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Financial services industry is interested in analyzing vast financial data including price trends from stock exchanges around the world. SAS analytical and graphical tools are extremely useful to enable statistical analysis of various financial data including stock price information. Time Series statistical method is a valuable approach for analysis of financial data. Time Series modeling involves trends, seasonality, cyclical behavior, and forecasting future trends using historical data collected at regular time intervals. Many advanced Time Series analysis procedures are available in SAS/ETS module. In this paper, three PROCs are shown: PROC TIMESERIES, PROC FORECASTING, and PROC UCM.
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