Journal Information
The Journal of Dependence Modelling in Finance, Insurance and Demography is an independent international scholarly journal dedicated to theoretical, methodological, and applied research on dependence modelling and its applications in finance, insurance, actuarial science, risk management, economics, and demography.
Journal Identity & Publisher Information
Official identity and publisher information of the Journal of Dependence Modelling in Finance, Insurance and Demography (JDMFID), maintained as a permanent public record for libraries, registration authorities, authors and readers.
Independent Scholarly Publisher
Rhodes 85100
Dodecanese
Greece
Mission
The mission of the journal is to provide a transparent, open-access and academically rigorous outlet for research on dependence modelling and its applications to risk, insurance, survival, longevity and demographic analytics.
Publisher and Ownership
The journal is independently owned and published in Greece. Editorial decisions are made independently and are based exclusively on scholarly quality, originality, relevance, methodological rigor, and compliance with the journal's ethical standards.
Journal Status
The journal is currently in its inaugural publication phase. Its first volume is being prepared for publication in 2026, and ISSN 3057-6601 has been assigned by the Greek ISSN National Centre.
Open Access Model
The journal operates on a Diamond Open Access model. Readers are not required to register or pay subscription fees, and authors are not charged submission fees or article processing charges. Authors retain copyright and articles are published under the Creative Commons Attribution 4.0 International License unless another licence is clearly specified.
Quality and Selectivity
Free publication does not mean automatic publication. All manuscripts are evaluated for scope, originality, clarity, ethical compliance, methodological quality and suitability for the journal.
Aims and Scope
The journal publishes research on dependence modelling and its applications in finance, insurance and demography. It welcomes theoretical, methodological, computational and applied studies that contribute to the understanding, estimation, forecasting or practical use of dependence structures in risk systems.
Finance
- · Financial risk modelling
- · Portfolio risk
- · Value-at-Risk
- · Expected Shortfall
- · Systemic risk
- · Financial contagion
- · Stress testing
- · Dynamic risk forecasting
- · Market dependence
- · Tail risk
- · Financial econometrics
Insurance and Actuarial Science
- · Insurance risk modelling
- · Actuarial dependence structures
- · Longevity risk
- · Mortality risk
- · Life tables
- · Cause-specific mortality
- · Cause-deleted life tables
- · Annuity valuation
- · Reserving
- · Solvency modelling
- · Competing risks
Demography
- · Demographic statistics
- · Mortality modelling
- · Population risk
- · Longevity and ageing
- · Fertility and population change
- · Survival analysis
- · Cause-of-death modelling
- · Demographic forecasting
- · Age-dependent risk structures
Methods
- · Dependence modelling
- · Dynamic dependence
- · Tail dependence
- · Multivariate modelling
- · Time-varying association
- · Statistical learning for risk systems
- · Machine learning for risk forecasting
- · Reproducible computation
- · R, MATLAB and Python methods
- · Simulation studies
- · Forecast evaluation
- · Model validation
Accepted Article Types
Peer Review Process
All submitted manuscripts are first screened by the Editor-in-Chief for scope, originality, clarity, ethical compliance and methodological relevance. All Research Articles, Review Articles, Data and Software Articles and Short Communications undergo external peer review by at least two independent reviewers. Editorials, announcements and other non-research content are clearly identified and may undergo editorial review only. A manuscript will be labelled as peer-reviewed only if it has received external academic review before acceptance.
Workflow
- 1.Manuscript submission
- 2.Administrative check
- 3.Editorial screening
- 4.Ethics and plagiarism assessment
- 5.External peer review by at least two independent reviewers
- 6.Reviewer feedback
- 7.Author revision
- 8.Editorial decision
- 9.Copyediting and formatting
- 10.Publication
Decision Categories
Publication Ethics
The journal operates under clear ethical and transparency principles that apply to authors, reviewers and editors.
Editorial Integrity
The journal is committed to transparency, academic integrity, editorial independence and ethical publishing practices.
Author Responsibilities
Authors must ensure originality of the work, proper citation of sources, no plagiarism, no duplicate submission, accurate reporting of methods and results, disclosure of conflicts of interest, ethical use of data, clear authorship contribution and disclosure of AI-assisted tools where used.
Reviewer Responsibilities
Reviewers must provide objective, constructive, confidential and timely evaluations.
Conflict of Interest
Authors, reviewers and editors must disclose any potential conflicts of interest.
Plagiarism
All submissions may be screened for plagiarism. Manuscripts containing plagiarism, fabricated data, manipulated results or unethical practices may be declined.
AI Use Policy
Authors must disclose the use of AI-assisted tools in manuscript preparation, coding, data analysis, editing, translation or image generation. AI tools cannot be listed as authors. Authors remain fully responsible for the accuracy, originality and integrity of the submitted work.
Corrections and Retractions
The journal may issue corrections, expressions of concern or retractions where necessary to preserve the integrity of the scholarly record.
No Misleading Metrics
The journal does not claim impact factor, indexing, Scopus coverage, Web of Science coverage, PubMed coverage or DOAJ inclusion unless such status is officially obtained.