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Computational Complexity and Information Asymmetry in Financial Products
 

Summary: Computational Complexity and Information Asymmetry in
Financial Products
(Working paper)
Sanjeev Arora
Boaz Barak
Markus Brunnermeier
Rong Ge
Oct. 19, 2009
Abstract
Traditional economics argues that financial derivatives, like CDOs and CDSs, ameliorate the
negative costs imposed by asymmetric information. This is because securitization via derivatives
allows the informed party to find buyers for less information-sensitive part of the cash flow
stream of an asset (e.g., a mortgage) and retain the remainder. In this paper we show that this
viewpoint may need to be revised once computational complexity is brought into the picture.
Using methods from theoretical computer science this paper shows that derivatives can actually
amplify the costs of asymmetric information instead of reducing them. Note that computational
complexity is only a small departure from full rationality since even highly sophisticated investors
are boundedly rational due to a lack of requisite computational resources.
See also the webpage http://www.cs.princeton.edu/~rongge/derivativeFAQ.html for
an informal discussion on the relevance of this paper to derivative pricing in practice.

  

Source: Arora, Sanjeev - Department of Computer Science, Princeton University

 

Collections: Computer Technologies and Information Sciences