CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA

The implementation of Risk Management is very important for Banking Industry. Good implementation of Credit Risk, Market Risk, and Operational Risk is not only avoiding Banks from bankruptcy, but also giving better services to their customers. Bank Indonesia as regulators is also supported the i...

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Main Author: Setyaningrum, Anies
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/72698
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:72698
spelling id-itb.:726982023-05-23T11:39:08ZCREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA Setyaningrum, Anies Indonesia Final Project Credit Scoring Model, Credit Risk, Bank Bumiputera INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/72698 The implementation of Risk Management is very important for Banking Industry. Good implementation of Credit Risk, Market Risk, and Operational Risk is not only avoiding Banks from bankruptcy, but also giving better services to their customers. Bank Indonesia as regulators is also supported the implementation of Risk Management by releasing policies and regulations related to Risk Management. Bank Bumiputera is also considering risk management on their business activities. One of their vision is also concerning on the implementation of risk management. The changes of corporate strategy in Bank Bumiputera to be more aggressive on consumer market also demand improvement on the risk management implementation, especially on the credit risk management. This research tries to help Bank Bumiputera on the improvement in credit risk management by proposed Credit Scoring Model for Housing Loan. Credit Scoring Model in this research is involving ten indicators. Those indicators are Ratio Outstanding t Disposable Income, Employment Level, Number of Dependent, Total Monthly Income, Time in Current Employment, Age of Borrower, Type of Income, Collateral to Loan Ratio, Marital Status, and Type of Employment. From the discriminant analysis result, those ten indicators can predict correctly defaulters and non defaulters for 66.3% for selected groups and 63.8% for cross validated groups. From the credit scoring, this research can determine probability of default from borrowers and then determine risk profile of credit risk for Housing Loan in Bank Bumiputera. Probability of credit risk is in High risk level. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The implementation of Risk Management is very important for Banking Industry. Good implementation of Credit Risk, Market Risk, and Operational Risk is not only avoiding Banks from bankruptcy, but also giving better services to their customers. Bank Indonesia as regulators is also supported the implementation of Risk Management by releasing policies and regulations related to Risk Management. Bank Bumiputera is also considering risk management on their business activities. One of their vision is also concerning on the implementation of risk management. The changes of corporate strategy in Bank Bumiputera to be more aggressive on consumer market also demand improvement on the risk management implementation, especially on the credit risk management. This research tries to help Bank Bumiputera on the improvement in credit risk management by proposed Credit Scoring Model for Housing Loan. Credit Scoring Model in this research is involving ten indicators. Those indicators are Ratio Outstanding t Disposable Income, Employment Level, Number of Dependent, Total Monthly Income, Time in Current Employment, Age of Borrower, Type of Income, Collateral to Loan Ratio, Marital Status, and Type of Employment. From the discriminant analysis result, those ten indicators can predict correctly defaulters and non defaulters for 66.3% for selected groups and 63.8% for cross validated groups. From the credit scoring, this research can determine probability of default from borrowers and then determine risk profile of credit risk for Housing Loan in Bank Bumiputera. Probability of credit risk is in High risk level.
format Final Project
author Setyaningrum, Anies
spellingShingle Setyaningrum, Anies
CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA
author_facet Setyaningrum, Anies
author_sort Setyaningrum, Anies
title CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA
title_short CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA
title_full CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA
title_fullStr CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA
title_full_unstemmed CREDIT SCORING MODELS FOR CREDIT RISK MANAGEMENTIN BANK BUMIPUTERA
title_sort credit scoring models for credit risk managementin bank bumiputera
url https://digilib.itb.ac.id/gdl/view/72698
_version_ 1822992668425191424