An analytical framework is set up to evaluate the foregone opportunity cost of mean-variance investment strategies. A parametric structure of the joint distribution of security returns, for which mean-variance investment strategy is suboptimal, is specified. For all constant absolute...

The purpose of this article is to formulate and test a decision model to increase the return on a pool of liquid assets through the use of Treasury bill futures contracts. Recent literature has documented inefficiencies in the pricing of T-bill futures. These inefficiencies can be exploited to...

The budgets for research and development (R&D) and marketing should be determined by managers to attain product market advantages. However, in response to investor expectations for short-term stock returns, managers may modify these budgets myopically to avoid unexpected short-term earnings...

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...

It is generally believed that security prices are determined by expectations concerning firm and economic variables. Despite this belief there is very little research examining expectational data. In this paper we examine how expectations concerning earning per share effect share price. We first...

Merton, Perrakis and Ryan, Levy, and Ritchken have established option pricing bounds under first and second stochastic dominance preferences. These bounds are particularly important for valuing contingent claims when continuous trading in the claim and/or underlying security does not exist. This...

The use of options in altering the return distribution of stock portfolios has found increasing interest among investment managers. The potential of options in forming portfolio return distributions that are more consistent with investor preferences has been well developed, but determining the...

Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises different classifier algorithms coupled together by a voting scheme. Accuracy levels are similar to widely used Bayes...

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...