About the Conference


With the emergence of the net zero era, Financial Engineering Association of Taiwan (FeAT) is pleased to announce conference on “2024 FeAT International Conference on Artificial Intelligence, Green Finance, and Investments”, co-organized by Department of Finance, Ming Chuan University on May 3rd, 2024. The conference theme is to facilitate the convergence of scholars, professionals, and policymakers, who will present their research outcomes and engage in deliberations on contemporary and complex matters pertaining to the intersection of artificial intelligence, green finance, and investment decision-making. We cordially invite submissions of exceptional quality that tackle the challenges and explore the opportunities associated with financial aspects of climate and related risks, ESG associated with the performance, investment, and measurement/ratings, and harnessing artificial intelligence techniques in the finance domains specific to the Asia Pacific region. All presenters are invited to submit their papers to a conference special issue of the Pacific-Basin Finance Journal and Sun Yat-sen Management Review .


Topics of Interest

  • Financial disclosure, assessment, and management of climate risk
  • Connectedness of environmental risks
  • Impact of ecological investment in green R&D on firm performance
  • Analysis the impact of carbon emissions on investment returns
  • The asset pricing and investment performance of ESG stock portfolios
  • Role of ESG information on decision making of capital market participants
  • Real effects of ESG and investing on firm behaviors
  • Data analysis, machine learning, and AI techniques
  • Modelling and forecasting asset returns and volatility
  • Quantitative trading and investment
  • Financial market structure and microstructure
  • Empirical evidence on derivatives markets
  • Cryptocurrency and FX markets
  • Financial technology (FinTech)
  • Empirical issue related to asset pricing and investment
  • Empirical issue related to corporate finance
  • Other topics related to data analysis in financial markets