This paper examines the price impact of trading due to expected changes in the FTSE 100 index composition. We focus on the latter index because it employs publicly-known objective criteria to determine membership and hence it provides a natural context to investigate anticipatory trading...

This paper aims to assess dynamic tail risk exposure in the hedge fund sector using daily data. We use a copula function to model both lower and upper tail dependence between hedge-fund and broad-market returns as a function of market uncertainty. We proxy the latter by means of a single index...

We propose a novel estimator for the amount of international risk sharing that depends exclusively on asset returns data. In particular, our estimator has a nonparametric flavor in that it makes no parametric assumption on preferences and on the stochastic process that governs the dynamics of...

This paper develops a framework to nonparametrically test whether discretevalued irregularly-spaced financial transactions data follow a Markov process. For that purpose, we consider a specific optional sampling in which a continuous-time Markov process is observed only when it crosses some...

Agents usually use a discrete set of prices to alleviate transaction costs for it reduces the bargaining time by reducing the amount of information that parties must exchange. On the other hand, if the discrete price set does not include an acceptable price for both parties, then some...

There is a consensus that the proportion of suicides committed with a firearm is the best proxy for gun ownership prevalence. Cerqueira et al. (2108) exploit the socioeconomic characteristics of suicide victims in order to develop a new and more refined proxy. It is based on the fixed effects of...

This paper examines tail risk in the Brazilian hedge fund industry. We rely on a unique data set of daily returns for every hedge fund in Brazil, dead or alive. By employing the universe of hedge funds, we ensure the absence of selection, survivorship, and instant history biases. We estimate...

We formulate a continuous-time price discovery model and investigate how the standard price discovery measures vary with respect to the sampling interval. We find that the component share measure is invariant to the sampling interval, and hence discrete-sampled prices suffice to identify the...