Please wait while the page is being loaded Skip this advertisement >
Thursday | 4 December, 2008
Open sourcing code may improve transparency on Wall Street
Researcher argues for open sourcing of risk models to improve financial codes, boost transparency
Patrick Thibodeau 10/10/2008 08:00:00

The full depth of IT's involvement in Wall Street's meltdown is unknown, but one plan to stop it from happening again calls upon a growing IT trend: open source.

Erik Gerding, an assistant professor of law at University of New Mexico who researches securities law and asset price bubbles, says that in agreeing to rely on computer models, the US Securities and Exchange Commission (SEC) essentially "outsourced" the financial regulation to proprietary codes developed by financial services firms.

The fix? Open source the underlying codes -- much like with open source software -- to improve the transparency of financial services used to calculate risk.

Risk models of financial services have thousands of variables and are as complicated as weather system models. They can take enormous computing power to run, which is evident in some of the spending by the industry. In 2003, financial services firms spent US$169 million on high-performance systems. By 2007, research firm IDC says, spending reached $305 million.

As capability and power of the technology increased, so did the complexity of the investments, such as with mortgage securities. Regulator confidence increased in these tools so much so that the SEC made a fundamental change in how to regulate financial services. On April, 28, 2004, the SEC -- at the insistence of financial services firms -- loosened its capital rules, agreeing to rely on financial services' computer models in assessing risk. This meeting, which received scant attention at the time, was recently the focus of a New York Times report.

In a draft paper made available last month, Gerding said regulators may have been comfortable with this increased level of risk because they saw lenders on the hook for the loss. "Lenders and the financial markets, many regulators assumed, accurately priced and managed this risk due to advances in the risk models -- a type of code -- they employed," Gerding wrote.

The SEC was also acting at a time when confidence in technology was high. If there was any reason to be worried about the SEC's action, it wasn't evident in a speech Allan Greenspan, the former chairman of the Federal Reserve, delivered in 2005. He said technology and new credit-scoring models gave lenders a means "for efficiently extending credit to a broader spectrum of consumers."

So, who comprised this "broader spectrum" of consumers? Subprime mortgage borrowers. "Where once more-marginal applicants would simply have been denied credit, lenders are now able to quite efficiently judge the risk posed by individual applicants and to price that risk appropriately," said Greenspan, who stepped down in 2006.

Additional Resources
Executive Guides
Whitepapers
Zones
Zone logoZones provide focussed content from Computerworld and leading technology partners.
Newsletter Subscription
Sign up for our Computerworld newsletters!
RSS Feeds
Market Place

 

Smart SOA World Tour

Discover how SOA can create smarter outcomes for your business.

Attend and learn:

  • How SOA is helping leading companies to become more agile
  • Where you should be applying SOA processes in your company
  • The top SOA implementation mistakes to avoid

Click here for more information.
Whitepaper

Email Archiving 101—Customer Case Study

Join Lee Benjamin, a Microsoft Exchange MVP and Ryan Shipkowski, network administrator for Matthews, to discuss the process and ROI of implementing an email archiving solution, with emphasis on a case study from Matthews International.

Enterprise IT Buyer's Guide
Find Technology Vendors Fast
 
Find vendors by name | Find by category
Sponsored Links