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Title:	當理論與實務接觸:如何修正一位實務者的直覺 When theory meets practice:how do i modify the intuition of a practitioner?
Authors:	施力瑋 Shih, Li Wei
Contributors:	周行一施力瑋 Shih, Li Wei
Keywords:	動能過度反應反應不足 Momentum Overreaction Underreaction
Date:	2010
Issue Date:	2011-09-29 16:47:52 (UTC+8)
Abstract:	學者研究如何去預測整個市場或是特定產業的走勢，而時間序列的使用在這個層面也被廣泛使用。實務者跟學者近年來也逐漸開始專注於技術指標的分析上，而近年來越來越多的理論架構是根據行為財務學而產生，像是過度反應以及反應不足。本篇研究的目的旨在透過實務與學術的交流，將兩者的優勢互相結合，首先在詳述其投資策略之方法論後，將其想法透過時間序列分析模型化，再則藉由專業的學術訓練修改其模型。簡言之，本篇論文結論如下:1.實務者的方法確實有其洞察力與預測上的價值。2.在將變數從動能訊號轉換成外資持有市值後，回歸的結果確實有進一步的改善。3.外國機構投資人在不同的產業所持有之市值比例確實在統計上顯著受到報酬率跟現金比率兩者的T值與係數之影響。 Abstract Researchers have been exploring the subject of how to forecast the trends of overall market and certain of sectors from adequate information so far. The analysis and forecasting of time series are also extensively utilized in a variety of applications. Not only practitioners but also academics have been focus on technical indicators. And recently more and more theories based on behavior finance, such as overreaction and underreaction. This study is attempting to investigate the approach of an analyst according to time series analysis, and especially concerned about the momentum indicator, which is combined with overreaction and underreaction. Briefly, our conclusions are as follows： 1. The practitioner’s approach does really have its insight and predictive value. 2. After replacing variable from signals to holdings, the regression results have been improved. 3. We could indicate that the market value holding percentage of FINI in different sectors do really have significant influence toward T-statistics and coefficients of returnt-1 and cash ratiot-1. Key words：Momentum, Overreaction, Underreaction.
Reference:	楊奕農 (2005)。“時間序列分析財務與經濟上之應用”。台北：雙葉。 Barberis, N., Shleifer, A., and Vishny, R. (1998), “A model of investor sentiment”, Journal of Financial Economics 49, 307–343 Conrad, J. and Kaul, G. (1998), “An anatomy of trading strategies”, Review of Financial Studies 11, 489–519. Damodar, N. Gujarati and Dawn, C. Porter (2009), “Basic econometrics”, New York McGraw-Hill/Irwin. De Bondt, W. F M and Thaler, R. (1985), “Does the Stock Market Overreact? ”, Journal of Finance 42, 557–481. De Bondt, W. F M and Thaler, R. (1987), “Further Evidence On Investor Overreaction and Stock Market Seasonality”, Journal of Finance 42, 557–581. De Bondt, W. F M and Thaler, R. (1990), “Do Security Analysts Overreact? ”, The American Economic Review 80, 52–57. Dickey, David A. and Fuller, Wayne A. (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root“, Journal of the American statistical association 74, 427-431 Dickey, David A. and Fuller, Wayne A. (1981), “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root“, Journal of the Econometric Society 49, 1057-1072 Fama, Eugene F. (1970), “Efficient Capital Markets: A Review of Theory and Empirical Work”, Journal of Finance 25, 383–417. Jegadeesh, N. (1990), “Evidence of Predictable Behavior of Security Returns“, Journal of Finance 45, 881–898. Jegadeesh, N. and Titman, S. (1993), “Returns to buying winners and selling losers: Implications for stock market efficiency”, Journal of Finance 48, 65–91 Jegadeesh, N. and Titman, S. (2001), “Profitability of momentum strategies: An evaluation of alternative explanations”, Journal of Finance 2, 699–720. Lehmann, Bruce N. (1990) “Fads, Martingales, and Market Efficiency” Quarterly journal of economics 60, 1-28 Shefrin, Hersh and Statman, Meir (2000),” Behavior Portfolio Theory”,Journal of Financial and Quantitative 35, 127-151 Tversky, Amos and Kahneman, Daniel. (1974), “Judgment under Uncertainty: Heuristics and Biases“, Science 185, 1124-1131.
Description:	碩士國立政治大學財務管理研究所 98357032 99
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0098357032
Data Type:	thesis
Appears in Collections:	[Department of Finance] Theses

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