Behavioral Finance and AI Tools for Sustainability

When enhanced by artificial intelligence (AI), behavioral finance can be used to identify trends harmful to sustainability. AI allows for the analysis of massive volumes of data to detect behaviors and financial decisions contrary to sustainability principles. The integration of behavioral finance principles and artificial intelligence (AI) tools support economic, social, and environmental sustainability. Behavioral Finance and AI Tools for Sustainability explores how machine learning algorithms, sentiment analysis, and other technological tools can be used to positively influence financial behaviors and encourage responsible investment practices. It delves into the detection of market anomalies and the evaluation of their long-term impact on sustainability goals, highlighting strategies to address these distortions. Covering topics such as cognitive biases, financial literacy, and global regulation, this book is an excellent resource for financial analysts, portfolio managers, investment advisors, regulators, policymakers, professionals, researchers, scholars, academicians, and more.

Fouad Daidai is an Associate Professor at ENCG El Jadida, specializing in finance and accounting. With a PhD in Economic Sciences and Management, he teaches subjects such as portfolio management, capital markets, etc. His research, published in Scopus-indexed journals, focuses on corporate governance, capital structure, artificial intelligence (AI), and blockchain technology. He explores the impact of AI on governance, financial reporting accuracy, and market trend prediction. His work on blockchain highlights its potential to enhance transparency, security, and efficiency in financial transactions. Dr. Daidai is also a peer reviewer for Scopus-indexed journals and a member of the editorial board of Alternatives Managériales et Economiques. He actively participates in international conferences, presenting his research and collaborating with global experts to contribute to advancements in finance and management technologies.

Mimoun Benali is a full professor in finance at the Sidi Mohamed Ben Abdellah University in Fez. He holds a PhD and is affiliated with an academic institution where he actively contributes to research and supervises doctoral students. His expertise includes behavioral finance, financial and non-financial risk management, artificial intelligence applied to finance, and sustainable financing strategies. He has published several articles in indexed journals, including on energy efficiency, private equity, and machine and deep learning algorithms to model financing decisions and financial asset valuation. His recent publications include the impact of driver behavior on carbon footprint as well as the application of machine learning techniques to predict stock prices in the energy sector in Morocco. In addition, he actively supervises PhD projects covering a wide range of topics, from risk management in publicly traded companies to the impact of AI on decision-making in Moroccan private equity firms.

Larbi Tamnine is a full professor in Management Sciences and a member of the Agrégation Committee in Economics and Management. He serves as Deputy Director for Academic Affairs at ENCG, Sidi Mohamed Ben Abdellah University, Fès. With extensive teaching experience, he covers Moroccan and international economics, advanced accounting, strategic management, corporate taxation, and financial analysis. Dr. Tamnine has published widely in prestigious journals, focusing on corporate governance, capital structure, and the impact of AI and blockchain in finance and accounting. His notable works include studies on e-government, HR modernization in public administration, and blockchain’s role in governance. He actively participates in international conferences, collaborating with global experts. Dr. Tamnine has co-authored practical manuals on tax, social, civil, and commercial law, approved by Morocco’s Ministry of National Education. He also founded an educational website offering resources for economics and management students. Recognized for his contributions, he brings innovation and new perspectives to teaching and research in management sciences.