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• Application of Exponential Smoothing Method for Forcasting Revenue of Vietnamese Steel Companies

  Nguyen Quoc Anh, Le Thanh Ha, Do Quang Giam

  Date Received: 04-03-2014 / Date Accepted: 27-03-2014 / Date Published: 06-08-2025

   Abstract PDF (VIETNAMESE)

  For the time being, the tools to which the investors choose to make decisions in Vietnam stock market still have limits, especially the tools to predict future business results of enterprises. Exponential smoothing is one of appropriate methods to forcast a timeseries data based on the past observations. Therefore, the article focused on applying this method to forcast revenue and business performance of the listed steel companies. The main purpose was to support decision making of investors and business owners. The forecasted results indicated that the revenues in the first quarter of 2013 of Hoa Sen Joint Stock Company, Lien Huu A Joint Stock Company and Viet-Y Joint Stock company were VND 2,488 billion, VND1,820 billion,and VND 1,137 billion, respectively. The article also pointed out difference between the forecates and actual revenues of the selected companies and gives recommendations for managers and investors in decision making.

  DOI: https://doi.org/10.31817/tckhnnvn.2014.12.2.