In this paper we apply a dynamic factor model to generate out of sample forecasts for the inflation rate in Mexico. We evaluate the role of using a wide range of macroeconomic variables with particular interest on the importance of using CPI disaggregated data to forecast inflation. Our data set...

Financial advisors typically recommend that a long-term investor should hold a higher percentage of his wealth in stocks than a short-term investor. However, part of the academic literature disagrees with this advice. We use a spatial dominance test which is suited for comparing alternative...

This paper analyzes the pass-through of exchange rate to different price indexes in Mexico. The analysis is based on a vector autoregressive model (VAR) using monthly data from January 1997 to December 2010. The pass-through effects are calculated by means of accumulated impulse response...

This paper examines the level of interdependence and volatility transmission in global agricultural futures markets. We follow a multivariate GARCH approach to explore the dynamics and cross-dynamics of volatility across major exchanges of corn, wheat, and soybeans between the United States,...

This paper analyzes recent changes in the relative importance of the determinants of capital flows to emerging market economies. For this purpose, we estimate vector autoregressive (VAR) models for the period 2009-2020. Based on these models, we estimate the effects on debt flows from shocks to...

This paper analyzes the relationship between central bank independence and inflation in a panel of 182 countries for the period from 1970 to 2018. To measure the degree of independence, two measures are used, the Garriga (2016) index, constructed from the laws and internal regulations of central...

This article evaluates the use of financial data sampled at high frequencies to improve short-term forecasts of quarterly GDP for Mexico. In particular, the mixed data sampling (MIDAS) regression model is employed to incorporate both quarterly and daily frequencies while remaining parsimonious....