EconPapers    
Economics at your fingertips  
 

Efficiency classification among MENA region stock markets indexes: insights from multifractal spectrum and MSM forecasts

Monia Antar

International Journal of Business and Emerging Markets, 2022, vol. 14, issue 2, 189-212

Abstract: This paper proposes an efficiency ranking of the stock-market indexes in the MENA region based on the scale-invariant characteristics of stock returns. The methodology involves the computation of the multifractal spectrum width. This study also estimates a Markov switching multifractal (MSM) model and uses it to forecast stock-return volatility. The value of the loss function associated with the volatility forecasts provides an alternative metric to gauge the efficiency of the stock market. It was found that the ranking based on the MSM model forecasts shows some inconsistencies with that based on the spectrum width, suggesting that the MSM model does not perform as well in predicting stock-market volatility in emerging markets as it does in developed countries.

Keywords: multifractal spectrum width; efficiency; volatility prediction; Markov switching multifractal; MSM simulation; MENA emerging markets. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=121899 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbema:v:14:y:2022:i:2:p:189-212

Access Statistics for this article

More articles in International Journal of Business and Emerging Markets from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijbema:v:14:y:2022:i:2:p:189-212