Flex Conference (Physical / Digital)

International Conference on Corporate Finance Analytics and Valuation Models - (ICCFAVM-27)

31st - 1st June 2027 , Medellin - Colombia

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Call For Papers

The (ICCFAVM-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:

  • Corporate finance analytics for decision-making
  • Valuation models in corporate finance
  • Data-driven approaches to capital budgeting
  • Impact of analytics on financial performance
  • Predictive modeling for corporate finance
  • Risk management in corporate finance analytics
  • Case studies in corporate valuation
  • AI in corporate finance decision-making
  • Data visualization in corporate finance
  • Ethics in corporate finance analytics
  • Corporate finance strategies and analytics
  • Future trends in corporate finance analytics
  • Integrating big data in corporate finance
  • Role of technology in valuation models
  • Corporate governance and financial analytics
  • Impact of analytics on M&A decisions
  • Financial forecasting in corporate finance
  • Data-driven insights for shareholder value
  • Corporate finance and sustainability analytics
  • Challenges in corporate finance analytics

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.