Board Gender Diversity and Bank Performance: Evidence from Australia

Jacie Jia Liu, Kevin Daly and Anil Mishra ()

Chapter 2 in Banking Resilience:New Insights on Corporate Governance, Sustainability and Digital Innovation, 2024, pp 69-100 from World Scientific Publishing Co. Pte. Ltd.

Abstract: This chapter examines any possible impact of board gender diversity on the performance of Australian banks concerning profitability, valuation, and efficiency for the period of 2004–2019. Several book- and market-based measures, as well as risk-adjusted performance measures, are studied. Generally, a moderate level of diversity is associated with better performance. Similar to the risk-diversity nexus, the effect of increasing board gender diversity may be conditional on the current amount of diversity on the board. Too high or too low level of diversity could be detrimental to bank performance.

Keywords: Corporate Governance, Board Characteristics, Board Structure, Banking Institutions, Historical Literature Review, Financial Crisis, Bank Risk, CEO, Corporate Social Responsibility, CSR, Bank Efficiency, Board Governance, Board Size, Board Independence, Gender Diversity, Blau Index, Risk-adjusted Bank Performance, Tobin's Q, Return-on-Risk-Adjusted-Capital, Sharpe Ratio, Sortino Ratio, Board Diversity, Bank Risk, Bank Performance, Cost Efficiency, Bank Stability, Cultural Openness, Women Directors, Foreign Directors, Directors Educational Level, Islamic Banks, Board Diversity, Gender Diversity, Gender Quota, Emerging Economy, Bank Outcomes, Attendance, Board Effectiveness, Private Banks, Public Sector Banks, India, Corporate Social Responsibility, ESG, Sustainable Finance, Responsible Investing, Socially Responsible Banks, Risk Management, Stakeholder Engagement, Financial Stability, Sustainability, Firm Value, Climate Finance, Policy Uncertainty, Financial Stability, Climate Risk, Bibliometric Analysis, Financial Markets, Financial Assets, Asset Pricing, Capital Flows, Sustainability, Accruals, Earnings Management, Accounting Value, National Culture , Cultural Dimensions , Collective Intelligence , Secrecy, Intelligence Quotient, International Accounting, Covid-19, Pandemic, Impact, Risk, GCC Banks, GCC Islamic Banks, Conventional Banks, Profitability, Capitalization, Resilience, Asset-based Indicators, Bank, China, Density, Diversification, FinTech, Focus, Income-Based Indicators, Kernel, Quantile Regression, Big Data, Economic Capital, Emerging Markets, FinTech, GARCH-M (1; 1), GCC Financial Markets, Liquidity Risk, Reinforcement Machine Learning, Risk Management, Portfolio Management, Liquidity-Adjusted Value at Risk, Risk Metrics, Risk Spillover Effects, Internet Finance, GARCH Models, VaR Models, CoVaR Models, Securities Firms, COVID-19, Systemic Risks, China, Regulatory Reporting, Systemic Risk, Financial Stability, SupTech, RegTech, Financial Reporting, Algorithmic Data Standards, Blockchain, Financial Crisis, BCBS 239, Banks, Gulf Cooperation Council (GCC), Political Connections, Trade-Off Theory, Pecking Order Theory, Capital Structure, Risk, Profitability, Speed Of Adjustment, Generalized Method of Moments (GMM), Flash Crash, High Frequency Traders, Regulatory Framework, Algorithms, Algorithmic Trading (AT), Financial Market, Capital Market, (search for similar items in EconPapers)
JEL-codes: G21 G3 G34 (search for similar items in EconPapers)
Date: 2024
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