Time series analysis of monthly beef cattle prices with nonlinear autoregressive models

This paper analyses the dynamics underlying a time series of the monthly av erage beef cattle price received by producers in the State of Sao Paulo (Br azil). The time series under study records monthly prices since 1954. An ex ploratory analysis suggested that after a period of intense government inte rvention in the cattle and beef markets, the underlying dynamics seem to be settling to a pattern similar to the one observed prior to that period. In order to try to verify if the underlying dynamics after the interventionis t phase an similar to those in former times, a forecasting procedure has be en used based on nonlinear autoregressive models. This tye of models were u sed after the BDS test showed significant results which can be interpreted as nonlinearities in the data, The results discussed in the paper seem to s uggest that after a period of intense interventions that lasted over two de cades, the current underlying dynamics are close (from a forecasting point of view) to those observed more than thirty years ago.