On Historical Value at Risk under Distribution Uncertainty ()
Abstract
We investigate the asymptotics of the historical value-at-risk under capacities defined by sublinear expectations. By generalizing Glivenko-Cantelli lemma, we show that the historical value-at-risk eventually lies between the upper and lower value-at-risks quasi surely.
Share and Cite:
Iizuka, A. and Nakano, Y. (2015) On Historical Value at Risk under Distribution Uncertainty.
Journal of Mathematical Finance,
5, 113-115. doi:
10.4236/jmf.2015.52010.
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1]
|
McNeil, A. J., Frey, R. and Embrechts, P. (2005) Quantitative Risk Management: Concepts, Techniques and Tools. Princeton University Press, Princeton.
|
[2]
|
Föllmer, H. and Schied, A. (2004) Stochastic Finance: An Introduction in Discrete Time. 2nd Edition, Walter de Gruyter, Berlin.
http://dx.doi.org/10.1515/9783110212075
|
[3]
|
Knight, F.H. (1921) Risk, Uncertainty, and Profit. Houghton Mifflin, Boston.
|
[4]
|
Peng, S. (2006) G-Expectation, G-Brownian Motion and Related Stochastic Calculus of Itô’s type, In: Benth, F.E., et al., Eds., Stochastic Analysis and Applications: The Abel Symposium 2005, Springer-Verlag, Berlin, 541-567.
|
[5]
|
Peng, S. (2010) Nonlinear Expectations and Stochastic Calculus under Uncertainty. arXiv:1002.4546[math.PR]
|
[6]
|
Denneberg, D. (1994) Non-Additive Measure and Integral. Kluwer Academic Publishers, Dordrecht.
http://dx.doi.org/10.1007/978-94-017-2434-0
|
[7]
|
Chen, Z. (2010) Strong Laws of Large Numbers for Capacities. arXiv:1006.0749[math.PR]
|