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博碩士論文 etd-0119112-013135 詳細資訊
Title page for etd-0119112-013135
論文名稱
Title
異質投資者模型之應用:以台灣股市為例
Application of the Heterogeneous Agent Model: the Case of the Taiwanese Stock Market
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
132
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2011-12-30
繳交日期
Date of Submission
2012-01-19
關鍵字
Keywords
異質投資者模型、崩盤、資產價格泡沫化、價格波動性、動能策略、逆勢操作、基本分析策略、技術分析投資策略
Crash, Bubble, Heterogeneous Agents Model, Return Volatility, Momentum, Contrarian, Chartists, Fundamentalist
統計
Statistics
本論文已被瀏覽 5773 次,被下載 289
The thesis/dissertation has been browsed 5773 times, has been downloaded 289 times.
中文摘要
本研究共採用十種異質投資人模型(Heterogeneous
Agents Model)解釋台灣股市中投資人與股價變化所構築的動態囍統,以及市場中資產泡沫化的觀察。實證結果發現,在台灣市場中的確存在兩種類型的投資者,分別為認為觀察長期股價變化的長線投資者,以及短線操作的投資者。本研究針對不同的資料頻率,以及不同長度的移動平均價格代表長期均衡價格進行實證。研究發現長期投資者認為股價終將回歸至中長期的移動平均價格(一年以上之移動平均),但將進一步偏離短期的移動平均(季移動平均或半年移動平均),此型態在不同的交易頻率下維持一致。短期操作的投資者在日頻率及月頻率的交易行為為動能策略,週頻率下則認為價格將回歸至周平均報酬,且短期操作者的策略並不受
長期投資者的策略所影響。本研究延伸異質投資人模型與資產價格泡沫化、崩盤的相關研究,實證結果發現,在過去三段的金融海嘯期間,亞洲金融海嘯以及次級房貸期間,長期投資者採取著不同的交易策略。短期動能操作者以及採取動能策略之長期動資者,將增加市場波動性。進一步探討異質投資人模型與價格崩盤的關係,本研究將台灣市場過去二十年的價格變化曲分成長期景氣循環的崩盤,以及短期暴跌的
崩盤。實證結果發現,長期投資者採取價格將回歸基本價值的操作策略,將增加景氣循環式崩盤的可能性,短期動能操作者則是增加了暴跌式崩盤的可能性。若以異質投資人模型的參數代表市場中的不確定性,當市場存在短期動能操作
策略以及深信價格將回歸至長期基本價值的投資者時,不確定性越大,越容易發生景氣循環式的崩盤。
Abstract
Taiwanese stock market. The results suggest that
there exist two heterogeneous agents in Taiwanese stock market, α-investors behaving as long-term contrarian and β-investor behaving as short-term momentum traders. To
depict in detail the practical financial market, this research empirically tests HAM with different fundamental values (measured by the moving average price in different
rolling windows) across different investment frequencies (daily, weekly and monthly). The result suggests that α-investors (fundamentalists) expect prices to deviate from
the short-term moving average but mean revert to long-term moving average. Beta investors (chartists) act as momentum traders in daily and monthly frequency, but
short-term contrarian in weekly frequency. In addition, this study tests whether the parameters in HAM can explain some characteristics of crashes and bubbles. The result suggests that there are different investor behaviors in Asian, Dotcom, and Subprime crashes. By comparing the
parameters (α, β, and γ) of each individual stock, the study finds that stocks with contrarian α-investors and short-term momentum β-investors acting as short-term momentum traders have more volatile price pattern. As to crashes and individual stock volatility, the result suggests that sudden crashes (abrupt price decline) tend to occur in the stocks with short-term momentum traders, and while general crash (longterm economic cycle) tend to occur in the stocks with long-term contrarian investors. Stocks with larger Gamma, proxy for uncertainty, tends to have general crash only when α-investors acting as contrarian and β-investors acting as momentum traders.
目次 Table of Contents
1 Introduction 1
1.1 What is the Heterogeneous Agent Model (HAM)? 1
1.1.1 In Academic View 1
1.1.2 In Practical View 4
1.2 Heterogeneous Agents and Bubbles 5
1.2.1 What May Drive Bubbles 6
1.2.2 HAM in Bubbles 7
1.3 What Are the Differences of this Study from other HAM Studies 9
1.4 Main Finding of this Study 12
2 Related Literatures 13
2.1 Heterogeneous Agents Model 13
2.1.1 Catastrophe Theory 13
2.1.2 Heterogeneous Agents in Real Markets 14
2.1.3 Heterogeneous Propositions of Investors 15
2.1.4 Theory Model and Simulation Results 16
2.1.5 Empirical Analysis 19
2.2 Bubbles 24
2.2.1 What is Bubble? 24
2.2.2 What Causes the Bubble? 26
2.2.3 Who Causes and Bursts the Bubbles? 35
2.2.4 Forecast 37
3 Model and Hypothesis 47
3.1 Model 47
3.1.1 Threshold-Dynamic model 48
3.1.2 Threshold-Dynamics-Asymmetry model 49
3.1.3 Effective-Weight-Chartist model 49
3.1.4 Effective-Weight-Chartist-Asymmetry model 50
3.1.5 Effective-Weight-Fundamentalist model 51
3.1.6 Effective-Weight-Fundamentalist-Asymmetry model 51
3.1.7 Relative-Performance-F-C model 52
3.1.8 Relative-Performance-F-C-Asymmetry model 53
3.1.9 Relative-Performance-F-AR-MA model 54
3.1.10 Relative-Performance-F-AR-MA-Asymmetry model 55
3.2 Hypothesis 56
3.2.1 The Validity of HAM in TWSE market 56
3.2.2 Applying HAM to Explain Bubbles and Crises 57
3.3 Simulation Methodology 59
4 Data 60
4.1 Empirical Samples 60
4.2 Sample Period 60
4.2.1 Prominent Crashes Periods 60
4.2.2 Drawdowns in TWSE 63
4.2.3 Bubble-like pattern burst periods 64
5 Empirical Analysis 67
5.1 The validity of HAM in TWSE market 68
5.1.1 The Existence of Heterogeneous Investors in Taiwan Stock Market 68
5.1.2 α-Investors and β-Investors Strategies Under Various Dimensions 73
5.2 Bubble and crisis in HAM 84
5.2.1 Investor Weight and the Boom and Burst of Bubble 84
5.2.2 HAM and Three Crashes 88
5.2.3 Uncertainty and HAM Parameters 93
6 Conclusion 111
6.1 HAM in academic view 111
6.2 HAM in practical view 113
6.3 Further research and improvement 113
7 Reference 117
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