2023
Nonparametric estimates of option prices via Hermite basis functions
Annals of Finance
We extensively investigate the empirical performance of approximate pricing formulas for European options based on approximating the logarithmic return’s density of the underlying by a linear combination of rescaled Hermite polynomials. Empirical results suggest that such approximate pricing formulas, when compared with simple nonparametric estimates based on interpolation and extrapolation on the implied volatility curve, perform reasonably well only for options with strike price not too far apart from the strike prices of the observed sample.
2022
Estimating tail-risk using semiparametric conditional variance with an application to meme stocks
International Review of Economics & Finance
Machine Learning-Driven Credit Risk: a Systemic Review
Neural Computing and Application