You are currently viewing a new version of our website. To view the old version click .

Risks, Volume 6, Issue 3

September 2018 - 41 articles

Cover Story: The block plot shows the frequency of the Right Median estimate for the absolute slope of the regression line based on 1,000,000 simulations of a sample of 100 observations. The error and explanatory variable both have very heavy tails. The error has a Student distribution with 1/4 degrees of freedom; the explanatory variable has a Pareto distribution that is the third power of the inverse of a standard uniform variable. The estimate is a bisector of the sample and of the 21 rightmost sample points. The red curve is the associated Exponential Generalized Prime Beta fit. View this paper.
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (41)

  • Article
  • Open Access
7 Citations
3,697 Views
20 Pages

19 September 2018

Variable annuities, as a class of retirement income products, allow equity market exposure for a policyholder’s retirement fund with optional guarantees to limit the downside risk of the market. Management fees andguarantee insurance fees are c...

  • Article
  • Open Access
8 Citations
4,455 Views
14 Pages

14 September 2018

The study considers the product life cycle in the stages of technological innovation, and focuses on how to evaluate the optimal investment strategy and the project value. It applies different product stages (three stages including production innovat...

  • Article
  • Open Access
7 Citations
4,511 Views
17 Pages

A Quantum-Type Approach to Non-Life Insurance Risk Modelling

  • Claude Lefèvre,
  • Stéphane Loisel,
  • Muhsin Tamturk and
  • Sergey Utev

14 September 2018

A quantum mechanics approach is proposed to model non-life insurance risks and to compute the future reserve amounts and the ruin probabilities. The claim data, historical or simulated, are treated as coming from quantum observables and analyzed with...

  • Article
  • Open Access
6 Citations
3,740 Views
11 Pages

14 September 2018

Background, or systematic, risks are integral parts of many systems and models in insurance and finance. These risks can, for example, be economic in nature, or they can carry more technical connotations, such as errors or intrusions, which could be...

  • Feature Paper
  • Article
  • Open Access
7 Citations
5,452 Views
21 Pages

14 September 2018

We utilize the data of a very large UK automobile loan firm to study the interaction of the characteristics of borrowers and loans in predicting the subsequent loan performance. Our broader findings confirm the earlier research on the issue of subpri...

  • Article
  • Open Access
7 Citations
5,676 Views
47 Pages

13 September 2018

The paper addresses three objectives: the first is a presentation and overview of some important developments in quantile times series approaches relevant to demographic applications—secondly, development of a general framework to represent qua...

  • Article
  • Open Access
25 Citations
6,172 Views
19 Pages

12 September 2018

We propose a novel credit risk measurement model for Corporate Default Swap (CDS) spreads that combines vector autoregressive regression with correlation networks. We focus on the sovereign CDS spreads of a collection of countries that can be regarde...

  • Article
  • Open Access
2 Citations
3,787 Views
30 Pages

12 September 2018

Almost sure bootstrap consistency of the blockwise bootstrap for the Average Value at Risk of single risks is established for strictly stationary β -mixing observations. Moreover, almost sure bootstrap consistency of a multiplier bootstrap...

of 5

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Risks - ISSN 2227-9091