We develop a common factor approach to reconstruct new business cycle indices for Argentina, Brazil, Chile, and Mexico ("LAC-4") from an unprecedentedly comprehensive dataset spanning 135 years. We establish the robustness of our indices through a variety of tests, use the indices to explore...

This paper develops a flexible approach to combine forecasts of future spot rates with forecasts from time-series models or macroeconomic variables. We find empirical evidence that accounting for both regimes in interest rate dynamics and combining forecasts from different models helps improve...

We propose a new approach to predictive density modeling that allows for MIDAS effects in both the first and second moments of the outcome and develop Gibbs sampling methods for Bayesian estimation in the presence of stochastic volatility dynamics. When applied to quarterly U.S. GDP growth data,...

Studies of bond return predictability find a puzzling disparity between strong statistical evidence of return predictability and the failure to convert return forecasts into economic gains. We show that resolving this puzzle requires accounting for important features of bond return models such...

We propose a new approach to imposing economic constraints on time-series forecasts of the equity premium. Economic constraints are used to modify the posterior distribution of the parameters of the predictive return regression in a way that better allows the model to learn from the data. We...

We study daily money market mutual fund flows at the individual share class level during the crisis of September 2008. The empirical approach that we apply to this fine granularity of data brings new insights into the investor and portfolio holding characteristics that are conducive to run-risk...

An important question in international finance is to what extent stock return volatility is influenced by country location, industry affiliation, and global factors. This Paper develops a new methodology to measure these effects, in which portfolios mimicking ‘pure’ country and industry...

This paper studies time-series dependence in the direction of stock prices by modelling the (instantaneous) probability that a bull or bear market terminates as a function of its age and a set of underlying state variables such as interest rates. A random walk model is rejected both for bull and...

Evaluation of forecast optimality in economics and finance has almost exclusively been conducted under the assumption of mean squared error loss. Under this loss function optimal forecasts should be unbiased and forecast errors serially uncorrelated at the single-period horizon with increasing...

We develop a theoretical framework for understanding how agents form expectations about economic variables with a partially predictable component. Our model incorporates the effect of measurement errors and heterogeneity in individual forecasters' prior beliefs and their information signals and...