Catastrophe Risk

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

Deadline for manuscript submissions: 31 August 2026 | Viewed by 1359

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Guest Editor
College of Technology Management, National Tsing Hua University, Hsinchu 300044, Taiwan
Interests: financial institutions; risk management and insurance; derivatives markets; catastrophe risk
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Special Issue Information

Dear Colleagues,

Catastrophic events—ranging from natural disasters and pandemics to cyber-attacks and large-scale industrial accidents—present profound challenges to societies, governments, and financial systems. The complexity, severity, and increasing frequency of these extreme events underscore the critical need for advanced catastrophe risk assessment, modeling, mitigation, and financing strategies.

This Special Issue of Risks aims to advance academic and practical insights into catastrophe risk. We welcome high-quality submissions that develop novel methodologies, provide empirical analysis, or present innovative applications relevant to managing extreme events. Submissions addressing interdisciplinary approaches and real-world case studies are encouraged.

Topics of interest are (but not limited to) the following:

  • Catastrophe modeling and loss estimation;
  • Insurance and reinsurance solutions for catastrophic events;
  • Economic and financial impact of climate-related disasters;
  • Stress testing for rare but severe events;
  • Public–private partnerships in catastrophe risk sharing;
  • Cat bonds and alternative risk transfer mechanisms;
  • Regulatory frameworks for disaster preparedness;
  • Risk perception and behavioral responses during catastrophic events.

Prof. Dr. Min-Teh Yu
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 monthly 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 1800 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

  • catastrophe and capital market
  • insurance-linked securities
  • cyber risk
  • catastrophe bonds
  • mortality risk
  • reinsurance
  • extreme risk

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Published Papers (1 paper)

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Research

24 pages, 2519 KB  
Article
A First Step Toward a CAT Model Framework: An ODE-Based Risk Analysis of Urban Floods Triggered by Meteorological Events
by Beatriz A. Curioso, Manuel L. Esquível, Gracinda R. Guerreiro, Nadezhda P. Krasii and Pedro A. C. Sousa
Risks 2026, 14(4), 83; https://doi.org/10.3390/risks14040083 - 2 Apr 2026
Cited by 2 | Viewed by 930
Abstract
This paper presents a physics-based hazard model for catastrophe (CAT) modelling of urban flood risk—a first step toward a complete CAT modelling framework. We introduce a linear second-order ordinary differential equation (ODE) system to simulate the underlying mechanisms of water accumulation, absorption, routing, [...] Read more.
This paper presents a physics-based hazard model for catastrophe (CAT) modelling of urban flood risk—a first step toward a complete CAT modelling framework. We introduce a linear second-order ordinary differential equation (ODE) system to simulate the underlying mechanisms of water accumulation, absorption, routing, and drainage across interconnected surfaces in densely built urban areas. The model treats an urban zone as a multivariate network of surfaces, each with unique hydrological properties, linked by directed water flows. For risk analysis, the external meteorological forcing (representing the precipitation input) is randomised. Our risk-analysis protocol relies on a Monte Carlo simulation of stochastic forcing. Its reliability is founded on rigorous mathematical properties proven for the ODE system (existence, uniqueness, positivity, monotonicity, and a priori bounds), ensuring that the probabilistic outputs are well-defined and physically plausible. A three-surface example illustrates the framework and a complete risk analysis is performed, yielding concrete risk metrics that inform mitigation strategies. Computational efficiency is shown to be optimal for linear ODE systems, outperforming generic methods. This work provides a foundational, physics-informed hazard model for next-generation CAT models, directly supporting the insurance industry’s adaptation to climate change. Full article
(This article belongs to the Special Issue Catastrophe Risk)
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