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Islamic Finance and Anchoring Heuristic Bias: An Analysis to Gulf Islamic Stock Markets

Author

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  • Mustapha Chaffai

    (University of Sfax)

  • Imed Medhioub

    (Imam Muhammad Ibn Saud Islamic University (IMSIU))

Abstract

This study explores the importance of the 52-week high price in the Islamic GCC stock market returns. We study the anchoring bias of Muslim investors and the important role of the 52-week high price strategy in predicting future returns in the Islamic GCC stock market returns based on new information. For doing this, we have collected data of Islamic GCC companies listed on all sectors of Islamic GCC stock market. Two methods are employed in this paper. The first, interested to the stock price behavior and by using linear regression models, empirical results show that 52- week high price indicator can be considered as a good anchor which used for the prediction of future returns based on new information. The second analysis is interested to anchoring bias in analysts' forecasts. By using variables related to earning per share (EPS) and EPS forecast we conclude that analysts on the GCC market make biased estimates and they tend to anchor to the historical and industry norms. We obtain a negative impact of POSITIVE variable on error forecast indicating then that analysts are more pessimist

Suggested Citation

  • Mustapha Chaffai & Imed Medhioub, 2020. "Islamic Finance and Anchoring Heuristic Bias: An Analysis to Gulf Islamic Stock Markets," Working Papers 1422, Economic Research Forum, revised 20 Nov 2020.
  • Handle: RePEc:erg:wpaper:1422
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    Cited by:

    1. Neenu Chalissery & Mosab I. Tabash & T. Mohamed Nishad & Ibtehal M. Aburezeq & Linda Nalini Daniel, 2023. "Does the Investor’s Trading Experience Reduce Susceptibility to Heuristic-Driven Biases? The Moderating Role of Personality Traits," JRFM, MDPI, vol. 16(7), pages 1-21, July.

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