We study market dynamics when an owner learns about the quality of her asset over time. Since this information is private, the owner sells strategically to a less informed buyer following sufficient negative information. In response, market prices feature a “U‐shape” and trading probabilities a “hump‐shape” with respect to the time to sale. As the owner initially acquires greater information, buyers suffer greater adverse selection, and prices fall accordingly. Eventually, the probability of an informed sale shrinks, and prices rebound. We provide evidence consistent with our model in markets for residential real estate, venture capital investments, and construction equipment.

We analyze a setting in which a board must hire a chief executive officer (CEO) after exerting effort to learn about the quality of each candidate. Optimal effort is asymmetric, implying asymmetric likelihoods of each candidate being chosen. If the board has an infinitesimal bias in favor of one candidate, it allocates effort to maximize the likelihood of that candidate being chosen. Even when the board's prior is that its preferred candidate is inferior, she may still be chosen most often. A glass ceiling can also arise whereby the tendency to hire favored candidates increases as the importance of the position increases.