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2015 R.O.O.K.I.E. of the Year

Taken from THE Real Estate Book Volume 24, Issue 12

“KRISTEN LONG was recently honored as the 2015 Champaign County Association of Realtors R.O.O.K.I.E. of the Year. 159 more words

Prediction Intervals for Poisson Regression

Different from the confidence interval that is to address the uncertainty related to the conditional mean, the prediction interval is to accommodate the additional uncertainty associated with prediction errors. 696 more words

Statistical Models

Calculate Leave-One-Out Prediction for GLM

In the model development, the “leave-one-out” prediction is a way of cross-validation, calculated as below:
1. First of all, after a model is developed, each observation used in the model development is removed in turn and then the model is refitted with the remaining observations… 198 more words

Statistical Models

Download Federal Reserve Economic Data (FRED) with Python

In the operational loss calculation, it is important to use CPI (Consumer Price Index) adjusting historical losses. Below is an example showing how to download CPI data online directly from Federal Reserve Bank of St. 269 more words

S+/R

Modeling Frequency in Operational Losses with Python

Poisson and Negative Binomial regressions are two popular approaches to model frequency measures in the operational loss and can be implemented in Python with the statsmodels package as below: 511 more words

Statistical Models

Modeling Severity in Operational Losses with Python

When modeling severity measurements in the operational loss with Generalized Linear Models, we might have a couple choices based on different distributional assumptions, including Gamma, Inverse Gaussian, and Lognormal. 633 more words

Statistical Models