International Conference on Data Science Applications in Finance and Risk Modeling

ICDSAFRM

28th Apr – 29th Apr 2027 Aarhus, Denmark

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Registration Summary

Conference ICDSAFRM

Date 28th Apr – 29th Apr 2027

Location Aarhus, Denmark

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Predictive Analytics in Financial Decision Making +

This track focuses on the application of predictive analytics techniques in finance, emphasizing their role in enhancing decision-making processes. Contributions exploring novel algorithms and methodologies for financial forecasting are particularly encouraged.

SDG 8 SDG 9

02 Machine Learning Techniques for Risk Assessment +

This session will delve into the integration of machine learning methodologies in assessing and managing financial risks. Papers that demonstrate innovative applications of these techniques in real-world scenarios are welcome.

SDG 8 SDG 9

03 Statistical Methods for Financial Data Analysis +

This track aims to explore advanced statistical methods used in the analysis of financial data. Submissions should highlight the effectiveness of these methods in deriving insights and informing financial strategies.

SDG 8 SDG 9

04 Big Data Analytics in Finance +

This session will address the challenges and opportunities presented by big data in the financial sector. Contributions that showcase successful case studies or novel approaches to big data analytics are encouraged.

SDG 9 SDG 12

05 Econometric Models in Risk Modeling +

This track invites papers that utilize econometric models to enhance risk modeling practices in finance. Emphasis will be placed on innovative applications and theoretical advancements in econometrics.

SDG 8 SDG 9

06 Algorithms for Financial Forecasting +

This session will focus on the development and application of algorithms specifically designed for financial forecasting. Researchers are encouraged to present their findings on algorithmic performance and predictive accuracy.

SDG 9 SDG 12

07 Data Mining Techniques in Financial Analysis +

This track explores the role of data mining techniques in extracting valuable insights from financial datasets. Papers that demonstrate the practical implications of these techniques in finance are particularly welcome.

SDG 8 SDG 9

08 Quantitative Methods in Risk Management +

This session will highlight the application of quantitative methods in the field of risk management. Contributions that provide empirical evidence or theoretical advancements in this area are encouraged.

SDG 8 SDG 9

09 Artificial Intelligence in Financial Services +

This track examines the transformative impact of artificial intelligence on financial services, including its applications in risk assessment and customer analytics. Researchers are invited to share their insights and innovative applications.

SDG 8 SDG 9

10 Forecasting Techniques for Market Trends +

This session will focus on forecasting techniques that aid in understanding and predicting market trends. Contributions that integrate various methodologies and provide empirical validation are highly encouraged.

SDG 8 SDG 9

11 Risk Analysis Frameworks in Finance +

This track invites discussions on the development and application of risk analysis frameworks within the financial sector. Papers that propose new frameworks or enhance existing ones with empirical evidence are particularly welcome.

SDG 8 SDG 9