|
Note: in order to view these papers you'll need Adobe Acrobat Reader v4.0 or higher.
Bad Debt Projection Models, Gerard Scallan, 1998
This paper gives an overview of modelling approaches for loss forecasting and provisioning and discusses triangular projection models.
Download Now (Document Size: 405KB)
Credit Scoring, Modelling and Data Issues, Gerard Scallan, 2001
Retail Credit Risk presentation to the British Bankers Association on the role of scoring in structuring existing data and the importance of data quality
Download Now (Document Size: 336KB)
Credit Scoring: Data and Decisioning - What should scoring do for collections?, Helen McNab, 2002
Presentation at the Tallyman Customer Partnership Conference, June 2002: Best Practice in Credit Management & Collections
Download Now (Document Size: 315KB)
Going to Market, Tony Masters and Anthea Wynn, 2000
This paper discusses the issue of how credit and marketing departments can learn to love one another and maximise profits
Download Now (Document Size: 27KB)
Granting Credit to E-Customers, Peter Taylor, 2002
This Brief is aimed at fraud control and credit strategy managers responsible for implementing internet-based credit products within financial institutions
Download Now (Document Size: 26KB)
Life After Basel: rethinking the feedback loop, Gerard Scallan, 2007
An invited presentation from the 2007 Edinburgh Conference on portfolio monitoring, management reporting and credit governance using the Basel infrastructure.
Download Now (Document Size: 372KB)
Marginal ChiČ Analysis: Beyond Goodness of Fit for Logistic Regression Models, Gerard Scallan, 2009
Slides explaining the ideas behind the Marginal ChiČ approach to testing scorecard sufficiency. From a conference at Imperial College London, January 2009.
Download Now (small file without slide builds) (Document Size: 311KB) or Download Now (large file with slide builds) (Document Size: 10.6MB)
Markov Models - An Introduction, Gerard Scallan, 1990
This paper introduced an effective new approach to bad debt projection; Markov models allow your company to take account of profit-line dynamics.
Download Now (Document Size: 237KB)
Risk Management Principles, Gerard Scallan, 2002
Banking risk management includes all the activities and systems that contribute to: Assessing the risks resulting from its decisions, limiting this risk, balancing risk with commercial considerations to maximise long term profit and controlling the whole system, taking account of the bank's environment and strategic priorities.
Download Now (Document Size: 120KB)
| 
