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Landbouwkrediet / Crédit AgricoleSmarter risk management enables more business
LANDBOUWKREDIET IMPLEMENTS SAS FOR BASEL II COMPLIANCE Landbouwkrediet is among the first banks to meet Basel II regulations. Triggered by increasing regulatory pressure from banking authorities, Landbouwkrediet initiated a project aimed at smarter risk management. Together with SAS, the bank implemented a solution in only nine months which generates better and faster reporting. It will also help calculate required capital reserves and risks more accurately, enabling more banking business. Philippe Eulaerts (Director Reporting and Control) and Joris De Backer (Risk Manager) explain how SAS offered the perfect solution. Landbouwkrediet is a 70 year old Belgian
bank with roots in agriculture. Its
retail banking and commercial enterprises
have grown to almost equal its
agricultural interests. In 2006, the bank
reported a growth rate of 49% according
to International Financial Reporting
Standards (IFRS) with a net result of 52
Fully support the requirements As a major player, Landbouwkrediet
has had to face the challenge of meeting Basel II compliant in nine months The first hurdle was cleared by October
2007. Landbouwkrediet implemented
the SAS credit risk tool in only nine
months and now calculates and reports
according to Basel II regulations. It is
among the first 20% of the banks that
are active in Belgium to do so.
This was possible because SAS
provided both the necessary tools and
the right people to implement them. De
Backer explains: “Our SAS consultant
had a great deal of experience in similar
projects. This proved particularly helpful
in the development of the so-called
Common Solvency Ratio Reporting
(COREP), the Basel II regulations
on financial risk reporting and capital
reserves. In fact we were able to implement
the regulatory COREP reports
per source system, fully in line with our “With SAS in place, Landbouwkrediet plans to switch to IRB calculations within two years enabling them to calculate their required capital reserves more stringently while complying with regulations” Successful project approach The project approach was another key to success. Eulaerts wanted to ensure that the complete Landbouwkrediet business was covered right from the start. The objective was to avoid unpleasant surprises later on. So the project team initially concentrated on defining a series of 36 business cases, creating accurate specifications for the bank’s ICT staff and the SAS consultant. Eulaerts: “This was crucial. Landbouwkrediet management had to ensure that the defined cases completely covered their business. Our SAS consultant guaranteed proper uploading of this data and the correct Basel II standard calculations. It was a perfect match: we knew where to find the necessary information and SAS knew how to process it. We were pleased - and frankly surprised - to see such steady and rapid progress.” Detailed insight in risk exposures Basel II may have been the trigger, but smarter risk management was certainly the target. Part of what has already been achieved, is due to the improved SAS reporting capabilities. “I can easily create my own reports with the SAS reporting tools and keep bank management informed,” says De Backer. “The tools are user-friendly and have great potential. My reports immediately show our risk exposures. They improve our insight, help us spot any weak points, and find optimal solutions.” Basel II also provides an opportunity for banks to better calculate their risks. De Backer notes that a more stringent calculation of required capital reserves tends to free up capital for additional transactions and thereby enable new banking business. Basel II in fact allows banks to propose their own calculation methods and have them validated by the appropriate authorities. This is known as Internal Ratings Based (IRB) calculation. Landbouwkrediet now plans to switch to IRB calculations within two years. The bank will simply take advantage of the analytical data mining capabilities already built into the SAS tool. De Backer: “SAS offers a very powerful instrument which has all the required tools to support risk modeling, including ROC curves, Lorenz curves, the Gini coefficient, logical regressions, and decision trees.” Staff from the Landbouwkrediet business lines is currently developing the risk models in SAS, while Risk Management validates them using the same tool. Eulaerts has great confidence: “We have top quality staff, consultants, and software. I am certain we will succeed.” Read More ...
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