Advanced search
Publication Cover
Investment Analysts Journal Volume 48, 2019 - Issue 2
Submit an article Journal homepage
321
Views
10
CrossRef citations to date
0
Altmetric
Articles

A new sentiment index for the Islamic stock market

Muhammad Asif KhanFaculty of Business and Accountancy, University of Malaya, Kuala Lumpur, Malaysia
,
Rubi AhmadFaculty of Business and Accountancy, University of Malaya, Kuala Lumpur, Malaysia
,
Anna AzmiFaculty of Business and Accountancy, University of Malaya, Kuala Lumpur, MalaysiaCorrespondence[email protected]
&
Muhammad AkbarBirmingham City Business School, Birmingham City University, Birmingham, UK
Pages 146-172 | Received 13 Feb 2019, Accepted 10 Jul 2019, Published online: 01 Aug 2019

Citations (10)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Gülfen Tuna. (2022) Predicting financial market returns in the presence of health crisis: evidence from conventional and Islamic stock markets. Economic Research-Ekonomska Istraživanja 35:1, pages 1786-1806.
Read now
Li Zi-long, Wang Su-sheng & Hu Ming-zhu. (2021) International investor sentiment and stock returns: Evidence from China. Investment Analysts Journal 50:1, pages 60-76.
Read now

Articles from other publishers (8)

Abu Hanifa Md Noman, Muhammad Mahmudul Karim, Mohammad Kabir Hassan, Muhammad Asif Khan & Sajeda Pervin. (2023) COVID-19 pandemic and the dynamics of major investable assets: What gives shelter to investors?. International Review of Economics & Finance 86, pages 14-30.
Crossref
M. Rahila Begam, Manivannan Babu & M. M. Sulphey. (2023) Development and Validation of an Islamic Investor’s Sentiment Scale for Stock Market Investment. Business Perspectives and Research, pages 227853372211488.
Crossref
Sanjay Gupta, Nidhi Walia, Simarjeet Singh & Swati Gupta. (2022) A systematic literature review and bibliometric analysis of noise trading. Qualitative Research in Financial Markets 15:1, pages 190-215.
Crossref
Muhammad Asif Khan, Farhad Khan, Arshian Sharif & Muhammad Tahir Suleman. (2023) Dynamic linkages between Islamic equity indices, oil prices, gold prices, and news-based uncertainty: New insights from partial and multiple wavelet coherence. Resources Policy 80, pages 103213.
Crossref
Yunpeng Sun, Haoning Li & Yuning Cao. (2022) Effects of COVID-Induced Public Anxiety on European Stock Markets: Evidence From a Fear-Based Algorithmic Trading System. Frontiers in Psychology 12.
Crossref
Hashem A. AlNemer, Besma Hkiri & Muhammed Asif Khan. (2021) Time-Varying Nexus between Investor Sentiment and Cryptocurrency Market: New Insights from a Wavelet Coherence Framework. Journal of Risk and Financial Management 14:6, pages 275.
Crossref
Muhammad Asif Khan, Jose Arreola Hernandez & Syed Jawad Hussain Shahzad. (2020) Time and frequency relationship between household investors’ sentiment index and US industry stock returns. Finance Research Letters 36, pages 101318.
Crossref
Nabila Jawadi, Fredj Jawadi & Abdoulkarim Idi Cheffou. (2020) Computing the Time-Varying Effects of Investor Attention in Islamic Stock Returns. Computational Economics 56:1, pages 131-143.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.