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has been cited by the following article:

• TITLE: Which Model Performs Better While Forecasting Stock Market Volatility? Answer for Dhaka Stock Exchange (DSE)

  AUTHORS: S. M. Abdullah, Mohammod Akbar Kabir, Kawsar Jahan, Salina Siddiqua

  KEYWORDS: Stock Market, Volatility Forecasting, GARCH, EGARCH, Mean Equation

  JOURNAL NAME: Theoretical Economics Letters, Vol.8 No.14, October 26, 2018

  ABSTRACT: An efficient and well behaved capital market can be regarded as a prerequisite for the sustainable financial development for an economy. For making the stock market efficient and reducing uncertainty, volatility measure is necessary for the policy makers. The main objective of this paper is to examine relative ability of various models to forecast future volatility and to devise appropriate volatility model for capturing variability in stock returns of Dhaka Stock Exchange (DSE). By exploiting daily data spanning from 27th November, 2001 to 31st July, 2013, it was found that, from volatility persistency perspective MA(2)-GARCH(2, 1) is better due to both in sample and out of sample accuracy. In contrast, from capturing asymmetric effect perspective MA(2)-EGARCH(1, 3) is better. Thus, there was no clear winner and hence the decision should depend on the purpose of the concerned people.