Transcription of Developing Credit Risk Models Using SAS® …
{{id}} {{{paragraph}}}
Example: dental hygienist
Developing Credit Risk Models Using SAS® …
Iain L. J. Brown, PhDDeveloping Credit Risk Models Using SAS Enterprise Miner a nd SAS/STAT Theory and ApplicationsContents About this Book .. ix About the Author .. xiii Acknowledgments ..xv Chapter 1 Introduction .. 1 Book 1 Overview of Credit Risk modeling .. 2 Regulatory Environment .. 3 Minimum Capital Requirements .. 4 Expected 5 Unexpected Loss .. 6 Risk Weighted Assets .. 6 SAS Software Utilized .. 7 Chapter Summary .. 11 References and Further Reading .. 11 Chapter 2 Sampling and Data Pre-Processing .. 13 Introduction .. 13 Sampling and Variable Selection .. 16 Sampling .. 17 Variable Selection .. 18 Missing Values and Outlier Treatment .. 19 Missing Values .. 19 Outlier Detection.
2 Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT The remaining chapters are structured as follows: Chapter 2 covers the area of sampling and data pre-processing. This chapter defines and contextualizes issues such as variable selection, missing values, and outlier detection within the area of credit risk modeling…
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
Credit risk, Commercial and Corporate Credit Portfolio, Credit Risk Modeling, Default Recovery Rates and LGD, Credit Risk Modeling and Practice, Corporate, Credit Risk Modeling with Affine Processes, Credit, Risk modeling, Math 774 - Credit Risk Modeling, Credit Analysis, Corporate credit risk, Credit Risk Credit Analysis, Modeling Credit Risk for SMEs, Advanced Modelling in Finance using Excel, Business Bankruptcy Prediction Based on Survival