This document analyzes inflation, exchange rate, interest rate, and GDP growth forecasts from the monthly Survey of Specialists in Economics from the Private Sector, maintained by Banco de México. The study concentrates on the mean across forecasters for the period from January 1995 to April 2008. The study evaluates the efficiency in the use of information and the relative performance using as benchmarks forecasts from time series models and from other macroeconomic variables. Inflation, interest rate, and GDP expectations seem to incorporate information in a relatively efficient manner. These forecasts appear to be better, in mean squared error terms, than the benchmark forecasts, except for the case of one-yearahead inflation. In addition, exchange rate forecasts do not seem to optimally incorporate available information and do not seem to improve upon forecasts obtained from a random walk model.
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Paper provided by Banco de México in its series Working Papers with number
2008-11.
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation
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