In this paper we will give an overview of the more relevant results on the theoretical and experimental research related to public and private information dissemination and aggregation in asset markets, focusing mainly on the contemporaneous presence of public and private information and its...

The theoretical approach in dealing with the aggregation of information in markets in general, and financial markets in particular considers information as an exogenous element to the system, focusing just on conditions and consequences of the efficient incorporation of information into prices....

The main advantages of a laboratory financial market with respect to field data are: (i) it allows us a perfect monitoring of the available information to each subject at any moment in time, and (ii) it gives us the possibility of recording subjects' trading activity in the market. In our...

In the literature on currency and banking crises it has become the standard procedure to distinguish pure currency crises, pure banking crises and combined ('twin') currency and banking crises. We show theoretically and empirically that a similar differentiation should be chosen with regard to...

Early warning systems (EWSs) are subject to restrictions that apply to exchange rates in general: fundamentals matter but their influence is small and unstable. Keeping this in mind, five lessons emerge : First, EWSs have robust forecasting power and thus help policy-makers to prevent crises....

The objective of this paper is to implement a prototype of a currency crisis model as part of an early warning system framework for Uganda. The financial systems of developing countries like Uganda are especially vulnerable and therefore robust instruments to predict crises are needed. Our model...

This paper develops a new Early Warning System (EWS) model for predicting financial crises, based on a multinomial logit model. It is shown that EWS approaches based on binomial discrete-dependent-variable models can be subject to what we call a post-crisis bias. This bias arises when no...

This paper analyzes the predictability of emerging market currency crises by comparing the often used probit model to a new method, namely a multi-layer perceptron artificial neural network (ANN) model. According to the results, both models were able to signal currency crises reasonably well...

Early warning systems (EWSs) are subject to restrictions that apply to exchange rates in general: fundamentals matter but their influence is small and unstable. Despite this limitation four major lessons emerge: First, EWSs have robust forecasting power and thus help policy-makers to prevent...

Since financial derivatives are key instruments for risk taking as well as risk reduction, it is only straightforward to examine their role in currency crises. This paper addresses this issue by investigating the impact of currency futures trading on the underlying exchange rates. After a...