We study herd behavior in a laboratory financial market with financial market professionals. We compare two treatments, one in which the price adjusts to the order flow so that herding should never occur, and one in which event uncertainty makes herding possible. In the first treatment, subjects...

Following record low interest rates and fast depreciating U.S. dollar, crude oil prices became under rising pressure and seemed boundless. Oil price process parameters changed drastically in 2003M5-2007M10 toward consistently rising prices. Short-term forecasting would imply persistence of...

A stochastic volatility model where volatility was driven solely by a latent variable called news was estimated for three stock indices. A Markov chain Monte Carlo algorithm was used for estimating Bayesian parameters and filtering volatilities. Volatility persistence being close to one was...

In many developing countries, a significant part of economic activity takes place in the informal sector. Earlier work has examined the determinants of the size of the informal sector, focusing separately on factors such as tax and regulation burden, financial market development, and the quality...

How do firm-specific actions-in particular, innovation-affect firm productivity? And what is the role of the financial sector in facilitating higher productivity? Using a rich firm-level dataset, we find that innovation is crucial for firm performance as it directly and measurably increases...

We develop a new methodology to estimate the importance of herd behavior in financial markets: we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate...