FinacleConnect - Out with legacy
 

Given that Market risk has largely been left
untouched, the implementation of Basel II centers around choosing the appropriate approaches for Credit and Operational risk and ensuring that their existing source systems provide all the necessary data with the desired accuracy for risk analytics and capital calculations.

The Basel Committee of BIS has set aggressive deadlines for banks to comply with Basel II and the regulators have -- based on the realities in their respective jurisdictions -- extended the implementation deadlines by about 12-18 months. However, large international banks in Europe and US, which have to adopt the advanced approaches have already embarked on their Basel II compliance program and have spent a significant

amount of resources (money, effort and management focus) on this. While banks had recognized the difficulties involved in implementing the Basel II regulations, the problems they have encountered in the implementation have turned out to be much bigger and challenges much greater than was initially estimated. In this article we take a look at a few key challenges on the shopfloor.

Data Challenge

Basel II is extremely data intensive and requires good quality data for better results. Data, both current and historical, is required for internal estimation of the PD, LGD, EAD and Maturity (M) parameters in the Capital calculation. The most popular solution centres around building a data

warehouse that will store all the data necessary to support the risk analytics and capital calculation. The largest challenges have been in the following areas
  • Data Sourcing: Banks will have to develop an exhaustive list of data elements that will be required to support the Basel II calculations in their banks. These will then have to be mapped to the source systems and checked for their availability. Gaps if any must be noted. These gaps will require enhancements to the source systems. The mapping process is extremely slow and will have to cover all the source systems. Decisions on which source system a particular data element
 
 

 

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