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We document the calibration of the local volatility in terms of local and implied instantaneous variances; we first explore the theoretical properties of the method for a particular class of volatilities. We confirm the theoretical results through a numerical procedure which uses a Gauss-Newton...
Persistent link: https://www.econbiz.de/10008791649
We document the calibration of the local volatility in a frame- work similar to Coleman, Li and Verma. The quality of a surface is assessed through a functional to be optimized; the specificity of the approach is to separate the optimization (performed with any suitable optimization algorithm)...
Persistent link: https://www.econbiz.de/10008793173
We consider a two-period model in which a continuum of agents trade in a context of costly information acquisition and systematic heterogeneous expectations biases. Because of systematic biases agents are supposed not to learn from others' decisions. In a previous work under somehow strong...
Persistent link: https://www.econbiz.de/10010898572
We investigate in this paper a perpetual prepayment option related to a corporate loan.The default intensity of the firmis supposed to follow a CIR process. We assume that the contractual margin of the loan is defined by the credit quality of the borrower and the liquidity cost that reflects the...
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We investigate in this paper the recovery of the local volatility surface in a parametric framework similar to that of Coleman, Li and Verma [4]. The quality of a surface is assessed through a functional which is optimized; the specificity of the approach is to separate the optimization on the...
Persistent link: https://www.econbiz.de/10010905049
We document the calibration of the local volatility in a framework similar to Coleman, Li and Verma. The quality of a surface is assessed through a functional to be optimized; the specificity of the approach is to separate the optimization (performed with any suitable optimization algorithm) from...
Persistent link: https://www.econbiz.de/10008541553