Monitoring and Backtesting Credit Risk Models || PD, LGD, EAD || Basel || Risk Management

Описание к видео Monitoring and Backtesting Credit Risk Models || PD, LGD, EAD || Basel || Risk Management

Credit risk models such as PD, LGD and EAD models are used in various areas of risk management in banks and financial institutions such as in

1- Loan acceptance
2- Provisioning
3- Capital Calculation
4- Pricing

Credit risk models should be monitored to assess if the models built in past are fit for use for the current year and the future years. Usually the models are monitored to know if they can be used for next 12 months .

If the models are not performing as per the expectation then they have to be redeveloped. It is also regulatory requirement these days to regularly (at least once a year) assess the model performance.

To learn credit risk modelling connect with us : [email protected]

To know more about the study the study packs visit : http://analyticuniversity.com/credit-...

Credit risk are also these days used by FinTech companies. Increased regulations are making it compulsory for the fintech companies to use these days in their day to day operation.


For Study Packs : http://analyticuniversity.com/
Complete Data Science Course : http://bit.ly/34Sucmb
Access All Coursera Plus courses @ $400 : https://bit.ly/2ZL51Dd
Discounted courses on Udemy (for $11): http://bit.ly/2LYU6hp
Free access to Skillshare: http://bit.ly/2thklJu

Coursera :
Data Science : http://bit.ly/37nABr6
Data Science Python : http://bit.ly/2ZK5oMm

Recommended Data Science Books on Amazon :
Python for Data Science: https://geni.us/PythonDataScience
R for Data Science : https://geni.us/DataScienceR
Machine Learning using Tensorflow: https://geni.us/MLinTensorflow
Data Science from Scratch: https://geni.us/DataSciencefromScratch
Python programming: https://geni.us/LearnPython
Artificial Inteligence: https://geni.us/LearnAI
Data Vizualization : https://geni.us/DataViz

20% discounts on below live courses : use coupon YOUTUBE20
Data Science Live Training :
AI and Tensorflow: http://bit.ly/2tOnOzA
Python : http://bit.ly/2QkH1QQ

Комментарии

Информация по комментариям в разработке