Artikel

New Islamic equity style indices: Constructing and testing the efficacy of information transmission

The non-existence of commercially available Islamic Equity Style Indices from index providers such as MSCI especially on small value and small growth stocks motivates us to construct our new indices. Firstly, various index construction methods are compared. Secondly, this paper describes in detail the process of index construction and finally, the new indices are tested using out-of-sample forecast and trading strategies. Notably, our results show Large Growth (LG) and Large Value (LV) indices have more efficacy compared to Small Growth (SG) and Small Value (SV) stocks. From the perspective of Islamic financial market, the creation of Islamic equity style index enables new strategies which focus on size, value, and smart beta. In addition, the out-of-sample VAR forecast indicates that LG and LV indices are the best candidates for creating a new benchmark for portfolio diversification. Furthermore, by applying simple trading strategies and selecting Islamic value and small market capitalization stocks, our evidence shows that Islamic equity style indices have benefits for investors and fund managers. To the best of authors' knowledge, this paper is the first attempt to create non-commercially available Islamic equity style indices.

Sprache
Englisch

Erschienen in
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 5 ; Year: 2017 ; Issue: 1 ; Pages: 1-19 ; Abingdon: Taylor & Francis

Klassifikation
Wirtschaft
Thema
Islamic capital markets
stock market index
equity style index
information transmission
vector autoregression

Ereignis
Geistige Schöpfung
(wer)
Shaharuddin, Shahrin Saaid
Lau, Wee-Yeap
Ahmad, Rubi
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
Abingdon
(wann)
2017

DOI
doi:10.1080/23322039.2017.1363355
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Shaharuddin, Shahrin Saaid
  • Lau, Wee-Yeap
  • Ahmad, Rubi
  • Taylor & Francis

Entstanden

  • 2017

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