Abstract
In this chapter, the CTM is applied to price financial and energy derivatives for one-factor and multifactor α-stable Lévy-based models. These models include, in particular, as one-factor models, the Lévy-based geometric motion model and the Ornstein and Uhlenbeck (1930), the Vasicek (1977), the Cox et al. (1985), the continuous-time GARCH, the Ho and Lee (1986), the Hull and White (1990), and the Heath et al. (1992) models and, as multifactor models, various combinations of the previous models. For example, we introduce new multifactor models such as the Lévy-based Heston model, the Lévy-based SABR/LIBOR market models, and Lévy-based Schwartz-Smith and Schwartz models. Using the change of time method for SDEs driven by α-stable Lévy processes, we present the solutions of these equations in simple and compact forms. We then apply this method to price many financial and energy derivatives such as variance swaps, options, forward, and futures contracts.
“The energy of the mind is the essence of life”. —Aristotle.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andersen, L. and Andersen, J. Volatility skews and extensions of the Libor Market Model. Applied Mathematical Finance, 7:1–32, March 2000.
Andersen, L. and Andersen, J. Volatile volatilities. Risk, 15(12), December 2002.
Applebaum, D. Levy Processes and Stochastic Calculus, Cambridge University Press, 2003.
Barndorff-Nielsen, E. and Shiryaev, A.N. Change of Time and Change of Measures, World Scientific, 2010, 305 p.
Bates, D. Jumps and stochastic volatility: the exchange rate processes implicit in Deutschemark options, Review Finance Studies, 9, pp. 69–107, 1996.
Benth, F., Benth, J. and Koekebakker, S. Stochastic Modelling of Electricity and Related Markets, World Sci., 2008.
Björk, T. and Landen, C. On the term structure of futures and forward prices. In: Geman, H.,Madan, D., Pliska, S. and Vorst, T., Editors. Mathematical Finance-Bachelier Congress 2000, Springer, Berlin (2002), pp. 111–149.
Black, F. The pricing of commodity contracts, J. Financial Economics, 3, 167–179, 1976.
Brace, A., Gatarek, D. and Musiela, M. The market model of interest rate dynamics, Math. Finance, 1997, 4, 127–155.
Brigo, D. and Mercurio, F. Interest-Rate Models-Theory and Practice. Springer Verlag, 2001.
Brockhaus, O. and Long, D. Volatility swaps made simple, RISK, January, 92–96, 2000.
Carr, P., Geman, H., Madan, D. and Yor, M. Stochastic volatility for Lévy processes.// Mathematical Finance, vol. 13, No. 3 (July 2003), 345–382.
Cartea, A. and Howison, S. Option pricing with Lévy-stable processes generated by Lévy-stable integrated variance. Birkbeck Working Papers in Economics & Finance, Birkbeck, University of London, February 24 2006.
Cox, J., Ingersoll, J. and Ross, S. A theory of the term structure of interest rate. Econometrics, 53 (1985), pp. 385–407.
Dupire, B. Pricing with a smile, Risk (1999).
Eberlein, E. and Raible, S. Term structure models driven by general Lévy processes, Math. Finance 9(1) (1999), 31–53.
Eydeland, E. and Geman, H. Pricing power derivatives, RISK, September, 1998.
Geman, H., Madan, D. and Yor, M. Time changes for Lévy processes, Math. Finance, 11, 79–96, 2001.
Geman, H. and Roncoroni, R. Understanding the fine structure of electricity prices, Journal of Business, 2005.
Geman, H. Scarcity and price volatility in oil markets (EDF Trading Technical Report), 2000.
Geman, H. Commodity and Commodity Derivatives: Modelling and Pricing for Agriculturals, Metals and Energy. Wiley/Finance, 2005.
Gibson and Schwartz, E. Stochastic convenience yield and the pricing of oil contingent claims, Journal of Finance, 45, 959–976, 1990.
Girsanov, I. On transforming a certain class of stochastic processes by absolutely continuous substitution of measures. Theory Probab. Appl., 5(1960), 3, pp. 285–301.
Glasserman, P. and Kou, S. The term structure of simple forward rates with jumps risk. Columbia working paper, 1999.
Glasserman, P. and N. Merener. Numerical solution of jump diffusion LIBOR market models, Fin. Stochastics, 2003, 7, 1–27.
Hagan, P., Kumar, D., Lesniewski, A., and Woodward, D. Managing smile risk. Wilmott Magazine, autumn, 2002, p. 84–108.
Heath, D., Jarrow, R. and Morton, A. Bond pricing and the term structure of the interest rates: A new methodology. Econometrica, 60, 1 (1992), pp. 77–105.
Henry-Laborderè, P. Combining the SABR and LMM models. Risk, October, 2007, p. 102–107.
Heston, S. A closed-form solution for options with stochastic volatility with applications to bond and currency options, Review of Financial Studies, 6, 327–343, 1993.
Ho, T. and Lee, S. Term structure movements and pricing interest rate contingent claim. J. of Finance, 41 (December 1986), pp. 1011–1029.
Hull, J. and White, A. Pricing interest rate derivative securities. Review of Fin. Studies, 3,4 (1990), pp. 573–592.
Jacod, J. Calcul Stochastique et Problèmes de Martingales, Lecture Notes in Mathematics 714, Springer-Verlag, 1979.
Jamshidian, F. LIBOR and swap market models and measures, Fin. Stochastics, 1 (4), 293–330, 1997.
Janicki, A., Michna, Z., and Weron, A. Approximation for SDEs driven by α-stable Lévy motion, Appl. Mathematicae 24 (1996), 149–168.
Joshi, M. and Rebonato, R. A displaced-diffusion stochastic volatility Libor market model: motivation, definition and implementation. Quantitative Finance, 3, 2003, p. 458–469.
Kallenberg, O. Some time change representations of stable integrals, via predictable transformations of local martingales. Stochastic Processes and Their Applications, 40 (1992), 199–223.
Kallsen, J. and Shiryaev, A. Time change representation of stochastic integrals, Theory Probab. Appl., vol. 46, N. 3, 522–528, 2002.
Lévy, P. Processus Stochastiques et Mouvement Brownian, 2nd ed., Gauthier-Villars, Paris, 1965.
Madan, D. and Seneta, E. The variance gamma (VG) model for share market returns, J. Business 63, 511–524, 1990.
Ornstein, L. and G.Uhlenbeck. On the theory of Brownian motion. Physical Review, 36 (1930), 823–841.
Pilipovic, D. Valuing and Managing Energy Derivatives, New York, McGraw-Hill, 1997.
Piterbarg, V. Astochastic volatility forward Libor model with a term structure of volatility smiles. October, 2003 (http://ssrn.com/abstract=472061)
Piterbarg, V. Time to smile. Risk, May 2005, p. 87–92.
Protter, P. Stochastic Integration and Differential Equations, Springer, 2005.
Rebonato, R. A time-homogeneous, SABR-consistent extension of the LMM, Risk, 2007.
Rebonato, R. Modern pricing of interest rate derivatives: the Libor market model and beyond. Princeton University Press, 2002.
Rebonato, R. and Joshi, M. A joint empirical and theoretical investigation of the models of deformation of swaption matrices: implications for the stochastic-volatility Libor market model. Intern. J. Theoret. Applied Finance, 5(7), 2002, p. 667–694.
Rebonato, R. and Kainth, D. A two-regime, stochastic-volatility extension of the Libot market model. Intern. J. Theoret. Applied Finance, 7(5), 2004, p. 555–575.
Rosinski, J. and Woyczinski, W. On Ito stochastic integration with respect to p-stable motion: Inner clock, integrability of sample paths, double and multiple integrals, Ann. Probab., 14 (1986), 271–286
Sato, K. Lévy Processes and Infinitely Divisible Distributions. Cambridge University Press, Cambridge, UK, 1999.
Schoutens, W. Lévy Processes in Finance. Pricing Financial Derivatives. Wiley & Sons, 2003.
Schwartz, E. The stochastic behaviour of commodity prices: implications for pricing and hedging, J. Finance, 52, 923–97, 1997.
Sin, C. Alternative interest rate volatility smile models. Risk conference proceedings, 2002.
Schwartz, E. Short-Term Variations and Long-Term Dynamics in Commodity Prices, Management Science, Volume 46, Issue 7, 1990.
Schwartz, E. The stochastic behaviour of commodity prices: implications for pricing and hedging, J. Finance, 52, 923–973, 1997.
Shiryaev, A. Essentials of Stochastic Finance, World Scientific, 2008.
Skorokhod, A. Random Processes with Independent Increments, Nauka, Moscow, 1964. (English translation: Kluwer AP, 1991).
Swishchuk, A. Lévy-based interest rate derivatives: change of time and PIDEs, submitted to CAMQ, June 10, 2008 (available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1322532).
Swishchuk, A. Multi-factor Lévy models for pricing of financial and energy derivatives, CAMQ, V. 17, No. 4, Winter, 2009
Swishchuk, A. Modelling and valuing of variance and volatility swaps for financial markets with stochastic volatilities, Wilmott Magazine, Technical Article, N0. 2, September, 2004, 64–72.
Swishchuk, A. Change of time method in mathematical finance, Canad. Appl. Math. Quart., vol. 15, No. 3, 2007, p. 299–336.
Swishchuk, A. Explicit option pricing formula for a mean-reverting asset in energy market, J. of Numer. Appl. Math., Vol. 1(96), 2008, pp. 216–233.
Vasicek, O. An equilibrium characterization of the term structure. J. of Finan. Economics, 5 (1977), pp. 177–188.
Villaplana A two-state variables model for electricity prices, Third World Congress of the Bachelier Finance Society, Chicago, 2004.
Wilmott, P. Paul Wilmott on Quantitative Finance, New York, Wiley, 2000.
Zanzotto, A. On solutions of one-dimensional SDEs driven by stable Lévy motion, Stoch. Process. Appl. 68 (1997), 209–228.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 The Author
About this chapter
Cite this chapter
Swishchuk, A. (2016). CTM and Multifactor Lévy Models for Pricing Financial and Energy Derivatives. In: Change of Time Methods in Quantitative Finance. SpringerBriefs in Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-32408-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-32408-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32406-7
Online ISBN: 978-3-319-32408-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)