Computational Finance and Derivatives
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This research theme is carried out largely under the auspices of the Financial Options Research Centre. FORC is an active research centre with a research portfolio focused in the derivatives area, and in closely related topics. There are currently four main research areas;
As new markets and products develop and derivatives themes become apparent, so FORC’s ongoing research portfolio adjusts to address emergent questions and issues. Pricing behaviour of assets and option productsThis is a principal research strand. Novel derivative products may require novel approaches to pricing, and pricing methods have to be adapted to changing assumptions about the nature of their markets in order to fit more closely to observed prices. There are four main areas of research currently under way:
Computational methods for derivatives valuationTheoretical models may enable prices to be found in principle, but physically computing prices may pose considerable further problems. Monte Carlo methods are slow unless used with effective speed-ups; PDE methods can work well for models with a single state variable but are much harder to use with multiple state variables; lattice methods can be easier to use in two or three dimensions than PDE methods but can be slow. This research strand investigates the computational methods used to obtain prices with the target of finding fast robust and practical pricing tools. The two main research areas are
Empirical derivative pricesThe three areas of work here involve the explanation of and consequences of the pattern of option prices observed in the market:
Portfolio ManagementThis area is related to some of the previous topics, but is further away from pure options research. Research here is on risk forecasting and on informational issues.
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