Option price intervals based on bellman dynamic programming principle

The assumption of constant underlying's volatility in Black-Scholes formula cannot be satisfied in financiap market. In this paper, we get the option price intervals assuming the stock volatility lies within a given interval. First we transform this financial problem to a stochastic optimal con...

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Bibliographic Details
Published inThe 27th Chinese Control and Decision Conference (2015 CCDC) pp. 2227 - 2230
Main Author Yulin Du
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2015
Subjects
Arbitrage opportunity identifying
Assumption of constant volatility
Black-Scholes formula
Dynamic programming
Dynamic Programming Princip
Mathematical model
Optimal control
Partial differential equations
Portfolios
Pricing
Stochastic processes
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Summary:The assumption of constant underlying's volatility in Black-Scholes formula cannot be satisfied in financiap market. In this paper, we get the option price intervals assuming the stock volatility lies within a given interval. First we transform this financial problem to a stochastic optimal control problem, then obtain options' maximum and minimum price models through dynamic programming principle. We solve the nonlinear PDE model and narrow the price interval through optimal static hedging. We conclude this paper by giving its applications in U.S.A option market, get the MCD options intervals, comparing with Black-scholes, and find a way to identify arbitrage opportunity in option markets.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2015.7162291