Hybrid Conferencee

International Conference on Business Analytics and Financial Engineering (ICBAFE - 27)

25th - 26th June 2027 | Berlin, Germany
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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 25–26 June 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 4 SDGs SDGs 8, 9, 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

25 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
    Innovations in Business Analytics
    89
    Track Overview

    This track focuses on the latest advancements in business analytics methodologies and tools. Participants will explore how these innovations can drive strategic decision-making in various industries.

    Track 02
    Financial Engineering Techniques
    8
    Track Overview

    This session will delve into the principles and applications of financial engineering in modern finance. Topics include derivative pricing, risk management strategies, and the development of innovative financial products.

    Track 03
    Data-Driven Decision Making in Finance
    912
    Track Overview

    This track emphasizes the importance of data-driven approaches in financial decision-making processes. Attendees will discuss case studies and frameworks that leverage big data analytics for improved financial outcomes.

  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
    Predictive Modelling in Business
    9
    Track Overview

    This session will explore the role of predictive modelling in enhancing business performance and forecasting. Participants will examine various techniques and their applications across different sectors.

    Track 05
    Risk Analytics and Management
    811
    Track Overview

    This track will address the methodologies and tools used in risk analytics to identify, assess, and mitigate financial risks. Discussions will include quantitative models and their practical applications in risk management.

    Track 06
    Machine Learning Applications in Finance
    9
    Track Overview

    This session will highlight the transformative impact of machine learning on financial analysis and decision-making. Participants will explore algorithms and techniques that enhance predictive accuracy and operational efficiency.

  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

26 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
    Investment Analytics and Strategies
    89
    Track Overview

    This track focuses on the analytical techniques used to evaluate investment opportunities and optimize portfolio performance. Participants will discuss quantitative approaches and their implications for investment strategies.

    Track 08
    Big Data in Financial Services
    912
    Track Overview

    This session will examine the integration of big data analytics in financial services and its implications for business models. Attendees will explore case studies showcasing successful big data initiatives.

    Track 09
    Portfolio Optimization Techniques
    8
    Track Overview

    This track will cover advanced methodologies for portfolio optimization, including risk-return trade-offs and asset allocation strategies. Participants will engage in discussions on the latest research and practical applications.

  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
    Financial Data Mining Techniques
    9
    Track Overview

    This session will focus on the techniques and tools used in financial data mining to extract valuable insights from large datasets. Participants will discuss the challenges and opportunities presented by financial data.

    Track 11
    Trading Models and Strategies
    89
    Track Overview

    This track will explore the development and evaluation of trading models and strategies in financial markets. Participants will analyze quantitative approaches and their effectiveness in enhancing trading performance.

  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
8 Decent Work and Economic Growth 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities 12 Responsible Consumption and Production

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