November 16, 2024
Fazlollah Lak

Fazlollah Lak

Academic Rank: Associate professor
Address:
Degree: Ph.D in Statistics
Phone: 077
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Bayesian Unit Root Testing in Unobserved-ARCH Models
Type Article
Keywords
Journal COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
DOI
Researchers Fazlollah Lak (First researcher)

Abstract

This article uses a Bayesian unit-root test in Unobserved-ARCH models. This time series of interest is the volatility that is unobservable. The unit root testing is based on the posterior odds ratio, which is approximated by Markov Chain Monte Carlo methods. Simulations show that the testing procedure is efficient for moderate sample size. The unit-root hypothesis is rejected in the daily exchange rate of the Germany marc (DEM) with respect to the Greek Drachma.