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ON THE TOTAL FEE

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Hybrid Event

9th - 10th September 2026 | Amsterdam, Netherlands

International Conference on Computational Finance and Risk Analysis (ICCFRA - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCFRA) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Computational Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.