Scaling and long-range dependence in option pricing I: Pricing European option with transaction costs under the fractional Black–Scholes model

2010 ◽  
Vol 389 (3) ◽  
pp. 438-444 ◽  
Author(s):  
Xiao-Tian Wang
Keyword(s):  
Option Pricing ◽  
Transaction Costs ◽  
Long Range ◽  
Long Range Dependence ◽  
European Option ◽  
Black Scholes Model ◽  
Black Scholes

A Binary Option Pricing Based on Fuzziness

2014 ◽  
Vol 13 (06) ◽  
pp. 1211-1227 ◽  
Author(s):  
Masatoshi Miyake ◽  
Hiroshi Inoue ◽  
Jianming Shi ◽  
Tetsuya Shimokawa
Keyword(s):  
Monte Carlo ◽  
Option Pricing ◽  
Primary Role ◽  
Pricing Model ◽  
European Option ◽  
Over The Counter ◽  
Black Scholes Model ◽  
Black Scholes ◽  
Fuzzy Boundary

In pricing for European option Black–Scholes model has been widely used in various fields in which the model can be applied under appropriate conditions. In this paper, we discuss a binary option, which is popular in OTC (Over the Counter) market for hedging and speculation. In particular, asset-or-nothing option is basic for any other options but gives essential implications for constructing more complex option products. In addition to the primary role of the asset-or-nothing option, another availability of the option is considered by introducing fuzzy concept. Therefore, the uncertainty which an investor and intermediary usually have in their minds is incorporated in the pricing model. Thus, the model is described with fuzzy boundary conditions and applied to the conventional binary option, proposing more useful and actual pricing way of the option. This methodology with the analysis is examined, comparing with Monte Carlo simulations.

scholarly journals Robust option replication for a Black-Scholes model extended with nondeterministic trends

1999 ◽  
Vol 12 (2) ◽  
pp. 113-120 ◽  
Author(s):  
John G. M. Schoenmakers ◽  
Peter E. Kloeden
Keyword(s):  
Statistical Analysis ◽  
Stock Prices ◽  
Integration Theory ◽  
Long Range Dependence ◽  
Stochastic Integration ◽  
Classical Concept ◽  
European Option ◽  
Black Scholes Model ◽  
Black Scholes ◽  
Replicating Portfolio

Statistical analysis on various stocks reveals long range dependence behavior of the stock prices that is not consistent with the classical Black and Scholes model. This memory or nondeterministic trend behavior is often seen as a reflection of market sentiments and causes that the historical volatility estimator becomes unreliable in practice. We propose an extension of the Black and Scholes model by adding a term to the original Wiener term involving a smoother process which accounts for these effects. The problem of arbitrage will be discussed. Using a generalized stochastic integration theory [8], we show that it is possible to construct a self financing replicating portfolio for a European option without any further knowledge of the extension and that, as a consequence, the classical concept of volatility needs to be re-interpreted.

Comparison of European Option Pricing Models at Multiple Periods

2021 ◽  
pp. 149-166
Author(s):  
Amir Ahmad Dar ◽  
N. Anuradha ◽  
Ziadi Nihel
Keyword(s):  
Option Pricing ◽  
Graphical Representation ◽  
European Option ◽  
Pricing Models ◽  
European Option Pricing ◽  
Black Scholes Model ◽  
Time Period ◽  
Black Scholes ◽  
Option Pricing Model ◽  
Anderson Darling

The point of this chapter is to think about the correlation of two well-known European option pricing models – Black Scholes Model and Binomial Option Pricing Model. The above two models not statistically significant at one period. In this examination, it is shown how the above two European models are statistically significant when the time period increases. The independent paired t-test is utilized with the end goal to demonstrate that they are statistically significant to vary from one another at higher time period and the Anderson Darling test being used for the normality test. The Minitab and Excel programming has been utilized for graphical representation and the hypothesis testing.

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