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Asset pricing at the millennium
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| Venue: | Journal of Finance |
| Citations: | 183 - 0 self |
BibTeX
@ARTICLE{Campbell_assetpricing,
author = {John Y. Campbell},
title = {Asset pricing at the millennium},
journal = {Journal of Finance},
year = {}
}
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Abstract
This paper surveys the field of asset pricing. The emphasis is on the interplay between theory and empirical work and on the trade-off between risk and return. Modern research seeks to understand the behavior of the stochastic discount factor ~SDF! that prices all assets in the economy. The behavior of the term structure of real interest rates restricts the conditional mean of the SDF, whereas patterns of risk premia restrict its conditional volatility and factor structure. Stylized facts about interest rates, aggregate stock prices, and cross-sectional patterns in stock returns have stimulated new research on optimal portfolio choice, intertemporal equilibrium models, and behavioral finance. This paper surveys the field of asset pricing. The emphasis is on the interplay between theory and empirical work. Theorists develop models with testable predictions; empirical researchers document “puzzles”—stylized facts that fail to fit established theories—and this stimulates the development of new theories. Such a process is part of the normal development of any science. Asset pricing, like the rest of economics, faces the special challenge that data are generated naturally rather than experimentally, and so researchers cannot control the quantity of data or the random shocks that affect the data. A particularly interesting characteristic of the asset pricing field is that these random shocks are also the subject matter of the theory. As Campbell, Lo, and MacKinlay ~1997, Chap. 1, p. 3! put it: What distinguishes financial economics is the central role that uncertainty plays in both financial theory and its empirical implementation. The starting point for every financial model is the uncertainty facing investors, and the substance of every financial model involves the impact of uncertainty on the behavior of investors and, ultimately, on mar-* Department of Economics, Harvard University, Cambridge, Massachusetts
Keyphrases
asset pricing empirical work financial model random shock new theory interesting characteristic testable prediction empirical implementation conditional mean stochastic discount factor sdf modern research harvard university central role mar department risk premia subject matter term structure financial economics normal development asset pricing field special challenge intertemporal equilibrium model empirical researcher document puzzle stock return real interest rate interest rate new research uncertainty play factor structure conditional volatility aggregate stock price established theory cross-sectional pattern financial theory optimal portfolio choice behavioral finance
