Call for Chapters: Psychological Drivers of Herding and Market Overreaction

Editors

OOI LOANG, University of Malaya (UM), Malaysia

Call for Chapters

Proposals Submission Deadline: July 21, 2024
Full Chapters Due: September 22, 2024
Submission Date: September 22, 2024

Introduction

Herding behavior and market overreaction are pivotal phenomena in behavioral finance, with profound implications for market efficiency and investor behavior. Herding, where investors follow the crowd rather than their own analysis, and market overreaction, characterized by excessive responses to new information, cause significant price volatility. These behaviors are driven by psychological factors such as social proof, conformity, fear, and greed. Despite extensive theoretical frameworks, there is a notable paucity of empirical evidence addressing these phenomena in contemporary capital markets. The escalating influence of social media, artificial intelligence, and digital platforms adds complexity to these behaviors, underscoring the urgent need for rigorous empirical research. "Following the Crowd: The Psychological Drivers of Herding and Market Overreaction" aims to bridge this gap. This book calls for contributions that deliver robust empirical evidence and nuanced theoretical insights into the cognitive biases, emotional drivers, financial and economic factors, and technological influences that underpin herding and overreaction, ultimately striving to enhance market stability and inform strategic decision-making in financial markets.

Objective

The book seeks to advance the field of behavioral finance through a comprehensive examination of herding and market overreaction. This book aims to deepen the understanding of these phenomena, focusing on cognitive biases, emotional drivers, financial and economic factors, and technological influences. Robust empirical studies and theoretical insights will be presented to analyze the impact of these behaviors on market dynamics. Additionally, the exploration of social media, AI, and digital platforms' effects on investor behavior will offer strategic guidance for mitigating adverse effects.

Target Audience

This book targets academics, researchers, and students in finance, economics, and psychology, seeking a deeper understanding of herding behavior and market overreaction. Financial professionals, including analysts, portfolio managers, and investment advisors, will find the empirical evidence and theoretical insights valuable for enhancing decision-making processes. Policymakers and regulators interested in promoting market stability and efficiency will benefit from the strategic guidance offered. Additionally, technology specialists and digital platform managers will gain insights into the impact of AI and social media on investor behavior.

Recommended Topics

• Theories of Herding Behavior • Psychological Drivers of Market Overreaction • Cognitive Biases in Financial Decision-Making • Emotional Influences on Investor Behavior • Information-Based Herding Mechanisms • Reputational-Based Herding Mechanisms • Case Studies of Historical Market Overreactions • Impact of Social Media on Investor Behavior • Role of Artificial Intelligence in Detecting Herding • Application of Machine Learning in Predicting Market Overreaction • Technological Influences on Market Dynamics • Financial and Economic Factors Driving Herding • Regulatory Responses to Market Overreaction • Strategies for Mitigating Herding Effects • Investor Education and Cognitive Bias Reduction • Cross-Cultural Studies of Herding and Overreaction • Empirical Evidence of Herding in Contemporary Markets • Behavioral Finance in the Digital Age • Comparative Analysis of Herding in Developed vs. Emerging Markets • Impact of Macroeconomic Indicators on Market Behavior • Future Trends in Behavioral Finance and Market Psychology

Submission Procedure

Researchers and practitioners are invited to submit on or before July 21, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by August 4, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by September 22, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Psychological Drivers of Herding and Market Overreaction. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

July 21, 2024: Proposal Submission Deadline
August 4, 2024: Notification of Acceptance
September 22, 2024: Full Chapter Submission
October 27, 2024: Review Results Returned
November 24, 2024: Final Acceptance Notification
December 1, 2024: Final Chapter Submission



Inquiries

DR. OOI KOK LOANG, LLM, CMIIA, CIA
Department of Finance, Faculty of Business and Economics
University of Malaya (UM)
markooi@um.edu.my



Classifications


Business and Management
Back to Call for Papers List