Bias reduction in spot volatility estimation from options

Author(s):  
Viktor Todorov ◽  
Yang Zhang
2014 ◽  
Author(s):  
Maria Elvira Mancino ◽  
Imma Valentina Curato ◽  
Maria Cristina Recchioni

2018 ◽  
Vol 6 ◽  
pp. 22-43 ◽  
Author(s):  
Imma Valentina Curato ◽  
Maria Elvira Mancino ◽  
Maria Cristina Recchioni

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jingwei Cai

We consider nonparametric spot volatility estimation for diffusion models with discrete high frequency observations. Our estimator is carried out in two steps. First, using the local average of the range-based variance, we propose a crude estimator of the spot volatility. Second, we use usual nonparametric kernel smoothing to reconstruct the volatility function from the crude estimator. By inference, we find such a double smoothing operation can effectively reduce the estimation error.


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