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Details of Grant 

EPSRC Reference: GR/M10472/02
Title: PREDICTIVE BEHAVIOURAL MODELS IN RETAIL BANKING AND CREDIT SCORING
Principal Investigator: Hand, Professor D
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Mathematics
Organisation: Imperial College London
Scheme: Standard Research (Pre-FEC)
Starts: 01 April 1999 Ends: 30 September 2001 Value (£): 37,664
EPSRC Research Topic Classifications:
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
This project will model patterns of likely future behaviour of consumers of a variety of credit products, including personal loans, credit cards, and bank accounts. It has five key objectives: (i) to develop predictive models which allow for evolution in the population of applicants or of customers, due to people joining or leaving that population or behaving in different ways; (ii) to develop predictive models which permit the user to define the response pattern of interest at the time at which the prediction is required, rather than at the time at which the model is constructed; (iii) to compare the relative predictive powers of empirical data-driven predictive models and Bayesian belief network models used for prediction; (iv) to develop models which take advantage the (ubiquitous) ambiguity and uncertainty in the definitions of the patterns of future behaviour to yield models with greater predictive power; and (v) to identify and characterise the stages of use of financial products over the life of that product (especially credit cards).
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Organisation Website: http://www.imperial.ac.uk