Taking the Knightian uncertainty of financial market into consideration, the randomness and fuzziness of stock price should been evaluated by both probabilistic expectation and fuzzy expectation. We make use of parabolic type fuzzy numbers to discuss the fuzzy binomial option pricing model with uncertainty of both randomness and fuzziness, and derive expression for the fuzzy risk neutral probabilities, along with fuzzy expression for the fuzzy call prices. As a consequence, we obtain weighted intervals for the risk neutral probabilities and for the expected fuzzy call price. The empirical research of an actual warrant from the China financial market shows that the fuzzy models presented in this paper should do better than traditional binomial tree model in forecasting market price. This will allow a financial analyst to choose the European price at his acceptable degree of belief and make their investment strategy.
[1]
Earl Cox,et al.
The fuzzy systems handbook
,
1994
.
[2]
Christer Carlsson,et al.
A Fuzzy Approach to Real Option Valuation
,
2002,
Fuzzy Sets Syst..
[3]
Zdenek Zmeskal,et al.
Application of the Fuzzy - Stochastic Methodology to Appraising the Firm Value as a European Call Option
,
2001,
Eur. J. Oper. Res..
[4]
F. Knight.
The economic nature of the firm: From Risk, Uncertainty, and Profit
,
2009
.
[5]
S. Ross,et al.
Option pricing: A simplified approach☆
,
1979
.
[6]
Hsien-Chung Wu,et al.
Pricing European options based on the fuzzy pattern of Black-Scholes formula
,
2004,
Comput. Oper. Res..
[7]
Marco Avellaneda,et al.
Managing the volatility risk of portfolios of derivative securities: the Lagrangian uncertain volatility model
,
1996
.