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In corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms or across time, and OLS standard errors can be biased. Historically, the two literatures have used different solutions to this problem. Corporate finance has relied on clustered standard(More)
The emergence of new equity markets in Europe, Latin America, Asia, the Mideast and Africa provides a new menu of opportunities for investors. These markets exhibit high expected returns as well as high volatility. Importantly, the low correlations with developed countries' equity markets significantly reduces the unconditional portfolio risk of a world(More)
We propose a measure of capital market integration arising from a conditional regime-switching model. Our measure allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integrated later in the sample. We find that a number of emerging markets exhibit time-varying integration.(More)
We investigate whether individual experiences of macroeconomic shocks affect financial risk taking, as often suggested for the generation that experienced the Great Depression. Using data from the Survey of Consumer Finances from 1960-2007, we find that individuals who have experienced low stock-market returns throughout their lives so far report lower(More)
Previous studies identify predetermined variables that predict stock and bond returns through time. This paper shows that loadings on the same variables provide significant cross-sectional explanatory power for stock portfolio returns. The load-ings are significant given the three factors advocated by Fama and French ~1993! and the four factors of Elton,(More)
This paper offers a model in which asset prices ref lect both covariance risk and misperceptions of firms’ prospects, and in which arbitrageurs trade against mispricing. In equilibrium, expected returns are linearly related to both risk and mispricing measures ~e.g., fundamental0price ratios!. With many securities, mispricing of idiosyncratic value(More)
Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974). Data mining for pre-dictor variables interacts with spurious regression bias. The two e¡ects reinforce each other, because more highly(More)