This paper explores a technique for developing a conference (or class) schedule that maximizes the servicing of participant requests for sessions. Data regarding participant interests are collected before the time the schedule is generated. The problem contains two principal parts: (1) to...

We integrate a case-based model of probability judgment with prospect theory to explore asset pricing under uncertainty. Research within the "heuristics and biases" tradition suggests that probability judgments respond primarily to case-specific evidence and disregard aggregate characteristics...

Contingent capital in the form of debt that converts to equity when a bank faces financial distress has been proposed as a mechanism to enhance financial stability and avoid costly government rescues. Specific proposals vary in their choice of conversion trigger and conversion mechanism. We...

We use the popular television show <i>Mad Money</i>, hosted by Jim Cramer, to test theories of attention and limits to arbitrage. Stock recommendations on <i>Mad Money</i> constitute attention shocks to a large audience of individual traders. We find that stock recommendations lead to large overnight returns...

We correlate analysts' forecast errors with temporal variation in investor sentiment. We find that when sentiment is high, analysts' forecasts of one-year-ahead earnings and long-term earnings growth are relatively more optimistic for "uncertain" or "difficult-to-value" firms. Adding these...

This paper shows that an important link between investor sentiment and firm overvaluation is optimistic earnings expectations, and that management earnings guidance helps resolve sentiment-driven overvaluation. Using previously identified firm characteristics, we find that most of the negative...

No-arbitrage models are extremely flexible modelling tools but often lack economic motivation. This paper describes an equilibrium consumption-based CAPM framework based on Epstein-Zin preferences, which produces analytic pricing formulas for stocks and bonds under the assumption that macro...

In this paper, we develop an efficient algorithm to value options under discrete-time GARCH processes. We propose a procedure based on dynamic programming coupled with piecewise polynomial approximation to compute the value of a given option, at all observation dates and levels of the state...

New lock box solution techniques have recently been suggested by Stone and Nauss-Markland. This paper briefly discusses these new methodologies and shows how the algorithms can be combined into a third solution procedure which exploits the computational efficiency of the Stone heuristic and...

This paper considers the so-called warehouse problem with both space and injection/withdrawal capacity limits. This is a foundational problem in the merchant management of assets for the storage of commodities, such as energy sources and natural resources. When the commodity spot price evolves...