Financial firms fund study into use of supercomputers for market stability

An academic project exploring how supercomputing and data intensive science can be tapped to aid stability, regulation, and enforcement in US markets has received $100,000 in research donations from a collection of financial firms.

  0 1 comment

Financial firms fund study into use of supercomputers for market stability

Editorial

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community.

The Center for Innovative Financial Technology (Cift) at Lawrence Berkeley National Laboratory was set up, in part, as a response to the May 2010 flash crash, which, says a statement, "was something of a wake-up call that complex markets, built on real computer networks, were capable of unanticipated and dangerous behaviour".

With several more high-profile cases of computer-related market failures - including the Facebook IPO and Knight Capital disaster - hitting in recent months, Cift has received financial backing from Tudor Investment Corporation, AJO Partners, Infinium Capital Management, and the Nasdaq/OMX Foundation, which is supporting both the centre and an affiliated UC Berkeley computer scientist.

Cift says that the data-intensive computing challenge is similar to those addressed by Berkeley Lab's computing sciences organisation, which has experience in using supercomputers to study large-scale problems and developing new methods to model processes and complex systems.

David Leinweber, director, Cift, says: "The need for improved analysis, simulation and testing of market system integrity has been demonstrated repeatedly by a series of market mishaps. There is no algorithm certification of any sort today. In virtually all other complex systems, modeling and simulation play a central role. It's not easy to do right, but with enough horsepower it becomes feasible to consider."

Marcos Lopez de Prado, head, global quantitative research, Tudor Investment Corporation, adds: "Those responsible for market oversight could benefit from real-time ability to effectively monitor a complex system. Recent events, including the Flash Crash and other market disruptions, have highlighted the need to solve potential inadequacies in market structure and execution."

Sponsored [On-Demand Webinar] Unifying Card Programmes: The cost-reduction imperative

Comments: (1)

Stephen Wilson

Stephen Wilson Managing Director at Lockstep Consulting

This issue has long driven me nuts. Stock markets are unstable.  If you gave them to a second year electrical engineer, as a Control Systems project, they would quickly look for positive feedback loops, and ways to "damp" the oscillations.  This is really standard undergraduate stuff.  Amplifiers, suspension systems, and umpteen other mechanical and electrical systems tend towards instability, and engineers have a common set of tools for bringing them under control.

Has anyone tried a "low pass filter" on the stock exchanges?  What if we simply slowed down trading, and applied a one or two day rolling average to the stock prices? 

I cannot imagine this is rocket science.  And surely it's in nobody's interest to look for solutions on the leading edge of academic research.  Stock markets are mission critical; peoples' very lives are on the line when markets crash and whole countries cut back on essential services. 

We really should be trying well tested technologies first, like college text book damping filters.

[Webinar] Operational Resilience in the age of DORAFinextra Promoted[Webinar] Operational Resilience in the age of DORA