
Financial Econometrics
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Content
- Intro
- Financial Econometrics: From Basics to Advanced Modeling Techniques
- Contents
- Preface
- Abbreviations and Acronyms
- About the Authors
- Chapter 1: Financial Econometrics: Scope and Methods
- THE DATA GENERATING PROCESS
- FINANCIAL ECONOMETRICS AT WORK
- TIME HORIZON OF MODELS
- APPLICATIONS
- APPENDIX: INVESTMENT MANAGEMENT PROCESS
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 2: Review of Probability and Statistics
- CONCEPTS OF PROBABILITY
- PRINCIPLES OF ESTIMATION
- BAYESIAN MODELING
- APPENDIX A: INFORMATION STRUCTURES
- APPENDIX B: FILTRATION
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 3: Regression Analysis: Theory and Estimation
- THE CONCEPT OF DEPENDENCE
- REGRESSIONS AND LINEAR MODELS
- ESTIMATION OF LINEAR REGRESSIONS
- SAMPLING DISTRIBUTIONS OF REGRESSIONS
- DETERMINING THE EXPLANATORY POWER OF A REGRESSION
- USING REGRESSION ANALYSIS IN FINANCE
- STEPWISE REGRESSION
- NONNORMALITY AND AUTOCORRELATION OF THE RESIDUALS
- PITFALLS OF REGRESSIONS
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 4: Selected Topics in Regression Analysis
- CATEGORICAL AND DUMMY VARIABLES IN REGRESSION MODELS
- CONSTRAINED LEAST SQUARES
- THE METHOD OF MOMENTS AND ITS GENERALIZATIONS
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 5: Regression Applications in Finance
- APPLICATIONS TO THE INVESTMENT MANAGEMENT PROCESS
- A TEST OF STRONG-FORM PRICING EFFICIENCY
- TESTS OF THE CAPM
- USING THE CAPM TO EVALUATE MANAGER PERFORMANCE: THE JENSEN MEASURE
- EVIDENCE FOR MULTIFACTOR MODELS
- BENCHMARK SELECTION: SHARPE BENCHMARKS
- RETURN-BASED STYLE ANALYSIS FOR HEDGE FUNDS
- HEDGE FUND SURVIVAL
- BOND PORTFOLIO APPLICATIONS
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 6: Modeling Univariate Time Series
- DIFFERENCE EQUATIONS
- TERMINOLOGY AND DEFINITIONS
- STATIONARITY AND INVERTIBILITY OF ARMA PROCESSES
- LINEAR PROCESSES
- IDENTIFICATION TOOLS
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 7: Approaches to ARIMA Modeling and Forecasting
- OVERVIEW OF BOX-JENKINS PROCEDURE
- IDENTIFICATION OF DEGREE OF DIFFERENCING
- IDENTIFICATION OF LAG ORDERS
- MODEL ESTIMATION
- DIAGNOSTIC CHECKING
- FORECASTING
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 8: Autoregressive Conditional Heteroskedastic Models
- ARCH PROCESS
- GARCH PROCESS
- ESTIMATION OF THE GARCH MODELS
- STATIONARY ARMA-GARCH MODELS
- LAGRANGE MULTIPLIER TEST
- VARIANTS OF THE GARCH MODEL
- GARCH MODEL WITH STUDENT'S
- DISTRIBUTED INNOVATIONS
- MULTIVARIATE GARCH FORMULATIONS
- APPENDIX: ANALYSIS OF THE PROPERTIES OF THE GARCH(1,1) MODEL
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 9: Vector Autoregressive Models I
- VAR MODELS DEFINED
- STATIONARY AUTOREGRESSIVE DISTRIBUTED LAG MODELS
- VECTOR AUTOREGRESSIVE MOVING AVERAGE MODELS
- FORECASTING WITH VAR MODELS
- APPENDIX: EIGENVECTORS AND EIGENVALUES
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 10: Vector Autoregressive Models II
- ESTIMATION OF STABLE VAR MODELS
- ESTIMATING THE NUMBER OF LAGS
- AUTOCORRELATION AND DISTRIBUTIONAL PROPERTIES OF RESIDUALS
- VAR ILLUSTRATION
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 11: Cointegration and State Space Models
- COINTEGRATION
- ERROR CORRECTION MODELS
- THEORY AND METHODS OF ESTIMATION OF NONSTATIONARY VAR MODELS
- STATE-SPACE MODELS
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 12: Robust Estimation
- ROBUST STATISTICS
- ROBUST ESTIMATORS OF REGRESSIONS
- ILLUSTRATION: ROBUSTNESS OF THE CORPORATE BOND YIELD SPREAD MODEL
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 13: Principal Components Analysis and Factor Analysis
- FACTOR MODELS
- PRINCIPAL COMPONENTS ANALYSIS
- FACTOR ANALYSIS
- PCA AND FACTOR ANALYSIS COMPARED
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 14: Heavy-Tailed and Stable Distributions in Financial Econometrics
- BASIC FACTS AND DEFINITIONS OF STABLE DISTRIBUTIONS
- PROPERTIES OF STABLE DISTRIBUTIONS
- ESTIMATION OF THE PARAMETERS OF THE STABLE DISTRIBUTION
- APPLICATIONS TO GERMAN STOCK DATA40
- APPENDIX: COMPARING PROBABILITY DISTRIBUTIONS44
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Chapter 15: ARMA and ARCH Models with Infinite-Variance Innovations
- INFINITE VARIANCE AUTOREGRESSIVE PROCESSES
- STABLE GARCH MODELS
- ESTIMATION OF THE STABLE GARCH MODEL
- PREDICTION OF CONDITIONAL DENSITIES
- CONCEPTS EXPLAINED IN THIS CHAPTER (IN ORDER OF PRESENTATION)
- Appendix: Monthly Returns for 20 Stocks: December 2000 - November 2005
- Index
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