This paper studies three different measures of monthly stock market volatility: the time-series volatility of daily market returns within the month; the cross-sectional volatility or 'dispersion' of daily returns on industry portfolios, relative to the market, within the month; and the...

In this paper I analyze a simple "representative agent" exchange model of general equilibrium, and derive closed form solutions for returns on stocks and real and nominal bonds. The model restricts the representative agent's utility function to be time-separable with isoelastic period utility,...

We introduce a "bad environment-good environment" technology for consumption growth in a consumption- based asset pricing model. Using the preference structure from Campbell and Cochrane (1999), the model generates realistic time-varying volatility, skewness and kurtosis in fundamentals while...

The long-run risks model of asset prices explains stock price variation as a response to persistent fluctuations in the mean and volatility of aggregate consumption growth, by a representative agent with a high elasticity of intertemporal substitution. This paper documents several empirical...

Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We...

This paper reviews the behavior of financial asset prices in relation to consumption. The paper lists some important stylized facts that characterize US data, and relates them to recent developments in equilibrium asset pricing theory. Data from other countries are examined to see which features...

A number of countries have delayed the opening of their capital markets to international" investment because of reservations about the impact of foreign speculators on both expected" returns and market volatility. We propose a cross-sectional time-series model that attempts to" assess the impact...

It appears that volatility in equity markets is asymmetric: returns and conditional volatility are negatively correlated. We provide a unified framework to simultaneously investigate asymmetric volatility at the firm and the market level and to examine two potential explanations of the...

It is sometimes argued that an increase in stock market volatility raises required stock returns, and thus lowers stock prices. This paper modifies the generalized autoregressive conditionally heteroskedastic (GARCH) model of returns to allow for this volatility feedback effect. The resulting...

This paper summarizes earlier research On the sources of variation in monthly U.S. stock returns in the period 1927-88. A log-linear model is used to break unexpected returns into changing expectations about future dividends and changing expectations about future returns. Even though stock...