On-location / Digital Conference

International Conference on Computational Intelligence in Finance and Economics (ICCIFE-27)

19th - 20th Jan 2027,Daegu, South Korea

In Association With:


Important Dates


Early Bird Registration

20th Dec 2026

Paper Submission Deadline

25th December 2026

Registration Deadline

4th January 2027

Conference Date

19th - 20th Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Daegu ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Daegu conference.
  • Peer Review Process:
    The peer review process will begin soon for Daegu conference.
  • Networking with Global Experts:
    Join global experts at our conference in Daegu.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

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 7 — Affordable and Clean Energy
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
Session Tracks
Track 01
Advancements in Financial Engineering

This track focuses on innovative methodologies and applications in financial engineering. Topics include the development of new financial instruments and risk management techniques.

Track 02
Machine Learning Applications in Finance

This session explores the integration of machine learning techniques in financial analysis and forecasting. Participants will discuss case studies and the impact of AI on financial decision-making.

Track 03
Agent-Based Computational Economics

This track delves into agent-based modeling as a tool for understanding complex economic systems. Papers will examine how individual behaviors influence market dynamics and economic outcomes.

Track 04
Big Data Analytics in Banking

This session highlights the role of big data analytics in transforming banking operations and customer insights. Discussions will cover data-driven strategies for enhancing financial services and risk assessment.

Track 05
Risk Management and Credit Risk Modeling

This track addresses contemporary challenges in risk management, focusing on credit risk modeling techniques. Participants will share insights on regulatory frameworks and innovative risk assessment tools.

Track 06
Portfolio Management and Optimization Strategies

This session investigates advanced portfolio management techniques and optimization strategies. Topics will include asset allocation models and performance evaluation metrics.

Track 07
Market Simulation and Trading Strategies

This track focuses on the use of market simulation to analyze trading strategies. Participants will explore the effectiveness of various approaches in different market conditions.

Track 08
Financial Time Series Analysis

This session emphasizes methodologies for analyzing financial time series data. Discussions will include forecasting techniques and the implications of volatility in financial markets.

Track 09
Behavioral Finance and Sentiment Analysis

This track examines the intersection of behavioral finance and sentiment analysis. Participants will discuss how psychological factors influence market behavior and investment decisions.

Track 10
Electricity and Commodity Markets

This session explores the unique characteristics of electricity and commodity markets. Papers will address pricing mechanisms, market dynamics, and regulatory challenges.

Track 11
Innovations in Financial Data Mining

This track focuses on cutting-edge techniques in financial data mining. Participants will present novel approaches to extracting insights from large financial datasets.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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