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International Conference on Financial Forecasting and Quantitative Analytics - (ICFFQA-27)

12th - 13th January 2027 , Kathmandu - Nepal

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Call For Papers

The (ICFFQA-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Accounting, Data Analytics, Finance are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Financial forecasting techniques and models
  • Predictive analytics for revenue forecasting
  • Impact of AI on financial predictions
  • Data-driven insights for financial planning
  • Challenges in financial forecasting accuracy
  • Integrating big data in financial forecasting
  • Case studies in financial forecasting
  • Role of technology in forecasting models
  • Ethics in financial forecasting practices
  • Future trends in financial forecasting
  • Real-time analytics for financial predictions
  • Impact of market trends on forecasting
  • Data visualization in financial forecasting
  • Behavioral insights in financial predictions
  • Financial forecasting for risk management
  • Innovations in forecasting methodologies
  • Financial forecasting in uncertain environments
  • Impact of macroeconomic factors on forecasting
  • Data-driven approaches to financial forecasting
  • Predictive analytics for cost forecasting

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.