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SABR volatility model : ウィキペディア英語版
SABR volatility model
In mathematical finance, the SABR model is a stochastic volatility model, which attempts to capture the volatility smile in derivatives markets. The name stands for "stochastic alpha, beta, rho", referring to the parameters of the model. The SABR model is widely used by practitioners in the financial industry, especially in the interest rate derivative markets. It was developed by Patrick S. Hagan, Deep Kumar, Andrew Lesniewski, and Diana Woodward.
== Dynamics ==

The SABR model describes a single forward F, such as a LIBOR forward rate, a forward swap rate, or a forward stock price. The volatility of the forward F is described by a parameter \sigma. SABR is a dynamic model in which both F and \sigma are represented by stochastic state variables whose time evolution is given by the following system of stochastic differential equations:
:dF_t=\sigma_t F^\beta_t\, dW_t,
:d\sigma_t=\alpha\sigma^{}_t\, dZ_t,
with the prescribed time zero (currently observed) values F_0 and \sigma_0. Here, W_t and Z_t are two correlated Wiener processes with correlation coefficient -1<\rho<1:
:dW_t dZ_t = \rho dt
The constant parameters \beta,\;\alpha satisfy the conditions 0\leq\beta\leq 1,\;\alpha\geq 0.
The above dynamics is a stochastic version of the CEV model with the ''skewness'' parameter \beta: in fact, it reduces to the CEV model if \alpha=0 The parameter \alpha is often referred to as the ''volvol'', and its meaning is that of the lognormal volatility of the volatility parameter \sigma.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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