SAS Credit Risk Modelling- A to Z for PD Models - Bookswagon
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Home > Business and Economics > Finance and accounting > Finance and the finance industry > SAS Credit Risk Modelling- A to Z for PD Models: PD Modelling using SAS(1 Credit Risk Modelling Using SAS)
SAS Credit Risk Modelling- A to Z for PD Models: PD Modelling using SAS(1 Credit Risk Modelling Using SAS)

SAS Credit Risk Modelling- A to Z for PD Models: PD Modelling using SAS(1 Credit Risk Modelling Using SAS)


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About the Book

Credit Risk Modelling - A to Z for PD Models (SAS Edition) Build a bank-grade Probability of Default (PD) model from scratch-using SAS, end to end. This first-of-its-kind, SAS-focused book takes you from raw banking data to a production-ready PD scorecard, with every step shown in executable code. What makes this book different 100% SAS: Base SAS, PROC SQL, PROC LOGISTIC/HPLOGISTIC, plus practical macros used in real projects. Hands-on, not just theory: every chapter includes working programs you can adapt immediately. Regulatory alignment: maps modelling work to Basel expectations, IFRS 9, ICAAP/CCAR, documentation and governance. Realistic data, safely: all examples use synthetic datasets designed to mirror real bank structures. End-to-end lifecycle: ingestion → feature engineering → WoE/IV → logistic regression → score scaling → cutoffs/banding → deployment → monitoring/backtesting. Case study you can run: a complete PD build that ties everything together. What you will learn How to source and stitch core banking, bureau, delinquency (DPD) and collections data in SAS. Robust feature engineering on wide, messy datasets (including how to tame duplicates and drift). Weight of Evidence (WoE) binning and Information Value (IV) to select predictive variables the way banks do. Building and explaining logistic regression PD models (odds, coefficients, diagnostics, KS/AUC/Lift). Scaling scores, defining risk bands and business cutoffs. Setting up monitoring with PSI, stability checks, challenger vs. champion, and recalibration triggers. Packaging code for deployment and audit-ready documentation. Who it's for Risk analysts, SAS developers, model validators, data scientists and managers who want a clear, actionable path to a compliant PD model-without switching tools. What's included Full SAS programs and a synthetic dataset via GitHub (safe for public use). Reusable macros, templates and governance checklists. Clear explanations written for practitioners, with just enough theory to justify decisions. If you build credit risk models in SAS-or need to validate, monitor and govern them-this book is your practical blueprint from zero to production.


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Product Details
  • ISBN-13: 9798262654192
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 224
  • Returnable: N
  • Spine Width: 12 mm
  • Weight: 358 gr
  • ISBN-10: 8262654196
  • Publisher Date: 24 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 1 Credit Risk Modelling Using SAS
  • Sub Title: PD Modelling using SAS
  • Width: 152 mm


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SAS Credit Risk Modelling- A to Z for PD Models: PD Modelling using SAS(1 Credit Risk Modelling Using SAS)
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