(ICQESM - 26) | Hybrid Event
28th - 29th August 2026 | Kowloon City, Hong Kong

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International Conference on Quantitative Economics and Statistical Modeling
(ICQESM - 26)

28th - 29th August 2026 Kowloon City, Hong Kong (Hybrid Event)

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Call for Paper

The ICQESM 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 Statistics,Data Science, 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:

  • Quantitative methods in economic modeling
  • Statistical approaches to economic forecasting
  • Econometric models for financial analysis
  • Data analysis in quantitative economics
  • Statistical techniques for policy evaluation
  • Quantitative methods in labor economics
  • Statistical modeling for market analysis
  • Time series analysis in economics
  • Quantitative finance and risk management
  • Statistical methods for economic data
  • Econometric analysis of consumer behavior
  • Quantitative approaches to economic growth
  • Statistical modeling for international trade
  • Data-driven decision making in economics
  • Quantitative methods for public policy
  • Statistical techniques for income inequality
  • Quantitative analysis in development economics
  • Future trends in quantitative economics
  • Statistical modeling for environmental economics
  • Quantitative methods in health economics
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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