Results 1  10
of
93
Resurrecting the (C)CAPM: A CrossSectional Test When Risk Premia Are TimeVarying
 Journal of Political Economy
, 2001
"... This paper explores the ability of conditional versions of the CAPM and the consumption CAPM—jointly the (C)CAPM—to explain the cross section of average stock returns. Central to our approach is the use of the log consumption–wealth ratio as a conditioning variable. We demonstrate that such conditio ..."
Abstract

Cited by 139 (5 self)
 Add to MetaCart
This paper explores the ability of conditional versions of the CAPM and the consumption CAPM—jointly the (C)CAPM—to explain the cross section of average stock returns. Central to our approach is the use of the log consumption–wealth ratio as a conditioning variable. We demonstrate that such conditional models perform far better than unconditional specifications and about as well as the FamaFrench threefactor model on portfolios sorted by size and booktomarket characteristics. The conditional consumption CAPM can account for the difference in returns between lowbooktomarket and highbooktomarket portfolios and exhibits little evidence of residual size or booktomarket effects. We are grateful to Eugene Fama and Kenneth French for graciously providing the
Asymmetric correlations of equity portfolios
 Journal of Financial Economics
, 2002
"... University. We are especially grateful for suggestions from Geert Bekaert, Bob Hodrick, and Ken Singleton. We also thank an anonymous referee whose comments and suggestions greatly improved the paper. ..."
Abstract

Cited by 130 (1 self)
 Add to MetaCart
University. We are especially grateful for suggestions from Geert Bekaert, Bob Hodrick, and Ken Singleton. We also thank an anonymous referee whose comments and suggestions greatly improved the paper.
Asset pricing at the millennium
 Journal of Finance
"... This paper surveys the field of asset pricing. The emphasis is on the interplay between theory and empirical work and on the tradeoff 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 ..."
Abstract

Cited by 123 (3 self)
 Add to MetaCart
This paper surveys the field of asset pricing. The emphasis is on the interplay between theory and empirical work and on the tradeoff 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 crosssectional 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
Nonlinear Pricing Kernels, Kurtosis Preference, and the CrossSection of Assets Returns
 Journal of Finance
, 2002
"... This paper investigates nonlinear pricing kernels in which the risk factor is endogenously determined and preferences restrict the definition of the pricing kernel. These kernels potentially generate the empirical performance of nonlinear and multifactor models, while maintaining empirical power and ..."
Abstract

Cited by 82 (2 self)
 Add to MetaCart
This paper investigates nonlinear pricing kernels in which the risk factor is endogenously determined and preferences restrict the definition of the pricing kernel. These kernels potentially generate the empirical performance of nonlinear and multifactor models, while maintaining empirical power and avoiding ad hoc specifications of factors or functional form. Our test results indicate that preferencerestricted nonlinear pricing kernels are both admissible for the cross section of returns and are able to significantly improve upon linear single and multifactor kernels. Further, the nonlinearities in the pricing kernel drive out the importance of the factors in the linear multifactor model. A PRINCIPAL IMPLICATION OF THE Capital Asset Pricing Model ~CAPM! is that the pricing kernel is linear in a single factor, the portfolio of aggregate wealth. Numerous studies over the past two decades have documented violations of this restriction. 1 In response, researchers have examined the performance of alternative models of asset prices. These models have generally fallen into two classes: ~1! multifactor models such as Ross ’ APT or Merton’s ICAPM, in which factors in addition to the market return determine asset prices; or ~2! nonparametric models, such as Bansal et al. ~1993!, Bansal and Viswanathan ~1993!, and Chapman ~1997!, in which the pricing kernel is not
Term Structure of Interest Rates with Regime Shifts
 Journal of Finance
, 2002
"... We develop a term structure model where the short interest rate and the market price of risks are subject to discrete regime shifts. Empirical evidence from efficient method of moments estimation provides considerable support for the regime shifts model. Standard models, which include affine specifi ..."
Abstract

Cited by 79 (1 self)
 Add to MetaCart
We develop a term structure model where the short interest rate and the market price of risks are subject to discrete regime shifts. Empirical evidence from efficient method of moments estimation provides considerable support for the regime shifts model. Standard models, which include affine specifications with up to three factors, are sharply rejected in the data. Our diagnostics show that only the regime shifts model can account for the welldocumented violations of the expectations hypothesis, the observed conditional volatility, and the conditional correlation across yields. We find that regimes are intimately related to business cycles. MANY PAPERS DOCUMENT THAT THE UNIVARIATE short interest rate process can be reasonably well modeled in the time series as a regime switching process ~see Hamilton ~1988!, Garcia and Perron ~1996!!. In addition to this statistical evidence, there are economic reasons as well to believe that regime shifts are important to understanding the behavior of the entire yield curve. For example, business cycle expansion and contraction “regimes ” potentially
Explaining the Poor Performance of Consumptionbased Asset Pricing Models
 Journal of Finance
, 2000
"... We show that the external habitformation model economy of Campbell and Cochrane ~1999! can explain why the Capital Asset Pricing Model ~CAPM! and its extensions are better approximate asset pricing models than is the standard consumptionbased model. The model economy produces timevarying expect ..."
Abstract

Cited by 54 (4 self)
 Add to MetaCart
We show that the external habitformation model economy of Campbell and Cochrane ~1999! can explain why the Capital Asset Pricing Model ~CAPM! and its extensions are better approximate asset pricing models than is the standard consumptionbased model. The model economy produces timevarying expected returns, tracked by the dividendprice ratio. Portfoliobased models capture some of this variation in state variables, which a stateindependent function of consumption cannot capture. Therefore, though the consumptionbased model and CAPM are both perfect conditional asset pricing models, the portfoliobased models are better approximate unconditional asset pricing models. THE DEVELOPMENT OF CONSUMPTIONBASED ASSET PRICING THEORY ranks as one of the major advances in financial economics during the last two decades. The classic papers of Lucas ~1978!, Breeden ~1979!, Grossman and Shiller ~1981!, and Hansen and Singleton ~1982, 1983! show how a simple relation between consumption ...
The Term Structure of Real Rates and Expected Inflation. Working paper
, 2003
"... Changes in nominal interest rates must be due to either movements in real interest rates, expected inflation, or the inflation risk premium. We develop a term structure model with regime switches, timevarying prices of risk, and inflation to identify these components of the nominal yield curve. We ..."
Abstract

Cited by 50 (3 self)
 Add to MetaCart
Changes in nominal interest rates must be due to either movements in real interest rates, expected inflation, or the inflation risk premium. We develop a term structure model with regime switches, timevarying prices of risk, and inflation to identify these components of the nominal yield curve. We find that the unconditional real rate curve is fairly flat at 1.44%, but slightly humped. In one regime, the real term structure is steeply downward sloping. Real rates (nominal rates) are procyclical (countercyclical) and inflation is negatively correlated with real rates. An inflation risk premium that increases with the horizon fully accounts for the generally upward sloping nominal term structure. We find that expected inflation drives about 80 % of the variation of nominal yields at both short and long maturities, but during normal times, all of the
TwoPass Tests of Asset Pricing Models with Useless Factors
, 1997
"... In this paper we investigate the properties of the standard twopass methodology of testing beta pricing models with misspecified factors. In a setting where a factor is useless, defined as being independent of all the asse t returns, we provide theoretical results and simulation evidence that the s ..."
Abstract

Cited by 38 (4 self)
 Add to MetaCart
In this paper we investigate the properties of the standard twopass methodology of testing beta pricing models with misspecified factors. In a setting where a factor is useless, defined as being independent of all the asse t returns, we provide theoretical results and simulation evidence that the secondpass crosssectional regression tends to find the beta risk of the useless factor priced more often than it should. More surprisingly, this misspecification bias exacerbates when the number of time series observations increases. Possible ways of detecting useless factors are also examined. When testing asset pricing models relating risk premiums on assets to their betas, the primary question of interest is whether the beta risk of a particular factor is priced (i.e., whether the estimated risk premium associated with a given factor is significantly di#erent from zero). Black, Jensen, and Scholes (1972) and Fama and MacBeth (1973) develop a twopass methodology in which the beta of each asset with respect to a factor is estimated in a firstpass time series regression, and estimated betas are then used in secondpass crosssectional regressions (CSRs) to estimate the risk premium of the factor. This twopass methodology is very intuitive and has been widely used in the literature. The properties of the test statistics and goodnessoffit measures under the twopass methodology are usually developed under the assumptions that the asset pricing model is correctly specified and that the factors are correctly identified. Shanken (1992) provides an excellent discussion of this twopass methodology, especially the large sample properties of the twopass CSR for the correctly specified model under the assumption that returns are conditionally homoskedastic. Jagannathan and Wa...
Consumption risk and the cross section of expected returns
 Journal of Political Economy
, 2005
"... This paper evaluates the central insight of the consumption capital asset pricing model that an asset’s expected return is determined by its equilibrium risk to consumption. Rather than measure risk by the contemporaneous covariance of an asset’s return and consumption growth, we measure risk by the ..."
Abstract

Cited by 31 (0 self)
 Add to MetaCart
This paper evaluates the central insight of the consumption capital asset pricing model that an asset’s expected return is determined by its equilibrium risk to consumption. Rather than measure risk by the contemporaneous covariance of an asset’s return and consumption growth, we measure risk by the covariance of an asset’s return and consumption growth cumulated over many quarters following the return. While contemporaneous consumption risk explains little of the variation in average returns across the 25 FamaFrench portfolios, our measure of ultimate consumption risk at a horizon of three years explains a large fraction of this variation. I.
Performance evaluation with stochastic discount factors
 Journal of Business
, 2002
"... financial support from the PigottPACCAR professorship at the University of Washington. Previous drafts of the this paper were entitled, " Conditional Performance Evaluation." Performance Evaluation with Stochastic Discount Factors This paper uses a general asset pricing framework for eva ..."
Abstract

Cited by 30 (9 self)
 Add to MetaCart
financial support from the PigottPACCAR professorship at the University of Washington. Previous drafts of the this paper were entitled, " Conditional Performance Evaluation." Performance Evaluation with Stochastic Discount Factors This paper uses a general asset pricing framework for evaluating the performance of mutual funds. Abnormal returns are formed by multiplying a fund's gross return by a stochastic discount factor and subtracting one. We compare the performance of a large