New Nonlinear Jump Diffusion Models for Stock Price and Option Pricing

2010 ◽  
Author(s):  
Huadong (Henry) Pang
2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Kaili Xiang ◽  
Yindong Zhang ◽  
Xiaotong Mao

Option pricing is always one of the critical issues in financial mathematics and economics. Brownian motion is the basic hypothesis of option pricing model, which questions the fractional property of stock price. In this paper, under the assumption that the exchange rate follows the extended Vasicek model, we obtain the closed form of the pricing formulas for two kinds of power options under fractional Brownian Motion (FBM) jump-diffusion models.


2018 ◽  
Vol 54 (2) ◽  
pp. 695-727 ◽  
Author(s):  
Bruno Feunou ◽  
Cédric Okou

Advances in variance analysis permit the splitting of the total quadratic variation of a jump-diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions. To appraise the economic gain of this decomposition, we design a new and flexible option pricing model in which the underlying asset price exhibits distinct upside and downside semivariance dynamics driven by the model-free proxies of the variances. The new model outperforms common benchmarks, especially the alternative that splits the quadratic variation into diffusive and jump components.


2014 ◽  
Vol 256 ◽  
pp. 152-167 ◽  
Author(s):  
Massimo Costabile ◽  
Arturo Leccadito ◽  
Ivar Massabó ◽  
Emilio Russo

2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
M.-C. Casabán ◽  
R. Company ◽  
L. Jódar ◽  
J.-V. Romero

A new discretization strategy is introduced for the numerical solution of partial integrodifferential equations appearing in option pricing jump diffusion models. In order to consider the unknown behaviour of the solution in the unbounded part of the spatial domain, a double discretization is proposed. Stability, consistency, and positivity of the resulting explicit scheme are analyzed. Advantages of the method are illustrated with several examples.


2014 ◽  
Vol 42 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Daniel Wei-Chung Miao ◽  
Xenos Chang-Shuo Lin ◽  
Wan-Ling Chao

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