From Compliance to Performance Using Technology to Drive Value from Regulatory Initiatives

<p>In an economic environment of low inflation, low interest rates and single-digit returns on equity, banks are reassessing how technology can be used to derive value from regulatory initiatives.</p>

<p>There are two primary regulatory initiatives that are playing a key role in influencing bank business models:</p>

<p>• The need to establish higher standards of conduct. This is characterized by a focus on legal risk and conduct risk. It links operational losses with business costs and income, in order to improve the cost efficiency ratio.<br />
• The recognition that the Basel Committee on Banking Supervision (BCBS) is committed to balancing risk sensitivity, simplicity and comparability. This is characterized by the interaction of the four key ratios, covering Capital Ratio (CR), Leverage Ratio (LR), Net Stable Funding Ratio (NSFR) and Liquidity Coverage Ratio (LCR). This creates the following needs under the Basel 3 capital adequacy regime:</p>

<ul>
<li>A robust approach to stress-testing</li>
<li>A renewed focus on economic capital to complement calculation and optimization of regulatory capital</li>
<li>A holistic approach to balance sheet management</li>
<li>A reconciled and transparent reporting environment</li>
<li>An overarching enterprise risk technology and governance architecture.</li>
</ul>

<p>Banks can no longer look at technological solutions as a series of separate silo-based projects to comply with regulatory initiatives. Instead banks need a holistic approach in which risk and finance data is seamlessly integrated and reconciled. The data must be capable of extraction and analysis to be used for different simultaneous purposes.</p>

<p>This paper will focus on prudential regulatory initiatives and recommend how banks might use technology to deliver value-added performance.</p>

• Tweet  
• Facebook  
• LinkedIn  
• Save this article
• Send to  
• Print this page  

• Topics
• Market Analysis
• Quantitative Methods
• AI & Machine Learning
• Analytics
• Data Management
• Risk & Data Technologies
• GRC and Operational Risk
• Regulatory reporting
• Data management
• Data integrity
• Big Data