Books > Business & Economics > Economics
|
Buy Now
Credit Intelligence & Modelling - Many Paths through the Forest of Credit Rating and Scoring (Hardcover)
Loot Price: R4,176
Discovery Miles 41 760
|
|
Credit Intelligence & Modelling - Many Paths through the Forest of Credit Rating and Scoring (Hardcover)
Expected to ship within 12 - 19 working days
|
Credit Intelligence and Modelling provides an indispensable
explanation of the statistical models and methods used when
assessing credit risk and automating decisions. Over eight modules,
the book covers consumer and business lending in both the developed
and developing worlds, providing the frameworks for both theory and
practice. It first explores an introduction to credit risk
assessment and predictive modelling, micro-histories of credit and
credit scoring, as well as the processes used throughout the credit
risk management cycle. Mathematical and statistical tools used to
develop and assess predictive models are then considered, in
addition to project management and data assembly, data preparation
from sampling to reject inference, and finally model training
through to implementation. Although the focus is credit risk,
especially in the retail consumer and small-business segments, many
concepts are common across disciplines, whether for academic
research or practical use. The book assumes little prior knowledge,
thus making it an indispensable desktop reference for students and
practitioners alike. Credit Intelligence and Modelling expands on
the success of The Credit Scoring Toolkit to cover credit rating
and intelligence agencies, and the data and tools used as part of
the process.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.