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This study introduces a new type of platform recommendation about mutual funds and draws on the signaling theory to conduct a quasi-experimental design to investigate how the platform recommendation influences investors’ investment decisions. Moreover, the authors examine the combined effect of star ratings and the platform recommendation on fund flow and test the investment value of recommended funds.

This study implements a quasi-experimental design based on 1,295 mutual funds traded on Alipay’s online platform to test the hypotheses.

The empirical results show that the recommended funds received higher fund flows from investors when the platform recommendation was established. Moreover, a substitution effect between tag recommendation and star ratings on fund flow was identified. We also uncovered that investing in platform-recommended funds can yield significant and higher fund returns for investors than those without platform recommendations.

Our findings shed new insights into the role of platform recommendations in helping fund investors make investment decisions and contribute to the business of online mutual fund transactions by investigating the effect of platform recommendations on fund flow and performance.

This paper aims to examine the impact of corporate environmental transparency (CET) on corporate financial performance under a mandatory environmental disclosure policy in China, the largest carbon-emitting country. It aims to clarify the concept of CET and investigate its short-term financial implications for key pollutant-discharging entities (KPEs).

A multidimensional model is used to construct a comprehensive CET index for KPEs in China. Empirical tests are conducted to assess the relationship between CET and corporate financial performance.

The study finds a negative relationship between CET and corporate financial performance in the short term. Increased environmental transparency necessitates higher environmental resource allocation, adversely affecting profits. The results remain unchanged from a battery of robustness tests. Despite mandatory disclosure, companies tend to provide general and vague information rather than specific and meaningful environmental data.

The findings provide rich practical implications for policymakers to improve a mandatory environmental disclosure policy. The paper also contributes to the existing knowledge by developing a measure of CET and presenting new evidence to the debate on whether corporate environmental disclosure can be regarded as transparency.

Policymakers are advised to refine mandatory environmental disclosure regulations to ensure genuine transparency and to implement policy measures that alleviate the financial burdens of companies with high CET levels, thereby encouraging sustainable practices.

This paper contributes to the existing knowledge by developing a measure of CET and providing new evidence on the debate over whether environmental, social and governance (ESG) disclosure equates to transparency. It emphasizes the complexity of transparency and the inadequacy of current environmental disclosure practices among KPEs. The study underscores the need for financial support for companies with high CET levels to alleviate short-term financial strains and promote long-term sustainability.

This case study focuses on an alternative minimum-security model, the Safety Income (SI) Model, representing a nuanced departure from both established policies and UBI. StI is a welfare system that supplements households earning below the standard median income with 50% of the difference between the standard median and their current earnings. The quantitative case study presents the set-up of SI and assesses the cost of its implementation in South Korea. By employing a computable general equilibrium model method, the study compares the impacts of SI, UBI and the existing scheme in South Korea on income disparities, labor market outcomes and Gross Domestic Product.

In the past decade, the Universal Basic Income (UBI) concept has gained international significant traction as a potential remedy for poverty and inequality. However, the practical implications of UBI implementation remain under extensive debate. It is unclear if UBI is an effective model for poverty alleviation.

The analyses show that SI outperforms the other two welfare systems across all studied economic indicators. SI demonstrates more substantial reductions in income inequality compared with UBI and the existing scheme, minimal impact on unemployment rates compared with other schemes and a relatively modest decrease in GDP, making it a more favorable choice for South Korea when developing the minimum-security system within the specified budget constraint.

This research contributes to the discourse surrounding basic income, economic security, poverty alleviation and inclusive social policies.

In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It also explores how the personal traits of (CEOs) – such as age, gender and educational background – intersect with DT to shape the IC quality in various types of state-owned enterprises (SOEs).

The study uses the data from China A-shares non-financial enterprises, listed on Shanghai and Shenzhen stock exchanges between 2007 and 2020. Using the fixed effect regression method alongside various statistical techniques, such as propensity score matching, alternative analysis and instrumental variables analysis, yields robust findings. These methods effectively address issues related to functional form misspecification and potential biases from omitted explanatory variables.

The findings reveal a positive impact of DT on firm IC quality, and this impact is more pronounced in firms when the CEO is female, young and possesses a higher level of education. Notably, the study also distinguishes between central and local state-owned enterprises (SOEs), highlighting that DT has a greater influence on IC quality in central SOEs, where CEOs often have higher political ranks and closer to government monitoring. Overall, the findings are robust and consist to alternative variable and other statistical methods.

Following are the significant implications for both academia and business. First, firms that effectively adopt DT to enhance IC not only gain a strategic advantage over competitors but also establish efficient risk management practices and a robust IC system. Second, better IC resulting from DT can enhance investor and stakeholder confidence. This is particularly important for publicly traded companies, where investors and analysts closely scrutinize the robustness of IC systems. Third, DT could result in cost savings over time, as automation and streamlined processes may reduce the need for manual efforts and resource-intensive tasks associated with IC.

The findings are contributed to the literature in multiple ways. It enhances our comprehension of the intricate DT-IC quality relationship, and provides valuable insights into the transformative impact of DT on organizational operations and risk management. It also introduces a novel perspective by investigating how CEOs personal traits intersect with DT to shape IC quality, contributing to upper echelons theory. Furthermore, it expands the discussions on firm ownership by considering the types of SOEs (central vs. local), in the DT-IC quality context.

The primary objective of this research is to explore the potential of utilizing Global Consciousness Project (GCP) data as a tool for understanding and predicting market sentiment. Specifically, the study aims to assess whether incorporating GCP data into econometric models can enhance the comprehension of daily market movements, providing valuable insights for traders.

This study employs econometric models to investigate the correlation between the Standard & Poor's 500 Volatility Index (VIX), a common measure of market sentiment and data from the GCP. The focus is particularly on the largest daily composite GCP data value (Max[Z]) and its significant covariation with changes in VIX. The research employs interaction terms with VIX and daily returns from global markets, including Europe and Asia, to explore the relationship further.

The results reveal a significant relationship with the GCP data, particularly Max[Z] and VIX. Interaction terms with both VIX and daily returns from global markets are highly significant, explaining about one percent of the variance in the econometric model. This finding suggests that variations in GCP data can contribute to a better understanding of market dynamics and improve forecasting accuracy.

One limitation of this study is the potential for overfitting and P-hacking. To address this concern, the models undergo rigorous testing in an out-of-sample simulation study lasting for a predefined one-year period. This limitation underscores the need for cautious interpretation and application of the findings, recognizing the complexities and uncertainties inherent in market dynamics.

The study explores the practical implications of incorporating GCP data into trading strategies. Econometric models, both with and without GCP data, are subjected to an out-of-sample simulation where an artificial trader employs S&P 500 tracking instruments based on the model's one-day-ahead forecasts. The results suggest that GCP data can enhance daily forecasts, offering practical value for traders seeking improved decision-making tools.

Utilizing data from the GCP is found to be advantageous for traders as noteworthy correlations with market sentiment are found. This unanticipated finding challenges established paradigms in both economics and consciousness research, seamlessly integrating these domains of research. Traders can leverage this innovative tool, as it can be used to refine forecasting precision.

This study aims to examine the impact of board characteristics on climate change disclosures (CCDs) in the context of an emerging economy, with a unique focus on regulatory influences.

This study analyzes longitudinal data (2014–2021) from environmentally sensitive firms listed on the Dhaka Stock Exchange, using a disclosure index developed within the Global Reporting Initiative framework. The authors use a neo-institutional theoretical lens to explore regulatory influences on CCD through board characteristics. This study uses hand-collected data from annual reports owing to the absence of an established database.

The results indicate that a larger board size, the presence of foreign directors and the existence of an audit committee correlate with higher levels of CCD disclosure. Conversely, a higher frequency of board meetings is associated with lower CCD disclosure levels. This study also observed an increase in CCD following the implementation of corporate governance guidelines by the Bangladesh Securities and Exchange Commission, albeit with a relatively low number of firms making these disclosures.

This study contributes to the climate change reporting literature by providing empirical evidence of regulatory influences on CCD through board characteristics in an emerging economy. However, the findings may not be universally applicable, considering the study’s focus on Bangladeshi listed firms.

This study suggests growing pressures for diverse stakeholders, including researchers and regulatory bodies, to integrate climate change disclosure into routine activities. This study offers a valuable framework and insights for various stakeholders.

By emphasizing the influence of good governance and sustainability practices, this study contributes to stakeholders’ understanding, aiming to contribute to a better world.

This study stands out by uniquely positioning itself in the climate change reporting literature, shedding light on regulatory influences on CCD through board characteristics in the context of an emerging economy.

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 purpose of this study was to leverage agency theory to examine the impact of board attributes on cash flow management in Ghana’s financial institutions.

Data for the study was collected from the annual published financial statements of selected financial institutions, which were obtained from their respective websites. The sampling technique used was purposive, resulting in the selection of 15 financial institutions in Ghana, of which 10 were listed on the Ghana Stock Exchange and 5 were non-listed. The study covered a period of 10 years, ranging from 2011 to 2020. The two-step generalized method of moments estimation was used to determine the relationship between the board attributes and cash flow management.

The study found that board size had a positive and significant influence on net cash flow from operating, investing and financing activities. The study also discovered that the proportion of nonexecutive directors had a positive and significant influence on net cash flow from operating, investing and financing activities. In addition, it was revealed that the proportion of female directors on the board exhibited a positive and significant influence on net cash flow from operating activities but a negative and significant influence on net cash flow from investing and financing activities.

The study recommends increasing female representation on corporate boards to 25%, as women bring valuable skills, knowledge and experience that positively impact the financial institutions’ cash flows.

This study focused on the impact of board attributes on cash flow management within Ghana. It explored how corporate governance affects strategic decisions related to cash flow management, contributing original insights to this field of research.

We examined the dynamic volatility connectedness and diversification strategies among US real estate investment trusts (REITs) and green finance indices.

The DCC-GARCH dynamic connectedness framework and he DCC-GARCH t-copula model were employed in this study.

Using daily data from 2,206 observations spanning from 2 January 2015 to 31 January 2023 this paper presents the following findings: (1) cross-market spillovers exhibited a high correlation and significant fluctuations, particularly during extreme events; (2) our analysis confirmed that REIT acted as net receivers from other green indices, with the S&P North America Large-MidCap Carbon Efficient Index dominating the in-network volatility spillover; (3) this observation suggests asymmetric spillovers between the two markets and (4) a portfolio analysis was conducted using the DCC-GARCH t-copula framework to estimate hedging ratios and portfolio weights for these indices. When REIT and the Dow Jones US Select ESG REIT Index were simultaneously added to a risk-hedged portfolio, our findings indicated that no risk-hedging effect could be achieved. Moreover, the cost and performance of hedging green assets using REIT were found to be comparable.

We first examined the dynamic volatility connectedness and diversification strategies among US REITs and green finance indices. The outcomes of this study carry practical implications for market participants.