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Call For Papers

The ICPAAF bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Accounting,Data Analytics,Finance, encouraging applied research, case studies, and industry-driven innovations.

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

  • Predictive analytics in financial decision-making
  • Risk assessment using predictive models
  • Forecasting financial performance with analytics
  • Data-driven insights for investment strategies
  • Machine learning in credit risk assessment
  • Behavioral analytics in finance applications
  • Predictive models for cash flow analysis
  • AI in financial market predictions
  • Impact of big data on finance
  • Predictive analytics for fraud prevention
  • Data visualization in financial forecasting
  • Integrating AI in financial planning
  • Ethics of predictive analytics in finance
  • Real-time analytics for financial markets
  • Predictive analytics in portfolio management
  • Using analytics for regulatory compliance
  • Challenges in predictive finance analytics
  • Future of predictive analytics in finance
  • Impact of technology on financial forecasting
  • Case studies in predictive finance applications

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Conference Alert

Due to heightened regional tensions and travel risks, the conference may be conducted in virtual-only mode. Updates regarding participation format will be communicated in advance.