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Implicit quantiles and expectiles
- Source :
- Annals of Operations Research. 313:733-753
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- We compute nonparametric and forward-looking option-implied quantile and expectile curves, and we study their properties on a 5-year dataset of weekly options written on the S&P 500 Index. After studying the dynamics of the single curves and their joint behaviour, we investigate the potentiality of these quantities for risk management and forecasting purposes. As an alternative form of variability mesaures, we compute option-implied interquantile and interexpectile differences, that are compared with a weekly VIX-like index. In terms of forecasting power we investigate how different quantities related to the implicit quantile and expectile curves predict future logreturns and future realized variances.
- Subjects :
- 021103 operations research
Index (economics)
0211 other engineering and technologies
Nonparametric statistics
General Decision Sciences
02 engineering and technology
Management Science and Operations Research
Weekly option
Expectile
Risk management
Theory of computation
Econometrics
Risk-neutral distribution
Quantile
Forecasting
Mathematics
Subjects
Details
- ISSN :
- 15729338 and 02545330
- Volume :
- 313
- Database :
- OpenAIRE
- Journal :
- Annals of Operations Research
- Accession number :
- edsair.doi.dedup.....51c5b6531ee5af1d97f4f23b77d96e65