Handbook of Financial Econometrics
Elsevier Science Ltd (Verlag)
978-0-444-53548-1 (ISBN)
Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship. A landmark in its coverage, this volume should propel financial econometric research for years.
Lars Peter Hansen is David Rockefeller Distinguished Service Professor at the University of Chicago, and is an internationally known leader in economic dynamics. Hansen guides the scholarly direction of the Becker Friedman Institute and chairs the Institute Research Council. He was one of the forces behind the 2008 creation of the Milton Friedman Institute, the predecessor of the Becker Friedman Institute, and served as its founding director. He was one of three in 2013 to be awarded The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel along with Eugene F. Fama and Robert J. Shiller "for their empirical analysis of asset prices." Hansen’s work explores formal implications of dynamic economic models in which decision makers face uncertain environments. The main theme of his research has been to devise and apply econometric methods that are consistent with the probabilistic framework of the economic models under investigation. His work has implications for consumption, savings investment, and asset pricing. Hansen's early research in econometrics was aimed at developing time series statistical methods to investigate one part of an economic model without having to fully specify and estimate all of the model ingredients. The applications he explored with several coauthors included systems that are rich enough to support models of asset valuation and to identify and clarify empirical puzzles, where real-world financial and economic data were at odds with prevailing academic models. He continues to explore, analyze, and interpret implications of dynamic economic models in environments with uncertainty from a time-series perspective. His recent research explores ways to quantify intertemporal risk-return tradeoffs and ways to model economic behavior when decision makers are uncertain about how to forecast future economic events. Hansen won the 2010 BBVA Foundation Frontiers of Knowledge Award in the Economics, Finance and Management “for making fundamental contributions to our understanding of how economic actors cope with risky and changing environments. He also received the CME Group-MSRI Prize in Innovative Quantitative Applications in 2008 and the Erwin Plein Nemmers Prize in Economics from Northwestern University in 2006. Hansen is a fellow of the National Academy of Sciences and the American Finance Association. He also is a member of the American Academy of Arts and Sciences and past president of the Econometric Society. Hansen is the editor of two Elsevier publications – Handbook of Financial Econometrics, Volume 1, Tools; and Handbook of Financial Econometrics, Volume 2, Applications.
1. MCMC Methods for Continuous-Time Financial Econometrics- Michael Johannes, Nicholas Polson
2. The Analysis of the Cross Section of Security Returns- Ravi Jagannathan, Giorgios Skoulakis, Zhenyu Wang
3. Option Pricing Bounds and Statistical Uncertainty- Per A. Mykland
4. Inference for Stochastic Processes- Jean Jacod
5. Stock market Trading Volume- Andrew W. Lo, Jiang Wang
Erscheint lt. Verlag | 21.10.2009 |
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Reihe/Serie | Handbook of Financial Econometrics ; Vol.2 |
Verlagsort | Oxford |
Sprache | englisch |
Maße | 191 x 235 mm |
Gewicht | 960 g |
Themenwelt | Wirtschaft ► Betriebswirtschaft / Management |
Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
ISBN-10 | 0-444-53548-9 / 0444535489 |
ISBN-13 | 978-0-444-53548-1 / 9780444535481 |
Zustand | Neuware |
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