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Modeling Conditional Volatility and Persistence in Variance Under GARCH Models in the Presence of Structural Shifts

ABSTRACT第4-5页
TABLE OF CONTENTS第6-9页
List of Tables第9-12页
List of Figures第12-13页
Chapter 1 Introduction第13-21页
    1.1 Motivation and Purpose第13-14页
    1.2 Volatility and Emerging Markets第14-15页
    1.3 Stylized Features of Financial Returns第15-17页
    1.4 Appearance of this thesis第17-19页
    1.5 Research Articles第19-21页
Chapter 2 Basic Concepts with Prior Research Background第21-35页
    2.1 Modeling Volatility第21页
    2.2 Development in Volatility Modeling第21-25页
    2.3 Auto Regressive Conditional Heteroscedastic Model第25-27页
    2.4 Generalized Auto Regressive Conditional Heteroscedastic Model第27-29页
    2.5 Properties of Asymmetric GARCH models第29-35页
        2.5.1 Threshold GARCH or TGARCH Model第29-31页
        2.5.2 GJR-GARCH Model第31-32页
        2.5.3 Exponential GARCH or EGARCH Model第32-34页
        2.5.4 Power GARCH or APARCH Model第34-35页
Chapter 3 Modeling Volatility and Empirical Results第35-55页
    3.1 Introduction第35页
    3.2 Methodology and Material第35-38页
    3.3 Data Description and Prerequisite Tests第38-46页
        3.3.1 Test for Hetroscedasticity第39-40页
        3.3.2 Test for Normality第40页
        3.3.3 Test for Stationarity第40-46页
    3.4 Density for Innovation第46-47页
        3.4.1 Student-t Distribution第46-47页
        3.4.2 Generalized Error Distribution第47页
    3.5 Model Application and Empirical Results第47-54页
        3.5.1 Model Estimation of GARCH model第48-49页
        3.5.2 Model Estimation GARCH-M model第49-50页
        3.5.3 Model Estimation EGARCH model第50-51页
        3.5.4 Model Estimation of TGARCH model第51-52页
        3.5.5 Analysis of distributional specification in conditional vairance第52-54页
    3.6 Concluding Remarks第54-55页
Chapter 4 Modeling Volatility for Sudden Shocks;(2007-2008 Financia Crisis)第55-69页
    4.1 Introduction第55页
    4.2 Emerging Markets and Financial Crisis第55-57页
    4.3 Numerical Facts and Methodology第57-61页
        4.3.1 Numerical Facts as Return DATA第57-60页
        4.3.2 Empirical Methodology第60-61页
    4.4 Before,During and Post-Crisis Empirical Results第61-68页
    4.5 Conclusions第68-69页
Chapter 5 Multiple Structural Breaks for sudden shifts,Variance Persistencyand Forecast Evaluation of asymmetric GARCH Models第69-87页
    5.1 Introduction第69-70页
    5.2 Bai and Perran Methodology for multiple structural breaks第70-72页
    5.3 Model Estimation with and without structural breaks第72-75页
        5.3.1 EGARCH Model with and without structural shifts第72-73页
        5.3.2 TGARCH Model with and without structural shifts第73-75页
    5.4 Forecast evaluation measurements第75-76页
    5.5 Data and Integration第76-77页
    5.6 Methodology Implication and Estimated Results第77-83页
    5.7 Forecast Evaluation Results with and without sudden shifts第83-86页
    5.8 Conclusion第86-87页
Chapter 6 Concluding Remarks and Future Research Recommendations第87-91页
    6.1 Conclusion第87-88页
    6.2 Future Research Recommendations第88-91页
References第91-97页
Acknowledgement第97-99页
Research Articles第99页

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