Special Issue "Loss Models: From Theory to Applications"

A special issue of Risks (ISSN 2227-9091).

Deadline for manuscript submissions: 31 July 2019

Special Issue Editors

Guest Editor
Prof. Jae Kyung Woo

School of Risk and Actuarial Studies, University of New South Wales, Sydney, Australia
Website | E-Mail
Interests: risk theory; reliability theory; aggregate claim analysis; queueing theory; renewal processes
Guest Editor
Prof. Eric Cheung

School of Risk and Actuarial Studies, University of New South Wales, Sydney, Australia
Website | E-Mail
Interests: insurance risk theory; ruin theory; aggregate claims analysis; queueing theory; stochastic processes; risk management; financial mathematics

Special Issue Information

Dear Colleagues,

The first edition of the textbook Loss Models: From Data to Decisions by Klugman, Panjer, and Willmot was published in 1998, and 2018 marks its 20th anniversary. The volume has expanded since 1998 to include more and more emerging important topics regarding loss modeling in actuarial science. The textbook is not only a required reading for various professional actuarial exams, but also a highly cited research reference as it contains a lot of classical results in actuarial science. The past 20 years have also seen the development of actuarial risk theory, along with the availability of more advanced statistical techniques, huge amount of data, and computational power.

 This Special Issue aims to collect state-of-the-art research papers tackling the latest challenges in theory and/or applications of loss models. While collective risk models are commonly used in general insurance and health insurance, they can also be utilized to model other types of risks, such as operational and credit risks. Due to the interdisciplinary nature of the subject, related models are often found in other areas, such as queueing theory, financial risk management, and statistics. Hence, the development of mathematical and stochastic models as well as statistical techniques could be employed in those disciplines. We warmly welcome papers related, but not limited to, the following topics:

  • Frequency/severity/compound distributions;
  • Risk/loss aggregation;
  • Ruin theory;
  • Credibility theory;
  • Reinsurance;
  • Dependence structure;
  • Extreme value theory;
  • Risk measures; and
  • Fitting and inference of loss models.
Prof. Jae Kyung Woo
Prof. Eric Cheung
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Risks is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Frequency/severity/compound distributions
  • Risk/loss aggregation
  • Ruin theory
  • Credibility theory
  • Reinsurance
  • Dependence structure
  • Extreme value theory
  • Risk measures
  • Fitting and inference of loss models

Published Papers

This special issue is now open for submission.
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