B. Ruijun
Estimating option implied risk-neutral densities using spline and hypergeometric functions
Ruijun, B.; Hadri, K.
Authors
K. Hadri
Abstract
We examine the ability of two recent methods – the smoothed implied volatility smile method (SML) and the density functionals based on confluent hypergeometric functions (DFCH) – for estimating implied risk-neutral densities (RNDs) from European-style options. Two complementary Monte Carlo experiments are conducted and the performance of the two RND estimators is evaluated by the root mean integrated squared error (RMISE) criterion. Results from both experiments show that the DFCH method outperforms the SML method for the overall quality of the estimated RNDs concerning both accuracy and stability. An application of the two methods to the OTC currency options market is also presented.
Citation
Ruijun, B., & Hadri, K. (2007). Estimating option implied risk-neutral densities using spline and hypergeometric functions. The Econometrics Journal, 10(2), 216-244. https://doi.org/10.1111/j.1368-423x.2007.00206.x
Journal Article Type | Article |
---|---|
Publication Date | Jul 1, 2007 |
Deposit Date | Aug 19, 2008 |
Journal | Econometrics Journal |
Print ISSN | 1368-4221 |
Electronic ISSN | 1368-423X |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 10 |
Issue | 2 |
Pages | 216-244 |
DOI | https://doi.org/10.1111/j.1368-423x.2007.00206.x |
Public URL | https://durham-repository.worktribe.com/output/1578932 |
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