Call For Papers

The ICCFRA 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 Computational Science , encouraging applied research, case studies, and industry-driven innovations.

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

01
Risk assessment models in finance
02
Computational methods for portfolio optimization
03
Algorithmic trading strategies and analysis
04
Financial time series forecasting techniques
05
Machine learning in credit risk modeling
06
Computational finance for derivatives pricing
07
Stress testing financial systems
08
Quantitative methods in risk management
09
Big data analytics in finance
10
Behavioral finance and computational models
11
Blockchain technology in financial transactions
12
Financial market simulations and modeling
13
Computational methods for asset allocation
14
Risk modeling for insurance industries
15
Regulatory compliance and computational finance
16
Impact of AI on financial markets
17
High-frequency trading and algorithms
18
Financial fraud detection techniques
19
Computational economics and market dynamics
20
Sustainable finance and risk analysis

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



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