An Option Pricing Model with Liquidity Adjustment of Underlying Asset

2015 ◽  
Author(s):  
Hui Lin ◽  
Yang Yang
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.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Guoyi Zhang

The optimal geometric mean return is an important property of an asset. As a derivative of the underlying asset, the option also has this property. In this paper, we show that the optimal geometric mean returns of a stock and its option are the same from Kelly criterion. It is proved by using binomial option pricing model and continuous stochastic models with self-financing assumption. A simulation study reveals the same result for the continuous option pricing model.


1999 ◽  
Vol 2 (4) ◽  
pp. 75-116 ◽  
Author(s):  
Jin-Chuan Duan ◽  
Geneviève Gauthier ◽  
Jean-Guy Simonato

1982 ◽  
Vol 11 (1) ◽  
pp. 58 ◽  
Author(s):  
N. Bulent Gultekin ◽  
Richard J. Rogalski ◽  
Seha M. Tinic

2016 ◽  
Vol 91 ◽  
pp. 175-179
Author(s):  
Saebom Jeon ◽  
Won Chang ◽  
Yousung Park

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