American option prices in a Markov chain market model
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Publication:5414495
DOI10.1002/asmb.893zbMath1286.91143OpenAlexW1997696130MaRDI QIDQ5414495
John van der Hoek, Robert J. Elliott
Publication date: 6 May 2014
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asmb.893
Stochastic models in economics (91B70) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Derivative securities (option pricing, hedging, etc.) (91G20)
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Cites Work
- Unnamed Item
- An alternative approach to the valuation of American options and applications
- On the theory of option pricing
- Probability methods for approximations in stochastic control and for elliptic equations
- Optimal stopping and free boundary problems
- Front-tracking finite difference methods for the valuation of American options
- Approximations for the values of american options
- Optimal Stopping and the American Put
- ALTERNATIVE CHARACTERIZATIONS OF AMERICAN PUT OPTIONS
- Functional Analysis
- Valuing American Options by Simulation: A Simple Least-Squares Approach
- Option pricing: A simplified approach
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