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The COVID-19 pandemic has recently had an impact on the stock market all over the globe. A thorough review of the literature that included the most cited articles and articles from well-known databases revealed that earlier research in the field had not specifically addressed how the BRIC stock markets responded to the COVID-19 pandemic. The data regarding COVID-19 were collected from the World Health Organization (WHO) website, and the stock market data were collected from Yahoo Finance and the respective country’s stock exchange. A random forest regression algorithm takes the closing price of respective stock indices as target variables and COVID-19 variables as input variables. Using this algorithm, a model is fit to the data and is visualised using line plots. This study’s findings highlight a relationship between the COVID-19 variables and stock market indices. In addition, the stock market of BRIC countries showed a high correlation, especially with the Shanghai Composite Stock Index with a correlation value of 0.7 and above. Brazil took the worst hit in the studied duration by declining approximately 45.99%, followed by India by 37.76%. Finally, the data set’s model fit, which employed the random forest machine learning method, produced R² values of 0.972, 0.005, 0.997, and 0.983 and mean percentage errors of 1.4, 0.8, 0.9, and 0.8 for Brazil, Russia, India, and China (BRIC), respectively. Even now, two years after the coronavirus pandemic started, the Brazilian stock index has not yet returned to its pre-pandemic level.

Research has shown that young adults face strong economic burdens when it comes to establishing their intimate relationships in times of labor market deregulation and economic recession. However, little is known about possible protective effects of the transition to cohabitation on subjective worries. Based on economic and gender-specific assumptions, the present paper uses data from the German Socio-economic Panel (GSOEP) from 1991 to 2020. Longitudinal analyses show that the transition into cohabitation reduces the economic worries of German women, especially in times of macroeconomic crisis. For men, cohabitation is only protective against economic worries if they or their partner have high economic resources. The latter may indicate that young men in precarious living situations perceive the male breadwinner model as a subjective burden in the context of cohabitation.

The construction sector (CNS) occupies a very unique position in any economy depending on whether developed or developing economy. The size and linkages of the CNS are expected to be high to help push or pull the economy from developing to developed economy through elaborate forward and backward linkages, a cardinal aim of developing economies. This paper aims to investigate the forward and backward linkages of the CNS in the Nigerian economy.

In contrast to the traditional input–output analysis to assess sectoral economic performance and production interdependence, this paper used econometric techniques, including unit root test, cointegration test and Granger causality test to analyze the data. Time-series data (TSD) for the study were extracted from United Nations Statistical Department database.

The result indicated that the CNS has low forward linkages but high backward linkages to virtually all the sectors of the Nigerian economy. Thus, the outputs of construction mainly satisfy the manufacturing and other activities.

The paper gives an insight into the construction on backward linkages but less extensive forward linkages. The paper recommends a massive local content development of sector to deepen backward and forward linkages and thus helps pull or push weak sectors out of stagnation.

This article explores the cultural politics of civic pride through Hull's year as UK City of Culture (UKCoC) in 2017. It unpicks some of the socio-political meanings and values of civic pride in Hull and critiques the ways in which pride, as an indicator of identity and belonging, was mobilised by UKCoC organisers, funders and city leaders. It argues for more nuanced and critical approaches to the consideration and evaluation of pride through cultural mega events (CMEs) that can take account of pride's multiple forms, meanings and temporalities.

A multidimensional, mixed methods approach is taken, incorporating the critical analysis of Hull2017 promotional materials and events and original interviews with a range of stakeholders.

The desire for socio-economic change and renewed identity has dominated Hull's post-industrial sense of self and is often expressed through the language of pride. This article argues that UKCoC organisers, cognisant of this, crafted and tightly controlled a singular pride narrative to create the feeling of change and legitimise the entrepreneurial re-branding of the city. At the same time, UKCoC organisers overlooked the opportunity to engage with and potentially reactivate the political culture of Hull, which like other “left behind” or “structurally disadvantaged” places, is becoming increasingly anti-political.

Through the case study of a relatively unresearched and under-represented city, this paper contributes to cultural policy literatures concerned with critically assessing the benefits and shortcomings of Cultural Mega Events and to a more specific field concerning Cities of Culture and the political cultures of their host cities. This paper also contributes to an emerging literature on the centrality of pride through the UK's post-Brexit Levelling Up agenda, suggesting that pride in place is becoming figured as a “universal theme” of the neoliberal city script.

The purpose of this study is to analyze the fluctuations in gold prices within the Saudi Arabian market and to develop a reliable forecasting model to aid market participants and policymakers in making informed decisions.

In this study, we employ a rigorous time series analysis methodology, including the ARIMA (Auto Regressive Integrated Moving Average) model, to analyze historical gold price data in the Saudi Arabian market. The approach involves identifying optimal model parameters and assessing forecast accuracy to provide actionable insights for market participants.

The study showcases that the autoregressive properties of past gold prices play a pivotal role in capturing the inherent serial correlation within the market, enabling the ARIMA model to effectively forecast future gold price movements with accuracy.

Our study primarily focuses on quantitative analysis, whereas few qualitative parameters are not included. Future studies may benefit from incorporating qualitative factors and expert opinions to enhance the robustness of gold price predictions and capture the full spectrum of market dynamics.

Participants and policymakers may find this study helpful in navigating the complicated Saudi Arabian gold market. By understanding financial stability and investment decisions more thoroughly, individuals and institutions may be able to manage their portfolios more effectively.

By combining historical insights with advanced ARIMA modeling techniques, this research provides valuable insight into gold price dynamics in the Saudi Arabian market.

This study aims to provide insights into different aspects of the extant literature on the effects of dividend announcements. Along with other outputs of a bibliometric study, this study provides deeper insights into the concentration of the extant literature and suggest future research agendas.

This study uses the bibliometric, network and content analysis of the dividend announcement literature indexed in Scopus. This study presents the temporal analysis, the network of authors, countries, author citations and the co-occurrence of author keywords. This study provides the concentration of the extant literature in three clusters and unearth some key future research areas. This study uses the latent Dirichlet allocation method for robustness.

A total of 54 documents examining the US sample have received 1,804 citations. Interestingly, the first article on emerging markets was published in 2002, when at least 34 articles on developed markets had already been published from 1982 to 2001. The content analysis of top-cited literature unveils diverse insights into dividend announcements’ effects on financial markets. Contagion effects negatively impact non-announcing banks, particularly larger ones. Dividend maintenance affects stock market momentum, influencing loser returns. While current dividend/earnings news may not predict future company performance, information content dominates bond market reactions to post-dividend announcements. Concomitantly, while financially constrained firms exhibit short-term gains but worse long-term performance following dividend increases, larger stock dividends send stronger market signals in China.

This study significantly contributes to the bibliometric and content analysis literature by analyzing the sample documents based on the sample examined. To the best of the authors’ knowledge, no previous bibliometric study in this domain has been conducted to explore the markets (developed and emerging) to which the samples examined belong and the quality of publications from developed and emerging markets.

This paper aims to explore the effect of female’s presence in corporate governance structures to reduce agency conflicts, using a quantile regression approach.

The research investigates the relationship between company performance and boardroom gender diversity using quantile regression methods. The study uses annual data of 111 companies listed on the Johannesburg Stock Exchange from 2010 to 2020.

The study reveals that women on the board impact firm return on assets and enterprise value, varying across performance distribution. This contrasts fixed effect findings but aligns with two-stage least squares. However, quantile regression indicates that female executives and independent non-executive directors have notably negative impacts in high and low-performing companies, highlighting non-uniformity in the board gender diversity effect compared with previous assumptions.

The empirical findings suggest that companies with no women directors on the board are generally more likely to experience a decrease in performance and enterprise value relative to companies with women directors on the board. As recommended through the King Code of Corporate Governance, it is thus valuable to companies to ensure gender diversity on the board of directors.

The research confirms through rigorous statistical analyses that corporate governance policies, principles and guidelines should include gender diversity as a requirement for a board of directors.

Today’s financial reporting inherits its origin in money, numbers and accounting dated back 7,000 years in Mesopotamia. The Italian Luca Pacioli, “first person to publish a work on double-entry bookkeeping”¹ is regarded as the father of accounting and bookkeeping. In USA, SEC issued its first Accounting Series Release which appeared to be Commission’s views on auditing and accounting, later, in 1982 has become known as Financial Reporting Releases. Today more than 100 countries permit publicly held companies to use International Financial Reporting Standards. This meteoric rise for use of financial reporting was due to a worldwide demand from regulators, lenders, trade partners, businesses, investors and policy makers. “The Companies Act of 1994 mandates requirement for financial reporting by all companies in Bangladesh.”² Banks’ reporting formats and disclosures in Bangladesh based on BAS 30 is similar to the requirements of the Companies Act of 1994. The research depicts how the two banking institutions of Bangladesh – Islami Bank Bangladesh Limited (IBBL) and Grameen Bank having two philosophical objectives – uniquely present their results of operation under a uniform financial reporting system and how they differ in their financial operations.

This study aims to evaluate the relationship of corporate social responsibility (CSR) reporting with the financial performance of firms using various market and accounting-based parameters in a developing economy, India.

The study uses content analysis to develop a CSR reporting index for the Indian firms listed on the Bombay Stock Exchange. The two-step system generalized methods of moments has been used for the estimation of the panel data.

The results from the study suggest that the CSR reporting-based activities of the firms may impact the financial performance of the firms, but at the same time, the need of the hour is to create awareness among the investors and market players so that they realize the relevance of CSR reporting, which can further improve other dimensions of financial performance as well.

The study relies on Tobin’s Q and return on assets while measuring financial performance, though there are various other parameters that can be used to gauge the performance. The outcomes of this study have practical implications for the practitioners as well as policymakers, incentivizing them to integrate CSR aspects into their decision-making frameworks.

To the best of the authors’ knowledge, this is the first Indian study to develop a unique index for CSR reporting and linking it with financial performance. This study shall assist the researchers in broadening the scope of CSR studies in India and can be used to draw a systematic comparison with developed nations.

This study explores the direct relationship between social media user-generated content (UGC), online search traffic and offline light vehicle sales of different models.

The long-run equilibrium relationship and short-run dynamic effects between the valence and volume of UGC, online search traffic and offline car sales are analyzed by applying the autoregressive distribution lag (ARDL) model.

The study found the following. (1) In the long-run relationship, the valence of online reviews on social media platforms is significantly negatively correlated with the sales of all models. However, in the short-run, the valence of online reviews has a significant positive correlation with all models in different lag periods. (2) The volume of online reviews is significantly positively correlated with the sales of all models in the long run. However, in the short run, the relationship between the volume of online reviews and the sales of lower-sales-volume cars is uncertain. There is a significant positive correlation between the volume of reviews and the sales of higher-sales-volume cars. (3) Online search traffic has a significantly negative correlation with the sales of all models in the long run. However, in the short run, there is no consistent conclusion on the relationship between online search traffic and car sales.

This study provides a reference for managers to use in their efforts to improve offline high-involvement product sales using online information.