Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon

This work aims to compare the forecast efficiency of different types of methodologies applied to Brazilian Consumer inflation (IPCA). We will compare forecasting models using disaggregated and aggregated data over twelve months ahead. The disaggregated models were estimated by SARIMA and will have different levels of disaggregation. Aggregated models will be estimated by time series techniques such as SARIMA, state-space structural models and Markov-switching. The forecasting accuracy comparison will be made by the selection model procedure known as Model Confidence Set and by Diebold-Mariano procedure. We were able to find evidence of forecast accuracy gains in models using more disaggregated data

Social-analytics firms churn out world cup visuals

Three weeks into the world's most famous football tournament, you'd be forgiven for thinking those charts, maps and infographics you've been seeing everywhere were some kind of symptom of your World Cup fever. They are actually the result of a strategy shift by marketing teams in the social-media-measurement space, which have been investing more heavily in designers and content that can show off their products in a visual way.