55]
- Franses, P.H., Dijk, D. van (2000), Non-linear time series models in empirical finance, Cambridge University Press, New York.
- [56]
- Freedman, D. (1984), On bootstrapping two-stage least squares estimates in stationary linear models, Annals of Statistics 12, 827-842.
- [57]
- Freedman, D., Peters, S. (1984a), Bootstrapping a regression equation: Some empirical results, Journal of the American Statistical Society 79, 97-106.
- [58]
- Freedman, D., Peters, S. (1984b), Bootstrapping an econometric model: Some empirical results, Journal of Business and Economic Statistics 2, 150-158.
- [59]
- Friedman, M. (1953), The case of flexible exchange rates, In: Essays in Positive Economics, University of Chicago Press, Chicago.
- [60]
- Friend, I., Blume, M.E. (1975), The Demand for Risky Assets, The American Economic Review 65, 900-922.
- [61]
- Gaunersdorfer, A. (2000), Endogenous fluctuations in a simple asset pricing model with heterogeneous agents, Journal of Economic Dynamics and Control 24, 799-831.
- [62]
- Gaunersdorfer, A., Hommes, C.H. (2000), A nonlinear structural model for volatility clustering, CeNDEF Working Paper 00-02, University of Amsterdam.
- [63]
- Gaunersdorfer, A., Hommes, C.H., Wagener, F.O.O. (2000), Bifurcation Routes to Volatility Clustering, CeNDEF Working Paper 00-09, University of Amsterdam.
- [64]
- Giersbergen, N.P.A. van (1998), Bootstrapping Dynamic Econometric Models, Thesis, University of Amsterdam.
- [65]
- Graham, B. (1949), The Intelligent Investor, Fourth revised edition (1973), Harper & Row, Publishers, Inc., New York.
- [66]
- Grandia, V. (2002), The Search for the Golden Rule: A Reality Check of Technical Analysis in the Dutch Stock Market, master thesis, University of Amsterdam.
- [67]
- Grossman, S.J., Shiller, R.J. (1981), The Determinants of the Variability of Stock Market Prices, The American Economic Review, 222-227.
- [68]
- Hamilton, W.P. (1922), The Stock Market Barometer, Harper & Brothers, New York. Reprint in 1998 by John Wiley & Sons, Inc., New York.
- [69]
- Hansen, P.R. (2001), An Unbiased and Powerful Test for Superior Predictive Ability, Brown University, Department of Economics, working paper no.01-06.
- [70]
- Hommes, C.H. (1997), Nonlinear Economic Dynamics, University of Amsterdam, Lecture notes.
- [71]
- Hommes, C.H. (2001), Financial markets as nonlinear adaptive evolutionary systems, Quantitative Finance 1, 149-167.
- [72]
- Hong, H., Stein, J.C. (1999), A unified theory of underreaction, momentum trading, and overreaction in asset markets, Journal of Finance 54, 2143-2184.
- [73]
-
Hsieh, D.A. (1988), The Statistical Properties of Daily Foreign Exchange Rates: 1974-1983, Journal of International Economics 24, 129-145.
- [74]
- Hudson, R., Dempsey, M., Keasey, K. (1996), A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices - 1935 to 1994, Journal of Banking and Finance 20, 1121-1132.
- [75]
- Hull, J.C. (1991), Futures and Options Markets, Prentice-Hall, Inc., New Jersey.
- [76]
- Isakov D., Hollistein, M. (1999), Application of simple technical trading rules to Swiss stock prices: Is it profitable?, Financial Markets and Portfolio Management 13, 9-26.
- [77]
- James, F.E. (1968), Monthly Moving Averages: An Effective Investment Tool?, Journal of Financial and Quantitative Analysis, 315-326.
- [78]
- Jensen, M.C. (1967), Random Walks: Reality or Myth - Comment, Financial Analysts Journal, 77-85.
- [79]
- Jensen, M.C., Benington, G.A. (1969), Random Walks and Technical Theories: Some Additional Evidence, Journal of Finance 25, 469-482.
- [80]
- Kendall, M.G. (1953), The Analysis of Economic Time-Series, Journal of the Royal Statistical Society 96, 11-25.
- [81]
- Keynes, J.M. (1936), The General Theory of Unemployment, Interest and Money, Harcourt Brace, London.
- [82]
- Kho, B.C. (1996), Time-varying risk premia, volatility, and technical trading rule profits: Evidence from foreign currency futures markets, Journal of Financial Economics 41, 249-290.
- [83]
- Kirman, A. (1991), Epidemics of opinion and speculative bubbles in financial markets, In: M. Taylor (ed.), Money and financial markets, Macmillan, London.
- [84]
- Knez, P., Ready, M. (1996), Estimating the Profits from Trading Strategies, Review of Financial Studies, 1121-1164.
- [85]
- Langedijk, N. (2001), The Predictability of Technical Trading Rules on the Foreign Exchange Market: A Bootstrap Approach, master thesis, University of Amsterdam.
- [86]
- LeBaron, B. (1993), Practical Comparisons of Foreign Exchange Forecasts, Neural Network World 6, 779-790.
- [87]
- LeBaron, B. (2000a), The Stability of Moving-Average Technical Trading Rules on the Dow-Jones Index, Derivatives Use, Trading and Regulation 5, 324-338.
- [88]
- LeBaron, B. (2000b), Technical Trading Profitability in Foreign Exchange Market's in the 1990's, Brandeis University, working paper.
- [89]
- LeBaron, B., Arthur, W.B., Palmer, R. (1999), Time series properties of an artificial stock market, Journal of Economic Dynamics and Control 23, 1487-1516.
- [90]
- Lee, C.I., Mathur, I. (1995), Trading rule profits in European currency spot cross rates, Journal of Banking and Finance 20, 949-962.
- [91]
- Leeson, N. (1996), Rogue Trader, Time Warner Paperbacks.
- [92]
- Levich, R.M., Thomas L.R. (1993), The significance of technical trading-rule profits in the foreign exchange market: A bootstrap approach, Journal of International Money and Finance 12, 451-474.
- [93]
- Levy, R.A. (1967), Relative Strength as a Criterion for Investment Selection, Journal of Finance 22, 595-610.
- [94]
- Levy, R.A. (1971), The Predictive Significance of Five-Point Chart Patterns, The Journal of Business 44, 316-323.
- [95]
- Lintner, J. (1965), The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets, Review of Economics and Statistics 47, 13-37.
- [96]
- Ljung, G., Box, G. (1978), On a Measure of Lack of Fit in Time Series Models, Biometrika 65, 297-303.
- [97]
- Lo, A.W., MacKinlay, A.C. (1988), Stock market prices do not follow random walks: evidence from a simple specification test, Review of Financial Studies 1, 41-66.
- [98]
- Lo, A.W., MacKinlay, A.C., (1997), Maximizing predictability in the stock and bond markets, Macroeconomic Dynamics 1, 102-134.
- [99]
- Lo, A.W., MacKinlay, A.C. (1999), A non-random walk down Wall Street, Princeton University Press, Princeton.
- [100]
- Lo, A.W., Mamaysky, H., Wang, J. (2000), Foundations of technical analysis: computational algorithms, statistical inference and empirical implementation, Journal of Finance 55, 1705-1722.
- [101]
- Lux, T. (1995) Herd Behavior, Bubbles and Crashes, The Economic Journal 105, 881-896.
- [102]
- Malkiel, B.G. (1996), A Random Walk down Wall Street, W.W. Norton & Company, Inc, New York.
- [103]
- Mandelbrot, B. (1963), The Variation of Certain Speculative Prices, Journal of Business 36, 394-419.
- [104]
- Markowitz, H.M. (1952), Portfolio Selection, Journal of Finance 7, 77-91.
- [105]
- Markowitz, H.M. (1959), Portfolio Selection: Efficient Diversification of Investments, John Wiley, New York.
- [106]
- Marquering, W., Verbeek, M. (2000), The Economic Value of Predicting Stock Index Returns and Volatility, Tilburg University, Center for Economic Research, Discussion paper 78.
- [107]
- Menkhoff, L. (1998), The noise trading approach - questionnaire evidence from foreign exchange, Journal of International Money and Finance 17, 547-564.
- [108]
- Mills, T.C. (1990), Time series techniques for economists, Cambridge University Press.
- [109]
- Mills, T.C. (1997), Technical Analysis and the London Stock Exchange: Testing Trading Rules Using the FT30, International Journal of Finance and Economics 2, 319-331.
- [110]
- Ming Ming, L., Mat Nor, F., Krishnan Guru, B. (2000), Technical Analysis in the Malaysian Stock Market: An Empirical Evidence, working paper, Universiti Kebangsaan Malaysia.
- [111]
- Murphy J.J. (1986), Technical Analysis of the Futures Markets, New York institute of finance.
- [112]
- Neftci, S.N. (1991), Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of ``Technical Analysis'', Journal of Business 64, 549-571.
- [113]
- Nelson, D.B. (1995), Conditional heteroskedasticity in asset returns: a new approach, Econometrica 59, 347-370.
- [114]
- Nelson, S.A. (1903), The ABC of Stock Speculation. Reprint in 1999 by Fraser Publishing Company, Burlington.
- [115]
- Newey, W., West, K. (1987), A Simple Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix, Econometrica 55, 703-708.
- [116]
- O'Hara, M. (1995), Market Microstructure Theory, Blackwell Publishers, Inc., Massachusettes.
- [117]
- Osler, C.L., Chang, P.H.K. (1995), Head and Shoulders: Not Just a Flaky Pattern, Staff Reports No. 4, Federal Reserve Bank of New York.
- [118]
- Pesaran, M.H., Timmermann, A. (1995), Predictability of Stock Returns: Robustness and Economic Significance, The Journal of Finance 50, 1201-1228.
- [119]
- Pesaran, M.H., Timmermann, A. (2000), A Recursive Modeling Approach to Predicting UK Stock Returns, Economic Journal 110, 159-191.
- [120]
- Phillips, P.C.B. (1986), Understanding Spurious Regressions in Econometrics, Journal of Econometrics 33, 311-340.
- [121]
- Politis, D., Romano, J. (1994), The Stationary Bootstrap, Journal of the American Statistical Association 89, 1303-1313.
- [122]
- Prestbo, J.A. (1999), The Market's Measure, Dow Jones & Company, Inc., New York.
- [123]
- Pring, M. (1998), Introduction to Technical Analysis, McGraw-Hill, New York.
- [124]
- Ratner, M., Leal, R.P.C. (1999), Tests of technical trading strategies in the emerging equity markets of Latin America and Asia, Journal of Banking and Finance 23, 1887-1905.
- [125]
- Ready, M.J. (1997), Profits from Technical Trading Rules, working paper, University of Wisconsin-Madison.
- [126]
- Rhea, R. (1932), The Dow Theory, Barron's, New York. Reprint in 1993 by Fraser Publishing Company, Burlington.
- [127]
- Roberts, H.V. (1959), Stock-Market ``Patterns'' and Financial Analysis: Methodological Suggestions, Journal of Finance 14, 1-10.
- [128]
- Samuelson, P. (1965), Proof that Properly Anticipated Prices Fluctuate Randomly, Industrial Management Review 6, 41-49.
- [129]
- Satterthwhaite, R.E. (1946), Biom. Bull. 2 :110.
- [130]
- Schulmeister, S. (1988), Currency Speculation and Dollar Fluctuations, Quarterly Review Banca Nazionale del Lavoro, 343-365.
- [131]
- Sharpe, W. (1964), Capital Asset Prices: A Theory of Market Equilibrium, Journal of Finance 19, 425-442.
- [132]
- Shiller, R.J. (2000), Irrational Exuberance, Princeton University Press, New Jersey.
- [133]
- Snedecor, G.W., Cochran, W.G. (1989), Statistical Methods (8), Iowa: Stek University Press, Ames.
- [134]
- Sullivan, R., Timmermann, A., White, H. (1999), Data-snooping, Technical Trading Rule Performance, and the Bootstrap, Journal of Finance 54, 1647-1691.
- [135]
- Sullivan, R., Timmermann A., White, H. (2001), Dangers of data mining: The case of calendar effects in stock returns, Journal of Econometrics 105, 249-286.
- [136]
- Sweeney, R.J. (1986), Beating the Foreign Exchange Market, The Journal of Finance 61, 163-182.
- [137]
- Sweeney, R.J. (1988), Some New Filter Rule Tests: Methods and Results, Journal of Financial and Quantitative Analysis 23, 285-300.
- [138]
- Taylor, M.P., Allen, H. (1992), The use of technical analysis in the foreign exchange market, Journal of International Money and Finance 11, 304-314.
- [139]
- Theil, H., Leenders, C.T. (1965), Tomorrow on the Amsterdam Stock Exchange, Journal of Business 38, 277-284.
- [140]
- Thomson, R. (1998), Apocalypse Roulette, Pan Macmillan, London.
- [141]
- Wang, J. (1994), A model of competitive stock trading volume, Journal of Political Economy 102, 127-168.
- [142]
- West, K.D. (1996), Asymptotic Inference about Predictive Ability, Econometrica 64, 1067-1084.
- [143]
- Westerhoff, F.H. (2002), Expectations driven distortions in the foreign exchange market, Journal of Economic Behavior and Organization 1502, 1-24.
- [144]
- White, H. (1980), A Heteroskedasticity-Consistent Covariance Matrix and a Direct Test for Heteroskedasticity, Econometrica 48, 817-838.
- [145]
- White, H. (2000), A Reality Check for Data Snooping, Econometrica 68, 1097-1126.
- [146]
- Williams, J.B. (1938), The Theory of Investment Value, Harvard University Press.
- [147]
- Working, H. (1934), A Random Difference Series for Use in the Analysis of Time Series, American Statistical Association Journal 29, 11-24.
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