Performance of hedging strategies in interval models
Kybernetika, Tome 41 (2005) no. 5, pp. 575-592 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

Voir la notice de l'article

For a proper assessment of risks associated with the trading of derivatives, the performance of hedging strategies should be evaluated not only in the context of the idealized model that has served as the basis of strategy development, but also in the context of other models. In this paper we consider the class of so-called interval models as a possible testing ground. In the context of such models the fair price of a derivative contract is not uniquely determined and we characterize the interval of fair prices for European-style options with convex payoff both in terms of strategies and in terms of martingale measures. We compare interval models to tree models as a basis for worst-case analysis. It turns out that the added flexibility of the interval model may have an important effect on the size of the worst-case loss.
For a proper assessment of risks associated with the trading of derivatives, the performance of hedging strategies should be evaluated not only in the context of the idealized model that has served as the basis of strategy development, but also in the context of other models. In this paper we consider the class of so-called interval models as a possible testing ground. In the context of such models the fair price of a derivative contract is not uniquely determined and we characterize the interval of fair prices for European-style options with convex payoff both in terms of strategies and in terms of martingale measures. We compare interval models to tree models as a basis for worst-case analysis. It turns out that the added flexibility of the interval model may have an important effect on the size of the worst-case loss.
Classification : 60G99, 62E10, 62P05, 91B28, 91G20, 91G70
Keywords: uncertain volatility; robustness; option pricing; delta hedging; binomial tree martingale measure
@article{KYB_2005_41_5_a1,
     author = {Roorda, Berend and Engwerda, Jacob and Schumacher, J. M.},
     title = {Performance of hedging strategies in interval models},
     journal = {Kybernetika},
     pages = {575--592},
     year = {2005},
     volume = {41},
     number = {5},
     mrnumber = {2192424},
     zbl = {1249.62013},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2005_41_5_a1/}
}
TY  - JOUR
AU  - Roorda, Berend
AU  - Engwerda, Jacob
AU  - Schumacher, J. M.
TI  - Performance of hedging strategies in interval models
JO  - Kybernetika
PY  - 2005
SP  - 575
EP  - 592
VL  - 41
IS  - 5
UR  - http://geodesic.mathdoc.fr/item/KYB_2005_41_5_a1/
LA  - en
ID  - KYB_2005_41_5_a1
ER  - 
%0 Journal Article
%A Roorda, Berend
%A Engwerda, Jacob
%A Schumacher, J. M.
%T Performance of hedging strategies in interval models
%J Kybernetika
%D 2005
%P 575-592
%V 41
%N 5
%U http://geodesic.mathdoc.fr/item/KYB_2005_41_5_a1/
%G en
%F KYB_2005_41_5_a1
Roorda, Berend; Engwerda, Jacob; Schumacher, J. M. Performance of hedging strategies in interval models. Kybernetika, Tome 41 (2005) no. 5, pp. 575-592. http://geodesic.mathdoc.fr/item/KYB_2005_41_5_a1/

[1] Artzner P., Delbaen F., Eber J.-M., Heath D.: Coherent measures of risk. Math. Finance 9 (1999), 3, 203–228 | DOI | MR | Zbl

[2] Avellaneda M., Levy, A., Parás A.: Pricing and hedging derivative securities in markets with uncertain volatilities. Appl. Math. Finance 2 (1995), 73–88 | DOI

[3] System, Basle Comittee on the Global Financial: Stress testing by large financial institutions: current practice and aggregation issues, March 200.

[4] Bernhard P.: A robust control approach to option pricing. In: Applications of Robust Decision Theory and Ambiguity in Finance (M. Salmon, ed.), City University Press, London 2003

[5] Bernhard P.: Robust control approach to option pricing, including transaction costs. In: Advances in Dynamic Games, Annals of the International Society of Dynamic Games, Vol. 7 (A. S. Nowak and K. Szajowski, eds.), Birkhäuser, Basel 2003 | MR | Zbl

[6] Black F., Scholes M.: The pricing of optional and corporate liabilities. J. Political Economy 81 (1973), 637–659 | DOI

[7] Cox J., Ross, S., Rubinstein M.: Option pricing: a simplified approach. J. Financial Economics 7 (1979), 229–263 | DOI | Zbl

[8] Greenspan A.: Greenspan’s plea for stress testing. Risk 13 (2000), 53–55

[9] Howe M. A., Rustem B.: A robust hedging algorithm. J. Econom. Dynamics Control 21 (1997), 1065–1092 | DOI | MR | Zbl

[10] Karoui N. El, Quenez M.-C.: Dynamic programming and pricing of contingent claims in an incomplete market. SIAM J. Control Optim. 33 (1995), 29–66 | DOI | MR | Zbl

[11] Kolokoltsov V. N.: Nonexpansive maps and option pricing theory. Kybernetika 34 (1998), 713–724 | MR

[12] Laubsch A. J.: Stress testing. Chapter 2 in Risk Management – A Practitioners Guide, Risk Metrics Group, pp. 21–37, 1999

[13] Lyons T. J.: Uncertain volatility and the risk-free synthesis of derivatives. Appl. Math. Finance 2 (1995), 177–133 | DOI

[14] Pliska S. R.: Introduction to Mathematical Finance – Discrete Time Models. Blackwell, Oxford 1997

[15] Magazine, Risk: Value at Risk. Risk Magazine Special Supplement (June 1996), 68–71

[16] Wilmott P.: Derivatives – The Theory and Practice of Financial Engineering. Wiley, Chichester 1998