Issue #1 (Volume 22 2025)

This research paper aims to explore the market efficiency of stock exchanges in of ASEAN-5 countries, Indonesia, Malaysia, Singapore, Thailand, and the Philippines, during the COVID-19 pandemic. Stock market efficiency is the degree to which stock prices reflect all available relevant information. In an efficient market, stock prices will immediately rise or fall to reflect new information released by a company. This study uses the Stochastic Frontier Analysis (SFA) method to determine the efficient value over time. Market efficiency generally refers to how well financial markets in these selected countries reflect all available information, particularly in the context of the COVID-19 pandemic. SFA is useful here as it can separate random errors from inefficiencies, allowing us to isolate the impact of COVID-19 on market efficiency levels across these countries. The results show that the stock markets of ASEAN-5 countries (Indonesia, Malaysia, Thailand, Singapore, and Philippines) are efficient during the COVID-19 pandemic. Based on the hypothesis test, for the overall period of 2021 and 2023, the average efficiency ranges from 0.68 to 0.72, and for the time period/per year the average efficiency ranges from 0.66 to 0.74. The efficiency of the Philippine stock market based on time period/per year shows the average maximum efficiency in 2021 (0.74) and 2023 (0.73). While the average efficiency of the Malaysian stock market shows the minimum level of efficiency in 2020 (0.66) and 2021 (0.68).

Acknowledgment
The authors would like to thank the Research and Innovation Institute (LRI), Universitas Muhammadiyah Surakarta, for the enormous financial support in writing this study.

This study aims to investigate the mediating effect of digital financial inclusion on the relationship between digital financial literacy and the financial well-being of Malaysian households, focusing on gender differences. Using quantitative research, a total of 210 responses, which contained 105 samples for each gender, were collected from households across Malaysia using a self-administered questionnaire. The research model was analyzed using Partial Least Square-Structural Equation Modelling techniques. The findings revealed significant relationships between digital financial literacy and digital financial inclusion, as well as between digital financial inclusion and financial well-being. Additionally, digital financial inclusion was found to significantly mediate the relationship between digital financial literacy and financial well-being, underscoring the importance of digital financial inclusion. The MICOM analysis results show that all constructs have good configural invariance, indicating the measures are consistent across groups. High correlations between males and females suggest similarities, but permutation tests indicate these similarities might be due to chance. Variance differences for digital financial literacy and digital financial inclusion are not significant. However, financial well-being shows a significant variance difference, suggesting less variability among males, supported by higher reliability scores for the financial well-being of males, indicating more consistent responses. Notably, the standardized beta for the digital financial inclusion – financial well-being path is higher among females, indicating a stronger influence of digital financial inclusion on financial well-being for this group. However, the direct relationship between digital financial literacy and financial well-being is insignificant for both genders.

Acknowledgment
This research was supported by the Ministry of Higher Education (MoHE) of Malaysia through the Fundamental Research Grant Scheme (FRGS/1/2022/SS01/UUM/02/10).

Rapid technological advances have made financial markets more accessible and encouraged individual investors to engage in investment decision-making actively. Generation Z, or Gen Z, characterized by higher levels of digital literacy, a high sense of curiosity, and acceptance of innovation, tends to make investment decisions quickly. This study aimed to analyze the effect of technological progress, financial literacy, and financial attitudes on investors’ investment decisions. There are 125 Gen Z investors in Jakarta, Indonesia, selected as research samples using the non-probability sampling method. The survey method was employed to collect data, and the study instrument was a questionnaire. For data analysis, Partial Least Squares version 4.0 was used. The study’s findings revealed that financial literacy and financial attitude positively influence Gen Z investment decisions. Technological progress does not affect Gen Z in determining investment in the financial market. Financial literacy and financial attitude are more dominant for Gen Z investors than technological progress in determining investment allocation. This finding implies that Gen Z must improve their understanding of correct financial literacy and financial attitudes that align with individual investors’ character. Further investigation needs to reveal the insignificance of technological progress in determining investment decisions. Technological progress and financial literacy likely have the same factor characteristics related to three dimensions: knowledge, skills, and attitudes. The attitude of Gen Z investors towards the progress of financial technology by investors is preceded by good financial literacy. Therefore, it is necessary to test the relationship between variables, both mediation and moderation, in investment decisions.

This paper investigates the multifractal behavior of the six largest African stock markets, including the Johannesburg, Casablanca, Botswana, Nigerian, Egyptian, and Regional Stock Exchanges. Despite the growing significance of these markets in the global economy, there is limited understanding of their underlying dynamics, particularly regarding their multifractal properties. This lack of knowledge raises concerns about the informational efficiency of these markets, as traditional models may not adequately capture the complexities of price movements. To achieve the goals of the study, the Multifractal Detrended Fluctuation Analysis (MF-DFA) method is applied to capture the multifractal dynamics, and shuffling and phase randomization techniques are performed to identify the sources of the multifractality of the six African stock markets. The empirical results, derived from the generalized Hurst exponents, Rényi exponents, and Singularity spectrum, show that all six stock markets display multifractal behavior, characterized by irregular and complex price movements that vary across different scales and timeframes. Additionally, the study finds that both long-term correlations and heavy-tailed distributions contribute to the observed multifractality. Long-term correlations lead to persistent price trends, challenging the Efficient Market Hypothesis (EMH), while heavy tails increase market unpredictability by raising the likelihood of extreme events like crashes or booms. The findings have significant practical implications for stakeholders in African stock markets, enabling investors and portfolio managers to enhance risk assessment and develop effective trading strategies while helping market regulators improve efficiency and stability through appropriate policies. Financial institutions can also refine risk management frameworks to better account for extreme events.

The study provides empirical evidence on the cost implications of socially responsible investing (SRI) in relation to Environmental, Social, and Governance (ESG) preferences. Specifically, it examines whether socially responsible investors incur higher costs to meet non-pecuniary goals and how government involvement can offer rewards to socially responsible investors in supporting the realization of the United Nations’ Sustainable Development Goals (SDGs). Using panel data regression, this study analyzes ESG scores and financial and return data of 1,450 firm-year observations in ASEAN-5 countries over the period 2015–2022. The findings reveal that firms implementing ESG practices experience an increase in their cost of capital (CoC), supporting the notion that ESG investment requires a sacrificial cost. Even firms with low operational risks face rising CoC when implementing ESG principles. However, the study also finds that firms located in countries with better government effectiveness and stronger control of corruption benefit from a reduction in CoC, despite ESG implementation. Conversely, country risks, particularly those related to environmental pollution, exacerbate the CoC for firms adhering to ESG criteria. Overall, the results suggest that while country-level governance can reward socially responsible investors by mitigating CoC, country risks such as pollution pose additional burdens, highlighting the need for government intervention to incentivize SRI and align it with global sustainability goals.

Acknowledgment
This research was funded by the Indonesian Ministry of Education, Research, and Technology (DRTPM), Fundamental Research Grant in 2024 [0609.10/LL5-INT/AL.04/2024,359/D.01/LPPM/2024].

Understanding the conditions leading to business failure and predicting them earlier is the best way for companies to overcome and minimize their harm, improve their performance, and avoid financial distress and bankruptcy. This paper aims to measure the level and trends of factors affecting financial distress in Vietnam – an emerging Southeast Asian economy, along with the managerial implications drawn from the research results. Research data were collected from 606 firms listed on the Vietnam Stock Exchange from 2018 to 2022. The Altman Z-score is used to determine the financial distress of these firms. The factors researched and tested in this study are all internal factors divided into two groups with distinct features. Non-financial factors belong to management characteristics; financial factors are typical indicators of a firm’s financial statements. The study uses OLS, FEM, and REM models to analyze the influence of financial factors (Total liability to Total assets, Sales growth, Firm size, and Firm age) and non-financial factors (Board size, CEO duality, Institutional ownership level, Independent member, and Foreign CEOs) on financial distress and GLS regression to overcome the model’s shortcomings. The results show that the factors in the research model significantly impact financial distress, of which six factors (Board size, CEO duality, Institutional ownership level, Foreign CEOs, Sales growth, and Firm age) are negatively correlated. Three other factors (Independent members, Total liability to Total assets, and Firm size) are positively correlated with financial distress.

Acknowledgment
The author thanks everyone who helped make this study possible.