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The Future of Quantitative Research 

The various interconnected financial crises that have occurred between 2007 and 2012 have brought about a substantive change in the public understanding of the financial system. Part of our research agenda is to push forward into new areas of research relating to financial markets. 

Traditional asset pricing approaches to financial markets, commonly taught in most finance courses, have focused, directly or indirectly, on the completeness argument. In a complete financial market the universe of global assets is priced relative to a finite number of states-of-the-world that have a random chance of occurring. If there are more assets than states we can use linear combinations of the states to construct prices for these assets. From this simple set-up all of our current asset pricing models have evolved, including famous models such as the capital asset pricing model and the Black and Scholes option-pricing model. The complete markets set-up is mathematically very elegant and with simple extensions makes very precise predictions on the fluctuations of financial markets. 

Unfortunately, our experience during the 2007 to 2012 era has indicated that the effectiveness of these models in pricing stocks, bonds, derivatives and commodities has been very poor. Even with the introduction of more complex non-linear adjustments to the complete market approach we have not been able to capture fully the realities of the financial risks we face or the persistence of the positive and negative bubbles we have observed in various markets. 

The work of the group is underpinned by state-of-the-art data facilities that drive the financial risk measures contained in The Durham Finance Laboratory. 

Abderrahim Taamouti 
Centre Co-Director and Professor in Economics

Post-Crisis Era

In the period leading up to 2007, financial services embraced financial engineering founded in the principles of complete markets and no-arbitrage, eschewing many of the ideas around bounded rationality and market failure that had risen to prominence in the economics literature in the prior thirty years. In the post-crisis era we are now beginning to see a re-emergence of the need to treat the agents within a financial market as strategic players with differentiated information, and this provides the backdrop for the research ideas that permeate through our group. 

Our ideas 

Part of our research agenda focuses on addressing this problem and our approach is multi-faceted. For instance, most traded underlying assets, such as stocks and commodities, have an associated derivatives market (a contract whose value is directly related to the value of the underlying asset). These markets are used to both hedge risk and leverage bets on future valuations of the underlying asset.

The traditional framework provides a specific rule for the valuation of these derivatives and part of our team is involved in using the discrepancies in the predicted and actual valuations to gain insight into why our traditional asset pricing models are breaking down. 

Another approach from the group focuses on the actual trading mechanism within financial markets and if the relatively new highly automated trading systems are leading to systematic inefficiencies and frictions in how we value stocks, commodities, bonds, currencies, futures, options and other financial assets. This research looks at the minutiae of trading, observing how each and every quote and who is making the quote affects the aggregate direction of asset prices.

It also now appears that market participants with technological superiority in computational speed and high levels of influence appear to have systematic advantages over other participants in the market. The combination of these inefficiencies also appears to be important in explaining the inadequacies of our traditional approaches. 

University student
Our group focuses on all aspects of quantitative and empirical financial modelling and draws expertise from areas as diverse as applied stochastic modelling, financial econometrics, banking, microstructure and asset pricing.

Julian Williams
Centre Co-Director and Professor in Accounting and Finance

Explore Our Research Centre

Our members are highly inter-disciplinary in the named research areas and work extensively together generating a broad spectrum of publications.

The Durham Finance Laboratory (coming soon)

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Our People

Get in touch with our outstanding team of researchers.
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Quantitative Research in Financial Economics (QRFE) research centre focuses on all aspects of quantitative and empirical financial modelling.
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Get in Touch

If you would like find out more about our work, please contact Professor Abderrahim Taamouti by telephone (+44 (0) 191 33 45423), or send an email below.

Durham University Business School

Mill Hill Lane 
Durham DH1 3LB, UK 

+44 (0)191 334 5200