Albanese, Claudio (2007): CALLABLE SWAPS, SNOWBALLS AND VIDEOGAMES.
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Abstract
Although economically more meaningful than the alternatives, short rate models have been dismissed for financial engineering applications in favor of market models as the latter are more flexible and best suited to cluster computing implementations. In this paper, we argue that the paradigm shift toward GPU architectures currently taking place in the high performance computing world can potentially change the situation and tilt the balance back in favor of a new generation of short rate models. We find that operator methods provide a natural mathematical framework for the implementation of realistic short rate models that match features of the historical process such as stochastic monetary policy, calibrate well to liquid derivatives and provide new insights on complex structures. In this paper, we show that callable swaps, callable range accruals, target redemption notes (TARNs) and various flavors of snowballs and snowblades can be priced with methods numerically as precise, fast and stable as the ones based on analytic closed form solutions by means of BLAS level-3 methods on massively parallel GPU architectures.
Item Type: | MPRA Paper |
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Institution: | Independent Consultant |
Original Title: | CALLABLE SWAPS, SNOWBALLS AND VIDEOGAMES |
Language: | English |
Keywords: | Interest Rate Derivatives; stochastic monetary policy; callable swaps; snowballs; GPU programming; operator methods |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing ; Futures Pricing G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates |
Item ID: | 5229 |
Depositing User: | Claudio Albanese |
Date Deposited: | 09 Oct 2007 |
Last Modified: | 26 Sep 2019 14:31 |
References: | Ait-Sahalia, Y., Hansen L.P. and J. A. Scheinkman (2005). Operator Methods for Continuous Time Markov Processes. Journal of Economic Theory. Albanese, C. (2006). Operator Methods, Abelian Processes and Dynamic Conditioning. preprint, available at www.level3finance.com. Albanese, C. and A. Mijatovic (2006). Convergence Rates for Diusions on Continuous-Time Lattices. preprint, available at www.level3finance.com. Albanese, C. and A. Vidler (2007). A Structural Model for Bespoke CDOs. Willmott Magazine. Albanese, C. and M. Trovato (2006). A Stochastic Volatility Model for Callable CMS Swaps and Translation Invariant Path Dependent Derivatives. preprint, available at www.level3finance.com. Albanese, C., H. Lo and A. Mijatovic (2006). Spectral Methods for Volatility Derivatives. preprint. Bennett, M.N. and J.E. Kennedy (2005). Common Interests. Finance and Stochastics. Black, F. and P. Karasinski (1991). Bond and Option Pricing when Short Rates are Lognormal. Financial Analysts Journal pp. 52–59. Brace, A., D. Gatarek and M. Musiela (1997). The Market Model of Interest Rate Dynamics. Mathematical Finance 7, 127–154. Buttari, A., J. Dongarra, J. Kurzak, J. Langou, P. Lusczek and S. Tomov (2007). Exploiting Mixed Precision Floating Point Hardware in Scientific Computations. preprint, available at www.netlib.org. Chen, Lin (1996). Interest Rate Dynamics, Derivatives Pricing, and Risk Management. Springer. Cheyette, O. (1992). Term Structure Dynamics and Mortgage Valuation. Journal of Fixed Income 1, 28–41. Cox, J.C., J.E. Ingersoll and S.A. Ross (1985). A theory of the term structure of interest rates. Econometrica. 53, 385–407. Dai, Q. and K. Singleton (2003). Term Structure Dynamics in Theory and Reality. Review of Financial Studies 16, 631–678. Due, D. and R. Kan (1996). A Yield-Factor Model of Interest Rates. Mathematical Finance 6, 379–406. Hagan, P., D. Kumar, A. Lesniewski and D. Woodward (2002). Managing Smile Risk. Willmott Magazine pp. 84–108. Heath, D., R. Jarrow and A. Morton (1992). Bond Pricing and the Term Structure of Interest Rates: A New Methodology. Econometrica 60, 77–105. Ho, T.S.Y. and S.B. Lee (1986). Term Structure Movements and Pricing Interest Rate Contingent Claims. Journal of Finance. Hull, J. and A. White (1993). One-factor Interest Rate Models and the Valuation of Interest Rate Derivative Securities. Journal of Financial and Quantitative Analysis 28, 235–54. Hunt, P.J., J.E. Kennedy and A. Pelsser (2000). Markov Functional Interest Rate Models. Finance and Stochastics 4, 391–408. Jamshidian, F. (1997). Libor and Swap Market Models and Measures. Finance and Stochastics 1, 293–330. Longsta, F.A. and E.S. Schwartz (2001). Valuing American Options by Simulation: a Simple Least Squares Approach. Rev. Financial Stud. 14, 113–148. Sandmann, K. and D. Sondermann (1997). A Note on the Stability of Lognormal Interest Rate Models and the Pricing of Eurodollar Futures. Mathematical Finance 7, 119–125. Tang, Y. and J. Lange (2001). A Non-Exploding Bushy Tree Technique and its Application to the Multifactor Interest Rate Market Model. Computational Finance. Vasicek, O. A. (1977). An Equilibrium Characterization of the Term Structure. Journal of Financial Economics 5, 177–88. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/5229 |