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研究生:魏懿容
研究生(外文):WEI, YI-RONG
論文名稱:股票超額報酬預測:VAR及貝氏VAR模型之分析
論文名稱(外文):Excess Stock Return Forecasting with VAR and Bayesian VAR
指導教授:陳安行陳安行引用關係
指導教授(外文):CHEN, AN-SING
口試委員:廖則竣鄭揚耀
口試委員(外文):LIAO, CHE-CHENCHENG, LEE-YOUNG
口試日期:2017-06-21
學位類別:碩士
校院名稱:國立中正大學
系所名稱:財務金融系研究所
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:英文
論文頁數:93
中文關鍵詞:股票報酬超額報酬預測向量自我迴歸模型貝氏向量自我迴歸模型
外文關鍵詞:Stock ReturnExcess Return ForecastVector Autoregression modelBayesian Vector Autoregression model
相關次數:
  • 被引用被引用:0
  • 點閱點閱:519
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  • 下載下載:58
  • 收藏至我的研究室書目清單書目收藏:0
Campbell and Thompson (2008) found several restrictions are useful in improving the predictability of forecasting variables. In this paper, I imposes some of the restrictions proposed by Campbell and Thompson (2008) and found that the positive forecast value restriction is very powerful in improving the predictability for both VAR and Bayesian VAR. Nonetheless, the positive slopes restriction does not always perform well. The Bayesian analysis performs better in evaluating the indicators with longer impact on excess returns.
Introduction 1
Data and Methodology 3
Empirical Results 6
Predictive Regression 6
Variables with Growth Rate 6
Forecast Model 7
Adjustment for Fitted Value 7
The Valuation about predictability: "R2" 8
Sign Restrictions 8
Does "R2" really matters? 11
Conclusion 12
Reference 91
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