Multi-jumps
(2015) In Working Papers in Statistics- Abstract
- We provide clear-cut evidence for economically and statistically significant multivariate jumps (multi-jumps) occurring simultaneously in stock prices by using a novel nonparametric test based on smoothed estimators of integrated variances. Detecting multi-jumps in a panel of liquid stocks is more statistically powerful and economically informative than the detection of univariate jumps in the market index.On the contrary of index jumps, multi-jumps can indeed be associated with sudden and large increases of the variance risk-premium, and possess a statistically significant forecasting power for future volatility and correlations which implies a sizable deterioration in the diversification potential of asset allocation.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8052730
- author
- Caporin, Massimiliano ; Kolokolov, Aleksey LU and Reno, Roberto
- organization
- publishing date
- 2015
- type
- Working paper/Preprint
- publication status
- published
- subject
- in
- Working Papers in Statistics
- issue
- 3
- pages
- 64 pages
- publisher
- Department of Statistics, Lund university
- language
- English
- LU publication?
- yes
- id
- bc81d98e-bedd-4eff-8e36-82897ac3ec8b (old id 8052730)
- alternative location
- http://journals.lub.lu.se/index.php/stat/article/view/15034
- date added to LUP
- 2016-04-04 10:29:30
- date last changed
- 2018-11-21 20:59:03
@misc{bc81d98e-bedd-4eff-8e36-82897ac3ec8b, abstract = {{We provide clear-cut evidence for economically and statistically significant multivariate jumps (multi-jumps) occurring simultaneously in stock prices by using a novel nonparametric test based on smoothed estimators of integrated variances. Detecting multi-jumps in a panel of liquid stocks is more statistically powerful and economically informative than the detection of univariate jumps in the market index.On the contrary of index jumps, multi-jumps can indeed be associated with sudden and large increases of the variance risk-premium, and possess a statistically significant forecasting power for future volatility and correlations which implies a sizable deterioration in the diversification potential of asset allocation.}}, author = {{Caporin, Massimiliano and Kolokolov, Aleksey and Reno, Roberto}}, language = {{eng}}, note = {{Working Paper}}, number = {{3}}, publisher = {{Department of Statistics, Lund university}}, series = {{Working Papers in Statistics}}, title = {{Multi-jumps}}, url = {{https://lup.lub.lu.se/search/files/5551490/8054226.pdf}}, year = {{2015}}, }