The Determinants of Private Banks’ Liquidity in Syria During the Syrian Crisis
Abstract
Although the banking sector is at the core of any nation's economy, it is very vulnerable to crises and macro-economic shocks. While many banking indicators could be affected by crises, liquidity in particular requires special attention due to its sensitivity to the changes in macro-variables. This research aims to identify the liquidity determinants of the Syrian private banks during the country’s crisis. The analysis is carried out on quarterly basis during the most severe period of the crisis between 2011 and 2018 using fixed effects estimator on panel data for all of the 14 Syrian private banks. The research considers bank-specific variables calculated from the interim and annual published financial reports of all Syrian private banks, as well as a variable for the Syrian crisis measured by the following macro-factors: the Syrian Pound exchange rates against U.S. Dollar during the studied period, the number of Syrians who fled the country as refugees or asylum seekers, and the number of crisis-related casualties. Using Loans to Assets (LTA) as the dependent variable, the research results found that bank capital, deposits, bank size, funding cost, and asset quality have a significant positive effect on liquidity at 1%, while profitability has a significant negative effect on liquidity at 1%. Furthermore, the macro-variable of the Syrian crisis has a significant positive effect on liquidity at 5%. The results of this paper shed a light on liquidity determinants during crisis times which is very important to the policymakers, supervisory authorities and bank managers to take proper and timely decisions regarding liquidity in crisis periods.
References
Bayz, H. A. (2018). Determinants of Liquidity of the US Banks: Evidence with the Framework of 2008 Financial Crisis. Master’s Thesis, Near East University, Graduate School of Social Sciences, Department of Banking And Finance, Banking and Accounting Program, Nicosia, http://docs.neu.edu.tr/library/6715092753.pdf.
Calson-Öhman, F. (2018). The Effect of Increased E-Commerce on Inflation. Master’s Essay, Södertörns högskola – Institution for Social Sciences, Stockholm. https://sh.diva-portal.org/smash/get/diva2:1214628/FULLTEXT01.pdf.
Cucinelli, D. (2013). The Determinants of Bank Liquidity Risk within the Context of Euro Area. Interdisciplinary Journal of Research in Business, 2(10), 51- 64.
Dacrema, E., & Talbot, V. (2019). Rebuilding Syria: The Middle East’s Next Power Game? Ledizioni LediPublishing, ISPI, Milano, Italy.
https://www.ispionline.it/sites/default/files/pubblicazioni/ispi_report_rebuilding_syria_2019.pdf.
Devadas, S., Elbadawi, I., & Loayza,V. N. (2019). Growth after War in Syria. Policy Research Working Paper 8967, World Bank Group, August 2019.
https://documents1.worldbank.org/curated/en/424551565105634645/pdf/Growth-after-War-in-Syria.pdf
European Union Data and Statistics. (2021). An official website of the European Union https://ec.europa.eu/.
Galdo, A. (2004). Policies for business in the Mediterranean Countries: The Syrian Arab Republic. Centre for Administrative Innovation in the Euro-Mediterranean Region (C.A.I.MED.), Formez - Centro Formazione, Italy.
Hassani, A. (2015). The Evolution of the Syrian Pound Exchange Rate and its Relationship with Consumer Price Index during the Crisis. Damascus University Journal for Economic and Legal Sciences, 31(2), 207-236.
Horvath, R., Seidler, J., & Weill, L. (2012). Bank Capital and Liquidity Creation: Granger-Causality Evidence. Working Paper Series No. 1497 European Central Bank, Germany, November 2012.
https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1497.pdf.
Iqbal, A. (2012). Liquidity Risk Management: A Comparative Study between Conventional and Islamic Banks of Pakistan. Global Journal of Management and Business Research, 12(5), 54-64.
https://globaljournals.org/GJMBR_Volume12/6-Liquidity-Risk-Management.pdf.
Khalil, R. A. (2019). The Mediating Role of Institutional Factor on the Relationship between Entrepreneurship and Economic Growth. PhD Thesis, Department of Economics Faculty of Business Administration, Beirut Arab University.
Mohamad, A. (2016). Determinants of Banks Liquidity: Empirical Evidence on Turkish Banks. Master's thesis submitted to the Institute of Graduate Studies and Research, Eastern Mediterranean University, Gazimağusa, North Cyprus, June 2016.
http://i-rep.emu.edu.tr:8080/xmlui/bitstream/handle/11129/3424/mohamadamer.pdf?sequence=1.
Roman, A., & Sargu, A. C. (2015). The Impact of Bank-Specific Factors on the Commercial Banks Liquidity: Empirical Evidence from CEE Countries. Procedia Economics and Finance 20 (2015), 571 – 579. https://core.ac.uk/download/pdf/82745913.pdf
Rose, P. S., & Hudgins, S. C. (2008). Bank Management and Financial Services, Seventh Edition. The McGraw−Hill Companies, New York, NY.
Sayedahmed, M. Y. (2018). Determinants of Banks Liquidity "An Empirical Study of Banks Working in Palestine". Master's thesis, the Faculty of Commerce, the Islamic University of Gaza.
https://library.iugaza.edu.ps/thesis/124906.pdf.
Seeberg, P. (2017). Costs of war; The Syrian Crisis and the Economic Consequences for Syria and its Neighbours. News Analysis, Videnscenter om det moderne Mellemøsten, Denmark. https://findresearcher.sdu.dk/ws/portalfiles/portal/134179716/Seeberg_article_December_17.pdf.
Singhn, A., & Sharma, A. K. (2016). An Empirical Analysis of Macroeconomic and Bank-specific Factors Affecting Liquidity of Indian Banks. Future Business Journal, 2(1), 40–53, https://doi.org/10.1016/j.fbj.2016.01.001.
Syrian Pound Today. (2021). Website https://sp-today.com/.
The Syrian Economic Center. (2007). Prospective of the Syrian Banking Sector. Report issued by the Syrian Economic Center, Damascus.
The Syrian Observatory for Human Watch. (2021). Official website www.syriahr.com.
United Nations High Commissioner for Refugees UNHCR. (2021). Official website https://www.unhcr.org/.
Vodová, P. (2011). Determinants of Commercial Bank's Liquidity in Slovakia. Czech Science Foundation (Project GACR P403/11/P243).
http://www.opf.slu.cz/kfi/icfb/proc2011/pdf/65_vodova.pdf.
Vodová, P. (2011). Determinants of Commercial Banks' Liquidity in the Czech Republic. Recent Researches in Applied and Computational Mathematics, 92-97.
https://www.researchgate.net/publication/228432554_Determinants_of_commercial_banks'_liquidity_in_the_Czech_Republic.
Vodová, P. (2014). Commercial Banks from the Visegrad Countries and their Sensitivity to Crisis Confidence on the Interbank Market. Procedia Economics and Finance 14 (2014), 650-659. https://www.sciencedirect.com/science/article/pii/S2212567114007540.
Yeboah, M. (2020). Assessing the impacts of IFRS Adoption on Capital Structure, Corporate and Macroeconomic Performances in the Republic of South Africa. PhD thesis, Doctoral School of Business Administration, University of Pecs.https:// pea.lib.pte.hu/bitstream/handle/pea/24116/michael-yeboah-phd-2020.pdf?sequence=1&isAllowed=y.
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