Handbook of financial econometrics. Volume 2, Applications

This collection of original articles-8 years in the making-shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume.Presents a broad survey of current research-from local characterizations of the Markov process dynamics to financial market trading activity. Contributors include Nobel Prize laureate Robert Engle and other leading econometricians Offers a clarity of method and explanation unavailable in other financial econometrics collections 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.  Read more... Front Cover; Title Page; Copyright Page; Introduction to the Series; Table of Contents; List of Contributors; Chapter 13. MCMC Methods for Continuous-Time Financial Econometrics; Chapter 14. The Analysis of the Cross-Section of Security Returns; Chapter 15. Option Pricing Bounds and Statistical Uncertainty: Using Econometrics to Find an Exit Strategy in Derivatives Trading; Chapter 16. Inference for Stochastic Processes; Chapter 17. Stock Market Trading Volume; Index