Revolution Webinar: Successful Uses of R (along with SAS and Excel) in Banking: A Look at Mortgages, Loan Portfolios and Probabilities of Default
|Presented:||Thursday, October 13th, 2011|
|Presenter:||Hong Ooi, Ph.D., Statistician at Australia and New Zealand Banking Group (ANZ)|
|Click here to download the presentation slides and replay the webinar.|
Hong Ooi’s analysis supports bottom line-impacting decisions made a wide spectrum of groups at Australia and New Zealand Banking Group (ANZ). He has broad experience with both SAS and R, and depends on R for the bulk of his analysis. In this webinar, he will discuss his challenges, how he’s using R along with SAS and Excel to overcome them in areas such as:
- Fitting models for mortgage loss given default,
- Monte Carlo application for stress-testing loan portfolios (in combination with SAS and Excel, which was used to enable access to the model for business users),
- Framework for calculating through-the-[economic]-cycle probabilities of default.
Hong will share some of the clever ways he’s using R to achieve innovation and improved performance. He will also talk about some of the challenges involved in getting R accepted in a conservative financial institution workplace.
Hong Ooi, PhD, Statistician at Australia and New Zealand Banking Group (ANZ). Hong was previously a quantitative Analyst at St. George Bank and a Senior Research Analyst at IAG. He is a frequent contributor to the Melbourne R User’s Group.