We designed four observational learning experiments to identify the key channels that, along with Bayes-rational inferences, drive herd behavior. In Experiment 1, unobserved, whose actions remain private, learn from the public actions made in turn by subjects endowed with private signals of...

The paper employs a dynamic market-wide herding behavior measure of 117,166 lending-based campaigns in 119 online platforms in 37 countries that explores whether lenders follow each other in the whole crowdfunding market, within the groups of top platforms, within the specific category or...

This paper explores the behavior of emerging market mutual funds using anovel database covering the holdings of individual funds over the periodJanuary 1996 to March 1999. An examination of individual crises shows that,on average, funds withdrew money one month prior to the events. Thedegree of...

We study reputational herding in financial markets in a laboratory experiment. In the spirit of Dasgupta and Prat (2008), career concerns are introduced in a sequential asset market, where wages for investors are set by subjects in the role of employers. Employers can observe investment...

We propose a new method (implemented in an R-program) to simulate long-range daily stock-price data. The program reproduces various stylized facts much better than various parametric models from the extended GARCH-family. In particular, the empirically observed changes in unconditional variance...

We plot aggregated daily stock returns with absolute value less than x against x and show empirically that this produces a typical spoon-shaped pattern which indicates a special type of asymmetry which has not been discussed before. This pattern disappears when individual returns are averaged; it...

This article shows how to use the publicy-available firm-level surveys produced by the World Bank Enterprise Surveys (WBES) to reproduce the stylized facts that characterize firm heterogeneity and its relationship with global engagement, as established by Bernard et al. (2007) for manufacturing...

We analyze the interaction between monetary policy in the US and the global economy, using a global vector autoregressive model with time-varying parameters and stochastic volatility (TVP-SV-GVAR). We find that a contractionary US monetary policy shock leads to a persistent fall in international...

This paper provides insights into the time-varying dynamics of the German business cycle over the last five decades. To do so, I employ an open-economy time-varying parameter VAR with stochastic volatility, which I estimate by quasi-Bayesian techniques. The reduced-form analysis reveals...

This paper considers discrete time GARCH and continuous time SV models and uses these for American option pricing. We first of all show that with a particular choice of framework the parameters of the SV models can be estimated using simple maximum likelihood techniques. Hence the two types of...