May 2, 2024
Mahmoud Afshari

Mahmoud Afshari

Academic Rank: Associate professor
Address: Mahmoud Afshari, Associate Professor. Department of Statistics, College of science Persian Gulf University, 7516913798, Iran E-mail:afshar.5050@gmail.com or afshar@pgu.ac.ir TEL:00989177125766
Degree: Ph.D in statistics
Phone: 07731223328
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title An Efficiency Bayesian Unit Root Test in Unobserved-ARCH Models
Type Article
Keywords
Journal COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
DOI
Researchers Fazlollah Lak (First researcher) , Mahmoud Afshari (Second researcher) ,

Abstract

This paper investigates the new prior distribution on the Unobserved-ARCH unit root test. Monte Carlo simulations show that the sample size is seriously e ective in eciency of Bayesian test. To improve the performance of Bayesian test for unit root we propose a new Bayesian test that is robust in the presence of stationary and nonstationary Unobserved-ARCH. The nite sample property of the proposed test statistic is evaluated using Monte Carlo studies. Applying the developed method, we test the policy of daily exchange rate of the German Marc with respect to the Greek Drachma.