International Conference on Statistical Modeling in Finance and Economics (ICSMFAE - 27)

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.

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.

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.

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.

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.

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.