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The Analysis of Financial Banks in Libya and Their Role in Providing Liquidity

Journal of Economic Education · Vol. 10 No. 1 (2021) · pp. 1–13

DOI
10.15294/jeec.v9i2.40553
ISSN
2301-7341
Published
2021-06-07
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

A commercial bank is a type of financial institution that accepts deposits, offers checking account services, makes various loans, and offers basic financial products like certificates of deposit (CD) and savings accounts to individuals and small businesses. Liquidity is the ability of banks to meet their debt obligations, can repay all depositors, and can meet credit requests submitted by debtors without a deferment. This shows that there are several factors and indicators that affect liquidity in banks in libya such as ROA, ROE, NPL, CAR and Bank Size. By analyzing commercial banks, it will be known the factors that most influence their liquidity. The aim of this research is to the analysis of financial banks in libya and their role in providing liquidity. This research will used quantitative research. Data collection method in this research is documentation with secondary data since year 2012-2019. The hypothesis test in this study is done by using Panel Regression analysis and ANOVA. Analysis results analysis of financial banks in libya and their role in providing liquidity is showed analysis compare common effect models with fixed effect models also Lagrange Multiplier Test the best estimation method is the Common Effect. R Square (R2) value is equal to 0.917. The magnitude of the R Square determination coefficient number is 0.917 or equal to 91.7%. This number means that the ROA, ROE, NPL, CAR, and SIZE variables together to influence the Providing Liquidity variables. While the remaining (100%-91.7% = 8.3%) are influenced by other variables outside this regression equation or variables not examined. The F test is 0.000, because sig. 0.000 < 0.05, then the basis of the providing liquidiy in the F test can be concluded that ROA, ROE, NPL, CAR, and SIZE have an effect on commercial bank in Libya, which means significant. Thus, the R coefficient value in the multiple linear regression analysis has been fulfilled. Based on the analysis data, the result showed that there analysis of financial banks in libya and their role in providing liquidity and influenced by other variables outside this regression equation or variables not examined. Suggestions for future research is to add another variables that analysis of financial commercial banks.

Collaboration network of the authors

40 authors · 93 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Media Nusantara Citra
  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rusdarti RusdartiAffiliation unknown5
P. Eko PrasetyoAffiliation unknown2
Amin PujiatiAffiliation unknown2
Shanty OktaviliaAffiliation unknown1
Dwi Tri Mega RahayuAffiliation unknown1
Sucihatiningsih Dian Wisika PrajantiState University of Semarang1
Dini Mellinda KrisnawatiAffiliation unknown1
Ahmad Syahrul FauziAffiliation unknown1
Luthfi Ibnu TsaniAffiliation unknown1
Rasyad Nu'manAffiliation unknown1
Duyu FurohmahAffiliation unknown1
Triyani LestariAffiliation unknown1
Nurjannah Rahayu KistantiAffiliation unknown1
Muhammad Roy Joni IskandarAffiliation unknown1
Dina Hernita LestariAffiliation unknown1
Regina LulufaniAffiliation unknown1
Audina Rizka NoormalitasariAffiliation unknown1
Sefria ElinaAffiliation unknown1
Annisa ShofuraAffiliation unknown1
Dyah Maya NihayahAffiliation unknown1
Dwi RahmayaniAffiliation unknown1
Avi Budi SetiawanAffiliation unknown1
Muhammad KhafidAffiliation unknown1
Raras Sukma PertiwiAffiliation unknown1
Agus WahyudinAffiliation unknown1
Slamet FauzanAffiliation unknown1
Achyarnis Lilik AndrietyaAffiliation unknown1
Septi Kusuma PutriAffiliation unknown1
Muhsin MuhsinAffiliation unknown1
Sutijah SutijahAffiliation unknown1
Arief YuliantoUniversitas Media Nusantara Citra1
Benedictus Singgih PrasetyoAffiliation unknown1
Wahyono WahyonoUniversitas Gadjah Mada1
Mugiono MugionoAffiliation unknown1
Etty SoesilowatiAffiliation unknown1
Lempira Christy ElishaAffiliation unknown1
Suci NurhayatiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/jeec/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">The Analysis of Financial Banks in Libya and Their Role in Providing Liquidity</dc:title>
	<dc:creator>Saeeid Mohammad, Sami</dc:creator>
	<dc:creator>Dian Wisika Prajanti, Sucihatiningsih</dc:creator>
	<dc:creator>Setyadharma, Andryan</dc:creator>
	<dc:description xml:lang="en-US">A commercial bank is a type of financial institution that accepts deposits, offers checking account services, makes various loans, and offers basic financial products like certificates of deposit (CD) and savings accounts to individuals and small businesses. Liquidity is the ability of banks to meet their debt obligations, can repay all depositors, and can meet credit requests submitted by debtors without a deferment. This shows that there are several factors and indicators that affect liquidity in banks in libya such as ROA, ROE, NPL, CAR and Bank Size. By analyzing commercial banks, it will be known the factors that most influence their liquidity. The aim of this research is to the analysis of financial banks in libya and their role in providing liquidity. This research will used quantitative research.&amp;nbsp; Data collection method in this research is documentation with secondary data since year 2012-2019. The hypothesis test in this study is done by using Panel Regression analysis and ANOVA. Analysis results analysis of financial banks in libya and their role in providing liquidity is showed analysis compare common effect models with fixed effect models also Lagrange Multiplier Test the best estimation method is the Common Effect. R Square (R2) value is equal to 0.917. The magnitude of the R Square determination coefficient number is 0.917 or equal to 91.7%. This number means that the ROA, ROE, NPL, CAR, and SIZE variables together to influence the Providing Liquidity variables. While the remaining (100%-91.7% = 8.3%) are influenced by other variables outside this regression equation or variables not examined. The F test is 0.000, because sig. 0.000 &amp;lt; 0.05, then the basis of the providing liquidiy in the F test can be concluded that ROA, ROE, NPL, CAR, and SIZE have an effect on commercial bank in Libya, which means significant. Thus, the R coefficient value in the multiple linear regression analysis has been fulfilled. Based on the analysis data, the result showed that there analysis of financial banks in libya and their role in providing liquidity and influenced by other variables outside this regression equation or variables not examined. Suggestions for future research is to add another variables that analysis of financial commercial banks.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2021-06-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/jeec/article/view/40553</dc:identifier>
	<dc:identifier>10.15294/jeec.v9i2.40553</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Economic Education; Vol 10 No 1 (2021): June 2021; 1-13</dc:source>
	<dc:source>2301-7341</dc:source>
	<dc:source>10.15294/jeec.v10i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/jeec/article/view/40553/16794</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Journal of Economic Education</dc:rights>
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