Smiling Hyperbolas

A. Polishchuk
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Abstract

We propose using hyperbolic splines for arbitrage free interpolation of implied volatilities in the strike domain. Hyperbolic splines allow for perfect fit to input data and have carry computational cost since there is no root finding or calibration: spline parameters are expressed directly in terms of elementary mathematical functions. We demonstrate that hyperbolic splines work just as well in the extrapolation region providing a tool for fixing wings produced by arbitrage prone methods. Finally we present a family of global hyperbolic splines that have time-dependent extensions with an intuitive interpretation in terms of local diffusions coupled with a jump to default.
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微笑的双曲线
我们提出了使用双曲样条对走向域的隐含波动率进行无套利插值。双曲样条可以完美地拟合输入数据,并且由于没有查找根或校准,因此具有计算成本:样条参数直接用初等数学函数表示。我们证明了双曲样条在外推区域同样有效,为固定由套利倾向方法产生的机翼提供了一种工具。最后,我们给出了一类全局双曲样条,它们具有随时间变化的扩展,并能直观地解释局部扩散与跳跃到默认值的关系。
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