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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

4th - 5th June 2026 | Berlin, Germany

International Conference on Statistical Analysis in Finance and Economics (ICSAFE - 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 1 — No Poverty
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 17 — Partnerships for the Goals
Explore All Session Tracks
Track 01
Advancements in Econometric Modeling

This track focuses on the latest methodologies in econometric modeling, emphasizing their applications in finance and economics. Participants are encouraged to present innovative approaches to model economic phenomena and financial markets.

Track 02
Risk Assessment and Management Techniques

This session aims to explore various statistical techniques for assessing and managing financial risks. Contributions that highlight novel risk modeling frameworks and their practical implications are particularly welcome.

Track 03
Portfolio Optimization Strategies

This track invites discussions on quantitative methods for portfolio analysis and optimization. Researchers are encouraged to share insights on maximizing returns while minimizing risks through advanced statistical techniques.

Track 04
Predictive Analytics in Financial Markets

This session will delve into the use of predictive modeling techniques to forecast market trends and asset prices. Papers that demonstrate the effectiveness of statistical methods in enhancing predictive accuracy are highly sought after.

Track 05
Time Series Analysis in Economics

This track is dedicated to the exploration of time series analysis techniques applied to economic data. Contributions that address challenges in forecasting and modeling temporal patterns in economic indicators are encouraged.

Track 06
Data Analytics in Financial Decision Making

This session focuses on the role of data analytics in informing financial decisions and strategies. Papers that showcase the integration of statistical analysis with data-driven decision-making processes will be highlighted.

Track 07
Applied Statistical Methods in Finance

This track aims to present applied statistical methods that address real-world financial problems. Contributions that bridge theoretical statistics with practical applications in finance are particularly welcome.

Track 08
Market Data Analysis and Interpretation

This session invites research on the analysis and interpretation of market data using statistical techniques. Participants are encouraged to present findings that enhance understanding of market dynamics through rigorous statistical analysis.

Track 09
Quantitative Methods for Economic Research

This track will explore various quantitative methods that are pivotal in conducting economic research. Papers that demonstrate innovative statistical approaches to economic questions are encouraged.

Track 10
Forecasting Techniques in Finance

This session focuses on the development and evaluation of forecasting techniques in the financial sector. Contributions that assess the accuracy and reliability of different forecasting models are highly encouraged.

Track 11
Statistical Innovations in Financial Statistics

This track invites discussions on innovative statistical techniques that advance the field of financial statistics. Researchers are encouraged to share their findings on new methodologies and their implications for financial analysis.

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.