Background Paper
Institutional Risk Analytics Perspective on Regulation and Technology
August 27, 2003

Beginning in the mid-1990’s, firm specific risk issues driven by the corporate bond and derivatives market created a need for risk analytics based on balance sheet and cash flow-based analysis methods. These methods focus on measurements such as earnings quality, financial health, and capital structure, using public data sources. Generally speaking, these systems assumed satisfactory governance behavior on the part of companies.


The beginning of the 21st century once again affirms the old adage made famous by President Ronald Reagan before the fall of the Berlin Wall: “Trust but Verify.” Financial and accounting scandals show that lenders and investors need tools to monitor past performance and anticipate future risks, such as earnings restatements, accounting problems and even defaults. The draconian legislation known-as Sarbanes-Oxley that passed the Congress in 2002 confirms the need for corporate officers and directors to use more rigorous tests to ensure acceptable standards of financial strength and corporate governance when initiating or monitoring commitments to and/or investments in both public and private companies.


Scandals like Worldcom and Enron have created a new generation of risk behavior measures that are beginning to arrive on the market. These measures emphasize the quantitative analysis of accounting aggressiveness, director and officer backgrounds, firm behavior regarding propensity to risk, potential exposure to investigations and lawsuits, and other analyses designed to identify the existence of potentially catastrophic risks.

The risk measures generated by these emerging providers of data are interesting, provocative and scattered. The state of the art can easily result in a company being ranked at both the top and bottom of different risk or corporate governance measures at the same time. Coverage remains spotty in the public sector and non-existent for most private firms.

But things are changing.

  • We have been monitoring the progress of information suppliers for several years. We have championed the development of analytics "testing services" that automate traditional screening tasks, once performed piecemeal by staff analysts, that identify problem areas of financial reports. We believe a sufficient number of "testing service" components have advanced to a degree that justifies the adoption of more flexible -- and therefore more efficient -- risk analysis protocols and architectures.

  • We also note that progress toward a unified industry protocol for providing financials in XBRL and simiar formats is driving the speed and breadth of innovations in analysis tools, creating huge performance and cost leverage for customers. We believe the power of information formatting technology such as XBRL and the availability of risk testing systems will give customers unparalleled choices when building risk solutions.

  • We further believe there is sufficient data robustness in this new landscape to design analytic architectures to address both public company and private entity risk analysis.

  • The mission of Institutional Risk Analytics is to design and build cost-effective and compliant tools that help our clients make better credit decisions and manage risk. We believe the financial community needs to take advantage emerging capabilities in transparency, comparability, throughput and data consistency to build better risk tools. We are prepared to implement solutions for our clients using a modular approach that changes as the technology to leverage automation matures.

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