Hybrid Conferencee

International Conference on Finance and Economics Analytics using Big Data (ICFEABD - 27)

31st - 1st June 2027 | Berlin, Germany
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Berlin. 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 Berlin 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 Berlin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Berlin, 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 Berlin."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1
SDG 1 No Poverty
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Predictive Analytics in Financial Markets

This track focuses on the application of predictive analytics techniques in forecasting financial market trends. Researchers are invited to present innovative models that leverage big data to enhance decision-making in finance.

Track 02

Machine Learning Applications in Finance

This session explores the integration of machine learning algorithms in financial analytics. Contributions should highlight novel approaches that improve accuracy in financial predictions and risk assessments.

Track 03

Data Visualization Techniques for Financial Insights

This track emphasizes the importance of data visualization in interpreting complex financial datasets. Presentations should showcase effective visualization strategies that facilitate better understanding and communication of financial information.

Track 04

Risk Analytics and Management in Finance

This session addresses the role of big data in enhancing risk analytics and management practices. Papers should discuss methodologies that identify, assess, and mitigate financial risks using advanced analytics.

Track 05

AI-Driven Solutions for Business Analytics

This track investigates the impact of artificial intelligence on business analytics within the finance sector. Submissions should explore AI methodologies that drive efficiency and effectiveness in financial decision-making.

Track 06

Financial Data Mining Techniques

This session focuses on innovative data mining techniques applied to financial datasets. Researchers are encouraged to present findings that reveal hidden patterns and insights critical for financial analysis.

Track 07

Economic Analytics and Policy Implications

This track examines the intersection of economic analytics and financial policy-making. Contributions should analyze how big data can inform economic strategies and enhance policy effectiveness.

Track 08

Data Governance in Financial Analytics

This session highlights the significance of data governance frameworks in the context of financial analytics. Papers should address best practices for ensuring data quality, security, and compliance in financial institutions.

Track 09

System Optimization in Financial Operations

This track explores optimization techniques that enhance operational efficiency in finance through big data analytics. Presentations should focus on case studies or methodologies that demonstrate successful optimization outcomes.

Track 10

Intelligent Systems for Financial Decision Support

This session investigates the development of intelligent systems that support financial decision-making processes. Submissions should showcase advancements in technology that facilitate smarter, data-driven financial choices.

Track 11

Trends in Financial Modeling with Big Data

This track delves into the evolving landscape of financial modeling techniques influenced by big data. Researchers are invited to present innovative models that incorporate vast datasets to improve financial forecasting and analysis.