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Itô Formulas for Fractional Brownian Motion

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Advances in Mathematical Finance

Part of the book series: Applied and Numerical Harmonic Analysis ((ANHA))

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Summary

This article reviews the theory of fractional Brownian motion (fBm) in the white noise framework, and we present a new approach to the proof of Itô-type formulas for the stochastic calculus of fractional Brownian motion.

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References

  1. E. Alos and D. Nualart. Stochastic integration with respect to the fractional Brownian motion, Stochastics, 75:129–152, 2003.

    Article  MathSciNet  Google Scholar 

  2. C. Bender. An Itô formula for generalized functionals of fractional Brownian motion with arbitrary Hurst parameter. Working Paper, University of Konstanz, 2002.

    Google Scholar 

  3. F. Biagini and B. Øksendal. Forward integrals and an Itô formula for fractional Brownian motion. Preprint, University of Oslo, 2005.

    Google Scholar 

  4. F. Biagini, Y. Hu, B. Øksendal, and T. Zhang. Fractional Brownian Motion and Applications. Springer Verlag, forthcoming.

    Google Scholar 

  5. L. Decreusefond. Stochastic integration with respect to Volterra processes. Ann. Inst. H. Poincar Probab. Statist., 41:123–149, 2005.

    Article  MATH  MathSciNet  Google Scholar 

  6. R.J. Elliott and J. van der Hoek. A general fractional white noise theory and applications to finance. Mathematical Finance, 13:301–330, 2003.

    Article  MATH  MathSciNet  Google Scholar 

  7. I.M. Gel’fand and N.Y. Vilenkin. Generalized Functions, vol.4, Academic Press, 1964.

    Google Scholar 

  8. T. Hida, Brownian Motion. Springer-Verlag, 1983.

    Google Scholar 

  9. T. Hida, H.-H. Kuo, J. Pothoff, and L. Streit. White Noise - An Infinite Dimensional Analysis. Kluwer Academic, 1993.

    Google Scholar 

  10. E. Hille and R.S. Phillips. Functional Analysis and Semigroups. American Mathematical Society, 1957.

    Google Scholar 

  11. H. Holden, B. Øksendal, J. Ubøe, and T. Zhang. Stochastic Partial Differential Equations. Birkhäuser, 1996.

    Google Scholar 

  12. Y. Hu and B. Øksendal. Fractional white noise calculus and applications to fi-nance. Infinite Dimensional Analysis, Quantum Probability and Related Topics, 6:1–32, 2003.

    Article  MATH  Google Scholar 

  13. Z.-Y. Huang and J.-A. Yan. Introduction to Infinite Dimensional Stochastic Analysis. Kluwer Academic, 2000.

    Google Scholar 

  14. K. Itô. Multiple Wiener integral. J. Math. Soc. Japan, 3:157–169, 1951.

    MATH  MathSciNet  Google Scholar 

  15. S. Janson. Gaussian Hilbert Spaces. Cambridge University Press, 1997.

    Google Scholar 

  16. H.-H. Kuo. Gaussian Measures in Banach Spaces. LNM, 463. Springer-Verlag, 1975.

    Google Scholar 

  17. H.-H. Kuo. White Noise Distribution Theory. CRC Press, 1996.

    Google Scholar 

  18. N.N. Lebedev. Special Functions and their Applications. Prentice-Hall, 1965.

    Google Scholar 

  19. Y.J. Lee. Generalized functions on infinite dimensional spaces and its applications to white noise calculus. J. Funct. Anal., 82:429–464, 1989.

    Article  MATH  MathSciNet  Google Scholar 

  20. Y.J. Lee. A characterization of generalized functions on infinite dimensional spaces and Bargman-Segal analytic functions. Gaussian Random Fields, eds. K. Itô and T. Hida, World Scientific, 272–284, 1991.

    Google Scholar 

  21. Y.J. Lee. Analytic version of test functionals - Fourier transform and a characterization of measures in white noise calculus. J. Funct. Anal., 100:359–380, 1991.

    Article  MATH  MathSciNet  Google Scholar 

  22. J. Neveu. Processus Aléatoires Gaussiens. Montréal, Presses de l’Université de Montréal, 1968.

    Google Scholar 

  23. D. Nualart. The Malliavin Calculus and Related Topics. Springer-Verlag, 1995.

    Google Scholar 

  24. D. Nualart. Stochastic integration with respect to fractional Brownian motion and applications. Stochastic Models (Mexico City, 2002), Contemp. Math. 336, American Math. Soc., Providence, RI, 3–39, 2003.

    Google Scholar 

  25. B. Øksendal. Fractional Brownian motion in finance. Stochastic Economic Dynamics, eds. B.S. Jensen and T. Palokangas, Cambridge Univ. Press (to appear).

    Google Scholar 

  26. M. Reed and B. Simon. Functional Analysis, Vol. 1, Academic Press, 1980.

    Google Scholar 

  27. G. Samorodnitsky and M.S. Taqqu. Stable Non-Gaussian Random Processes. Chapman and Hall, 1994.

    Google Scholar 

  28. A. Sottinen and B. Valkeila. On arbitrage and replication in the fractional Black-Scholes pricing model. Working Paper, University of Helsinki, 2003.

    Google Scholar 

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Elliott, R.J., Hoek, J.v. (2007). Itô Formulas for Fractional Brownian Motion. In: Fu, M.C., Jarrow, R.A., Yen, JY.J., Elliott, R.J. (eds) Advances in Mathematical Finance. Applied and Numerical Harmonic Analysis. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4545-8_5

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