SBIR/STTR Research Award

SBIR Phase I: Advanced Mathematical Algorithms to Improve Execution-Quality of Block Trades

Award identifier 20d8cba584599d84fdabf825a9c918d4a4b3b9ded676803d1796e2344beddaa9Awarding agency National Science Foundation

Award amount

$99,750

Program and phase

SBIR · Phase I

Award year

2007

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Benchmark Simulation, LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 06-553
Topic code
IT

Research abstract

This Small Business Innovation Research (SBIR) Phase I project addresses the need for improved block trading capabilities in the financial markets. Block trading, or sell-side trading, involves transacting large blocks of stock (for example, 450,000 shares of IBM), while trying to minimize market impact and receive the best price for the stock. Block-trading technology is necessary for institutions holding large positions in equities. Much of the current block-trading technology is inefficient and expensive, often being done by hand or by very simple software systems. The research proposed here will leverage Benchmark's expertise in diffusive systems and high-frequency trading technology. Benchmark's proposed block-trading system will reduce market impact, lower transaction costs, and improve returns for institutions making large block trades. The potential commercial value of an advanced block-trading system is substantial and global. Also, fundamental advances in spacetime finite element inversion associated with this research may have broader application to numerical simulation in other fields.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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