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Efficient option pricing under Lévy processes, with CVA and FVA

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, July 2015
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Title
Efficient option pricing under Lévy processes, with CVA and FVA
Published in
Frontiers in Applied Mathematics and Statistics, July 2015
DOI 10.3389/fams.2015.00006
Authors

Chun Kong Shek, Jimmy Law, Sergei Levendorskiĭ

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Mathematics 1 100%
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 29 July 2015.
All research outputs
#15,340,815
of 22,818,766 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#142
of 338 outputs
Outputs of similar age
#153,880
of 262,650 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#3
of 3 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 338 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 48th percentile – i.e., 48% 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 262,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.