Z-measures for estimating the probability of bank insolvency
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Updated
Nov 18, 2017 - R
Z-measures for estimating the probability of bank insolvency
Woonghyeon's passion project repository
Welcome to the DSLA Residency, the DAO testbed of DSLA Protocol!
This project employs ML algorithms for risk management to accurately predict credit defaults.
Vigilante Vixen has learned that there were many security vulnerabilities from their technical, behavioral, law, and human resources aspects. Despite us not being directly involved in offshore financial services or the legal profession, technology roles have a considerable amount of opportunity to review this case and implement security regulations
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Taxonomy derived from APRA CPG 235 - Managing Data Risk (September 2013)
Portfolio project: Machine learning automation project for a lending company. Automated the calculation of fees that make each new transaction/customer profitable by predicting the expected financial loss based on probability of default, loss given default, and exposure at default risk models.
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This is the repo includes all files needed for credit card transaction fraud analytics project.
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This repository includes OWL-DL, and Corda-based domain-oriented security ontology CordaSecOnt for security risk management.
Add a description, image, and links to the risk-management topic page so that developers can more easily learn about it.
To associate your repository with the risk-management topic, visit your repo's landing page and select "manage topics."