Review paper on time series data analysis: emerging trends

Abstract

In this paper i review the techniques and models based on neural networks and the underlying methods of transforming financial (time series data) to achieve best results. the review exercise enabled the discovery of the fact that researches have found out existence of some patterns and trends in seemingly random time series. Moreover , in the context of business, two companies being part of the same political, geographical and financial environment might have correlated time series data. The findings have been a results of combined use of genetic algorithms and artificial neural networks . in the same context, it can be said that applicability of NNs will increase where prediction is increasingly becoming important to gain edge.