SNRI

(ICSMFAE - 26) | Hybrid Event
1st - 2nd December 2026 | Dubai, UAE

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+91 9344546233 | [email protected]

International Conference on Statistical Modeling in Finance and Economics
(ICSMFAE - 26)

1st - 2nd December 2026 Dubai, UAE (Hybrid Event)

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Call for Paper

The ICSMFAE is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Probability Theory,Statistics, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Statistical modeling in finance applications
  • Econometric models for financial analysis
  • Risk modeling in financial markets
  • Statistical methods for economic forecasting
  • Applications of time series in finance
  • Bayesian statistics in financial modeling
  • Quantitative finance and statistical analysis
  • Statistical techniques in portfolio management
  • Applications in behavioral finance
  • Financial econometrics and modeling
  • Statistical analysis of market trends
  • Risk assessment in economic models
  • Machine learning in finance applications
  • Statistical methods for asset pricing
  • Applications in corporate finance analysis
  • Statistical modeling in insurance markets
  • Econometric techniques for policy analysis
  • Statistical analysis of economic indicators
  • Applications in international finance
  • Statistical modeling in real estate markets
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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