Emerging economies have been subject to abrupt reversals in capital inflows, which have adverse consequences for economic activity and financial stability. An important question for policymakers is how to respond to a sudden loss of external financing and its negative effects on the domestic...

The frequencies at which prices and wages are adjusted, interpreted as price and wage flexibility, are key elements in workhorse models used for policy analysis. Yet, there is little evidence regarding the relationship between these two sources of nominal rigidities. Using two large and highly...

The remarkable stability of low domestic inflation in many countries requires explanation. In this paper, a number of competing hypotheses are evaluated on a stand-alone basis, and all are found to be inadequate. This includes the view that this outcome has been solely the result of more...

Exchange rate stability is crucial for inflation management as a stable rate is expected to reduce domestic inflation pressures through a `policy discipline effect'- restricting money supply growth, and a `credibility effect'- inducing higher money demand and reduced velocity of money....

Since the adoption of inflation targeting, the seasonal appears to be the component that explains the major part of inflation's total variation in Mexico. In this context, we study the performance of seasonal time series models to forecast short-run inflation. Using multi-horizon evaluation...

This paper provides empirical evidence that combinations of option implied and time series volatility forecasts that are conditional on current information are statistically superior to individual models, unconditional combinations, and hybrid forecasts. Superior forecasting performance is...

This study models high and low frequency variation in global equity correlations using a comprehensive sample of 43 countries that includes developed and emerging markets, during the period 1995-2008. These two types of variations are modeled following the semi-parametric Factor-Spline-GARCH...

FinTech online lending to consumers has grown rapidly in the post-crisis era. As argued by its advocates, one key advantage of FinTech lending is that lenders can predict loan outcomes more accurately by employing complex analytical tools, such as machine learning (ML) methods. This study...

Linear panel models, and the "event-study plots" that often accompany them, are popular tools for learning about policy effects. We discuss the construction of event-study plots and suggest ways to make them more informative. We examine the economic content of different possible identifying...

This paper estimates the magnitude of the exchange rate pass-through to consumer prices in Mexico. Moreover, it analyzes if the pass-through dynamics have changed in recent years. In particular, it uses a methodology that generates results consistent with the hierarchy implicit in the CPI. The...