This paper studies the behavior of price discovery within a context of an agent based stock market in which the twin assumptions namely, rational expectations and the representative agents normally made in mainstream economics, are removed. In this model, traders stochastically update their...

This paper develops a real options framework to analyze the behavior of stock returns in mergers and acquisitions. In this framework, the timing and terms of takeovers are endogenous and result from value-maximizing decisions. The implications of the model for abnormal announcement returns are...

This paper develops a default-risky bond pricing model, which assumes that the default intensity is driven by a Markov chain and which accounts for default and liquidity risk. A representation of the bond price dynamics, which separates three different types of risk, was obtained. Introducing...

In this paper, we extend the earlier results of Jeanblanc and Valchev (2003) in the single name case to the case of multiple defaults of the issuers in a concentrated industry or homo- geneous bond market. We provide solutions for the pairwise default correlations and credit spreads in an...

The 1987 stock market crash, the LTCM debacle, the Asian Crisis, the bursting of the high technology Dot-Com bubble of 2001-2 with 30% losses of equity values, events such as 9/11 and sudden corporate collapses of the magnitude of Enron - have radically changed the view that extreme events have...

This paper investigates the dynamics of trade duration and the relationship between price volatility and trade durations for the Morgan Stanley Taiwan stock index futures traded on the Singapore Exchange (SGX). It is found that the conditional expected trade durations are significantly related...

In this paper we explore ways that alleviate problems of nonparametric (artificial neural networks) and parametric option pricing models by combining the two. The resulting enhanced network model is compared to standard artificial neural networks and to parametric models with several historical...

This paper presents a new method to detect informed trading activities in the options markets.An option trade is identified as informed when it is characterized by an unusual largeincrement in open interest and volume, induces large gains, and is not hedged in the stock market.For the period...

This paper utilizes two different classification techniques to explore issues in the development of an early warning system for sovereign default. Specifically, the paper develops K-means clustering and logit models to illustrate how the optimal choice of parameters, such as assignment rule of...