Economics Insights @ CBS

This paper describes a practical algorithm based on Monte Carlo simulation for the pricing of multi-dimensional American (i.e., continuously exercisable) and Bermudan (i.e., discretely-exercisable) options. The method generates both lower and upper bounds for the Bermudan option price and hence gives valid confidence intervals for the true value. Lower bounds can be generated using any number of primal algorithms.

This paper studies recurrence properties of autoregressive (AR) processes with "super-heavy-tailed" innovations. Specifically, we study the case where the innovations are distributed, roughly speaking, as log-Pareto random variables (i.e. the tail decay is essentially a logarithm raised to some power). We show that these processes exhibit interesting and somewhat surprising behaviour.

The contribution of the feelings-as-information hypothesis to our understanding of the role of affect in judgment and decision making is discussed. Basic principles and regularities in how affective feelings guide judgments and decisions are then identified. Based on these principles and regularities, it is argued that the role of feelings in judgment and decision making may be more adaptive than has been assumed in most academic circles.

This empirical investigation tests the hypothesis that the benefits of personal choosing are restricted to choices made from among attractive alternatives. Findings from vignette and laboratory studies show that, contrary to people's self-predictions, choosers only proved more satisfied than non-choosers when selecting from among liked alternatives. When selecting from among disliked alternatives, the reverse is observed - that is, non-choosers proved more satisfied with the decision outcome than choosers.

The compromise effect denotes the finding that brands gain share when they become the intermediate rather than extreme option in a choice set. Despite the robustness and importance of this phenomenon, choice modelers have neglected to incorporate the compromise effect in formal choice models and to test whether such models outperform the standard value maximization model. In this article, the authors suggest four context-dependent choice models that can conceptually capture the compromise effect.