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VIX Derivatives: Valuation Models and Empirical Evidence

Overview of attention for article published in SSRN Electronic Journal, January 2023
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Article details
Title
VIX Derivatives: Valuation Models and Empirical Evidence
Published in
SSRN Electronic Journal, January 2023
DOI 10.2139/ssrn.4387903
Authors

Chien-Ling Lo, Pai-Ta Shih, Yaw-Huei Wang, Min-Teh Yu

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2023.
All research outputs
#30,978,688
of 34,174,318 outputs
Outputs from SSRN Electronic Journal
#73,353
of 76,642 outputs
Outputs of similar age
#459,036
of 528,110 outputs
Outputs of similar age from SSRN Electronic Journal
#7,348
of 7,705 outputs
Altmetric has tracked 34,174,318 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 76,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 528,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7,705 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.