Sunday, 31 July 2016
Last updated 1 day ago
Apr 24 2012 | 1:49pm ET
The oldest university in England has teamed with the largest hedge fund group in the world to launch a 'virtual data lab' intended to help researchers better understand financial systems.
The Oxford-Man Institute of Quantitative Finance will mirror systems already in use by financial institutions worldwide to capture, store and analyze “vast amounts” of financial data, “educating the next generation with a range of tools they need to create new economic and trading strategies,” according to a Man press relase.
The lab, the latest project in the collaborative venture between Oxford and Man, will support OMI’s academic research, which aims to “improve the understanding of the markets and financial systems, find novel methods for assessing and limiting risk while providing the expertise on the algorithms and technology required to execute such analysis.” Researchers at the institute study market volatility, hedge fund liquidity, credit default and systemic risk, computational techniques and new mathematics to optimize portfolios.
Professor Terry Lyons, director of the Oxford-Man Institute, said: “Markets are complex evolving systems carrying a huge amount of data, Being able to access and manage financial and business data quickly is very important if we are to learn how to address the key problems associated with financial markets and risk in a way that has significant impact. The new system will aid our researchers in gaining a better and deeper understanding of financial markets, their behaviour, their stability, and their inter-dependence.”
The lab is powered by software created by OneMarketData.
The Oxford-Man Institute, established in 2007, brings together university researchers from the departments of economics, engineering science, statistics, the Mathematical Institute, the computing laboratory, the law faculty and the Said Business School with Man employees.
The Man Group had assets under management of $58.4 billion as of the end of December, 2011.