Journal
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
- 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-author | Organisation | Joint articles |
|---|---|---|
| Rusdarti Rusdarti | Affiliation unknown | 5 |
| P. Eko Prasetyo | Affiliation unknown | 2 |
| Amin Pujiati | Affiliation unknown | 2 |
| Shanty Oktavilia | Affiliation unknown | 1 |
| Dwi Tri Mega Rahayu | Affiliation unknown | 1 |
| Sucihatiningsih Dian Wisika Prajanti | State University of Semarang | 1 |
| Dini Mellinda Krisnawati | Affiliation unknown | 1 |
| Ahmad Syahrul Fauzi | Affiliation unknown | 1 |
| Luthfi Ibnu Tsani | Affiliation unknown | 1 |
| Rasyad Nu'man | Affiliation unknown | 1 |
| Duyu Furohmah | Affiliation unknown | 1 |
| Triyani Lestari | Affiliation unknown | 1 |
| Nurjannah Rahayu Kistanti | Affiliation unknown | 1 |
| Muhammad Roy Joni Iskandar | Affiliation unknown | 1 |
| Dina Hernita Lestari | Affiliation unknown | 1 |
| Regina Lulufani | Affiliation unknown | 1 |
| Audina Rizka Noormalitasari | Affiliation unknown | 1 |
| Sefria Elina | Affiliation unknown | 1 |
| Annisa Shofura | Affiliation unknown | 1 |
| Dyah Maya Nihayah | Affiliation unknown | 1 |
| Dwi Rahmayani | Affiliation unknown | 1 |
| Avi Budi Setiawan | Affiliation unknown | 1 |
| Muhammad Khafid | Affiliation unknown | 1 |
| Raras Sukma Pertiwi | Affiliation unknown | 1 |
| Agus Wahyudin | Affiliation unknown | 1 |
| Slamet Fauzan | Affiliation unknown | 1 |
| Achyarnis Lilik Andrietya | Affiliation unknown | 1 |
| Septi Kusuma Putri | Affiliation unknown | 1 |
| Muhsin Muhsin | Affiliation unknown | 1 |
| Sutijah Sutijah | Affiliation unknown | 1 |
| Arief Yulianto | Universitas Media Nusantara Citra | 1 |
| Benedictus Singgih Prasetyo | Affiliation unknown | 1 |
| Wahyono Wahyono | Universitas Gadjah Mada | 1 |
| Mugiono Mugiono | Affiliation unknown | 1 |
| Etty Soesilowati | Affiliation unknown | 1 |
| Lempira Christy Elisha | Affiliation unknown | 1 |
| Suci Nurhayati | Affiliation unknown | 1 |
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.