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A Bayesian Time Varying Approach to Risk Neutral Density Estimation
- Source :
- Journal of the Royal Statistical Society Series A: Statistics in Society. 182:165-195
- Publication Year :
- 2018
- Publisher :
- Oxford University Press (OUP), 2018.
-
Abstract
- Summary We expand the literature of risk neutral density estimation across maturities from implied volatility curves, which are usually estimated and interpolated through cubic smoothing splines. The risk neutral densities are computed through the second derivative, which we extend through a Bayesian approach to the problem, featuring an extension to a multivariate setting across maturities and over time, a flexible estimation approach for the smoothing parameter, which is traditionally assumed common to all assets, known and fixed across maturities and time, but now potentially different between assets and maturities, and over time, and information borrowing about the implied curves and risk neutral densities not only across different option maturities, but also dynamically.
- Subjects :
- Statistics and Probability
Economics and Econometrics
Non-parametric risk neutral densities
Bayesian inference
Bayesian probability
Settore SECS-P/05 - Econometria
Implied volatility
01 natural sciences
Risk neutral
010104 statistics & probability
Smoothing spline
0502 economics and business
Econometrics
0101 mathematics
Second derivative
Mathematics
Cubic smoothing splines
Dynamic linear models
Smoothing parameter estimation
050208 finance
05 social sciences
Density estimation
Statistics, Probability and Uncertainty
Settore SECS-S/01 - Statistica
Social Sciences (miscellaneous)
Smoothing
Subjects
Details
- ISSN :
- 1467985X and 09641998
- Volume :
- 182
- Database :
- OpenAIRE
- Journal :
- Journal of the Royal Statistical Society Series A: Statistics in Society
- Accession number :
- edsair.doi.dedup.....9d50ff52bdb585e3ac0713839ab0a984