Computational and Mathematical Intelligence in Finance Home Page
Computational & Mathematical
Intelligence in Finance
A premier open-access, peer-reviewed journal dedicated to advancing research at the intersection of computational methods, mathematical modeling, and financial applications.
Financial Modeling & Computational Intelligence
CMIF invites high-quality original research articles, review papers, and technical notes that push the boundaries of financial modeling. We seek contributions harnessing advanced computational techniques, mathematical frameworks, and intelligent algorithms to address complex challenges in modern finance.
Special Focus: Financial Modeling
For our inaugural issue, we particularly welcome papers focused on financial modeling — including stochastic volatility models, derivative pricing frameworks, portfolio optimization, fixed-income term structure modeling, and novel computational approaches to quantitative finance. Submissions that bridge mathematical rigor with practical financial applications are especially encouraged.
Computational Finance
- → Algorithmic trading systems
- → GPU-accelerated pricing engines
- → Agent-based market simulation
- → Monte Carlo methods in finance
Mathematical Modeling
- → Stochastic calculus & SDEs
- → PDEs in derivative pricing
- → Volatility surface construction
- → Fixed-income modeling
Machine Learning & AI
- → Deep learning for time-series forecasting
- → Reinforcement learning for portfolios
- → NLP for market sentiment
- → Generative models for synthetic data
Risk Management
- → Value-at-Risk (VaR) methodologies
- → Expected Shortfall modeling
- → Stress testing & systemic risk
- → Climate risk quantification
Financial Econometrics
- → High-dimensional covariance estimation
- → Regime-switching models
- → Copula-based dependence modeling
- → Realized volatility estimation
Blockchain & DeFi
- → Smart contract verification
- → AMM modeling
- → On-chain analytics
- → Cryptoeconomic mechanism design
We also welcome survey papers, perspective articles, and special issue proposals aligned with financial modeling.
Aims & Scope
Computational and Mathematical Intelligence in Finance (CMIF) is a premier open-access, peer-reviewed journal dedicated to advancing research at the intersection of computational methods, mathematical modeling, and financial applications.
The journal provides a rigorous forum for original research articles, review papers, and technical notes that push the boundaries of quantitative finance. Published quarterly by Scinquiry Publishing.
Core Research Areas
CMIF covers a broad spectrum of topics at the frontier of computational and mathematical finance.
Computational Finance
Algorithmic trading, HFT systems, GPU-accelerated pricing, Monte Carlo methods.
Mathematical Modeling
Stochastic calculus, SDEs, PDEs in pricing, volatility surface construction.
Machine Learning & AI
Deep learning, reinforcement learning, NLP for sentiment, generative models.
Risk Management
VaR, Expected Shortfall, stress testing, systemic risk, climate risk.
Financial Econometrics
Covariance estimation, regime-switching, copula models, volatility estimation.
Blockchain & DeFi
Smart contracts, AMM modeling, on-chain analytics, cryptoeconomics.
Quantum Finance
Quantum algorithms for portfolios, option pricing, quantum ML.
Financial Modeling
Stochastic volatility, derivative pricing, portfolio optimization, term structure.
Key Facts
Everything you need to know about publishing with CMIF.
Open Access Policy
CMIF is a fully open-access journal. All articles are freely available under Creative Commons Attribution 4.0 International License (CC BY 4.0). Authors retain copyright.
Peer Review Policy
- ✓ Double-blind peer review process
- ✓ At least two independent referees
- ✓ Originality and significance assessment
- ✓ Methodological rigor evaluation
- ✓ Reproducibility verification
Target Indexing
- ✓ Scopus
- ✓ Web of Science (ESCI)
- ✓ zbMATH & MathSciNet
- ✓ EconLit & DOAJ
- ✓ Portico / CLOCKSS archiving
Publication Frequency
Published quarterly — March, June, September, December. Each volume comprises four issues covering the full spectrum of CMIF's research domains.
Preprint Policy
Authors are encouraged to deposit preprints on arXiv (q-fin), SSRN, or RePEc prior to or concurrent with submission. CMIF supports open scholarly communication.
Article Processing Charges
APC sustains open-access operations. 50% discount for authors from low/middle-income countries. Invited reviews and editorials are waived.
How to Submit
Follow these guidelines to prepare and submit your manuscript to CMIF.
Accepted Formats
LaTeX (.tex), Word (.docx), or OpenDocument (.odt). Final versions use CMIF LaTeX template.
Length Limit
Maximum 30 pages excluding references and appendices. Concise manuscripts preferred.
Supplementary Materials
Code, data, and proofs encouraged. Deposit in GitHub, Zenodo with persistent IDs.
Online Submission
All submissions managed through our online editorial system. Create an account to begin.
Editorial Structure
CMIF is governed by a distinguished team ensuring the highest editorial standards.
Editor-in-Chief
Provides strategic direction and final editorial oversight for the journal's vision and quality standards.
Associate Editors
Domain specialists managing review workflows in specific subfields of computational finance.
Editorial Advisory Board
Distinguished scholars providing long-term guidance on strategic direction and development.
Reviewer Pool
International network of peer reviewers ensuring rigorous evaluation and constructive feedback.
Computational and Mathematical Intelligence in Finance is published by Scinquiry Publishing — committed to advancing knowledge through rigorous scholarship.
Advancing knowledge through inquiry.