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

Why merger talks collapse: an exploratory study about contributing factors to ‘wedding cold feet' and deal making failure in mergers and acquisitions from the perspective of active deal making professionals in Brazil

Why merger talks collapse: an exploratory study about contributing factors behind ‘wedding cold feet' and deal making failure in Mergers and Acquisitions from the perspective of active deal making professionals in Brazil. One basic question encouraged this study: after all the effort, expectations and money usually invested in dealmaking, why are so many transactions simply abandoned, even when the benefits are clear for the business, shareholders, customers and employees?