Purpose
This study aims to investigate the relationship between remuneration packages chief executive officer (CEO) and director and independent corporate social responsibility (CSR) practices ...(marketplace, environment, community, workplace and money spent on CSR) of 588 Malaysian listed firms during 2006–2017. Further, the study explored the moderating effect of board gender diversity on the remuneration-CSR nexus.
Design/methodology/approach
The dynamic estimator; namely, the system generalized method of moments given by Arellano and Bover (1995) has been used on the data set to control dynamic endogeneity, unobserved heterogeneity and simultaneity problems.
Findings
Findings indicate a weak relationship between remuneration and CSR where prior CEO remuneration negatively influences marketplace activities, environment-related activities and workplace practices. However, directors’ remuneration leaves no effect on socially responsible activities. Moreover, board gender diversity negatively moderates the CEO remuneration-CSR relationship and an insignificant moderating effect has been observed for directors’ remuneration-CSR nexus.
Practical implications
This study is particularly significant for regulatory bodies of Malaysia e.g. Securities Commission Malaysia, Bursa Malaysia, policymakers, investors and managers. For academia, this study fetches support from agency theory and overinvestment hypothesis to explain the relationships.
Originality/value
This paper is novel in providing empirical evidence on the moderating effect of board gender diversity on the relationship between remuneration and independent CSR activities for the first time. Moreover, this study has sourced several theoretical and practical implications. Then, the study uses a dynamic estimator that caters to the problems of endogeneity, simultaneity and heterogeneity.
PurposeThe prime objective of this study is to investigate the moderating influence of executive and independent female directors on the relationship between remuneration packages (CEO and executive ...director) and socially responsible practices (marketplace, environment, community, workplace and money spent on CSR) of 483 Malaysian listed firms during 2006–2017.Design/methodology/approachThe dynamic estimator, namely, system generalized method of moments (GMM) given by Blundell and Bond (1998) has been employed on the dataset to control dynamic endogeneity, unobserved heterogeneity and simultaneity problems.FindingsFindings indicate that there is a significant relationship between remuneration patterns of CEOs and executive directors and socially responsible activities. In the same way, executive board gender diversity significantly, whereas independent board gender diversity insignificantly moderates the remuneration and CSR nexus.Practical implicationsThis study is particularly significant for regulatory bodies of Malaysia, e.g. Securities Commission Malaysia, Bursa Malaysia, policy makers, investors and managers. For academia, this study fetches support from agency theory, stakeholder theory and upper echelons theory and presents integrated theoretical approach to be considered for future research.Originality/valueThis paper is unique in providing empirical evidence on the moderating effect of both executive and independent women directors on the relationship between remuneration patterns of CEOs and executive directors and independent CSR activities for the first time. Moreover, this study has sourced several theoretical and practical implications. And, the study employs dynamic estimator for precise and concrete results.
Purpose> This study aims to examine the connectedness among green, Islamic and conventional financial markets from December 2008 to May 2021. Moreover, the impact of global factors on the ...connectedness of given financial markets is also observed. Design/methodology/approach> This study first employed the time-varying parameter vector autoregressions (TVP-VAR) technique to explore the connectedness of markets. Second, This study utilized the wavelet coherence analysis to test the time-frequency impact of global factors in terms of implied volatilities of stock, oil, gold, currency and bond on the connectedness across financial markets. Findings> This study finds Islamic stocks, sustainability index and S&P500 composite index are the net transmitters, whereas Sukuk, commodity index, bond market, clean energy and green bonds are the net recipient of spillovers. Time-varying features of green, Islamic and conventional financial markets are evident in system-wide connectedness. This study further evidenced that global factors drive the connectedness of financial markets, particularly during stressful times. Practical implications> The findings of this study furnish significant implications for policymakers, regulatory authorities, investors, financial market participants and portfolio managers in terms of carefully assessing the unique characteristics offered by each financial market in terms of risk mitigation and diversifying the portfolios. Originality/value> Using a portfolio of green, Islamic and conventional financial markets, the uniqueness of this study lies in the examination of the connectedness of these markets by deploying the TVP-VAR technique. In addition, wavelet analysis offers a significant contribution in terms of global factors driving the connectedness of green, Islamic and conventional markets.
•We examined the extreme risk transmission of blockchain markets.•Risk spillovers among blockchain markets with strong disconnection of NFTs.•NFTs offer greater diversification avenues with ...substantial risk-bearing potential among blockchain markets.
The high volatility of the blockchain markets has driven the attention of investors and market participants to concentrate on the diversification avenues of NFTs, DeFi Tokens, and Cryptocurrencies. We examined the extreme risk transmission of blockchain markets using the quantile connectedness technique at the median, extreme low, and extreme high volatility conditions. We find significant risk spillovers among blockchain markets with strong disconnection of NFTs. Meanwhile, time-varying features characterized various uneven economic circumstances. Overall, NFTs offer greater diversification avenues with substantial risk-bearing potential among other blockchain markets to shelter the investments and minimize extreme risks.
This paper studies the tail dependence among carbon prices, green and non-green cryptocurrencies. Using daily closing prices of carbon, green and non-green cryptocurrencies from 2017 to 2021 and a ...quantile connectedness framework, we find evidence of asymmetric tail dependence among these markets, with stronger dependence during highly volatile periods. Moreover, carbon prices are largely disconnected from cryptocurrencies during periods of low volatilities, while Bitcoin and Ethereum exhibit time-varying spillovers to other markets. Our results also show that green cryptocurrencies are weakly connected to Bitcoin and Ethereum, and their net connectedness are close to 0, except during the COVID-19 pandemic. Finally, we find a significant influence of macroeconomic and financial factors on the tail dependence among carbon, green and non-green cryptocurrency markets. Our results highlight the time-varying diversification benefits across carbon, green and non-green cryptocurrencies and have important implications for investors and policymakers.
•Extreme tail dependence among carbon prices, green and non-green cryptocurrencies.•We find stronger dependence during high volatile periods compared to low volatile periods.•Carbon prices are largely disconnected from cryptocurrencies during low volatility periods.•Green cryptocurrencies are weakly connected to Bitcoin and Ethereum.•We find a significant influence of macroeconomic and financial factors on the tail dependence.
We adopted a network approach to examine the dependence between green bonds and financial markets. We first created a static dependency network for a given set of variables using partial ...correlations. Secondly, to evaluate the centrality of the variables, we illustrated with-in system connections in a minimum spanning tree (MST). Afterward, rolling-window estimations are applied in both dependency and centrality networks for indicating time variations. Using the data spanning January 3, 2011 to October 30, 2020, we found that green bonds and commodity index had positive dependence on other financial markets and are system-wide net contributors before and after COVID-19. Time-varying dynamics illustrated heightened system integration, particularly during the crisis periods. The centrality networks reiterated the leading role of green bonds and commodity index pre- and post-COVID. Finally, rolling window analysis ascertained system dependence, centrality, and dynamic networks between green bonds and financial markets where green bond sustained their positive dependence all over the sample period. Green bonds’ persistent dependence and centrality enticed several implications for policymakers, regulators, investors, and financial market participants.
•The dependence between green bonds and financial markets was examined.•Green bonds and commodity indices had positive dependence with financial markets.•Time-varying dynamics illustrated heightened system integration during the crisis.•Centrality networks reiterated the role of green bonds and commodity indices.•Green bonds sustained their positive dependence throughout of the study period.
We analyze return and volatility connectedness of the rising green asset and the well-established US industry stock and commodity markets from September 2010 to July 2021. We find that the ...time-varying return and volatility connectedness have exhibited serious crisis jumps. Some individual assets of both the green and commodity markets are in connection to the US sectoral stock market returns, and the volatility connections are even more common than the return connections. Furthermore, some financial and economic uncertainty indicators manifest positive impacts from the volatility of some ‘big pond’ markets for e.g. commodities, whereas some others affect the connectedness negatively. Additional analysis of financial and economic uncertainty indicators manifests positive impacts from the volatility of some ‘big pond’ markets, e.g., commodities, while others negatively affect the connectedness.
•There are some return and volatility connections between green stock markets, US sectors and commodities.•Strong intragroup connectedness especially in sectoral US stock markets•Weak intergroup connectedness among the three markets implies good hedging possibilities.•Some individual commodity markets affect the green finance stocks but not the US sectors generally.•Some general uncertainty measures affect both the return and volatility connectedness between green and conventional markets.
This article serves two purposes. First, it attempts to examine the joint impact of corporate governance mechanisms and corporate social responsibility (CSR) practice on firm performance. Second, the ...moderating role of board independence is investigated on 588 non-financial Malaysian firms listed on Bursa Malaysia during the period 2006–2017. Both accounting-based return on assets (ROA) and market-based (Tobin’s Q) performance measures have been used for measuring performance. Dynamic model using Generalized Method of Moments (GMM) has been employed on the data set to control for potential endogeneity, reverse causality and dynamic heterogeneity. Findings indicate that ROA is a better determinant of firm performance than Tobin’s Q, where ownership concentration, managerial ownership and money spent on CSR negatively affect ROA; however, an insignificant relationship is observed with Tobin’s Q. Finally, board independence negatively moderates governance-CSR and firm performance relationship. Findings of this article have implications for Bursa Malaysia and Securities Commission Malaysia to reset the limit of independent directors on board so that their unnecessary interference in operations of management may be avoided. Furthermore, companies need to reassess their CSR strategies whether they are spending on CSR activities or hiding their financial malfeasance in the name of money spent on CSR.
PurposeThis study quantified the hedge and safe haven features of bond markets for multiple cryptocurrency indices from June 2014 to April 2021 to highlight whether bond markets offer hedging ...facilities to uncertainty indices of cryptocurrencies.Design/methodology/approachThe authors employed the methodology of Baur and McDermott (2010) and AGDCC-GARCH model to measure the hedge and safe-haven characteristics of three bond markets (BBGT, SPGB and SKUK) for three uncertainty indexes of cryptocurrencies (UCRPR, UCRPO and ICEA).FindingsThe authors find that bond markets are neither hedge nor safe havens except for SKUK which is a safe haven investment for cryptocurrency indices and offers substantial diversification during the periods of economic fragility. In addition, the hedge effectiveness of SPGB outperforms other bonds during crisis periods and provides sufficient diversification potential for cryptocurrency indices.Practical implicationsThe findings are important for policymakers, regulatory bodies, financial firms and investors in assessing hedge and safe haven characteristics of bond markets against cryptocurrency indices.Originality/valueEmploying the novel methodology of AGDCC-GARCH with three different bond markets and three uncertainty indices of cryptocurrencies, the current study adds to the existing strand of literature in terms of quantifying hedge and safe-haven attributes of bond markets for cryptocurrency uncertainty indexes.
The current controversies raised due to cryptocurrency mining and their hazardous impact on the environment have spurred the need of the current study to investigate whether green markets offset the ...risk of cryptocurrencies and carbon markets. We took five categories of financial markets, for instance, bonds, stocks, commodities, cryptocurrencies, and carbon markets to measure their tail risk at 5% value-at-risk (VaR). Moreover, we employed the novel technique of conditional autoregressive value-at-risk (CAViaR) along with time-varying parameters vector autoregressions (TVP-VAR) to indicate asymmetries among these financial markets. We found strong intra-class connectedness clusters with little interconnectedness among the markets. Subsequently, the time-varying trends highlighted extreme risk spillovers during the crisis times. Our findings offer valid justifications for policymakers, stakeholders, regulators, investors, and financial market participants.
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