An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track focuses on the latest developments in econometric methodologies and their applications in economic analysis. Researchers are encouraged to present innovative approaches that enhance the robustness of empirical findings.
This session will explore quantitative models and frameworks used to assess and manage financial risks. Contributions should highlight novel techniques in risk modeling and their practical implications for financial institutions.
This track aims to discuss the application of predictive analytics in forecasting market trends and asset prices. Papers should demonstrate the effectiveness of quantitative methods in enhancing decision-making processes.
This session will delve into quantitative approaches for portfolio construction and optimization. Submissions should address the challenges and solutions in achieving optimal asset allocation under varying market conditions.
This track focuses on the intersection of computational finance and algorithmic trading strategies. Researchers are invited to present their findings on the development and implementation of quantitative trading algorithms.
This session will cover the application of statistical techniques in economic research and policy analysis. Contributions should emphasize the role of statistical methods in deriving insights from economic data.
This track invites papers that explore innovative financial modeling techniques and simulation methods. Emphasis will be placed on models that provide actionable insights for financial decision-making.
This session will examine the theoretical foundations and empirical applications of asset pricing models. Researchers are encouraged to contribute insights on the effectiveness of these models in real-world scenarios.
This track will focus on quantitative methods for market forecasting, including time series analysis and machine learning approaches. Papers should provide evidence of the predictive power of these techniques in financial markets.
This session aims to explore the role of data analytics in informing financial decision-making processes. Contributions should highlight case studies or frameworks that demonstrate successful data-driven strategies.
This track will investigate the latest trends and innovations in the field of quantitative finance. Researchers are invited to discuss new methodologies, tools, and applications that are shaping the future of finance.