Recent Advances on Risk Analysis and Assessment

A special issue of FinTech (ISSN 2674-1032).

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 2467

Special Issue Editors


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Guest Editor
Department of Economics, University of Perugia, Piazza Università, 1-06123 Perugia, Italy
Interests: quantitative risk management; volatility modelling; financial econometrics; derivative pricing and hedging; crypto-currencies and digital assets

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Guest Editor
Department of Economics, University of Perugia, Piazza Università, 1-06123 Perugia, Italy
Interests: logistic regression; case-control studies, unbalanced data; survival analysis; competing risk analysis; multistate models; advanced multivariate statistical methods for applied research

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Guest Editor
Department of Economics and Statistics, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Salerno, Italy
Interests: discrete choice models; regression modeling; survival analysis; imbalanced datasets
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Economics and Statistics, University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy
Interests: time series econometrics; financial risk management; volatility modeling; time series analysis; time series; GARCH; time series forecasting
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to the 9th International Conference on Risk Analysis (ICRA9), focuses on the broad topic of “Risk Analysis and Assessment”, and includes novel research on the use of methods and techniques for analysing and modelling the risk in different, real contexts.

We welcome theoretical and empirical articles on the application of novel computational techniques in estimation, simulation, and prediction in risk analysis and assessment with applications to risk assessment and management in diverse fields, such as:

  • Life/biological sciences;
  • Environmental sciences;
  • Public health;
  • Economics and finance;
  • Reliability engineering;
  • Technical, biological, and biomedical systems;
  • Computer science;
  • Social sciences.

In particular, contributions focusing on high-dimensional applications in today’s complex world and\or novel measures of risk (financial, environmental, clinical, and so on), are encouraged.

Dr. Gianna Figà-Talamanca
Dr. Francesca Pierri
Dr. Marialuisa Restaino
Prof. Dr. Giuseppe Storti
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 submissions that pass pre-check are 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. FinTech 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 1000 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.

Keywords

  • risk analysis
  • risk assessment
  • statistical modelling
  • applied statistics
  • big data
  • machine learning

Published Papers (1 paper)

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Research

20 pages, 621 KiB  
Article
Measurement and Impact of Longevity Risk in Portfolios of Pension Annuity: The Case in Sub Saharan Africa
by Samuel Asante Gyamerah, Janet Arthur, Saviour Worlanyo Akuamoah and Yethu Sithole
FinTech 2023, 2(1), 48-67; https://doi.org/10.3390/fintech2010004 - 13 Jan 2023
Cited by 2 | Viewed by 1738
Abstract
Longevity is without a doubt on the rise throughout the world due to advances in technology and health. Since 1960, Ghana’s average annual mortality improvement has been about 1.236%. This poses serious longevity risks to numerous longevity-bearing assets and liabilities. As a result, [...] Read more.
Longevity is without a doubt on the rise throughout the world due to advances in technology and health. Since 1960, Ghana’s average annual mortality improvement has been about 1.236%. This poses serious longevity risks to numerous longevity-bearing assets and liabilities. As a result, this research investigates the effect of mortality improvement on pension annuities related to a particular pension scheme in Ghana. Different stochastic mortality models (Lee–Carter, Renshaw–Haberman, Cairns–Blake–Dowd, and Quadratic Cairns–Blake–Dowd) are used to forecast mortality improvements between 2021 and 2030. The results from accuracy metrics indicate that the quadratic Cairns–Blake–Dowd model exhibits the best fit to the mortality data. The findings from the study demonstrate that mortality for increasing ages within the retirement period was declining, with increasing improvement associated with increasing ages. Furthermore, the forecasts were used to estimate the associated single benefit annuity for a GHS 1 per annum payment to pensioners, and it was discovered that the annuity value expected to be paid to such people was not significantly different regardless of the pensioner’s current age. Full article
(This article belongs to the Special Issue Recent Advances on Risk Analysis and Assessment)
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