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ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
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Hybrid Event

19th - 20th June 2026 | Florence, Italy

International Conference on Business Analytics and Financial Engineering (ICBAFE - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
Explore All Session Tracks
Track 01
Innovations in Business Analytics

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

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

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.

Track 04
Predictive Modelling in Business

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

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

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.

Track 07
Investment Analytics and Strategies

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

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

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.

Track 10
Financial Data Mining Techniques

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

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.

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.