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…
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…
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…
Automate univariate volatility modeling by macros
GARCH (generalized autoregressive conditional heteroscedasticity) models are widely used in market risk industry to estimate and forecast the volatility of returns. GARCH, including many variants like A-GARCH, GJR-GARCH and E-GARCH, is especially suit…
Automate univariate volatility modeling by macros
GARCH (generalized autoregressive conditional heteroscedasticity) models are widely used in market risk industry to estimate and forecast the volatility of returns. GARCH, including many variants like A-GARCH, GJR-GARCH and E-GARCH, is especially suit…