Uma nota sobre erros de previsão da inflação de curto‐prazo
AbstractThis note shows that the unbiasedness and the weak rationality hypotheses are not rejected for the inflation forecasts surveyed by the Central Bank when the forecast horizon is one month. However, as in other countries, a clear pattern of auto-correlation of forecast errors is found. Furthermore, increases (decreases) in inflation are systematically associated with underestimations (overestimations) of inflation in the following month. This is true for both, the full sample of forecasters and the sample that is restricted to the 5 institutions with best forecasting performance, suggesting that models in which past realizations of inflation have greater weight in the formation of average expectations are more accurate than the assumption of rational expectations. Models aimed at explaining how expectations are formed should be able to explain these stylized facts as well as the hysteresis of forecasts.
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Bibliographic InfoArticle provided by FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil) in its journal Revista Brasileira de Economia.
Volume (Year): 66 (2012)
Issue (Month): 3 (October)
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Other versions of this item:
- Emanuel Kohlscheen, 2010. "Uma Nota sobre Erros de Previsão da Inflação de Curto Prazo," Working Papers Series 227, Central Bank of Brazil, Research Department.
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- Tabak, Benjamin M. & Takami, Marcelo & Rocha, Jadson M.C. & Cajueiro, Daniel O. & Souza, Sergio R.S., 2014.
"Directed clustering coefficient as a measure of systemic risk in complex banking networks,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 394(C), pages 211-216.
- Benjamin M. Tabak & Marcelo Yoshio Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
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