ICDAFI · Registering as Listener

International Conference on Data Analytics for Finance and Investment

1st Dec – 2nd Dec 2026 Nairobi, Kenya Standard / Physical Participation
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ConferenceICDAFI
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Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Data Analytics for Finance and Investment conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 1 - No Poverty SDG 3 - Good Health and Well-being SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure

This track focuses on the application of predictive modelling techniques to enhance decision-making in financial markets. Researchers are invited to present methodologies that improve forecasting accuracy and market predictions.

This session explores quantitative methods for assessing and managing financial risks. Contributions should highlight innovative approaches to risk measurement and mitigation in various investment contexts.

This track examines advanced portfolio optimization strategies that leverage data analytics. Papers should discuss the integration of quantitative models and real-time data to enhance investment performance.

This session emphasizes the role of big data analytics in financial forecasting. Researchers are encouraged to share insights on how large datasets can be utilized to improve predictive accuracy in finance.

This track investigates the development and application of asset pricing models in the context of market analytics. Contributions should focus on empirical studies that link pricing theories with market behavior.

This session delves into the design and implementation of algorithmic trading strategies powered by data analytics. Papers should explore the effectiveness of these strategies in various market conditions.

This track highlights the use of business intelligence tools in enhancing financial planning processes. Researchers are invited to present case studies that demonstrate the impact of analytics on strategic financial decisions.

This session focuses on the integration of machine learning techniques in financial analysis and decision-making. Papers should explore novel applications that enhance investment strategies and risk assessment.

This track examines the development of decision support systems that aid in formulating investment strategies. Contributions should address the role of analytics in optimizing investment decisions.

This session explores the intersection of financial strategy and capital market dynamics. Researchers are encouraged to analyze how strategic decisions influence market behavior and investment outcomes.

This track focuses on the development and application of performance metrics in financial analytics. Papers should discuss methodologies for evaluating the effectiveness of investment strategies and financial models.

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