This article reexamines the now generally accepted notion that sell-offs of real estate assets provide positive returns for sellers but not for buyers. Following previous research, we use event study methods, but we modify the conventional market model to permit its residuals (unexpected returns) to be described by a time-varying conditional variance. We also differ from previous work in that our sample contains only sell-offs that can be precisely dated. Although we find substantial evidence of time-varying volatility in the unexpected return series, our economic results confirm the conventional viewpoint.Research on the restructuring of real estate and related firms affected by the purchase or sale of real estate has centered on documenting any unexpected returns associated with such activities and providing explanations for the statistical findings. The consensus, as recently elicited by Sirmans (1989, 1991), Elayan andYoung (1993), andMclntosh, Ott, andLiang (1995), is that sellers obtain unexpected returns and that buyers do not. Explanations for this finding rest on differences in the tax treatments for buyers and sellers, and on the number of buyers as opposed to the number of sellers. This latter explanation finds support in the corporate control literature as illustrated by Bradley, Desal, andKim (1988) and Jarrell, Brickley, andNetter (1988), among others.The purpose of this study is to reexamine the nature of the returns received by buyers and sellers. Two factors motivate this reexamination. First, previous studies rely on event study procedures cum the Ordinary Least Squares (OLS) market model. The OLS market model assumes that unexpected returns are normally distributed. Numerous studies, however, including Morgan and Morgan (1987), Connolly (1989), and Schwert and Sequin (1990), demonstrate that these returns often exhibit significant heteroscedasticity. To account for this possibility, we use a market model that permits unexpected returns to follow a generalized