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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.

India’s manufacturing sector employs about 12% of the labour force and contributes to about 17% of the nation’s GDP. The Indian government intends to implement several initiatives under the “Make in India” and Atma Nirbhar Bharat banners to increase the manufacturing sector’s share of the nation’s GDP to 25% by 2025. Applying lean manufacturing, green manufacturing and Six Sigma is crucial to ensure that India’s manufacturing sectors grow sustainably in international markets. This study aims to identify sustainability indicators and ascertain their respective weights to evaluate the sustainability performance of the Indian manufacturing industry.

This research identifies 25 sustainability indicators and classifies them into the triple bottom line of sustainability based on an evaluative literature review and expert opinion. The Best Worst Method was utilised to determine the weights of the sustainability indicators. The sustainability index was developed to evaluate economic, social and environmental sustainability.

The sustainability performance of a foundry in a significant Western Indian State city was assessed by applying the developed sustainability index. After the adoption of integrated lean, green and Six Sigma (LG&SS) strategies and related practices in the foundry, there has been a notable improvement of 68.03% in the economic index, 61.62% in the social index and 13.24% in the environmental index.

The proposed sustainability index is applied and evaluated specifically for assessing the sustainability performance of Indian manufacturing SMEs. It can be used to substantiate firm’s sustainability performance and also to assess the improvement in firm’s performance in economic, environmental and social dimensions after implementing various operational excellence practices. However, it cannot serve as a benchmark tool across similar companies or organisations.

The developed sustainable index can be used to analyse the company or organisation’s sustainability performance and see how various strategies have improved things. Practitioners can use this index to assess social, economic and environmental performance and focus on areas that need improvement.

The proposed sustainability index serves as a vital tool for monitoring a firm’s progress in triple bottom line (TBL) dimensions of sustainability, tracking a diverse range of indicators and encouraging sustainable organisational practices.

This study attempts to assess the economic, social and environmental performance of Indian Manufacturing SMEs by proposing a sustainability index.

This paper aims to optimize the air pressure regulation scheme of the aeroengine pressure test bench.

Based on the requirements of pressure regulation process and the operating mechanism of aeroengine pressure test bench, a grey performance evaluation index system is constructed. The combination of principal component analysis and grey theory is employed to assign weights to grey indexes. The grey target evaluation model is introduced to evaluate the performance of historical regulation processes, and the evaluation results are analyzed to derive optimization mechanism for pressure regulating schemes.

A case study based on monitoring data from nearly 300 regulation processes verifies the feasibility of the proposed method. On the one hand, the improved principal component analysis method can achieve rational weighting for grey indexes. On the other hand, the method comparison intuitively shows that the proposed method performs better.

The pressure test bench is a fundamental technical equipment in the aviation industry, serving the development and testing of aircraft engines. Due to the complex system composition, the pressure and flow adjustment of the test bench heavily rely on manual experience, leading to issues such as slow adjustment speed and insufficient accuracy. This paper proposes a performance evaluation method for the regulation process of pressure test bench, which can draw knowledge from historical regulation processes, provide guidance for the pressure regulation of test benches, and ultimately achieve the goal of reducing equipment operating costs.

Studies in corporate social responsibility (CSR) disclosure were initially focused more on disclosure “Quantity” than “Quality” and while they have started to explore “Disclosure Quality”, their assessment mechanisms are found to be immature. Thus, while a number of papers have sought to assess the quality of CSR disclosure, this paper aims to suggest an approach tied closely to both expectations in assessing “quality” derived from the Conceptual Framework for Financial Reporting (revised 2018) and the global reporting initiative. The outcome is to offer a best practice approach to assessing CSR disclosure quality.

In this paper, prior literature is reviewed, qualitative characteristics from the Conceptual Framework for Financial Reporting (revised 2018) and globally recognised guidelines such as the GRI are reviewed. The framework for a “CSR disclosure quality index” as an assessment tool to assess CSR disclosure quality is developed from qualitative characteristics and criteria identified.

The proposed CSR disclosure quality index is developed in stages from the qualitative characteristics identified in the Conceptual Framework for Financial Reporting (revised 2018) and criteria identified from the guidelines discussed. A table was then developed linking the qualitative characteristics to criteria providing a Likert scale approach to assessing the disclosures made by companies to make an assessment of the quality of the companies’ reports. It is argued this provides a robust assessment, being a direct and comprehensive measure of disclosure quality.

As with most qualitative work, there are alternative approaches to establishing an index, but the authors believe this is an approach offering links (and, therefore, credibility) to globally recognised guidelines in the assessment of CSR disclosure quality. Future work could enhance the alignment of this index with the sustainable development goals (SDGs), building on the preliminary connections established in this study.

At a practical level this index offers an approach to reviewing the quality of CSR disclosures which could prove useful to policymakers and in the future development and expansion of this framework offering greater objectivity to assessments and justification for proposed improvement in reporting practice. Also, this index serves as a benchmarking tool for companies to meet the disclosure expectations of stakeholders.

This approach has the potential to substantially fulfil stakeholder expectations by addressing the growing demand for transparency in this area, while avoiding practices that could be perceived as superficial or misleading (greenwashing). Focusing on social issues enables stronger connections between companies and their stakeholders. Furthermore, the index helps companies link their CSR efforts with SDGs and show their commitment to long-term social value building in discussion of governance factors to show accountability expectations are being met.

This paper contributes to CSR disclosure quality literature and provides a reliable method of assessing the quality of CSR disclosures. Opportunities for further and broader developments can be envisaged while offering a credible and reliable approach.

The purpose of this paper is to scrutinize the safe haven benefits of 13 individual commodities for the USA and Chinese equity sectors during the financial turmoil period. Therefore, sectoral investors in the USA and China could invest in those specific commodities that provide stable returns during the health crisis and financial turmoil periods.

The daily data spans from February 1, 2015, to July 28, 2022. The present study applies several different approaches to analyzing the data set. The author apply the cross-quantilogram (C.Q) methodology to capture the lead-lag bivariate quantile interdependence between two stationary time series variables during the bearish, bullish and normal periods. Then the study used the hedging effectiveness (HE) and conditional diversification benefits (CDB) approaches to capture the hedging and diversification benefits of commodity classes and individual commodities.

The noteworthy findings of the quantilogram methodology reveal that livestock and agriculture commodities serve as better refuges as compared to the precious metals and energy index in both countries. On average, precious metals failed to serve as safe haven investments for the USA and Chinese equity market sectors. All energy commodities except soybean oil had strong comovements with China and the US equity sectors during bearish, bullish and normal periods. Lean hogs, fiddler cattle and live cattle are perfect hedging assets for both countries due to the presence of blue color at normal and bullish periods in all C.Q heat-maps. The HE table depicts that commodity indices and individual commodities failed to serve as hedging assets for the Chinese equity sectors. But commodities are semistrong hedging assets for the US equity sectors and the S&P 500 due to the average HE values being 0.7 and above. The CDB values depict that precious metals provide diversification benefits in both equity markets.

The present study results have important implications for equity sector investors of the USA and China in suggesting particular commodity during the financial turmoil period. During the bearish market condition, risk averse equity sector investors can invest in livestock commodities and agriculture commodities, due to their relatively stable returns. In addition, policymakers can use the analysis insights to formulate policy tools and monitoring mechanisms, effectively mitigating the unfavorable effects arising from asymmetric dependence between commodities and equity sectors during the upper tail, middle and lower tail. Policymakers can suggest equity investors to invest in which commodity during extreme conditions.

The current study has the following points of originality. First, to the best of the author’s knowledge, this is the first study to investigate the individual commodities’ roles as safe havens taken from all four major commodity classes. More importantly, it is also noticeable that the safe haven abilities of commodities are usually tested for the stock market, but the equity sectors are ignored. Therefore, the present study used both stock market and sectoral indices data.

The purpose of this study is to construct a robust index and subindices to measure the quality of corporate governance for 266 firms listed in South Africa from 2004 to 2021.

Public information on the compliance of King Code of Good Corporate Governance is used to construct a main index predicated on provisions relating to board characteristics, accounting and auditing and risk management. These categories are transformed into three subindices. All constructs are scored with binary coding and equally weighted.

Cronbach’s alpha test reveals that the index and subindices are highly reliable measures of corporate governance. The principal component analysis supports the construct validity of all measures.

The index is limited to only three corporate governance subcategories and only focuses on South Africa.

These corporate governance indices provide governing authorities, policymakers, investors and other market participants direct information on the quality of corporate governance in South African firms.

As South Africa lacks a formal corporate governance indicator, the development of an appropriate corporate governance index and subindices contributes towards understanding the quality of corporate governance in South African firms. To the best of the authors’ knowledge, this is the first paper to conduct robustness tests on corporate governance indices designed for South African companies.

This study investigates the mispricing dynamics of NIFTY 50 Index futures, drawing upon daily data spanning from January 2008 to July 2023.

The study employs both a single regime analysis and a tri-regime model to understand the fluctuations in NIFTY 50 Index futures mispricing.

The study reveals a complex interplay between various market factors and mispricing, including forward-looking volatility (measured by the NIFVIX index), changes in open interest, underlying index return, futures volume, index volume and time to maturity. Additionally, the relationships are regime-dependent, specifically identifying the regime-dependent nature of the relationship between forward-looking volatility and mispricing, the impact of futures volume on mispricing, the effect of open interest on mispricing, the varying influence of index volume and the influence of time to maturity across the three distinct regimes.

These findings offer valuable insights for policymakers and investors by providing a detailed understanding of futures market efficiency and potential arbitrage opportunities. The study emphasizes the importance of understanding market dynamics, transaction costs and timing, offering guidance to enhance market efficiency and capitalize on trading opportunities in the evolving Indian derivatives market.

The Vector Autoregression (VAR) and Threshold Vector Autoregression Regression (TVAR) models are deployed to disentangle the interrelationships between NIFTY 50 Index futures mispricing and related endogenous determinants.

This study investigates the Nifty 50 Index futures mispricing across three distinct market regimes.

We highlight how factors like volatility, futures volume, and open interest vary in their impact.

The study employs vector auto-regressive and threshold vector auto-regressive models to explore the complex relationships influencing mispricing.

We provide valuable insights for investors and policymakers on improving market efficiency and identifying potential arbitrage opportunities.

This study aims to determine the association between the companies’ financial indicators and the Dow Jones Sustainability MILA Pacific Alliance Index (DJSMPAUP Index).

The study adopted a quantitative, explanatory level approach, based on measuring the interactions between the financial performance ratios of these companies (return on assets, return on equity, EBITDA margin and net margin) and sustainability index of MILA member countries. The study used a non-experimental, retrospective, cross-sectional design, using observed data from the annual period spanning 2017 to 2022 for MILA companies and includes analyses before and after COVID-19.

The estimates show a positive and statistically significant relationship between each company’s financial indicator and the DJSMPAUP index for the period 2017 to 2022.

The primary limitation of the study was the availability of data, which restricted the use of more advanced statistical analyses, and the inclusion of many factors that can be associated with DJSMPAUP. This constraint arose since the index was introduced only from the 2017 annual period, resulting in a limited dataset.

The study sheds light on MILA’s companies and their characteristics and specific conditions, which can help to improve sustainability strategies with an impact on financial performance, primarily due to the significance of MILA in the world economy and the GDP of Latin America. It focuses on an emerging market with a few years of applying sustainability policies.

This study contributes to revealing the progress in sustainability for member companies in MILA.

The study connects the financial performance and the sustainability of organizations oriented to the emerging significance of MILA in the world economy.

Internet search is a $120bn business that answers lists of search terms or keywords with relevant links to Internet webpages. Only a few companies have sufficient scale to compete and thus economics of the process are paramount. This study aims to develop a detailed industry-specific modeling of the economics of internet search.

The current research develops a stochastic model of the process of Internet indexing, search and retrieval in order to predict expected costs and revenues of particular configurations and usages.

The models define behavior and economics of parameters that are not directly observable, where it is difficult to empirically determine the distributions and economics.

The model may be used to guide the economics of large search engine operations, including the advertising platforms that depend on them and largely fund them.

After considering the price reversal among countries' indices as a global, coordinated and generalized phenomenon, this paper aims to examine the profitability of the reversal strategy internationally and find an economically essential and predictive reversal effect. Indices' portfolios form based on the prior 48 months; prior losers outperform prior winners by 8.86% per year during the subsequent 48 months. Interestingly, the reversal effect is substantially stronger for emerging countries, yielding 14.04% annually. It remains profitable post-globalization, countering the concern of whether the integration of equity markets synchronized the price reversal worldwide. Returns' differences consistent with portfolio formation approaches are also observed.

This study follows the methodology De Bondt and Thaler (1985) set out and uses the same methodological framework Wouassom et al. (2022) put forward. Nevertheless, this study does not focus on stocks. Still, it employs global equity indices from the viewpoint of an international investor who can switch between worldwide equity indices using a contrarian trading strategy.

My findings indicate that reversal strategies with overlapping portfolios are profitable over the entire sample period and every formation and holding period. These returns are highly statistically significant and vary considerably from one horizon to another. More importantly, the reversal strategies remain, on average, profitable and significant in the period post-1994 but are not particularly distinctive, which implies that the reversal effect survives the globalization impact and indicates that the integration of equity markets together with the international correlation among markets do not synchronize the prices reversal effect around the world given that.

Further work would be recommended to study a more extended period dating back to the nineteenth century or the Victorian Era, characterised by rapid economic development in almost every domain, to verify if reversal is historically compensation for carrying risks exclusively during contraction.

My analysis takes on particular significance given the association between lagged market movement in share prices and investors’ optimism that appears among traders, generating an increasing reversal effect (Siganos and Chelley-Steley, 2006) and has direct implications for predicting and controlling trading costs associated with asset allocation strategies.

The difficulty with using the reversal strategy to uncover the long-term return reversal effects in the equity markets today resides in the fact that the globalization of the economy has fuelled the concentration of assets within institutional investors. The critical insight is that the concentration of equity in the hands of institutional investors activated international equity trading. These institutional investors seek to maximize their shareholder value from the opportunity by simultaneously dealing in many markets while constructing and holding portfolios that include assets from various countries using highly profitable investment strategies such as reversal.

To the best of the authors’ knowledge, this is the first paper to show an easily implemented contrarian strategy that switches back and forth between country indices and generates extraordinarily high abnormal returns of more than 8.86% per annum. We also show that these returns compensate for global risks and for investors ready to take them during contraction.