We use predictions of aggregate stock return variances from daily data to estimate time varying monthly variances for size-ranked portfolios. We propose and estimate a single factor model of heteroskedasticity for portfolio returns. This model implies time-varying betas. Implications of...

"This paper uses monthly returns from 1802-2010, daily returns from 1885-2010, and intraday returns from 1982-2010 in the United States to show how stock volatility has changed over time. It also uses various measures of volatility implied by option prices to infer what the market was expecting...

This paper studies expectations of capital appreciation in the housing market. We show that expectations impounded in the rent/price ratio at the beginning of the decade successfully predict appreciation rates, but only if we first control for cross-sectional differences in the quality of rental...

We investigate IPO market efficiency using a sample of equity carve-outs offered during the period of 1985-2005. Unlike IPOs examined in previous studies where trading during the pre-IPO book-building period does not exist and trading on the IPO date is rationed, in equity carve-outs, investors...