Applied Mathematics

Volume 5, Issue 21 (December 2014)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index

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DOI: 10.4236/am.2014.521315    7,847 Downloads   11,374 Views  Citations

ABSTRACT

Due to the relative uncertainty involved with the variables which affect financial market behavior, forecasting future variations in a time series of the Brazilian stock market Index (Ibovespa) can be considered a difficult task. This article aims to evaluate the performance of the model ARIMA for time series forecasting of Ibovespa. The research method utilized was mathematical modeling and followed the Box-Jenkins method. In order to compare results with other smoothing models, the parameter of evaluation MAPE (Mean Absolute Percentage Error) was used. The results showed that the model utilized obtained lower MAPE values, thus indicating greater suitability. This therefore demonstrates that the ARIMA model can be used for time-series indices related to stock market index forecasting.

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Rotela Junior, P. , Salomon, F. and de Oliveira Pamplona, E. (2014) ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index. Applied Mathematics, 5, 3383-3391. doi: 10.4236/am.2014.521315.

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