Abstract
Decision support systems use statistical and computational techniques. These statistical and computational techniques are used to predict the outcomes when it is applied on financial data. This chapter discusses the time series forecasting and predictive analytics within the financial domain. This work will cover the ARIMA method and deep learning methods. These methods will facilitate forecasting future through the analysis of financial time series data. The outcomes generated by these methods will help the financial managers and other professionals in the financial domain to improve their results. This work investigates predictive analytic techniques in the finance domain and computational algorithms to forecast the future trends.
Published Version
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