This paper studies the applicability of time series models as a decision tool of buy and sell orders of live cattle futures contracts in the Brazilian Futures Market (BM&F), on dates close to expiration. The models considered are: ARIMA, Neural Networks and Dynamic Linear Models - DLM (this in the classic and bayesian approach). Weekly data, of the spot and futures markets, from 1996 to 1999, are used to calculate the forecasts. The main purpose is to calculate the returns, in buy/sell orders of live cattle futures between 1998 and 1999, in order to show the potentials or limitations of each model. The results show positive returns in almost all contracts analyzed, indicating the potential of the models as a decision tool in operating with ...
Considering the importance of the agricultural hedge and of the futures market as tools to facilitat...
A relação entre o preço futuro e o preço a vista é um fator que requer muita atenção e planejamento ...
The forecast on price of agricultural futures is studied in this paper. We use the ARIMA model to es...
Human forecasting capacity is still very limited. In spite of the extreme efforts of specialists in ...
Esta pesquisa trata da aplicabilidade de modelos de previsão de séries temporais como ferramenta de ...
Human forecasting capacity is still very limited. In spite of the extreme efforts of specialists in ...
O estudo comparou o desempenho preditivo dos modelos de previsão de redes neurais e de suavização ex...
This paper studies the applicability of time series models as a decision tool of buy and sell orders...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
This paper analyses the dynamics underlying a time series of the monthly average beef cattle price r...
The forecasting performance of various multivariate as well as univariate ARIMA models is evaluated ...
No presente trabalho utilizaram-se modelos de séries temporais Box & Jenkins, na forma univariada e ...
Multivariate time-series forecasts of weekly live cattle prices in six different geographic markets ...
Brazilian agribusiness has stood out in recent years for its efficiency and productivity growth, bas...
Considering the importance of the agricultural hedge and of the futures market as tools to facilitat...
A relação entre o preço futuro e o preço a vista é um fator que requer muita atenção e planejamento ...
The forecast on price of agricultural futures is studied in this paper. We use the ARIMA model to es...
Human forecasting capacity is still very limited. In spite of the extreme efforts of specialists in ...
Esta pesquisa trata da aplicabilidade de modelos de previsão de séries temporais como ferramenta de ...
Human forecasting capacity is still very limited. In spite of the extreme efforts of specialists in ...
O estudo comparou o desempenho preditivo dos modelos de previsão de redes neurais e de suavização ex...
This paper studies the applicability of time series models as a decision tool of buy and sell orders...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
This paper analyses the dynamics underlying a time series of the monthly average beef cattle price r...
The forecasting performance of various multivariate as well as univariate ARIMA models is evaluated ...
No presente trabalho utilizaram-se modelos de séries temporais Box & Jenkins, na forma univariada e ...
Multivariate time-series forecasts of weekly live cattle prices in six different geographic markets ...
Brazilian agribusiness has stood out in recent years for its efficiency and productivity growth, bas...
Considering the importance of the agricultural hedge and of the futures market as tools to facilitat...
A relação entre o preço futuro e o preço a vista é um fator que requer muita atenção e planejamento ...
The forecast on price of agricultural futures is studied in this paper. We use the ARIMA model to es...