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Determining the impact of behavioral influences on the stock market has significant implications for investment analysis and portfolio management. Behavioral biases are parameters that need to be considered in investment decision-making. The purpose of this study is to inform Bangladeshi investors about behavioral biases that they may encounter when making investment decisions in the prevailing frontier environment.

Through the chi-square test, one-way ANOVA, paired-samples t-test and descriptive analysis based on the facts collected from 281 respondents of the Dhaka Stock Exchange (DSE), the study has found that individual investors of Bangladesh often make investment decisions emotionally rather than based on theories.

The result shows that risk aversion and risk perception are the two most influential emotional dimensions that impact investors' decisions. The findings are consistent with the other researchers and highlight the fact that investors hardly act according to the norms recommended in the financial theories.

The findings are grounded on a small portion of investors at DSE on some particular days, which is not sufficient to study individual investors' entire complex decision-making behavior from various angles. Many respondents were reluctant and even confused to disclose their behavioral aspects. These, along with biased and careless answers, may impede the identification of the actual scenario of the behavioral responses in decision-making that demand further study.

The novelty of this study is unique in that it examined investors of the DSE, who are considered to be a representative in a frontier market like Bangladesh. Since this market is not very resilient, small investors need to be aware of the biases of behavioral factors to survive.

Studying abroad is not new for Hong Kong students, especially those from the middle class. For a variety of reasons, traversing to Mainland universities has been an unconventional path confined mostly to students who pursued specific programs, or had family or social ties. Beginning in 2012, an admission scheme was launched for Hong Kong students applying to Mainland universities. The purpose of this paper is to review the admission scheme.

This paper draws on both quantitative and qualitative data sources. It includes statistics from official records of students’ application and enrollment figures, and documents obtained from multiple sources, as well as qualitative data through interviews of Hong Kong students who are studying in the Mainland universities.

The key findings are that since the implementation of the admission scheme, the number of applicants is rather stable irrespective of the changing socio-economic and political context. With the preferential treatment for Hong Kong students, low tuition fees, government financial assistance and scholarships, most students still consider studying in the Mainland a backup plan rather than a first choice. The academic performance of the students and academic/career aspirations have influenced their choice and decisions.

This paper contributes through providing both primary and secondary data to help understand the level of acceptance on the scheme since its implementation. It also reveals the perceptions of the students who have made their choice to study cross the border. In facing the emergent economic, socio-cultural and political challenges, some policies recommendations are proposed to boost the acceptance of the scheme. Moreover, it fills the research gap on student mobility from Hong Kong to Mainland China in the corpus of literature.

This paper aims to determine the influence of various corporate characteristics such as total assets (TA), total sales (TSE), return on assets (ROA), return on sales (ROS), liquidity and age on leverage of the listed non-financial companies in the Dhaka Stock Exchange (DSE).

A non-probability sampling technique has been used in this study, and the leverage of 106 companies listed in the DSE has been examined for the time period 2011-2015. Multiple regression models are used to estimate the influence of corporate characteristics on leverage and leverage is measured by the debt ratio, that is, total liabilities divided by total assets (TA).

The results obtained from the regression models show that TA, ROA and age are negatively and significantly related to the leverage of companies.

Considering only non-financial companies as the sample is a limitation. Hence, the results may not extend across all listed companies in Bangladesh. The study explores only six corporate characteristics variables; other factors influencing the leverage of the firm such as the number of foreign shareholders, ownership structure and auditors’ opinion could be explored in further studies.

The finding of this study contributes to the regulators and enforcement agencies such as Institute of Cost and Management Accountants of Bangladesh (ICMAB), Institute of Chartered Accountants of Bangladesh (ICAB), the Securities and Exchange Commission (SEC) and the DSE. It will enable the regulatory agencies to aim at greater compliance with the local and international standards and also enforce penalties for non-compliance.

Flipped classroom approaches (FCA) are an educational innovation that could increase students' learning outcomes in, and their enjoyment of, mathematics or STEM education. To integrate FCA into education sustainably, professional teacher development (PTD) is a promising tool. The research aim is to explore which aspects should be considered when developing and implementing professional mathematics or STEM teacher development for flipped approaches.

A total of 20 expert interviews were conducted and analysed according to a synthesis of grounded theory approaches and qualitative interview study principles.

Evaluating the interview data indicates that the characteristics of different teacher types in PTD, learning activities in PTD and the DSE model derived in this study could be vital elements in professional mathematics or STEM teacher development for flipped approaches.

Evaluating the interview data indicates that the characteristics of different teacher types in PTD, learning activities in PTD and the DSE model derived in this study could be vital elements in professional mathematics or STEM teacher development for flipped approaches.

The field of Professional Development Schools (PDS) continues to evolve with promising implications. As part of advancing practice, the National Association for Professional Development Schools has updated its nine essential guiding principles, which now includes an explicit expectation for all PDS partners to advance equity, anti-racism and social justice. This article is a call for critical professional development work which infuses Disability Critical Race Theory (DisCrit) practices into achieving the Nine Essentials.

In this call-to-action article, the authors argue that it is imperative for the whole of PDS work to establish a priority for inclusive practice that recognizes and responds to all aspects of diversity in education from the outset, including disability. The authors suggest that PDS work must be guided by an intersectional approach that is operationalized to achieve equity in education by dismantling both racism and ableism in education. The authors use an action-based example from our PDS work to exemplify these elements in practice.

In this article, the authors put forth two arguments that they urge their PDS colleagues to consider. First, the authors call for practices within PDS to give attention to improving student learning in ways that specifically address disability and intersectional considerations related to disability. Second, the authors urge that PDS work must be conceptually and practically inclusive in order to achieve the social justice impact put forth in the comprehensive mission of the Nine Essentials.

There is a growing body of literature around PDS that addresses theory to practice research and best practices in PDS settings. While some recent publications address inclusive PDS practices, the authors were not able to identify any works related to DisCrit in the PDS literature to date.

Despite the growing recognition of the complex interplay between macroeconomic shock indexes and stock market dynamics, there is a significant research gap concerning their interconnectedness and return spillovers in the context of the African stock market. This leaves much to be desired, given that the financial market in Africa is arguably one of the most preferred destinations for hedge and portfolio diversification (Alagidede, 2008; Anyikwa and Le Roux, 2020). Further, like other financial markets across the globe, the increased capital flow, coupled with declining information asymmetry in Africa, has deepened intra and inter-sectoral integration within and across national borders. This has, thus, increased the susceptibility of financial markets in Africa to spillover of shocks from other sectors and jurisdictions. Additionally, while previous studies have investigated these factors individually (Asafo-Adjei et al., 2020), with much emphasis on developed markets, an all-encompassing examination of spillovers and the connectedness between the aforementioned macroeconomic shock indexes and stock market returns remains largely unexplored. This study happens to be the first to consider the impact of each of the indexes on stock returns in Africa, with evidence spanning from May 2007 to April 2023, covering notable global crisis episodes such as the Global Financial Crisis (GFC), the COVID-19 pandemic and the Russia–Ukraine war.

This study employs the novel quantile vector autoregression (QVAR) model, making it the first of its kind in literature. By applying the QVAR, the study captures the potential nonlinear and asymmetric relationship between stock returns and the factors of interest across different quantiles, i.e. bearish, normal and bullish market conditions. Thus, the approach allows for a more accurate and nuanced examination of the tail dependence and extreme events, providing insights into the behaviour of the variables under extreme events.

The study revealed that connectedness and spillovers intensified under bearish and bullish market conditions. It was also observed that, among the macroeconomic shock indicators, FSI exerted the highest influence on stock returns in Africa in both bullish and normal market conditions. Across the various market regimes, the Egyptian Exchange (EGX) and the Nairobi Stock Exchange (NSE) were net receiver of shocks.

This study happens to be the first to consider the impact of each of the indexes on stock returns in Africa, with evidence spanning from May 2007 to April 2023, covering notable global crisis episodes such as the GFC, the COVID-19 pandemic and the Russia–Ukraine war. On the methodology front, this study employs the novel QVAR model, making it one of the few studies in recent literature to apply the said method.

The purpose of the present study is to determine how the cash conversion cycle (CCC) affects the financial performance of manufacturing companies in Bangladesh.

The authors have collected data of 61 Dhaka Stock Exchange (DSE)-listed firms from the 10 distinct manufacturing industries of Bangladesh for 18 years, from 2003 to 2020. The data have been analyzed through the two-steps system generalized method of moment (GMM) regression model, using profitability indicators return on asset (ROA) and earnings per share (EPS) as dependent variables, while CCC has been used as the independent variable, whereas asset turnover (ATO) and financial leverage (LEV) were used as control variables to assess the relationship between the CCC and financial performance.

The findings indicated that CCC has a negative connection with profitability – ROA and EPS, with the connection between CCC and EPS being highly significant. This indicates that reducing the inventory conversion time, reducing the period of receivable collection and making payments to creditors with potential delays might help Bangladeshi manufacturing firms boost their profitability. In addition, the firm-specific characteristics, namely ATO and LEV significantly affect the firm's profitability.

The research was based only on secondary sources and information was scarce. This research was conducted to determine the impact of the CCC on the corporate profitability of the manufacturing sector solely. There might be many other working capital variables that are still unexplored through this study.

The current study's findings are consistent with the traditional rule that minimizing the firm's days of the cash cycle may optimize financial performance. The results of this research have added to the existing body of knowledge on the topic of working capital management (WCM). Future research endeavors can be initiated for assessing the impact of the CCC on the firm's profitability in other industrial sectors or to identify other working capital variables that have much impact on corporate profitability.

This study is an original work of the researchers and adds value to the current literature in the domain of WCM and corporate profitability. The present study is the first one that covers firms in all the manufacturing industries in Bangladesh. The corporate managers, creditors, investors and other concerned stakeholders will be benefited from the findings of the present study.

The purpose of this study is to analyze and forecast the financial sustainability and resilience of commercial banks of Bangladesh in response to the negative effects of COVID-19 pandemic.

Eighteen publicly listed commercial banks of Dhaka Stock Exchange (DSE) have been taken as a sample for this study. To measure the riskiness of banks' credit portfolio, nine industries of DSE have been considered to determine probable loss of revenue arising from the COVID-19 pandemic shock. Moreover, two commonly used multiple-criteria-decision-making (MCDM) tools namely TOPSIS method and HELLWIG method have been used for analyzing the data.

Based on the performance scores under TOPSIS and HELLWIG method, banks are categorized into three groups (six banks each) namely top resilient, moderate resilient and low resilient. It is found that EBL and DBBL are the most resilient banks, and ONEBANK is the worst resilient bank in Bangladesh in managing the COVID-19 pandemic shock.

This study concludes that banks with low capital adequacy, low liquidity ratio, low performance and higher NPLs are more vulnerable to the shocks caused by the COVID-19 pandemic. The management of commercial banks should emphasize on maintaining higher capital base and reducing default loans.

Resilience of the Bangladeshi banking sector under any adverse economic event has been examined by only using stress testing approach. This study is empirical evidence where both TOPSIS and HELLWIG MCDM methods have been used to make the result conclusive.

This paper focuses on the extent to which Swedish municipalities identified and communicated risks due to the COVID-19 outbreak early on. The purpose of this paper is to explore to what extent the situational factors of the COVID-19 pandemic influenced the likelihood of municipalities disclosing COVID-19 information as a subsequent event in the annual reports of 2019.

Logistic regression models were used to estimate COVID-19 disclosure as a subsequent event. Data were handpicked from annual reports, audit reports and meeting minutes, or were retrieved from publicly available sources.

Regression results indicate that municipalities issuing their annual report in a later stage of the pandemic, in regions with a higher number of confirmed COVID-19 cases, were more likely to disclose COVID-19 information as a subsequent event. However, the municipal factors used to capture the risk of a severe impact of the COVID-19 outbreak were not of major importance. In line with previous research, this study shows that political and institutional factors have explanatory power in predicting and explaining accounting disclosure choices.

This paper contributes to research on accounting disclosures in urgent crises and on the specific topic of subsequent events in the public sector. Few studies address subsequent events in a corporate setting and, to the best of the authors’ knowledge, none do so in the context of the public sector. This paper also offers insight into how explanatory factors, previously tested under normal conditions and circumstances, influence disclosure choices in an early stage of a health crisis characterized by uncertainty regarding both occurrence and consequences.

The purpose of this study is observing the disclosure pattern of integrated reporting (IR) and investigating its relationship with a firm's operational, financial and market growth performance measured in the form of return on assets (ROA), return on equity (ROE) and market-to-book value ratio respectively in the voluntary disclosure regime of Bangladesh.

This research is quantitative, based on a pooled-OLS regression analysis of 20 firms listed under ten different nonfinancial industries of the Dhaka Stock Exchange (DSE) for three financial years from 2015–2016 to 2017–2018, with 60 firm-year observations. A manual content analysis based on a structured integrated reporting disclosure index (IRDIN) measures the extent of disclosure in the corporate annual reports. The practical model consists of the dependent variable IRDIN and the independent variables ROA, ROE and market-to-book value ratio. The natural logarithm of total assets and financial leverage are the two controlling variables used in the model.

The findings deduced from the empirical results indicate that the IRDIN is positively and significantly related to all three performance variables. Content analysis shows an increasing pattern of disclosure of the constructed index elements by the sample firms.

A Small sample size may deter the generalization of the research findings in other voluntary disclosure regimes. Self-constructed IRDIN index scores may be affected by subjective judgment while assessing the annual reports.

Capital market regulators can gain valuable insights regarding the suitability of implementing IR in Bangladesh as the results show a positive relationship of firm performance with the adoption of this revolutionary paradigm in corporate reporting.

This study adds value to the existing limited literature of IR disclosure and firm performance in Bangladesh by incorporating content analysis and regression analysis to understand how firms respond to the demand of value creation by the stakeholders in a voluntary disclosure regime. This study captures sample firms from all the nonfinancial industries of Bangladesh with a unique IR index, which is the first of its kind.