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Archive for June 17th, 2011

SABR model calibration

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Don’t use this!

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. It was developed by Patrick Hagan, Deep Kumar, Andrew Lesniewski, and Diana Woodward.

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 σ. SABR is a dynamic model in which both F and σ are represented by stochastic state variables whose time evolution is given by the following system of stochastic differential equations:
dF_t = \sigma_t F_t^{\beta} dW_t
d\sigma_t = \alpha\sigma_t dZ_t
Constant parameters should satisfy the condition 0 \leq \beta \leq 1, \alpha \geq 0
Here, W_t and Z_t are two correlated Wiener processes with correlation coefficient -1\leq\rho\leq 1. For simplicity sake, we assume that \rho = 1, therefore, we put Z_t = W_t:
dF_t = \sigma_t F_t^{\beta} dW_t
d\sigma_t = \alpha\sigma_t dW_t

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Written by fxpaul

June 17, 2011 at 09:27

Posted in trading math