Rational Pessimism, Rational Exuberance, and Asset Pricing Models

Loading...
Thumbnail Image

Date

1999

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

346
views
621
downloads

Abstract

estimates and examines the empirical plausibility of asset pricing models that attempt to explain features of financial markets such as the size of the equity premium and the volatility of the stock market. In one model, the long-run risks (LRR) model of Bansal and Yaron, low-frequency movements, and time-varying uncertainty in aggregate consumption growth are the key channels for understanding asset prices. In another, as typified by Campbell and Cochrane, habit formation, which generates time-varying risk aversion and consequently time variation in risk premia, is the key channel. These models are fitted to data using simulation estimators. Both models are found to fit the data equally well at conventional significance levels, and they can track quite closely a new measure of realized annual volatility. Further, scrutiny using a rich array of diagnostics suggests that the LRR model is preferred.

Department

Description

Provenance

Citation

Scholars@Duke

Bansal

Ravi Bansal

J.B. Fuqua Distinguished Professor of Business Administration

Prof. Ravi Bansal is J.B. Fuqua Professor of Finance and Economics at Duke University and Research Associate at the NBER. He is a leader in the fields finance and macroeconomics and has published extensively in leading journals such as the Journal of Finance, American Economic Review and the Journal of Political Economy. His research provides new insights about the connections between economic growth and uncertainty to bond, equity, and currency markets. His pioneering work on identifying risks in capital markets, specifically long-run risks, is cited and discussed in the scientific background article for the 2013 Nobel Prize in Economics. Many of his PhD students have placed at leading academic institutions, central banks, and investment banks. In addition to Duke University, he has taught at Wharton School of Business, Stanford University, and the Indian School of Business. He earned his PhD from Carnegie Mellon University and prior to his doctorate, he studied at the Delhi School of Economics, Delhi University, and St. Xavier’s School (Delhi).

Tauchen

George E. Tauchen

William Henry Glasson Distinguished Professor Emeritus

George Tauchen is the William Henry Glasson Professor of Economics and professor of finance at the Fuqua School of Business. He joined the Duke faculty in 1977 after receiving his Ph.D. from the University of Minnesota. He did his undergraduate work at the University of Wisconsin. Professor Tauchen is a fellow of the Econometric Society, the American Statistical Association, the Journal of Econometrics, and the Society for Financial Econometrics (SoFie). He is also the 2003 Duke University Scholar/Teacher of the Year. Professor Tauchen is an internationally known time series econometrician. He has developed several important new techniques for making statistical inference from financial time series data and for testing models of financial markets.  He has given invited lectures at many places around the world, including London, Paris, Beijing, Taipei, Hong Kong, and Sydney. His current research (with Professor Li of Duke) examines the impact of large jump-like moves in stock market returns on the returns of various portfolios and individual securities.  He is a former editor of the Journal of Business and Economic Statistics (JBES) and former associate editor of Econometrica, Econometric Theory, The Journal of the American Statistical Association (JASA), and JBES.   He is currently Co-Editor of the Journal of Financial Econometrics.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.