Predicting The Evolution Of Bet Index, Using An Arima Model

Trying to predict the future price of certain stocks, securities or indexes is quite a common goal, being motivated by different reasons and being based on various techniques. The present article has the same purpose, employing an ARIMA model, due to its proven effectiveness and success. Used data is comprised of monthly values for the mentioned index, on a four-year period, from 2010 to 2014, which lead to 60 recordings. The main steps for the analysis are identifying the model, estimating the parameters and the prediction itself. After each one of them is carefully conducted, a comparison is made: the predicted values for BET versus the real values for BET, in order to see if any resemblances exists, or if the differences are significant. Those resemblances or differences are explained, while the conclusion will highlight ARIMA’s capacity or incapacity of forecasting in an accurate way, in the presented context.

[1]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[2]  Michael Y. Hu,et al.  Forecasting with artificial neural networks: The state of the art , 1997 .

[3]  Saptarsi Goswami,et al.  STUDY OF EFFECTIVENESS OF TIME SERIES M ODELI NG (ARIMA) INFORECASTING STOCK PRICES , 2014 .

[4]  Yohanes Budiman Wijaya,et al.  Stock Price Prediction: Comparison of Arima and Artificial Neural Network Methods - An Indonesia Stock's Case , 2010, 2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies.

[5]  Subrata Kumar Mitra Optimal Combination of Trading Rules Using Neural Networks , 2009 .

[6]  Victor R. Prybutok,et al.  Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations , 2000, Eur. J. Oper. Res..

[7]  Aderemi Oluyinka Adewumi,et al.  Stock Price Prediction Using the ARIMA Model , 2014, 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation.

[8]  Kamal Raj Pardasani,et al.  A COMPARISON BETWEEN HYBRID APPROACHES OF ANN AND ARIMA FOR INDIAN STOCK TREND FORECASTING , 2010 .

[9]  Eric S. Kyper,et al.  ARIMA Modeling with Intervention to Forecast and Analyze Chinese Stock Prices , 2011 .

[10]  Mohd Tahir Ismail,et al.  Selecting Wavelet Transforms Model in Forecasting Financial Time Series Data Based on ARIMA Model , 2011 .

[11]  Mohamed M. Mostafa,et al.  Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait , 2010, Expert Syst. Appl..