Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > q-fin > arXiv:2509.12558

Help | Advanced Search

Quantitative Finance > Risk Management

arXiv:2509.12558 (q-fin)
[Submitted on 16 Sep 2025 (v1) , last revised 23 Oct 2025 (this version, v2)]

Title: A Note on Subadditivity of Value at Risks (VaRs): A New Connection to Comonotonicity

Title: 关于风险价值(VaRs)次可加性的注记:与同单调性的新联系

Authors:Yuri Imamura, Takashi Kato
Abstract: In this paper, we provide a new property of value at risk (VaR), which is a standard risk measure that is widely used in quantitative financial risk management. We show that the subadditivity of VaR for given loss random variables holds for any confidence level if and only if those are comonotonic. This result also gives a new equivalent condition for the comonotonicity of random vectors.
Abstract: 在本文中,我们提供了一种风险价值(VaR)的新性质,VaR是一种在定量金融风险管理中广泛使用的标准风险度量。 我们证明,对于给定的损失随机变量,VaR的次可加性在任何置信水平下成立当且仅当这些变量是共单调的。 这一结果也给出了随机向量共单调性的新等价条件。
Comments: 5 pages
Subjects: Risk Management (q-fin.RM) ; Probability (math.PR); Statistics Theory (math.ST)
MSC classes: 91G70, 62P05
Cite as: arXiv:2509.12558 [q-fin.RM]
  (or arXiv:2509.12558v2 [q-fin.RM] for this version)
  https://doi.org/10.48550/arXiv.2509.12558
arXiv-issued DOI via DataCite
Journal reference: Journal of Applied Probability, First View, 18 September 2025, pp.1-5
Related DOI: https://doi.org/10.1017/jpr.2025.31
DOI(s) linking to related resources

Submission history

From: Takashi Kato [view email]
[v1] Tue, 16 Sep 2025 01:29:51 UTC (6 KB)
[v2] Thu, 23 Oct 2025 01:15:05 UTC (6 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
view license
Current browse context:
q-fin
< prev   |   next >
new | recent | 2025-09
Change to browse by:
math
math.PR
math.ST
q-fin.RM
stat
stat.TH

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号