Name
Abstract | ||
|---|---|---|
This paper proposes a group decision model for the assessment of credit/loan applications by a team. As many new players enter the finance sector, offering new products and different forms of financing, it is important that credit applications are assessed from multiple angles including the marketing and risk management sides. While external organisations offer independent ratings and credit reports of potential applicants, lending firms need to take into account internal criteria in order to effectively allocate and grant credit to their customers. Individual products target specific customer profiles:in this paper we propose a tool to support the multicriteria assessment and classification of the applicants' profile aiming for a good match between the product and the customer. This will look at expanding the firm's customer base with a reduced risk of bad credit. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/UKSIM.2008.34 | UKSim |
Keywords | Field | DocType |
grant credit,specific customer profile,group assessment,credit applications,customer base,multicriteria assessment,new player,reduced risk,bad credit,new product,decision model,credit application,credit report,decision support,computer simulation,decision models,computational modeling,business,finance,risk management,application software | Credit history,Credit card interest,Loan,Actuarial science,Credit reference,Computer science,Credit rating,Risk management,Credit enhancement,Customer base | Conference |
ISSN | Citations | PageRank |
2381-4772 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolaos V. Karadimas | 1 | 9 | 3.55 |
| George Rigopoulos | 2 | 22 | 2.91 |
| Alessandra Orsoni | 3 | 10 | 5.75 |