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ICQFEM · Registering as Listener

International Conference on Quantitative Finance and Econometric Modeling

17th Oct – 18th Oct 2026 Manila, Philippines Standard / Physical Participation

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Registration summary

ConferenceICQFEM

ModeStandard / Physical

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Benefits of Registering as Listener

Access to Conference Sessions

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Quantitative Finance and Econometric Modeling conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

This track focuses on the latest methodologies and innovations in quantitative finance. Researchers are invited to present their findings on new models and techniques that enhance financial decision-making.

This session will explore various econometric modeling techniques used in finance and economics. Papers that demonstrate novel applications or improvements in econometric methods are particularly welcome.

This track aims to discuss statistical methods for forecasting financial variables. Contributions that utilize advanced statistical techniques to improve prediction accuracy are encouraged.

This session will delve into the development and application of risk modeling frameworks in finance. Participants are invited to share insights on managing and quantifying financial risks.

This track will examine both theoretical and empirical aspects of asset pricing models. Submissions that address challenges in asset valuation and pricing strategies are highly encouraged.

This session focuses on innovative strategies for portfolio optimization in various market conditions. Researchers are invited to present their work on optimization techniques that enhance investment performance.

This track will explore the intersection of market analysis and behavioral finance. Papers that investigate how psychological factors influence market dynamics are welcome.

This session will highlight the application of stochastic models in financial analysis and decision-making. Contributions that develop or apply stochastic processes to financial problems are encouraged.

This track focuses on the role of big data in shaping financial practices and decision-making. Researchers are invited to present studies that leverage large datasets for financial insights.

This session will cover a range of econometric methods applied to financial data. Papers that demonstrate innovative applications of econometric techniques in finance are particularly welcome.

This track will explore computational techniques and simulations used in finance. Contributions that showcase the application of computational methods to solve complex financial problems are encouraged.