#Econometrics

Forecasting Commodity Prices: A Comparative Analysis of Common and Mixed Frequency Approaches

Abstract

In this blog post, I rigorously analyze the forecasting performance of commodity price inflation models. I compare a conventional univariate autoregressive (AR) model with two mixed frequency models—the unrestricted MiDAS model and the HAR-MiDAS model. By integrating daily stock returns with monthly inflation data, I aim to capture market dynamics that standard techniques overlook. I evaluate model performance using robust statistical tests, RMSE comparisons, and the Diebold-Mariano test, and I explore the benefits of a rolling forecast origin. Throughout the analysis, I include detailed mathematical formulations, estimation results, tables, and graphical visualizations.

Tags: #Econometrics

Portugal: A Macroeconomic Risk Analysis

Abstract

This blog post presents an innovative and comprehensive analysis of Portugal’s macroeconomic performance over the period 1970–2005. By integrating classical economic theory with advanced econometric modeling—including Vector Autoregression (VAR) and ARIMA approaches—we examine the intricate interplay between GDP growth, unemployment, and inflation. Our study revisits the traditional Phillips Curve framework and proposes an accelerated variant to better capture the nuances of Portuguese economic dynamics. The analysis not only identifies key recession periods but also offers robust policy implications for economic stabilization and investment strategy formulation.

Tags: #Econometrics #Macroeconomics #Policy Analysis #Advanced Econometric Models