The International Conference on Behavioral Finance and Data-Driven Insights (ICBFDI - 27) features a diverse range of session tracks designed to cover key research areas, emerging trends and interdisciplinary innovations within the field of Accounting,Data Analytics,Finance.
These sessions provide a platform for researchers, academicians, industry professionals and practitioners to present their work, exchange ideas and explore the advancements shaping the future of the domain.
Each track is carefully curated to encourage knowledge sharing, collaboration and meaningful discussion, and is aligned with the United Nations Sustainable Development Goals.
Submit Your AbstractInternational Conference on Behavioral Finance and Data-Driven Insights (ICBFDI - 27) 设有多个分会主题,涵盖重要研究领域、前沿趋势与跨学科创新成果。
各分会主题为研究人员、学者、行业专家及实务工作者提供展示研究成果、交流学术思想、探讨领域发展的平台。
每个分会主题均经过精心设置,旨在促进知识共享、学术合作与深入研讨,并与联合国可持续发展目标(SDGs)保持一致。
提交摘要The session tracks of International Conference on Behavioral Finance and Data-Driven Insights (ICBFDI - 27) support the following United Nations Sustainable Development Goals through research, collaboration and knowledge exchange.
本次会议的分会主题通过科研、合作与知识交流,支持以下联合国可持续发展目标。
Browse every track scheduled for this conference.
浏览本次会议的全部分会主题。
This track explores the cognitive biases and emotional factors that influence investor behavior and decision-making. It aims to provide insights into how psychological principles can be applied to understand market dynamics and investor actions.
SDG 3
SDG 4
This session focuses on the integration of data analytics in enhancing financial decision-making processes. Participants will discuss methodologies for leveraging data to inform investment strategies and operational choices.
SDG 8
This track examines advanced techniques in market analysis and predictive modeling to forecast financial trends. It emphasizes the importance of data-driven approaches in understanding market movements and investor sentiment.
SDG 9
This session addresses the role of behavioral factors in risk assessment and management within financial contexts. It aims to uncover how psychological insights can improve risk evaluation and mitigation strategies.
SDG 3
SDG 11
This track focuses on the application of data analytics in portfolio management and optimization. Participants will explore innovative techniques for enhancing portfolio performance through behavioral insights and analytical tools.
SDG 8
This session highlights the role of business intelligence in driving operational efficiency within financial institutions. Discussions will center on data-driven strategies that enhance performance and streamline processes.
SDG 9
This track investigates how behavioral finance principles can inform and improve investment strategies. It encourages the exploration of innovative approaches that align investor psychology with market opportunities.
SDG 3
SDG 4
This session delves into the analysis of market trends through the lens of behavioral analytics. Participants will examine how behavioral patterns can provide valuable insights into market movements and investor actions.
SDG 3
SDG 11
This track focuses on the application of predictive analytics in understanding and forecasting financial market behavior. It aims to highlight the significance of data-driven predictions in shaping investment decisions.
SDG 9
This session explores the integration of data analytics within accounting practices to enhance accuracy and decision-making. Participants will discuss innovative approaches to utilizing data for financial reporting and compliance.
SDG 8
This track examines the application of behavioral insights in enhancing risk management frameworks. It aims to provide a deeper understanding of how psychological factors can influence risk perception and management strategies.
SDG 3
SDG 4
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