Abstract
The pricing of a portfolio of financial instruments is a common and important computational problem in financial engineering. In addition to pricing, a portfolio or risk manager may be interested in determining an effective hedging strategy, computing the value at risk, or valuing the portfolio under several different scenarios. Because of the size of many practical portfolios and the complexity of modern financial instruments the computing time to solve these problems can be several hours. We demonstrate a powerful and practical method for solving these problems on clusters using web services.
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References
Banerjee, A., et al.: C# web services - building web services with .NET remoting and ASP .NET. Wrox Press Ltd., Birmingham, UK (2001)
Longstaff, F., Schwartz, E.: Valuing American Options by Simulation: A Simple Least Squares Approach. The Review of Financial Studies 14, 113–147 (2001)
Bodie, Z., Kane, A., Markus, A.J.: Investments. McGraw-Hill, New York (2001)
Wilmott, P.: Paul Wilmott on Quantitative Finance, vol. 2. John Wiley and Sons, New York (2000)
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© 2006 Springer-Verlag Berlin Heidelberg
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Chinchalkar, S., Coleman, T.F., Mansfield, P. (2006). Cluster Computing for Financial Engineering. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2004. Lecture Notes in Computer Science, vol 3732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558958_47
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DOI: https://doi.org/10.1007/11558958_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29067-4
Online ISBN: 978-3-540-33498-9
eBook Packages: Computer ScienceComputer Science (R0)