Option Pricing For Incomplete Markets Via Stochastic Optimization: Transaction Costs, Adaptive Control And Forecast
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DOI: 10.1142/S0219024901000912
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Cited by:
- Yuji Yamada & James Primbs, 2004. "Properties of Multinomial Lattices with Cumulants for Option Pricing and Hedging," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 11(3), pages 335-365, September.
- Sergei Fedotov & Abby Tan, 2004. "Long memory stochastic volatility in option pricing," Papers cond-mat/0403761, arXiv.org, revised Sep 2004.
- Sergei Fedotov & Stephanos Panayides, 2004. "An Adaptive Method for Valuing an Option on Assets with Uncertainty in Volatility," Papers cond-mat/0410294, arXiv.org, revised Jan 2006.
- Valeriy Ryabchenko & Sergey Sarykalin & Stan Uryasev, 2004. "Pricing European Options by Numerical Replication: Quadratic Programming with Constraints," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 11(3), pages 301-333, September.
- Coleman, Thomas F. & Levchenkov, Dmitriy & Li, Yuying, 2007. "Discrete hedging of American-type options using local risk minimization," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3398-3419, November.
- Gerasimos G. Rigatos, 2016. "Boundary Control Of The Black–Scholes Pde For Option Dynamics Stabilization," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-29, June.
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Keywords
Option pricing; incomplete markets; stochastic optimization; transaction costs; adaptive control; forecast;All these keywords.
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