IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v11y2019i9p12.html
   My bibliography  Save this article

The Interest in Islamic Finance Contracts in Saudi Arabia as Viewed by Google Trends

Author

Listed:
  • Wesal M. Aldarabseh

Abstract

Several Islamic contracts have been used by Islamic banks to cover the financial needs of their customers. The contracts include Murabahah, Ijarah, Tawarruq, Mudarabah, Musharakah, Salam, and Istisna'. In the current study, the interest in Islamic financial contracts in the past 5 years (2014-2019) in Saudi Arabia as viewed by Google trends was examined. The interest in Murabahah showed increases with the years, whereas decreases in the interest of Tawarruq, Salam Mudarabah were observed in the last years. However, the interest in Ijarah and Istisna' was stable during the examined period. With respect to Musharakah, the interest decreased with years until 2017 then it showed slight increases in 2018 and 2019. Differences in the interest of financial contracts were also observed across different regions of Saudi Arabia. The interest in Ijarah, Tawarruq and Istisna’ was higher in Riyadh, whereas the interest in Murabahah and Musharakah was higher in Ha’il than other Saudi regions The present findings can be used by Islamic banks to shape their financing services according to observed interest trends and across different regions of Saudi Arabia.

Suggested Citation

  • Wesal M. Aldarabseh, 2019. "The Interest in Islamic Finance Contracts in Saudi Arabia as Viewed by Google Trends," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(9), pages 1-12, September.
    • Handle: RePEc:ibn:ijefaa:v:11:y:2019:i:9:p:12
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/download/0/0/40404/41583
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/view/0/40404
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eid Sharidah Musad Alanazi & Fayaz Ahmad Lone, 2016. "Social Satisfaction towards Islamic Banking in Saudi Arabia: A Survey," Asian Social Science, Canadian Center of Science and Education, vol. 12(1), pages 182-190, January.
    2. Waeibrorheem Waemustafa & Suriani Sukri, 2016. "Systematic and Unsystematic Risk Determinants of Liquidity Risk Between Islamic and Conventional Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1321-1327.
    3. Ayomi Dita Rarasati & Bambang Trigunarsyah & Eric Too, 2014. "The Opportunity for Implementing Islamic Project Financing to the Indonesian Infrastructure Development," Contemporary Studies in Economic and Financial Analysis, in: The Developing Role of Islamic Banking and Finance: From Local to Global Perspectives, volume 95, pages 103-116, Emerald Group Publishing Limited.
    4. Mirela Nichita & Meral Kagitci & Marcel Vulpoi, 2013. "Islamic Banking System. The Case Of The Kingdom Of Saudi Arabia," Romanian Economic Business Review, Romanian-American University, vol. 8(3.1), pages 211-226, September.
    5. Samir Srairi, 2010. "Cost and profit efficiency of conventional and Islamic banks in GCC countries," Journal of Productivity Analysis, Springer, vol. 34(1), pages 45-62, August.
    6. Bhzad Sidawi, 2014. "An evaluation of the performance of the housing finance system in the Kingdom of Saudi Arabia," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 7(2), pages 156-174, May.
    7. Shaikh, Salman Ahmed, 2011. "A critical analysis of Mudarabah & a new approach to equity financing in Islamic finance," MPRA Paper 19697, University Library of Munich, Germany.
    8. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    9. Alsayyed, Nidal, 2010. "The Uses and Misuses of Commodity Murabaha: Islamic Economic Perspective," MPRA Paper 20262, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mioara, POPESCU, 2015. "Construction Of Economic Indicators Using Internet Searches," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 6(1), pages 25-31.
    2. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    3. Tommaso Colussi & Ingo E. Isphording & Nico Pestel, 2021. "Minority Salience and Political Extremism," American Economic Journal: Applied Economics, American Economic Association, vol. 13(3), pages 237-271, July.
    4. David W Carter & Scott Crosson & Christopher Liese, 2015. "Nowcasting Intraseasonal Recreational Fishing Harvest with Internet Search Volume," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-18, September.
    5. David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    6. Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
    7. C. Douglas Swearingen & Joseph T. Ripberger, 2014. "Google Insights and U.S. Senate Elections: Does Search Traffic Provide a Valid Measure of Public Attention to Political Candidates?," Social Science Quarterly, Southwestern Social Science Association, vol. 95(3), pages 882-893, September.
    8. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    9. Neifar, Malika, 2020. "Interest-free versus Conventional banks- A Comparative Study using Linear and Nonlinear Panel Regression: Empirical Evidence from Turky and 6 MENA countries," MPRA Paper 101028, University Library of Munich, Germany.
    10. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
    11. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    12. Sansone, Dario, 2019. "Pink work: Same-sex marriage, employment and discrimination," Journal of Public Economics, Elsevier, vol. 180(C).
    13. Othaman, Ridhuan, 2017. "Performance and Size of Fraser & Neave Holdings Bhd (F&N)," MPRA Paper 78503, University Library of Munich, Germany.
    14. Pulkit Sharma & Achut Manandhar & Patrick Thomson & Jacob Katuva & Robert Hope & David A. Clifton, 2019. "Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    15. John M. Abowd & Ian M. Schmutte & William Sexton & Lars Vilhuber, 2019. "Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods," Papers 1906.09353, arXiv.org.
    16. Bentzen, Jeanet Sinding, 2021. "In crisis, we pray: Religiosity and the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 541-583.
    17. Jesse T. Richman & Ryan J. Roberts, 2023. "Assessing Spurious Correlations in Big Search Data," Forecasting, MDPI, vol. 5(1), pages 1-12, February.
    18. Christopher Hansman & Harrison Hong & Áureo de Paula & Vishal Singh, 2020. "A Sticky-Price View of Hoarding," NBER Working Papers 27051, National Bureau of Economic Research, Inc.
    19. Chung-Yi Lin & Shu-Yi Liaw & Chao-Chun Chen & Mao-Yuan Pai & Yuh-Min Chen, 2017. "A computer-based approach for analyzing consumer demands in electronic word-of-mouth," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 225-242, August.
    20. Jacques Bughin, 2015. "Google searches and twitter mood: nowcasting telecom sales performance," Netnomics, Springer, vol. 16(1), pages 87-105, August.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ijefaa:v:11:y:2019:i:9:p:12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.