International Conference on Statistical Modeling in Finance and Economics

ICSMFAE

7th Oct – 8th Oct 2026 Klaipeda, Lithuania

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Registration Summary

Conference ICSMFAE

Date 7th Oct – 8th Oct 2026

Location Klaipeda, Lithuania

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable 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 Advanced Statistical Modeling Techniques +

This track focuses on the latest advancements in statistical modeling methodologies applicable to finance and economics. Participants are encouraged to present innovative approaches that enhance predictive accuracy and model robustness.

SDG 8 SDG 9 SDG 17

02 Probability Theory in Financial Applications +

This session will explore the application of probability theory in various financial contexts, including risk assessment and decision-making. Contributions should highlight theoretical developments and practical implementations.

SDG 1 SDG 8 SDG 9

03 Econometric Methods for Economic Analysis +

This track invites papers that utilize econometric techniques to analyze economic data and inform policy decisions. Emphasis will be placed on novel methodologies and their empirical applications.

SDG 1 SDG 8 SDG 10

04 Time Series Analysis and Forecasting +

This session will cover methodologies for time series analysis, with a focus on forecasting techniques relevant to financial markets. Participants are encouraged to share case studies and innovative approaches to time-dependent data.

SDG 8 SDG 9 SDG 11

05 Risk Analysis and Management +

This track addresses quantitative methods for risk analysis and management in finance and economics. Papers should discuss frameworks for assessing and mitigating financial risks using statistical tools.

SDG 1 SDG 8 SDG 9

06 Simulation Techniques in Financial Modeling +

This session will focus on the role of simulation techniques in financial modeling, including Monte Carlo methods and other computational approaches. Contributions should demonstrate the applicability of these techniques to real-world financial problems.

SDG 9 SDG 12 SDG 17

07 Data Science and Predictive Analytics +

This track explores the intersection of data science and predictive analytics in finance and economics. Papers should highlight the use of machine learning and artificial intelligence in enhancing data-driven decision-making.

SDG 4 SDG 9 SDG 17

08 Optimization Techniques in Quantitative Finance +

This session will delve into optimization techniques used in quantitative finance, including portfolio optimization and resource allocation. Contributions should present novel algorithms and their effectiveness in financial applications.

SDG 8 SDG 9 SDG 12

09 Applied Statistics in Economic Research +

This track invites discussions on the application of statistical methods in economic research, focusing on real-world data and case studies. Papers should illustrate the impact of statistical analysis on economic theory and practice.

SDG 1 SDG 8 SDG 9

10 Regression Analysis in Financial Contexts +

This session will cover various regression techniques and their applications in financial modeling and economic forecasting. Participants are encouraged to present innovative regression models that address complex financial phenomena.

SDG 1 SDG 8 SDG 9

11 Big Data Analytics in Finance and Economics +

This track focuses on the challenges and opportunities presented by big data in the fields of finance and economics. Papers should discuss methodologies for analyzing large datasets and their implications for statistical modeling.

SDG 9 SDG 12 SDG 17