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The study examines the relationship between CEO characteristics and corporate social responsibility (CSR) in China. Previous studies showed that good CSR behaviour could enhance the firm’s financial performance. CEOs are responsible for major decision-making, including CSR policies. This chapter uses all A-share listed firms in China from 2011 to 2020. The authors find that CEO’s gender, age, educational background, and career experience have positive relationships with CSR. This chapter enriches the current literature on the effects of CEO characteristics and highlights the important roles of CEO characteristics in CSR activities.

The purpose of the article is to examine the effect of life cycle stages on capital expenditures, using Borsa Istanbul-listed companies.

The panel data estimation procedure was used as the primary method to test the hypothesis. The authors used four additional analyses to check the robustness of the results. The model was tested for endogeneity using the generalized method of moments (GMM) estimation. Quantile regression was utilized for the non-parametric test of the model. In the third robustness test, the sample was divided into two using financial constraints with the Size-Age (SA) Index proposed by Hadlock and Pierce (2010). The last analysis removed the global financial crisis (GFC) years from the sample.

Borsa Istanbul-listed companies tend to invest less as they move forward in their life cycle stages. The results show that market capitalization, operating cash flow levels and leverage positively affect capital expenditure investments. The empirical evidence also revealed that cash holding levels have a negative effect on capital expenditure decisions. Robustness tests support the results.

The findings are potentially useful for investors and managers. Having the information that decreasing capital expenditures signals that the company is in the last stages of its life would be a sign for managers to improve their investment strategies to avoid getting out of business and survive. They need to find options and solutions to propel their companies back on a path of growth. Additionally, the same information could be vital for investors' investment decisions.

This paper contributes to the literature by providing evidence about the effect of life cycle stages on capital expenditures from an emerging market. To the best of the authors’ knowledge, it is the first paper to investigate empirically how moving forward in the life cycle stages affects capital expenditures in an emerging market.

This study investigates the relationship between female CEOs and SMEs’ financing decisions. The study also examined the moderating role of ownership structure (female, foreign, and state ownership) in female CEO-SMEs’ financing decisions.

The study has applied Generalized Least Square (GLS) and Binomial Logistic Regression. The study has used firm-level data from 2,700 Small and Medium Enterprises (SMEs) in the Chinese economy.

The results suggest that female CEOs use debt financing. However, the financing decision of female CEOs varies if we account for female ownership, foreign ownership, state ownership, firm association with big firms, and the industry in which the firm operates. This study also provides robust evidence that female CEOs utilize debt financing under certain conditions and that female CEOs prefer long-term debt financing to short-term debt financing when considering debt maturity choices.

Recent studies report a negative relationship between female CEOs and financing decisions based on the rationale that females are risk-averse and choose less risky financing compared to their male counterparts. This study posits new evidence that female CEO financing decisions are not always risk averse if we consider female ownership, foreign ownership, state ownership, firm association with big firms, and the industry in which the firm operates. Thus, we contribute to the corporate governance literature, and this study implies a corporate financing policy.

For survival and prosperity, enterprises must pursue exploitative and exploratory innovations simultaneously. To accelerate technological breakthroughs in the wind power industry, the Chinese Government has promulgated several support programs from the demand and supply sides. This study assesses the impact of different categories of innovation policies on exploitative and exploratory innovation. As women also play an increasingly important role in corporate governance, the authors also elucidate the moderating role of female executives in these relationships.

Based on micro-data of 119 listed Chinese wind power firms during 2006–2020, this study provides a theoretical model and tests the hypotheses.

Both demand-side and supply-side innovation policies significantly facilitate exploitative and exploratory innovations of in the Chinese wind power industry. Furthermore, female executives enhance the effects of these policies on exploitative innovation but negatively moderate their effects on exploratory innovation.

Innovation is generally considered homogeneous. This is one of the first studies to evaluate the impact of different categories of innovation policies on exploitative and exploratory innovations. In addition, although the increasingly important role of women in corporate governance is acknowledged, whether and how female executives affect the effectiveness of innovation policies has not been fully explored. This study advances the understanding of the potential impact of female executives on innovation policy effectiveness.

This study aims to provide empirical evidence on the return and volatility spillover structures between Bitcoin, Fintech stocks and Asian-Pacific equity markets over time and during different market conditions, and their implications for portfolio management.

We use Time-varying parameter vector autoregressive and quantile frequency connectedness approach models for the connectedness framework, in conjunction with Diebold and Yilmaz’s connectivity approach. Additionally, we use the minimum connectedness portfolio model to highlight implications for portfolio management.

Regarding the uncertainty of the whole system, we show a small contribution from Bitcoin and Fintech, with a higher contribution from the four Asian Tigers (Taiwan, Singapore, Hong Kong and Thailand). The quantile and frequency analyses also demonstrate that the link among assets is symmetric, with short-term spillovers having the largest influence. Finally, Bitcoins and Fintech stocks are excellent diversification and hedging instruments for Asian equity investors.

There is an instantaneous, symmetric and dynamic return and volatility spillover between Asian stock markets, Fintech and Bitcoin. This conclusion should be considered by investors and portfolio managers when creating risk diversification strategies, as well as by policymakers when implementing their financial stability policies.

The study’s major contribution is to analyze the volatility spillover between Bitcoin, Fintech and Asian stock markets, which is dynamic, symmetric and immediate.

The authors examine if CEO education level and quality impacts firm's corporate social performance (CSP). Additionally, the authors investigate whether other CEO characteristics such as age, busyness, compensation and firm's governance quality moderate the relationship between CEO education and CSP.

The authors use panel regression framework amid set of controls for their analysis. The authors additionally use two-stage least squares regression (2SLS) for robustness tests.

The authors show that CEOs with a post-graduate business degree (PGBUS) impact firm's CSP positively, whereas other educational degree directly do not influence CSP. However, CEO's age, busyness, compensation and firm's governance quality are found negatively moderating such relationship. The results survive set of robustness tests, and results are consistent the roles of upper echelons in Indian firms' strategic behaviors.

The results seek for an integration of more ethics and social responsibility discussions in the different education levels including undergraduate degree in India to help engender a stronger sense of moral consciousness toward firms' stakeholders as the Indian economy continues to develop.

This paper aims to examine the extent to which board composition and ownership structure (OS) affect a firm’s dividend payout (DP) policy.

The sample comprises a total of 1,432 firm-year observations for Gulf Cooperation Council (GCC) nonfinancial firms. Total 179 firms were analyzed from 2009 to 2016. To test the research hypotheses, the paper used panel data analysis (i.e. fixed effects model) and instrumental variable method to ensure the robustness of results against endogeneity effects.

Corporate governance (CG) variables were found to significantly impact DP. Specifically, independent directors on board, institutional ownership and royal ownership were positively associated with DP. In contrast, board size, management, government and family ownership had a negative association with DP. The empirical evidence presented in this study supports that CG elements can be both an outcome and substitute of DP as a disciplinary mechanism.

This study excluded financial firms from the sample list. Future studies should carry out on financial firms to observe if the findings are different. Future research is suggested to incorporate more CG mechanisms. Future studies are suggested to use a dynamic panel regression due to its advantages.

Practitioners, such as investors and lenders operating in GCC markets, can derive valuable insights from this study regarding the influence of board components on DP policy. The study also provides information about the investment and business environment in GCC.

The contribution of this study lies in providing empirical evidence regarding the impact of CG mechanisms and OS on DP in GCC countries.

This study aims to investigate the factors influencing liquidity creation in banks, particularly focusing on the role of bank governance. Using a unique panel data set, it compares Islamic and conventional banks to discern governance’s impact on liquidity creation, offering insights for policymakers and bank managers.

Quantitative analysis is used on a panel data set to assess liquidity creation determinants in banks. A governance index is constructed, analyzing metrics such as risk management, audit committee effectiveness and Shariah board presence. Regression models identify significant relationships between governance factors and liquidity creation.

This study reveals a positive relationship between governance index and liquidity creation, especially in banks with better performance, higher credit risk, smaller size and lower equity, particularly in low-inflation environments. Specific governance practices significantly impact liquidity creation, alongside a positive relationship with Tier1 ratio, supporting the risk absorption hypothesis.

This research offers empirical evidence on the relationship between bank governance and liquidity creation, highlighting its significance for both Islamic and conventional banks. It provides valuable insights for policymakers and bank managers aiming to enhance banking sector stability and efficiency.

The article investigates the wealth generation from takeover bids through an event study, analyzing the impact of announcements on stock returns of target and bidder firms across the industries and related and unrelated industry acquisitions. It aims to provide insights into financial implications for shareholders and market participants, contributing to understanding merger dynamics and informing investment decisions.

The methodology involves data collection of announcement dates, defining event and estimation windows. Market models and four-factor models are applied to compute abnormal returns. Linear regression estimates return, which is aggregated and tested for significance, providing insights into the wealth effects of takeover announcements.

Analysis reveals positive returns for both firms' shareholders on the announcement day, particularly significant for target firms. Pre-announcement, positive abnormal returns suggest potential information leakage, but reverse post announcement. Comparative model analysis emphasizes the role of systematic risk. Notably, a prolonged bidding process benefits the target firm. Trading in target company stocks under unrelated industry acquisitions appears to be more beneficial during the bidding.

This article introduces a novel approach by utilizing a four-factor model for computing abnormal returns, unlike previous research relying solely on the market model. It also focuses separately on related and unrelated industry acquisitions. This methodology captures comprehensive systematic risk, resulting in more conservative and robust abnormal returns. This methodological advancement addresses existing gaps in the literature and provides actionable insights for stakeholders in mergers and acquisitions.

Expanding on the real-world financial market framework and considering the current market turmoil, with cryptocurrencies (where contracts for difference (CFDs) are extremely common) (Hasso et al., 2019) displaying unprecedented volatility, the authors aim to test in an online laboratory setting whether displaying a risk warning message is truly effective in reducing the level of risk taken and whether the placement of this method makes a difference.

To explore the impact of risk disclosure framing on risk-taking behavior, the authors conducted an online pair-wise lottery choice experiment. In addition to manipulating risk awareness through the presence or absence of risk warning messages of varying intensity, the authors also considered dynamic inconsistency, cognitive ability and questionnaire-based financial risk tolerance (FRT) scores. The authors aimed to identify potential relationships between these variables and experimentally elicited risk aversion. The authors' study offers valuable insights into the complex nature of risky decision-making and sheds light on the importance of considering dynamic inconsistency in addition to risk awareness and aversion.

The authors' results provide statistical evidence for the efficacy of informative and very salient messages in mitigating risky decision, hinting at several policy implications. The authors also provide some statistical evidence in support of the relationship between cognitive abilities and risk preferences. The authors detect that individual with low cognitive abilities scores display great risk aversion.

This study investigates the impact of risk warning messages on investment decisions in an online laboratory setting – a unique approach. However, the authors go beyond this and also examine the potential influence of dynamic inconsistency on decision-making, adding further value to the literature on this topic. To ensure a comprehensive understanding of the participants, the authors collect data on cognitive ability and FRT using questionnaires. This study provides a simple and cost-effective framework that can be easily replicated in future research – a valuable contribution to the field.