In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries' predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we...

This paper reviews a number of different techniques for estimating default probabilities from the prices of publicly traded securities. These techniques are useful for assessing credit exposure, systemic risk, and stress testing financial systems. The choice of techniques was guided by their...

This paper outlines an approach to assess uncertainty around a forecast baseline as well as the impact of alternative policy rules on macro variability. The approach allows for non-Gaussian shock distributions and non-linear underlying macroeconomic models. Consequently, the resulting...

Brady bonds offer substantially higher returns than Eurobonds. This paper examines the Brady and Eurobond markets for developing country debt and finds that the apparent arbitrage opportunity is not only smaller than it at first appears, but is infeasible given the illiquidity of the Eurobond...

Using a new daily index of social unrest, we provide systematic evidence on the negative impact of social unrest on stock market performance. An average social unrest episode in an typical country causes a 1.4 percentage point drop in cumulative abnormal returns over a two-week event window....

With the rapid growth of countries' foreign asset and liability positions over the last two decades, financial returns on those positions ('NFA returns') have become material drivers of current accounts and net stock positions. This paper documents the relative importance of NFA return versus...

The relationship of stock returns and trading volume is the focus of much recent interest. I examine an economic model of a rational trader who operates in a market with transactions costs and noise trading. The level of trading affects the rational trader’s marginal cost of transacting; as a...

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...

Empirically, output and asset returns are highly positively correlated across the United States and the other major industrialized countries. Standard business cycle models that assume flexible prices and wages, in the Real Business Cycle tradition, have great difficulties explaining this fact....