Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia
This study aims to carry out risk management planning, identification, qualitative analysis and quantitative risk calculations, establishing counterparty credit limits on banks in Indonesia. The risk identification process utilize 59 expert views from the field of financial institution banks in Indo...
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| Format: | Article |
| Language: | English |
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Research Center and Case Clearing House, Sekolah Tinggi Manajemen PPM
2021-06-01
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| Series: | Journal of Management and Business Review |
| Subjects: | |
| Online Access: | https://jmbr.ppm-school.ac.id/index.php/jmbr/article/view/274 |
| _version_ | 1797963331502342144 |
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| author | Saur Costanius Simamora |
| author_facet | Saur Costanius Simamora |
| author_sort | Saur Costanius Simamora |
| collection | DOAJ |
| description | This study aims to carry out risk management planning, identification, qualitative analysis and quantitative risk calculations, establishing counterparty credit limits on banks in Indonesia. The risk identification process utilize 59 expert views from the field of financial institution banks in Indonesia. Subsequently the qualitative analysis stage employ the two dimension rating schemes method, namely probability and impact. Each included risk is measured in the Low, Medium and High category. The identification process resulted in 18 risks that are facing banks in Indonesia. From that risks, the quantitative analysis using Probability - Impact dimension shows that in the Low - Medium quadrant there is 1 risk. In the Medium - Medium quadrant there are 3 risks. In the Medium-High quadrant there are 8 risks. While the High - High quadrant resulted in 6 risks. The Delphi method output from the probability dimension, indicates the risk of error in analyzing the counterparty's financial performance (balance sheet analysis, cashflow, income statement, financial ratio) and not monitoring and recognizing sanctions or legal cases that occur to counterparties give a value of 2.29. While from the Impact dimension, the risk of error in analyzing the counterparty's financial performance (balance analysis, R / L report, financial ratio) give a value of 2.78. All of these results, the experts have reached convergence or consensus. |
| first_indexed | 2024-04-11T01:26:48Z |
| format | Article |
| id | doaj.art-0ca4f5ad022f4a9baca2313e46d87f67 |
| institution | Directory Open Access Journal |
| issn | 1829-8176 2503-0736 |
| language | English |
| last_indexed | 2024-04-11T01:26:48Z |
| publishDate | 2021-06-01 |
| publisher | Research Center and Case Clearing House, Sekolah Tinggi Manajemen PPM |
| record_format | Article |
| series | Journal of Management and Business Review |
| spelling | doaj.art-0ca4f5ad022f4a9baca2313e46d87f672023-01-03T10:10:30ZengResearch Center and Case Clearing House, Sekolah Tinggi Manajemen PPMJournal of Management and Business Review1829-81762503-07362021-06-0118220922210.34149/jmbr.v18i2.274144Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di IndonesiaSaur Costanius Simamora0Universitas Dirgantara Marsekal SuryadarmaThis study aims to carry out risk management planning, identification, qualitative analysis and quantitative risk calculations, establishing counterparty credit limits on banks in Indonesia. The risk identification process utilize 59 expert views from the field of financial institution banks in Indonesia. Subsequently the qualitative analysis stage employ the two dimension rating schemes method, namely probability and impact. Each included risk is measured in the Low, Medium and High category. The identification process resulted in 18 risks that are facing banks in Indonesia. From that risks, the quantitative analysis using Probability - Impact dimension shows that in the Low - Medium quadrant there is 1 risk. In the Medium - Medium quadrant there are 3 risks. In the Medium-High quadrant there are 8 risks. While the High - High quadrant resulted in 6 risks. The Delphi method output from the probability dimension, indicates the risk of error in analyzing the counterparty's financial performance (balance sheet analysis, cashflow, income statement, financial ratio) and not monitoring and recognizing sanctions or legal cases that occur to counterparties give a value of 2.29. While from the Impact dimension, the risk of error in analyzing the counterparty's financial performance (balance analysis, R / L report, financial ratio) give a value of 2.78. All of these results, the experts have reached convergence or consensus.https://jmbr.ppm-school.ac.id/index.php/jmbr/article/view/274credit riskexpert opinionrating schemescounterparty limitsdelphi method |
| spellingShingle | Saur Costanius Simamora Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia Journal of Management and Business Review credit risk expert opinion rating schemes counterparty limits delphi method |
| title | Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia |
| title_full | Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia |
| title_fullStr | Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia |
| title_full_unstemmed | Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia |
| title_short | Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia |
| title_sort | counterparty credit limit identifikasi pengukuran dan pemetaan risiko bank bank di indonesia |
| topic | credit risk expert opinion rating schemes counterparty limits delphi method |
| url | https://jmbr.ppm-school.ac.id/index.php/jmbr/article/view/274 |
| work_keys_str_mv | AT saurcostaniussimamora counterpartycreditlimitidentifikasipengukurandanpemetaanrisikobankbankdiindonesia |