CSAIL Event Calendar: Previous Series

Computational complexity and information asymmetry in financial derivatives

Speaker: Sanjeev Arora , Princeton University
Date: November 24 2009
Time: 4:15PM to 5:15PM
Location: 32-155
Contact: Be, 3-6098, imbe@mit.edu
Relevant URL: http://intractability.princeton.edu/blog

> CDOs and related financial derivatives have been at the center of the current crisis and subject of ongoing regulatory overhaul.
>
> Despite their demonstrable benefits in economic theory, derivatives suffer from the practical drawback
> that pricing them accurately is often difficult even for sophisticated trading banks using powerful computers.
> We propose a new explanation: the pricing problem is computationally intractable.
>
>
> We also quantify the economic implications of this computational intractability. According to economic theory,
> derivatives are beneficial because they mitigate the effects of asymmetric information (i.e., in settings where
> sellers know more about the product than the buyers, a scenario studied in the classic paper of Akerloff).
> We show that this may no longer hold when we take computational complexity into account. Using an Akerloff-like notion of "lemon cost" we can show that derivatives can in fact amplify the effects
> of asymmetric information.
>
> Our notion of lemon cost can also differentiate between different types of derivatives, say CDOs and CDO2, supporting the traditional belief that the latter are more "complex."
>
> (Joint work with Boaz Barak, Markus Brunnermeier, and Rong Ge.
> http://intractability.princeton.edu/blog/2009/10/new-paper-on-complexity-and-financial-derivatives/)

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