Exponentially weighted moving average (EWMA) model, which is a straight-forward moving average method in market risk, could memorize the finite market movements and address the relationship among multiple asset prices. Comparing with other multivariat…
Category: SAS
Using Proc IML to deploy EWMA model for market risk
Exponentially weighted moving average (EWMA) model, which is a straight-forward moving average method in market risk, could memorize the finite market movements and address the relationship among multiple asset prices. Comparing with other multivariat…
Starting Over
Today is my last day weekday without a boss! I’ve throughly enjoyed the last two weeks of being temporarily unemployed but I’m ready to get back to work. I’m slightly nervous about the new position as I have no insiders at the new company. In the past, I’ve always known somebody on the inside and […]
Accounting for Annonimization noise in Binary Target variable (Nlmixed)
I usually am emphatic that the best way to improve model quality is to GET BETTER DATA!. However, Yesterday I used advanced statistics (well advanced for the business world I am in) to address a data quality issue. The situation arises due to restric…
Accounting for Annonimization noise in Binary Target variable (Nlmixed)
I usually am emphatic that the best way to improve model quality is to GET BETTER DATA!. However, Yesterday I used advanced statistics (well advanced for the business world I am in) to address a data quality issue. The situation arises due to restric…
Accounting for Annonimization noise in Binary Target variable (Nlmixed)
I usually am emphatic that the best way to improve model quality is to GET BETTER DATA!. However, Yesterday I used advanced statistics (well advanced for the business world I am in) to address a data quality issue. The situation arises due to restric…
Favourite Platform Admin Papers from SAS Global Forum 2011
These are some of my favourite papers from SAS Global Forum 2011. As a platform administrator and metadata fan I am obviously biased to a specific subset of papers. I’m sure there were many other great papers at the conference, but these are the ones that I liked the most based on my own interests. […]
Bootstrap prediction models for probability of default
Not like consumer credit scoring, corporate default study is usually jeopardized by the low-n-low-p data sizes. In the fourth chapter of their book, Gunter and Peter, demonstrated an example about how to construct prediction models for IDR (invesment g…