Little is known about the reactions of daily returns on portfolios with different characteristics to unexpected changes in macroeconomic conditions. This paper fills this void by analyzing the reactions of daily returns on portfolios formed on size and book-to-market ratio to news about a wide...

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 explore how the demand for a risky asset can be separated into an investment effect and a hedging effect by all risk-averse investors. This question has been shown to be complex when considered outside of the mean-variance framework. We restrict dependence among returns on the risky assets to...

We consider the original Arrow-Lind framework in which a government undertakes a risky project to be shared among many taxpayers. In our model, the taxpayers decide the level of participation in the risky project. Moreover, the amount of taxes collected by the government fully finances the...

We study the effect of an asymmetric environment on risk sharing. In our model, entrepreneurs consider undertaking risky projects in the real sector as well as selling part of their projects to investors. To capture the idea of an asymmetric environment, the returns on the alternative risk-free...

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...

A large number of parameterizations have been proposed to model conditional variance dynamics in a multivariate framework. However, little is known about the ranking of multivariate volatility models in terms of their forecasting ability. The ranking of multivariate volatility models is...

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...