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The new system 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. The new lab will allow OMI academics and students to use their own desktop computers to tap into huge amounts of valuable data sources very quickly. Researchers at the Institute carry out work on market volatility, hedge fund liquidity, credit default and systemic risk and are pioneers in computational techniques and new mathematics to optimise portfolios.

Professor Terry Lyons FRS, 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.”

“OneMarketData is committed to partnering with leading universities around the globe to support their research,” said Richard Chmiel, Senior Vice President, OneMarketData. “Used by the most sophisticated financial firms in the industry, OneTick is the premier solution for quantitative research and we are thrilled to provide the students and researchers of Oxford with the opportunity to uncover new strategies and fuel new discoveries in the industry.”

The Oxford-Man Institute set up in 2007 is a unique collaboration, in which employees from the University and Man are co-located in the same purpose-designed building. The University and Man have their own separate research laboratories and share communal spaces, in which researchers engaged in academic work can mix with practitioners who are at the forefront in commercial application. The Institute draws on researchers from social sciences, mathematics, statistics and the computational sciences to create an improved understanding of financial risk and financial markets. -->