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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 , such as a LIBOR forward rate, a forward swap rate, or a forward stock price. The volatility of the forward is described by a parameter . SABR is a dynamic model in which both and are represented by stochastic state variables whose time evolution is given by the following system of stochastic differential equations: : : with the prescribed time zero (currently observed) values and . Here, and are two correlated Wiener processes with correlation coefficient : : The constant parameters satisfy the conditions . The above dynamics is a stochastic version of the CEV model with the ''skewness'' parameter : in fact, it reduces to the CEV model if The parameter is often referred to as the ''volvol'', and its meaning is that of the lognormal volatility of the volatility parameter . 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「SABR volatility model」の詳細全文を読む スポンサード リンク
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