We propose a theory that jointly accounts for an asset illiquidity and for the asset price potential over-reliance on public information. We argue that, when trading frequencies differ across traders, asset prices reflect investors' Higher Order Expectations (HOEs) about the two factors that...

We investigate the dynamic of prices, information and expectations in a competitive, noisy, dynamic asset pricing equilibrium model. We look at the bias of prices as estimators of fundamental value in relation to traders' average expectations and note that prices are more (less) biased than...

This paper focuses on the impact that dispersion of opinions and asymmetric information have on turnover near releases of public information, using the probability of information-based trading (PIN) to proxy for information asymmetry and analysts' forecast dispersion for differences of opinion....

In this paper we exploit global analysis to explore welfare properties of a standard one-commodity GEI, under different notions of constrained Pareto optimality. In a unifying framework we revise and extend some of the leading results of the literature on incomplete markets and government...

We propose an objective for the firm in a model of production economies extending over time under uncertainty and with incomplete markets. We derive the objective of the firm from the assumption of initial-shareholders efficiency. Each shareholder is assumed to communicate to the firm her...

In an economy with a non-atomic measure space of assets and exchangeable risks, the Arbitrage pricing Theory (APT) holds exactly; and factors are structurally specified, which allows for an economic interpretation.

Equilibrium paths in an economy of overlapping generations are determinate. Time is either discrete or continuous; in either case, it extend into the infinite future and, possibly, the infinite past. There is one, nonstorable commodity at each date. The economy is stationary; intertemporal...

This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting accuracy with a particular focus on relatively large scale problems. We consider 10 assets from NYSE and NASDAQ and compare 125 model based one-step-ahead conditional variance...

We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...

In order to capture observed asymmetric dependence in international financial returns, we construct a multivariate regime-switching model of copulas. We model dependence with one Gaussian and one canonical vine copula regime. Canonical vines are constructed from bivariate conditional copulas and...