Abstract
We characterize the support of the law of the exponential functional \(\int _{0}^{\infty }e^{-\xi _{s-}}\,d\eta _{s}\) of two one-dimensional independent Lévy processes ξ and η. Further, we study the range of the mapping Φ ξ for a fixed Lévy process ξ, which maps the law of η 1 to the law of the corresponding exponential functional \(\int _{0}^{\infty }e^{-\xi _{s-}}\,d\eta _{s}\). It is shown that the range of this mapping is closed under weak convergence and in the special case of positive distributions several characterizations of laws in the range are given.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
R.B. Ash, C.A. Dolèans-Dade, Probability & Measure, 2nd edn. (Academic, New York, 2000)
O.E. Barndorff–Nielsen, N. Shephard, Modelling by Lévy processes for financial econometrics, in Lévy Processes: Theory and Applications, ed. by O.E. Barndorff-Nielsen, T. Mikosch, S. Resnick (Birkhäuser, Boston, 2001), pp. 283–318
A. Behme, Distributional properties of solutions of dV t = V t− dU t + dL t with Lévy noise. Adv. Appl. Probab. 43, 688–711 (2011)
A. Behme, A. Lindner, On exponential functionals of Lévy processes. J. Theor. Probab. (2013). doi:10.1007/s10959-013-0507-y
A. Behme, A. Schnurr, A criterion for invariant measures of Itô processes based on the symbol. Bernoulli 21 (3), 1697–1718 (2015)
A. Behme, A. Lindner, R. Maller, Stationary solutions of the stochastic differential equation dV t = V t− dU t + dL t with Lévy noise. Stoch. Process. Appl. 121, 91–108 (2011)
J. Bertoin, M. Yor, Exponential functionals of Lévy processes. Probab. Surv. 2, 191–212 (2005)
J. Bertoin, A. Lindner, R. Maller, On continuity properties of the law of integrals of Lévy processes, in Séminaire de Probabilités XLI, ed. by C. Donati-Martin, M. Émery, A. Rouault, C. Stricker. Lecture Notes in Mathematics, vol. 1934 (Springer, Berlin, 2008), pp. 137–159
P. Billingsley, Probability and Measure, 3rd edn. Wiley Series in Probability and Mathematical Statistics (Wiley, New York, 1995)
N.H. Bingham, C.M. Goldie, J.L. Teugels, Regular Variation. Encyclopedia of Mathematics and its Applications, vol. 27 (Cambridge University Press, Cambridge, 1989)
M. Braun, Differential Equations and Their Applications, 4th edn. (Springer, New York, 1993)
P. Carmona, F. Petit, M. Yor, On the distribution and asymptotic results for exponential functionals of Lévy processes, in Exponential Functionals and Principal Values Related to Brownian Motion. Bibl. Rev. Mat. Iberoamericana (Rev. Mat. Iberoamericana, Madrid, 1997), pp. 73–130
R.A. Doney, R.A. Maller, Stability and attraction to normality for Lévy processes at zero and infinity. J. Theor. Probab. 15, 751–792 (2002)
K.B. Erickson, R.A. Maller, Generalised Ornstein-Uhlenbeck processes and the convergence of Lévy integrals, in Séminaire de Probabilités XXXVIII, ed. by M. Emery, M. Ledoux, M., Yor. Lecture Notes in Mathematics, vol. 1857 (Springer, Berlin, 2005), pp. 70–94
H.K. Gjessing, J. Paulsen, Present value distributions with applications to ruin theory and stochastic equations. Stoch. Process. Appl. 71, 123–144 (1997)
B. Haas, V. Rivero, Quasi-stationary distributions and Yaglom limits of self-similar Markov processes. Stoch. Process. Appl. 122, 4054–4095 (2012)
Z.J. Jurek, J.D. Mason, Operator-Limit Distributions in Probability Theory (Wiley, New York, 1993)
Z.J. Jurek, W. Vervaat, An integral representation for self-decomposable Banach space valued random variables. Z. Wahrsch. Verw. Gebiete 62, 247–262 (1983)
O. Kallenberg, Foundations of Modern Probability, 2nd edn. (Springer, Berlin, 2001)
A. Kuznetsov, J.C. Pardo, M. Savov, Distributional properties of exponential functionals of Lévy processes. Electron. J. Probab. 17, 1–35 (2012)
T. Liggett, Continuous Time Markov Processes. An Introduction. AMS Graduate Studies in Mathematics, vol. 113 (American Mathematical Society, Providence, RI, 2010)
A. Lindner, R. Maller, Lévy integrals and the stationarity of generalised Ornstein-Uhlenbeck processes. Stoch. Process. Appl. 115, 1701–1722 (2005)
J.G. Llavona, Approximation of Continuously Differentiable Functions. Mathematics Studies, vol. 130 (North-Holland, Amsterdam, 1986)
T. Nilsen, J. Paulsen, On the distribution of a randomly discounted compound Poisson process. Stoch. Process. Appl. 61, 305–310 (1996)
J.C. Pardo, V. Rivero, K. van Schaik, On the density of exponential functionals of Lévy processes. Bernoulli 19 (5A), 1938–1964 (2013)
K. Sato, Class L of multivariate distributions and its subclasses. J. Multivar. Anal. 10, 207–232 (1980)
K. Sato, Transformations of infinitely divisible distributions via improper stochastic integrals. ALEA 3, 67–110 (2007)
K. Sato, Lévy Processes and Infinitely Divisible Distributions, revised edn. (Cambridge University Press, Cambridge, 2013)
R.L. Schilling, R. Song, Z. Vondracek, Bernstein Functions. Theory and Applications, 2nd edn. De Gruyter Studies in Mathematics, vol. 37 (Walter de Gruyter, Berlin, 2012)
F.W. Steutel, K. van Harn, Infinite Divisibility of Probability Distributions on the Real Line (Dekker, New York, 2003)
S.J. Wolfe, On a continuous analogue of the stochastic difference equation X n = ρ X n−1 + B n . Stoch. Process. Appl. 12, 301–312 (1982)
Acknowledgements
We would like to thank the anonymous referee for valuable suggestions which helped to improve the exposition of the manuscript. Makoto Maejima’s research was partially supported by JSPS Grand-in-Aid for Science Research 22340021.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Behme, A., Lindner, A., Maejima, M. (2016). On the Range of Exponential Functionals of Lévy Processes. In: Donati-Martin, C., Lejay, A., Rouault, A. (eds) Séminaire de Probabilités XLVIII. Lecture Notes in Mathematics(), vol 2168. Springer, Cham. https://doi.org/10.1007/978-3-319-44465-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-44465-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44464-2
Online ISBN: 978-3-319-44465-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)