Hybrid Conferencee

International Conference on Computational Finance and Risk Modeling (ICCFRM - 26)

2nd - 3rd July 2026 | Geneva, Switzerland
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Geneva. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Geneva event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Geneva conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Geneva, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Geneva."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCFRM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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