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題名 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?
作者 施力瑋
Shih, Li Wei
貢獻者 周行一
施力瑋
Shih, Li Wei
關鍵詞 動能
過度反應
反應不足
Momentum
Overreaction
Underreaction
日期 2010
上傳時間 29-九月-2011 16:47:52 (UTC+8)
摘要 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.
參考文獻 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.
描述 碩士
國立政治大學
財務管理研究所
98357032
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0098357032
資料類型 thesis
dc.contributor.advisor 周行一zh_TW
dc.contributor.author (作者) 施力瑋zh_TW
dc.contributor.author (作者) Shih, Li Weien_US
dc.creator (作者) 施力瑋zh_TW
dc.creator (作者) Shih, Li Weien_US
dc.date (日期) 2010en_US
dc.date.accessioned 29-九月-2011 16:47:52 (UTC+8)-
dc.date.available 29-九月-2011 16:47:52 (UTC+8)-
dc.date.issued (上傳時間) 29-九月-2011 16:47:52 (UTC+8)-
dc.identifier (其他 識別碼) G0098357032en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/50831-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 財務管理研究所zh_TW
dc.description (描述) 98357032zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要) 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。zh_TW
dc.description.abstract (摘要) 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.
en_US
dc.description.tableofcontents I. Introduction and Motivation 1
II. Literature Reviews 4
III.Data and Methodology 7
3.1 Data Description 7
3.2 Analytical Approach of the Practitioner 9
3.3 Modeling of the Practitioners Approach 15
3.4 Modification of the Practitioners Approach 16
3.5 Methodology 21
3.5.1 The Unit Root Test 21
IV.Empirical Analysis 23
4.1 Descriptive Statistics 23
4.2 The Results of Unit Root Test 25
4.3 Multiple Regression Analysis 32
4.3.1 Dynamic Time Series Analysis 32
4.3.2 Cross Sectional Regression Analysis 39
V. Conclusion 42
Reference 44
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0098357032en_US
dc.subject (關鍵詞) 動能zh_TW
dc.subject (關鍵詞) 過度反應zh_TW
dc.subject (關鍵詞) 反應不足zh_TW
dc.subject (關鍵詞) Momentumen_US
dc.subject (關鍵詞) Overreactionen_US
dc.subject (關鍵詞) Underreactionen_US
dc.title (題名) 當理論與實務接觸:如何修正一位實務者的直覺zh_TW
dc.title (題名) When theory meets practice:how do i modify the intuition of a practitioner?en_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 楊奕農 (2005)。“時間序列分析 財務與經濟上之應用”。台北:雙葉。zh_TW
dc.relation.reference (參考文獻) Barberis, N., Shleifer, A., and Vishny, R. (1998), “A model of investor sentiment”, Journal of Financial Economics 49, 307–343zh_TW
dc.relation.reference (參考文獻) Conrad, J. and Kaul, G. (1998), “An anatomy of trading strategies”, Review of Financial Studies 11, 489–519.zh_TW
dc.relation.reference (參考文獻) Damodar, N. Gujarati and Dawn, C. Porter (2009), “Basic econometrics”, New York McGraw-Hill/Irwin.zh_TW
dc.relation.reference (參考文獻) De Bondt, W. F M and Thaler, R. (1985), “Does the Stock Market Overreact? ”, Journal of Finance 42, 557–481.zh_TW
dc.relation.reference (參考文獻) De Bondt, W. F M and Thaler, R. (1987), “Further Evidence On Investor Overreaction and Stock Market Seasonality”, Journal of Finance 42, 557–581.zh_TW
dc.relation.reference (參考文獻) De Bondt, W. F M and Thaler, R. (1990), “Do Security Analysts Overreact? ”, The American Economic Review 80, 52–57.zh_TW
dc.relation.reference (參考文獻) 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, 427-431zh_TW
dc.relation.reference (參考文獻) 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, 1057-1072zh_TW
dc.relation.reference (參考文獻) Fama, Eugene F. (1970), “Efficient Capital Markets: A Review of Theory and Empirical Work”, Journal of Finance 25, 383–417.zh_TW
dc.relation.reference (參考文獻) Jegadeesh, N. (1990), “Evidence of Predictable Behavior of Security Returns“, Journal of Finance 45, 881–898.zh_TW
dc.relation.reference (參考文獻) Jegadeesh, N. and Titman, S. (1993), “Returns to buying winners and selling losers: Implications for stock market efficiency”, Journal of Finance 48, 65–91zh_TW
dc.relation.reference (參考文獻) Jegadeesh, N. and Titman, S. (2001), “Profitability of momentum strategies: An evaluation of alternative explanations”, Journal of Finance 2, 699–720.zh_TW
dc.relation.reference (參考文獻) Lehmann, Bruce N. (1990) “Fads, Martingales, and Market Efficiency” Quarterly journal of economics 60, 1-28zh_TW
dc.relation.reference (參考文獻) Shefrin, Hersh and Statman, Meir (2000),” Behavior Portfolio Theory”,Journal of Financial and Quantitative 35, 127-151zh_TW
dc.relation.reference (參考文獻) Tversky, Amos and Kahneman, Daniel. (1974), “Judgment under Uncertainty: Heuristics and Biases“, Science 185, 1124-1131.zh_TW