Bayesian prediction of the stock price rate in the iraq stock market based on the symmetric heavy tails regression model

HIGHLIGHTS

• What: The authors investigate the estimation generalized modified Bessel regression model by using the Bayesian techniques under the assumption that the scale parameter and shape parameters are known. Through the study shows that the explanatory variables are the most important influence on the stock price rate variables through variance inflation factor the estimated model was appropriate for the data studied.
• Who: goold from the Depof, (EP.S.) College, University Al, Hamdaniya, Iraq. have published the Article: (TITLE), in the Journal: (JOURNAL)
• How: The research covered several sections where the first section was a . . .
  

   

  

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