Constant Elasticity Of Variance Model
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mathematical finance Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets. In general, there exist two separate branches of finance that require ...
, the CEV or constant elasticity of variance model is a stochastic volatility model that attempts to capture stochastic volatility and the leverage effect. The model is widely used by practitioners in the financial industry, especially for modelling equities and
commodities In economics, a commodity is an economic good, usually a resource, that has full or substantial fungibility: that is, the market treats instances of the good as equivalent or nearly so with no regard to who produced them. The price of a comm ...
. It was developed by John Cox in 1975.


Dynamic

The CEV model describes a process which evolves according to the following stochastic differential equation: :\mathrmS_t = \mu S_t \mathrmt + \sigma S_t ^ \gamma \mathrmW_t in which ''S'' is the spot price, ''t'' is time, and ''μ'' is a parameter characterising the drift, ''σ'' and ''γ'' are other parameters, and ''W'' is a Brownian motion. And so we have :\sigma(S_t, t)=\sigma S_t^ The constant parameters \sigma,\;\gamma satisfy the conditions \sigma\geq 0,\;\gamma\geq 0. The parameter \gamma controls the relationship between volatility and price, and is the central feature of the model. When \gamma < 1 we see an effect, commonly observed in equity markets, where the volatility of a stock increases as its price falls and the leverage ratio increases. Conversely, in commodity markets, we often observe \gamma > 1,Geman, H, and Shih, YF. 2009. "Modeling Commodity Prices under the CEV Model." The Journal of Alternative Investments 11 (3): 65–84. whereby the volatility of the price of a commodity tends to increase as its price increases and leverage ratio decreases. If we observe \gamma = 0 this model is considered the model which was proposed by Louis Bachelier in his PhD Thesis "The Theory of Speculation".


See also

* Volatility (finance) * Stochastic volatility * SABR volatility model * CKLS process


References


External links


Asymptotic Approximations to CEV and SABR ModelsPrice and implied volatility under CEV model with closed formulas, Monte-Carlo and Finite Difference MethodPrice and implied volatility of European options in CEV Model
delamotte-b.fr {{Stochastic processes Options (finance) Derivatives (finance) Financial models