Hybrid Conferencee

International Conference on Computational Finance and Risk Analysis (ICCFRA - 27)

17th - 18th June 2027 | Bahir Dar, Ethiopia
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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme developed around the conference Session Tracks and aligned United Nations Sustainable Development Goals.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 17–18 June 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 6 SDGs SDGs 1, 8, 9, 10, 11 and 12
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

Day 01

Opening, Keynote & Technical Sessions

17 JUN 2027 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM

    Concurrent Technical Session I

    3 TRACKS
    Track 01
    Advancements in Computational Finance
    8910
    Track Overview

    This track focuses on the latest methodologies and technologies in computational finance. It aims to explore innovative approaches to financial modeling and risk assessment.

    Track 02
    Statistical Modeling in Risk Analysis
    189
    Track Overview

    This session emphasizes the application of statistical models in the evaluation and management of financial risks. Participants will discuss the effectiveness and limitations of various statistical techniques in real-world scenarios.

    Track 03
    Machine Learning Applications in Finance
    8911
    Track Overview

    This track investigates the integration of machine learning algorithms in financial decision-making processes. It will highlight case studies showcasing successful implementations and the impact on predictive accuracy.

  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM

    Concurrent Technical Session II

    3 TRACKS
    Track 04
    Optimization Techniques in Quantitative Finance
    8912
    Track Overview

    This session delves into optimization methods used to enhance financial strategies and portfolio management. Discussions will include both theoretical frameworks and practical applications in the finance industry.

    Track 05
    Data Science Innovations for Financial Forecasting
    91112
    Track Overview

    This track explores the role of data science in improving forecasting models within finance. Participants will share insights on data-driven techniques that enhance predictive performance.

    Track 06
    Econometric Methods in Financial Analysis
    8910
    Track Overview

    This session focuses on the application of econometric techniques to analyze financial data. It aims to bridge theoretical econometrics with practical financial applications.

  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
View Day 02 Schedule →
Day 02

Keynote, Technical Sessions & Awards

18 JUN 2027 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM

    Concurrent Technical Session III

    3 TRACKS
    Track 07
    Algorithms for Risk Management
    8910
    Track Overview

    This track examines the development and application of algorithms designed for effective risk management in finance. Participants will discuss algorithmic strategies that mitigate financial risks.

    Track 08
    Computational Methods in Statistical Analysis
    8910
    Track Overview

    This session highlights computational techniques that enhance statistical analysis in finance. It will cover a range of methods from simulation to numerical analysis.

    Track 09
    Predictive Analytics in Financial Markets
    8910
    Track Overview

    This track focuses on the use of predictive analytics to inform investment strategies and market predictions. Participants will explore tools and techniques that improve forecasting capabilities.

  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM

    Concurrent Technical Session IV

    2 TRACKS
    Track 10
    Probability Theory in Financial Risk Assessment
    8910
    Track Overview

    This session emphasizes the application of probability theory in assessing financial risks. Discussions will include theoretical foundations and practical implications in risk management.

    Track 11
    Research Applications in Computational Finance
    8910
    Track Overview

    This track invites discussions on cutting-edge research applications in computational finance. Participants will share findings that contribute to the advancement of the field and its methodologies.

  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
← Back to Day 01 Schedule
Aligned SDGs
1 No Poverty 8 Decent Work and Economic Growth 9 Industry, Innovation and Infrastructure 10 Reduced Inequalities 11 Sustainable Cities and Communities 12 Responsible Consumption and Production

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