Kurtosis in black-scholes model with Garch volatility
被引:0
作者:
Sheraz, Muhammad
论文数: 0引用数: 0
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机构:
Department of Financial Engineering, Faculty of Science, Ningbo University, ChinaDepartment of Financial Engineering, Faculty of Science, Ningbo University, China
Sheraz, Muhammad
[1
]
Preda, Vasile
论文数: 0引用数: 0
h-index: 0
机构:
Faculty of Mathematics and Computer Science, University of Bucharest, RomaniaDepartment of Financial Engineering, Faculty of Science, Ningbo University, China
Preda, Vasile
[2
]
机构:
[1] Department of Financial Engineering, Faculty of Science, Ningbo University, China
[2] Faculty of Mathematics and Computer Science, University of Bucharest, Romania
来源:
UPB Scientific Bulletin, Series A: Applied Mathematics and Physics
|
2016年
/
78卷
/
01期
关键词:
Electronic trading - Higher order statistics - Commerce - Investments;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
The famous Black-Scholes option pricing model is a mathematical description of financial market and derivative investment instruments [3]. In Black-Scholes model volatility is a constant function, where trading option is indeed risky due to random components such as volatility. The notion of non constant volatility was introduced in GARCH processes [6]. Recently a Black-Scholes model with GARCH volatility has been presented [10]. In this article we derive the kurtosis formula for underlying financial time series using BS-Model with GARCH volatility for the case of at the money option. We present the kurtosis formula in terms of the model's parameters. Also we compare our computational results by using another measure of kurtosis for different values of volatilities.