In view of the uncertainty over the ability of merging firms to achieve efficiency gains, we model the post-merger situation as a Cournot oligopoly wherein the outsiders face uncertainty about the merged entity’s final cost. At the Bayesian equilibrium, a bilateral merger is profitable...

Although global free trade is efficient, each country’s benefit from free trade depends on the path that leads to the global free trade agreement. Using a dynamic model of trading bloc formation, we show that when global free trade is reached gradually, the countries that are initially...

Financial returns typically display heavy tails and some skewness, and cinditional vairance models with these features often outperform more limited models. The difference in performance may be especially important in estimating quantities that depend on tail features, including risk measures...

This paper proposes a new class of asymmetric Student-t (AST) distributions, and investigates its properties, gives procedures for estimation, and indicates applications in financial econometrics. We derive analytical expressions for the cdf, quantile function, moments, and quantities useful in...

We study the stability of cartels in a differential game model of oligopoly with sticky prices (Fershtman and Kamien 1987). We show that when firms use closed-loop strategies and the rate of increase of the marginal cost is .small enough., the grand coalition (i.e., when the cartel includes all...

We revisit Lucas’(1968) counter example for the existence of von Neumann and Morgenstern (1944) stable set (solution) for coalitional games. We show that when we endow the agents with foresight, particularly, when we replace von Neumann and Morgenstern’s (1944) dominance relation with the...

The new distribution class, Asymmetric Exponential Power Distribution (AEPD), proposed in this paper generalizes the class of Skewed Exponential Power Distributions (SEPD) in a way that in addition to skewness introduces di¤erent decay rates of density in the left and right tails. Our...