A business mobile application: Estimating financial time series models

Due to the growing of business market, there is an increasing need to enhance the connectivity of the market and provide a flexible tool which allows fast access. Mobile application can provide such type of accessibility. A mobile with the necessary applications connected with a wireless internet gives the user the required connectivity. Although hardware processing capabilities of the mobile might seems to be a computational constraints but a simpler non traditional programming techniques helps resolving this problem. In this paper, we provide a new business mobile application (BMA). A financial time series models, given a set of measurements that constitute the general stock index of Amman Stock Exchange (ASE), were developed. Two polynomial models with variable accuracy were used to give the user the access right to explore both and admit the best.