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The existence of long memory and persistent volatility characteristics of cryptocurrencies justifies the investigation of return and volatility/shock spillovers between traditional financial market asset classes and cryptocurrencies. The purpose of this paper is to investigate the dynamic relationship between the cryptocurrencies, namely Bitcoin and Ethereum, and stock market indices of G7 and E7 countries to analyze the return and volatility spillover patterns among these markets by means of multivariate (MGARCH) approach.

Applying the newly developed VAR-GARCH-in mean framework with the BEKK representation, the empirical results reveal that there exists an evidence of mean and volatility spillover effects among Bitcoin and Ethereum as the proxies for the cryptocurrencies, and stock markets reviewed.

Interestingly, the direction of the return and volatility spillover effects is unidirectional in most E7 countries, but bidirectional relationship was found in most G7 countries. This can be explained as the presence of a strong return and volatility interaction among G7 stock markets and crypto market.

Overall, the results of this study are of particular interest for portfolio management since it provides insights for financial market participants to make better portfolio allocation decisions. It is also increasingly important to understand the volatility transmission mechanism across these markets to provide policymakers and regulatory bodies with guidance to eliminate the negative impact of cryptocurrency's volatility on the stability of financial markets.

The present study aims to investigate the effect of environmental reporting on the financial performance of banks in India.

The study is based on the secondary data. The sample includes the banks listed in the NSE Nifty Bank Index from 2016–2017 to 2020–2021. The environmental reporting data was obtained through the content analysis technique. The financial data was collected from the CMIE Prowess database. Panel regression analysis was used to analyse the data.

The findings indicate a negative significant influence of environmental reporting on the ROA and ROE of banks. On the other hand, environmental reporting does not significantly influence the EPS of banking institutions.

To the best of the authors’ knowledge, this study is the first to contribute to the scarce literature on the influence of environmental reporting on financial performance, pertinently in the context of a developing nation's banking sector.

This study aims to evaluate the effectiveness of machine learning models to yield profitability over the market benchmark, notably in periods of systemic instability, such as the ongoing war between Russia and Ukraine.

This study made computational experiments using support vector machine (SVM) classifiers to predict stock price movements for three financial markets and construct profitable trading strategies to subsidize investors’ decision-making.

On average, machine learning models outperformed the market benchmarks during the more volatile period of the Russia–Ukraine war, but not during the period before the conflict. Moreover, the hyperparameter combinations for which the profitability is superior were found to be highly sensitive to small variations during the model training process.

Investors should proceed with caution when applying machine learning models for stock price forecasting and trading recommendations, as their superior performance for volatile periods – in terms of generating abnormal gains over the market – was not observed for a period of relative stability in the economy.

This paper’s approach to search for financial strategies that succeed in outperforming the market provides empirical evidence about the effectiveness of state-of-the-art machine learning techniques before and after the conflict deflagration, which is of potential value for researchers in quantitative finance and market professionals who operate in the financial segment.

Introduction: The effect of environmental regulations or green policies on the financial health of businesses is still up for debate. The Prime Minister of India presented a bold plan to achieve net-zero emissions by 2070 at the COP26 climate summit in Glasgow (UK). Following this announcement, numerous Indian companies voluntarily committed to becoming carbon neutral to support the ambitious emission reduction targets. A growing body of research examines the link between environmental standards compliance and businesses’ sustainability measures, and how they affect their overall performance (profitability, stock returns, or output generation).

Purpose: The research assesses the effect of these voluntary announcements on the stock performance of Indian companies in the context of voluntary commitments to reduce carbon emissions.

Methodology: Concentrating on the announcement impact of carbon neutrality commitments/carbon emissions reductions of 52 Indian companies, the study considers carbon neutrality pledges/carbon emissions reduction from 2018 to 2022. The sample companies list was taken from various indices on the National Stock Exchange. A standard event study methodology is applied to compute abnormal returns during the event window of (−10, 10).

Findings: The results show that companies announcing the carbon neutrality pledges/carbon emissions reduction received significantly negative abnormal returns of 0.49% on announcement day. The cumulative average abnormal returns for different windows are also negative. It signifies that investors don’t value the environmentally sustainable actions of firms. It may also be because of investors’ ignorance of carbon neutrality pledges and their importance, highlighting the need to educate investors about the significance of corporate sustainability initiatives.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.

This study aims to explore how management accounting practices act as drivers of organizational change in situations of institutional complexity.

A case study was carried out in a small company with a strongly rooted social culture, which was acquired by a large conglomerate and underwent a process of strategic change as part of a new control logic. Based on this, the study analyzes the evolution of this change, with a particular focus on the efforts to construct the meaning of the performance through the inscription of objects from the cultural system to which it is attached and the “situated rationality” of the managers who are involved in its production.

The authors show how managers link their own concepts of performance to accounting practices. At the same time, the authors show how accounting practices unfold through representational gaps that their production generates.

This study acknowledges that bias may arise from reliance on retrospective views of past processes and events, gathered primarily through interviews, documentation and observations.

This study highlights that the way in which the performance concept is presented by accounting practices can have a constructive effect on the organization through the aspirations that its representations entail, thus having the potential to stimulate change in organizations.

This study contributes to the organizational literature by clarifying that accounting practices drive change by providing spaces for debates and questions that affect the way organizations understand and report their performance.

This paper is a proposal to provide for the poor – those earning insufficient incomes to satisfy their needs and the unemployed – by enabling them to acquire dividend-paying (and voting) shares in the companies that produce the goods and services consumed in society. It will be accomplished by: (1) establishing a mortgage loan at birth for every newborn child; (2) the loans will be taken out by each of the major producing companies (plus start-ups) in the names of the children as firms do their annual planning; (3) the amount of the loan will be increased annually when the companies plan for succeeding years; (4) a portfolio of new assets – stocks and bonds – in the companies will be purchased with the funds from the mortgage loan; (5) the loan will be repaid over a period of years from the dividends paid by the companies. Once redeemed, the assets, and their future earnings, will belong to the person in whose name the mortgage loan was established. Should the program include all newborns, rich and poor in the name of fairness, when today's cohort reaches maturity, every member of society will be a shareholder in a variety of wealth producing companies that pay regular dividends. The proposal will not require funds from the government and no additional taxes will have to be raised.

The present study aims to investigate the impact of corporate governance proxies by ownership structure and firm-specific characteristics, i.e. firm size, leverage, growth opportunities, previous year dividend, firm risk, profitability, and liquidity on dividend behavior of the Pakistan Stock Exchange (PSX) listed firms.

Final sample of the study consists of 140 PSX-listed firms. The study covers a period of six years, starting from 2015 to 2020. Dividend payout dummy, dividend payout ratio, and dividend yield were used to assess the dividend behavior of the sample firms. The appropriate regression procedures (logistic, probit, ordinary least square (OLS), and fixed effect regression) are used to test the study hypothesis. To check the robustness of the result, a system GMM estimation technique is also used in the present study.

The study reveals that institutional ownership, foreign ownership, and individual ownership have a significant positive whereas managerial ownership has a significant negative impact on the dividend decision of sample firms. Among firm-specific characteristics, it was found that liquidity, profitability, and the previous year's dividend were significantly positive, while growth opportunities were significantly inversely associated with dividend payout decisions of PSX-listed firms.

This study sheds light on the relationship between dividend policy, ownership structure, and firm-specific factors in the context of an emerging market like Pakistan. The study's findings have important implications for managers, minority shareholders, lawmakers, and investors looking for guidance on the dividend policy of publicly-traded non-financial firms.

The literature lacks studies that together analyze the ownership characteristics and firm-specific variables on dividend decisions, particularly in the context of developing economies. The current study aims to fill this gap.

Consumer perception of corporate brand equity has primarily focused on product brand dimensions, neglecting considerations at the firm analysis level. Assessing corporate brands requires different criteria relevant to the competitiveness of companies, such as their prominence, management and meeting society’s demands. In this sense, this study aims to develop and validate a scale of corporate brand equity founded on consumer perceptions, transcending industry boundaries and comparing its relationship with companies' market share.

The authors used an integrative approach to clarify the construct’s domain, building on previous measures. They took several steps to select appropriate items, refine the measure, validate it through reliability tests and convergent and discriminant analyses, test the validity of the second-order formative structure of corporate brand equity and assess associations between first-order factors, the second-order factor and market share.

The model identifies three first-order dimensions of corporate brands (presence, outstanding management and responsible) that shape the second-order factor (corporate brand equity). They are directly related, but not proportionally, to market share, contributing to the general and joint assessment of the company’s competitive performance considering the consumer.

To the best of the authors’ knowledge, this study is the first attempt to develop a comprehensive measurement model of corporate brand equity that considers the firm level of analysis, combines metrics from previous research on corporate brand evaluation criteria and includes consumer perceptions of the company’s competitiveness, unifying branding theory with the theory of the marketing firm.

Systemic risk is of concern for economic welfare as it can lower the credit supply to all the sectors within an economy. This study examines for the first time the complete hierarchy of variables that drive systemic risk during normal and crisis periods in Pakistan, a developing economy.

Secondary data of the bank, sector and country variables are used for the purpose of the analysis spanning from 2000 to 2020. Systemic risk is computed using marginal expected shortfall (MES). One-step and two-step system GMM is performed to estimate the impact of firm, sector and country-level variables on systemic risk.

The findings of the study highlight that sector-level variables are also highly significant in explaining the systemic risk dynamics along with bank and country-level variables. In addition, economic sensitivity influences the significance level of variables across crisis and post-crisis periods and modifies the direction of relationships in some instances.

The study examines the systemic risk of a developing economy, and findings may not be generalizable to developed economies.

The outcome of the study provides a comprehensive framework for the central bank and other regulatory authorities that can be translated into timely policies to avoid systemic financial crisis.

The negative externalities generated by systemic risk also affect the general public. The study results can be used to avoid the systemic financial crisis and resultantly save the loss of the general public's hard-earned holdings.

The firm, sector and country-level variables are modeled for the first time to estimate systemic risk across different economic conditions in a developing economy, Pakistan. The study can also act as a reference for researchers in developed economies as well regarding the role of sector-level variables in explaining systemic risk.