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Backward Stochastic Differential Equations. Option Hedging under Additional Cost

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Seminar on Stochastic Analysis, Random Fields and Applications

Part of the book series: Progress in Probability ((PRPR,volume 36))

Abstract

In a general incomplete model of a financial market we hedge contingent claims by using trading strategies with a small riskyness and consider additional cost which can come, e. g., from greater interests for borrowing and taxes on wealth. The explicit form of the optimal strategy minimizing locally riskyness (in Schweizer’s sense) and the associated price of the contingent claim is determined in the Markovian case, first for a small investor, and then for a greater investor who influences the stock price.

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References

  1. Bensoussan, A., Lions, J. L., Contrôle Impulsionel et Inéquations quasi variationelles, Bordas, Paris, 1982.

    Google Scholar 

  2. Buckdahn, R., Backward stochastic differential equations driven by a martingale,Prépublication 93–05, URA 225 Université de Provence, Marseille.

    Google Scholar 

  3. Buckdahn, R., Pardoux, E., Backward stochastic differential equations. Application to finance,in preparation.

    Google Scholar 

  4. Duffle, D., Ma, J., Yong, J., Black’s consol rate conjecture, Preprint, 1993.

    Google Scholar 

  5. El Karoui, N., Quenez, M.-C., Dynamic Programming and Pricing of Contingent Claims in an Incomplete Market, Thèse de Doctorat de l’Université Paris VI présentée par M.-C. Quenez, 1993.

    Google Scholar 

  6. Fujiwara, T., Kunita, H., Stochastic differential equation of jump type and Lévy processes in diffeomorphisms group, J. Math. Kyoto Univ. 25–1 (1985), 71–106.

    Google Scholar 

  7. Föllmer, H., Sondermann, D., Hedging of non-redundant contingent claims,in: Contributions to Mathematical Economics (W. Hildenbrand and A. Mas-Colell, eds.), 1986, pp. 205223.

    Google Scholar 

  8. Ma, J., Protter, P., Yong, J., Solving forward-backward stochastic differential equations explicitly - A four step scheme, preprint, 1993.

    Google Scholar 

  9. Ma, J., Yong, J., Solving forward-backward SDEs and the nodal set of Hamilton-JacobiBellman equations, preprint, 1993.

    Google Scholar 

  10. Pardoux, E., Peng, S., Adapted solution of a backward stochastic differential equation, Systems and Control Letters 14 (1990), 55–61.

    Article  MathSciNet  MATH  Google Scholar 

  11. Pardoux, E., Peng, S., Backward stochastic differential equations and quasilinear parabolic partial differential equations,Prepublication 92–03, URA 225, Université de Provence, Marseille.

    Google Scholar 

  12. Schweizer, M., Option hedging for semimartingales, Stochastic Processes and their Applications 37 (1991), 339–363.

    Google Scholar 

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© 1995 Springer Basel AG

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Buckdahn, R. (1995). Backward Stochastic Differential Equations. Option Hedging under Additional Cost. In: Bolthausen, E., Dozzi, M., Russo, F. (eds) Seminar on Stochastic Analysis, Random Fields and Applications. Progress in Probability, vol 36. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-7026-9_21

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  • DOI: https://doi.org/10.1007/978-3-0348-7026-9_21

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-7028-3

  • Online ISBN: 978-3-0348-7026-9

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