Oliver Linton is a fellow of Trinity College and is Professor of Political Economy at the University of Cambridge. Formerly, Professor of Econometrics at the London School of Economics and Political Science and Professor of Economics at Yale University. He obtained his Ph.D. in Economics from the University of California, Berkeley in 1991. He has written more than a hundred articles on econometrics, statistics, and empirical finance. In 2015, he was a recipient of the Humboldt Research Award of the Alexander von Humboldt Foundation. He has been a Co-editor at the Journal of Econometrics since 2014. He is a Fellow of the Econometric Society, the Institute of Mathematical Statistics, the Society for Financial Econometrics, the British Academy, and the International Foundation of Applied Econometrics. He was a lead expert in the UK Government Office for Science Foresight project: 'The Future of Computer Trading in Financial Markets', which published in 2012. He has appeared as an expert witness for the Financial Services Authority (FSA) and the Financial Conduct Authority (FCA) in several cases involving market manipulation.
Inhaltsangabe
1. Introduction and background 2. Econometric background 3. Return predictability and the efficient markets hypothesis 4. Robust tests and tests of nonlinear predictability of returns 5. Empirical market microstructure 6. Event study analysis 7. Portfolio choice and testing the capital asset pricing model 8. Multifactor pricing models 9. Present value relations 10. Intertemporal equilibrium pricing 11. Volatility 12. Continuous time processes 13. Yield curve 14. Risk management and tail estimation 15. Exercises and complements 16. Appendix.
1. Introduction and background; 2. Econometric background; 3. Return predictability and the efficient markets hypothesis; 4. Robust tests and tests of nonlinear predictability of returns; 5. Empirical market microstructure; 6. Event study analysis; 7. Portfolio choice and testing the capital asset pricing model; 8. Multifactor pricing models; 9. Present value relations; 10. Intertemporal equilibrium pricing; 11. Volatility; 12. Continuous time processes; 13. Yield curve; 14. Risk management and tail estimation; 15. Exercises and complements; 16. Appendix.
1. Introduction and background 2. Econometric background 3. Return predictability and the efficient markets hypothesis 4. Robust tests and tests of nonlinear predictability of returns 5. Empirical market microstructure 6. Event study analysis 7. Portfolio choice and testing the capital asset pricing model 8. Multifactor pricing models 9. Present value relations 10. Intertemporal equilibrium pricing 11. Volatility 12. Continuous time processes 13. Yield curve 14. Risk management and tail estimation 15. Exercises and complements 16. Appendix.
1. Introduction and background; 2. Econometric background; 3. Return predictability and the efficient markets hypothesis; 4. Robust tests and tests of nonlinear predictability of returns; 5. Empirical market microstructure; 6. Event study analysis; 7. Portfolio choice and testing the capital asset pricing model; 8. Multifactor pricing models; 9. Present value relations; 10. Intertemporal equilibrium pricing; 11. Volatility; 12. Continuous time processes; 13. Yield curve; 14. Risk management and tail estimation; 15. Exercises and complements; 16. Appendix.
Rezensionen
'Financial Econometrics: Models and Methods is an excellent book that provides rigorous and advanced econometric methods for testing financial theories. The book is very well structured and easy to follow. The author has successfully managed to simplify the theory of these methods, which makes the book highly recommended not only for Master's students, but also for practitioners who might be interested in using up-to-date econometric techniques for financial data analysis.' Abderrahim Taamouti, Durham University
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