Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching

Adnen Ben Nasr (), Thomas Lux (), Ahdi Noomen Ajmi and Rangan Gupta
Additional contact information
Thomas Lux: Department of Economics, University of Kiel, Germany and Banco de Espana Chair in Computational Economics, University Jaume I, Castellon, Spain

No 201412, Working Papers from University of Pretoria, Department of Economics

Abstract: The financial crisis has fueled interest in alternatives to traditional asset classes that might be less affected by large market gyrations and, thus, provide for a less volatile development of a portfolio. One attempt at selecting stocks that are less prone to extreme risks, is obeyance of Islamic Sharia rules. In this light, we investigate the statistical properties of the Dow Jones Islamic Finance (DJIM) index and explore its volatility dynamics using a number of up-to-date statistical models allowing for long memory and regime-switching dynamics. We find that the DJIM shares all stylized facts of traditional asset classes, and estimation results and forecasting performance for various volatility models are also in line with prevalent ndings in the literature. Overall, the relatively new Markov-switching multifractal model performs best under the majority of time horizons and loss criteria. Long memory GARCH-type models always improve upon the short-memory GARCH specification and additionally allowing for regime changes can further improve their performance.

Keywords: Islamic finance; volatility dynamics; long memory; multifractals (search for similar items in EconPapers)
JEL-codes: G15 G17 G23 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2014-03
New Economics Papers: this item is included in nep-fmk, nep-for, nep-ger and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching (2016)
Working Paper: Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching (2014)
Working Paper: Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching (2014)
Working Paper: Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching (2014)
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:pre:wpaper:201412

Access Statistics for this paper

More papers in Working Papers from University of Pretoria, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Rangan Gupta ().