We explore in this paper cubature formulas over the space of functions having a first continuous derivative, i.e., C^1. We show that known cubature formulas are not optimal in this case and explain what is the origin of the loss of optimality and how to construct optimal ones; to illustrate we...

Potential adjustments in U.S. commodity program for rice are evaluated in this paper using stochastic analysis in a global modeling framework. Corresponding threshold and loss-compensatory increases in target price and loan rates are determined with assumed outright and gradual elimination of...

Potential adjustments in U.S. commodity program for rice are evaluated in this paper using stochastic analysis in a global modeling framework. Corresponding threshold and loss-compensatory increases in target price and loan rates are determined with assumed outright and gradual elimination of...

Intuitively, we expect that players who are allowed to engage in costless communication before playing a game would be foolish to agree on an inefficient equilibrium. At the same time, however, such preplay communication has been suggested as a rationale for expecting Nash equilibrium in...

In this study, a hybrid fuzzy-stochastic programming method is developed for planning water trading under uncertainties of randomness and fuzziness. The method can deal with recourse water allocation problems generated by randomness in water availability and, at the same time, tackle...

The paper examines an important player in the container industry: the container terminal. We evaluate how terminal efficiency operation is affected by the following factors: terminal type, operation type, scale efficiency and returns to scale. In so doing, we test how the typology and operation...

This paper develops tests for comparing the accuracy of predictive densities derived from (possibly misspecified) diffusion models. In particular, the authors first outline a simple simulation-based framework for constructing predictive densities for one-factor and stochastic volatility models....

Given the importance of return volatility on a number of practical financial management decisions, the efforts to provide good real- time estimates and forecasts of current and future volatility have been extensive. The main framework used in this context involves stochastic volatility models....

We consider minimizing the probability of falling below a target growth rate of the wealth process up to a time horizon T in an incomplete market model under partial information and then study the asymptotic behavior of the minimizing probability as T → ∞. This problem is closely related to...