Asian Journal of Research in Banking and Finance
  • Year: 2014
  • Volume: 4
  • Issue: 4

Stock Return Predictability in Iranian Stock Market: the Application of Multifactor and Autoregressive Models

  • Author:
  • Mohammad Rahimi, Aboulfazl Shahabadi
  • Total Page Count: 9
  • Page Number: 1 to 9

Faculty of Economics and Social Sciences, Bu-Ali Sina University, Hamedan, Iran

JEL Classification: G12; G14: G17

Abstract

The article examines whether the stock market is predictable, and provides evidence that several basic financial and economic factors have predictive power for the market excess return. The explanatory power of the Multifactor and Autoregressive (AR) models to the expected return of the Tehran Stock Exchange (TSE) compared with the monthly data from the 2002:01 to 2011:12. We find evidence that the predictability of Iranian stock market is at high level. The results shows that the multifactor model built with global stock market return, exchange rate and oil price factors perform considerably better than the pure autoregressive model.

Keywords

Predictability, Multifactor model, Autoregressive model, Iran