Tags » Operational Risk

Model Operational Losses with Copula Regression

In the previous post (https://statcompute.wordpress.com/2017/06/29/model-operational-loss-directly-with-tweedie-glm), it has been explained why we should consider modeling operational losses for non-material UoMs directly with Tweedie models. However, for material UoMs with significant losses, it is still beneficial to model the frequency and the severity separately. 748 more words

Statistical Models

Model Operational Loss Directly with Tweedie GLM

In the development of operational loss forecasting models, the Frequency-Severity modeling approach, which the frequency and the severity of a Unit of Measure (UoM) are modeled separately, has been widely employed in the banking industry. 574 more words

Statistical Models

Using Tweedie Parameter to Identify Distributions

In the development of operational loss models, it is important to identify which distribution should be used to model operational risk measures, e.g. frequency and severity. 373 more words

Statistical Models

Double Poisson Regression in SAS

In the previous post (https://statcompute.wordpress.com/2016/11/27/more-about-flexible-frequency-models), I’ve shown how to estimate the double Poisson (DP) regression in R with the gamlss package. The hurdle of estimating DP regression is the calculation of a normalizing constant in the DP density function, which can be calculated either by the sum of an infinite series or by a closed form approximation. 285 more words

Statistical Models

Risk and you

Operational Risk Management is my core strength in my professional life.  What I always wonder – do I practise in my personal life or see people practising what I preach and practise in terms of operational risk in professional set-up.   91 more words

Operational Risk

SAS Macro Calculating Goodness-of-Fit Statistics for Quantile Regression

As shown by Fu and Wu in their presentation (https://www.casact.org/education/rpm/2010/handouts/CL1-Fu.pdf), the quantile regression is an appealing approach to model severity measures with high volatilities due to its statistical characteristics, including the robustness to extreme values and no distributional assumptions. 427 more words

Statistical Models

What is Risk Control Self Assessment?

RCSA (Risk Control Self Assessment) is an empowering method/process by which management and staff of all levels collectively identify and evaluate risks and associated controls. It is a technique that adds value by increasing an operating unit’s involvement in designing and maintaining control and risk systems as well as identifying risk exposures and determining corrective action. 882 more words

Risk Management