Estimation of Risk-Neutral Densities Using Positive Convolution Approximation
By O. Bondarenko. 2003
123 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/bcea7c8c40d423e23ef857b5a810a55903c7d1ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Jean-Pierre Florens
- M. Carrasco
- David Benatia
- Léopold Simar
- Nathan Kallus
- Masatoshi Uehara
- Xiaohong Chen
- Christian Hansen
In Finance
- Jean-Pierre Florens
- M. Carrasco
- David Benatia
- Christian Hansen
- S. Chen
- Liangjun Su
- Jushan Bai
- Serena Ng
Citations in the corpus
- Estimating option implied risk‐neutral densities using spline and hypergeometric functions (2007, unknown): “Söderlind (2000) and Bondarenko (2003) both estimated implied RNDs from observed option prices and then applied Monte Carlo methods to the tted option prices based on presumed error distributions.”
- Robust Replication of Volatility Derivatives (2008, unknown): “The variance swap value (which equals the log-contract value) is 0.04; and its square root (which we denote by VAR0 = √ E0〈X〉T as in Section 6.1, and which the VIX seeks to approximate) is 0.20, regardless of ρ.”
- Functional linear regression with functional response (2017, background): “Many papers have proposed nonparametric estimators of the RND before, among others Jackwerth and Rubinstein (1996), Ait-Sahalia and Lo (1998), Garcia and Gençay (2000), AitSahalia, Wang, and Yared (2001), and Bondarenko (2003).”
- Why are Put Options so Expensive (2014, unknown): “To test whether explanations E1-E3 have merit, we implement a new methodology proposed in Bondarenko (2003a).”