Call For Papers

The ICCFRM 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, Data 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 in financial modeling
02
Computational techniques for financial analysis
03
Machine learning in finance applications
04
Data-driven approaches to risk management
05
Stochastic modeling in finance
06
High-frequency trading algorithms
07
Portfolio optimization using simulations
08
Behavioral finance and computational methods
09
Impact of AI on financial forecasting
10
Financial data visualization techniques
11
Regulatory challenges in computational finance
12
Cryptocurrency modeling and analysis
13
Time series analysis in finance
14
Risk modeling in investment strategies
15
Data mining for financial insights
16
Applications of deep learning in finance
17
Market prediction using computational models
18
Ethics in financial data usage
19
Financial technology innovations and risks
20
Future trends in computational finance

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.

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Publication

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

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