An R Package for Value at Risk and Expected Shortfall

  • Stephen Chan*
  • , Saralees Nadarajah
  • , Emmanuel Afuecheta
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Value at risk and expected shortfall are the two most popular measures of financial risk. But the available R packages for their computation are limited. Here, we introduce an R contributed package written by the authors. It computes the two measures for over 100 parametric distributions, including all commonly known distributions. We expect that the R package could be useful to researchers and to the financial community.

Original languageEnglish
Pages (from-to)3416-3434
Number of pages19
JournalCommunications in Statistics Part B: Simulation and Computation
Volume45
Issue number9
DOIs
StatePublished - 20 Oct 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016, Copyright © Taylor & Francis Group, LLC.

Keywords

  • Expected shortfall
  • Parametric distributions
  • Value at risk

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation

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