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...

In the past decades, the amount of worldwide security transactions that was processed by electronic trading platforms increased significantly. In this paper we develop a theoretical framework for the pricing of limit orders of the Electronic Security Trading System Xetra operated by the German...

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....

Using proprietary data on equity lending supply, loan fees and quantities, we examine the link between institutional ownership structure and the market for equity lending and stock prices. We find that both total institutional ownership and ownership concentration (measured by the Herfindahl...

One aim of Viability Theory is to regulate evolutions under uncertainty in order not only to reach a target in finite time, but also to fulfill constraints (known as viability) until this time. Within the framework of finance, in the case of replicating portfolios, the target is defined by the...

We extend the vector autoregression (VAR) based expectations hypothesis (EH) test of term structure, considered in Bekaert & Hodrick (2001), B&H thereafter, using recent developments in bootstrap literature. Modifications include the use of wild bootstrap to allow for conditional...

This paper uses an evolutionary approach incorporating the idea of natural selection to examine market behavior in a one-sided buyer auction market. Even with no traders' rationality (such as rational expectations and adaptive learning) and with each trader's behavior preprogrammed with its own...

The Local Scale Model of Shephard (1994) is a state-space model of volatility clustering similar in effect to IGARCH, but with an unobserved volatility that realistically evolves independently of the observed errors, instead of being mechanically determined by them. It has one fewer parameter to...