Fintech and environmental efficiency: The dual role of foreign direct investment in G20 nations.

This study investigates the relationship between financial technology (fintech) and environmental efficiency across G20 countries, emphasizing the moderating effect of foreign direct investment (FDI) from 2010 to 2022. Employing Data Envelopment Analysis (DEA) through both Slack-Based Measure (SBM) and Epsilon-Based Measure (EBM), alongside Tobit regression and the Generalized Method of Moments (GMM) for analytical rigor, the research reveals that fintech exerts a positive influence on environmental efficiency within these countries. Furthermore, it demonstrates that FDI contributes to enhancing environmental efficiency. However, when FDI is combined with fintech investments, it yields a negative impact. This detrimental effect stems from FDI's emphasis on short-term gains, rapid expansion, and a globally oriented supply chain that favors cost efficiency at the expense of sustainability. The study highlights the necessity for investments in fintech that comply with environmental standards and offers policy recommendations to improve environmental efficiency. It urges policymakers to promote environmentally sustainable investment practices within the fintech sector to aid in achieving sustainable development goals.

Systemic risk contagion of green and Islamic markets with conventional markets.

Financial markets are exposed to extreme uncertain circumstances escalating their tail risk. Sustainable, religious, and conventional markets represent three different markets with various characteristics. Motivated with this, the current study measures the tail connectedness between sustainable, religious, and conventional investments by employing a neural network quantile regression approach from December 1, 2008 to May 10, 2021. The neural network recognized religious and conventional investments with maximum exposure to tail risk following the crisis periods reflecting strong diversification benefits of sustainable assets. The Systematic Network Risk Index spots Global Financial Crisis, European Debt Crisis, and COVID-19 pandemic as intensive events yielding high tail risk. The Systematic Fragility Index ranks the stock market in the pre-COVID period and Islamic stocks during the COVID sample as the most susceptible markets. Conversely, the Systematic Hazard Index nominates Islamic stocks as the chief risk contributor in the system. Given these, we portray various implications for policymakers, regulatory bodies, investors, financial market participants, and portfolio managers to diversify their risk using sustainable/green investments.

Examining the avenues of sustainability in resources and digital blockchains backed currencies: evidence from energy metals and cryptocurrencies.

The sustainability issues have been surmounted in the last decades. The digital disruption caused by blockchains and other digitally backed currencies has raised several serious concerns for policymakers, governmental agencies, environmentalists, and supply chain managers. Alternatively, sustainable resources are environmentally sustainable and naturally available resources which are employable by several regulation authorities to reduce the carbon footprint and attain energy transition mechanisms to support sustainable supply chains in the ecosystem. Using the asymmetric time-varying parameters vector auto-regressions approach, the current study examines the asymmetric spillovers between blockchain-backed currencies and environmentally supported resources. We find clusters between blockchain-based currencies and resource-efficient metals, highlighting similar-class dominance of spillovers. We portrayed several implications of our study for policymakers, supply chain managers, the blockchain industry, sustainable resources mechanisms, and regulatory bodies to emphasize that natural resources play a significant role in attaining sustainable supply chains servicing the benefits to society at large and to other stakeholders.

COVID-induced sentiment and the intraday volatility spillovers between energy and other ETFs.

Did Covid19 induce market turmoil impact the intraday volatility spillovers between energy and other ETFs?. To examine this, we first estimate the realized volatility of ETFs using the 5-min high-frequency data. Next, we employ time-varying parameter vector autoregressions (TVP-VAR). Finally, we utilize the wavelet coherence measure to test the time-frequency impact of COVID-induced sentiment on the spillovers by employing investors' psychological and behavioural factors. We find that oil and stock markets are net transmitters while currency, bonds, and silver markets are net receivers. The wavelet analysis embarked significant impact of media coverage and fake news index towards shaping investors' pessimism for their investments. We proposed useful implications for policymakers, governments, investors, and portfolio managers.

Examining the role of gender diversity on ownership structure-sustainable performance nexus: fresh evidence from emerging markets.

The current research presents fresh insights on empirically presenting the relationship between ownership structure and corporate sustainable performance of two emerging markets: Malaysia and Pakistan. Moreover, the moderating role of gender diversity is observed on the relationship between ownership structure and corporate sustainable performance. Dynamic estimator, named system generalized method of moments, is used for estimations that control for potential dynamic endogeneity, simultaneity, and reverse causality. Findings reveal that ownership concentration and state ownership are negatively related to economic, social, and environmental indicators of CSP both in Malaysia and Pakistan, whereas directors' ownership is positively associated with all sustainability indicators. Financial institution's ownership showed a positive significant impact on CSP in Malaysia, whereas an insignificant relationship is observed in Pakistan. Meanwhile, the moderating impact of women directors on the relationship between ownership structure and corporate sustainable performance reveals a significant impact in Malaysia and an insignificant impact in Pakistan. Generally, the findings of the study have practical implications for regulatory authorities, securities commissions, and policymakers of Malaysia and Pakistan. Moreover, there is a need to bring reforms into corporate governance structures in Pakistan, where weak economic conditions leave a frail impact of ownership structure on CSP and an insignificant moderating impact of board gender diversity.

Information transmission in regional energy stock markets.

Since markets are undergoing severe turbulent economic periods, this study investigates the information transmission of energy stock markets of five regions including North America, South America, Europe, Asia, and Pacific where we differentiated the regional energy markets based on their developing and developed state of economy. We employed time-frequency domain from Jan 1995 to May 2021 and found that energy stocks of developed regions are highly connected. The energy markets of North America, South America, and Europe are the net transmitters of spillovers, whereas the Asian and Pacific energy markets are the net receivers of spillovers. The results also reveal that the connectedness of regional energy markets is time and frequency dependent. Regional energy stocks were highly connected following the Asian financial crisis (AFC), global financial crisis (GFC), European debt crisis (EDC), shale oil revolution (SOR), and COVID-19 pandemic. Time-dependent results reveal that high spillovers formed during stress periods and frequency domain show the higher connectedness of regional energy stock markets in the short run followed by an extreme economic condition. These results have significant implications for policymakers, regulators, investors, and regional controlling bodies to adopt effective strategies during short run to avoid economic downturns and information distortions.

Global energy markets connectedness: evidence from time-frequency domain.

We examine the presence of dependence across 51 energy markets classified into different regions from Jan 2007 to June 2021. In order to examine the presence of dependence across different energy markets, we apply standard and threshold dependence measures proposed by Diebold and Yilmaz, Int J Forecast 28:57-66, (2012) and Baruník and Krehlík, J Financ Econ 16(2):271-296, (2018). We highlight the presence of strong dependence between the energy markets at both regional level and across other regions. European and American energy markets are highly connected within the region over the long-run whereas Asia-Pacific and the African energy markets offer optimal diversification opportunities. Both short- and long-run dependence exists between Chinese and the Hong Kong energy markets and between the US and Canadian energy markets. We also witness substantial increase dependence across all the energy markets during different crisis periods.

Are sustainable investments interdependent? The international evidence.

The rising concerns about climate change and environmental degradation have urged various stakeholder to focus on sustainable investments that are facing a drag from the Covid-19 pandemic. Since environmental and Covid-19 challenges are global, it is critical to assess the interlinkages of sustainable investments. In this research, we employ the dependence, centrality, and dynamic network approach to examine the interdependence and its determinants across multiple countries between January 2009 and March 2021. The findings indicate France as the lead risk transmitter while Japan and Taiwan show risk reception among international markets. We observe an increase in dependence during economic turmoil notably in Covid-19 episode. The centrality network revealed the prominent significance of sustainable investments in the European countries that can be attributed to their exceptional efforts to combat the climate change. Finally, our results suggest that the volatility in gold prices is the key driver of interdependence of sustainable investments.

Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19.

The ever-emerging environmental, social, and governance (ESG) concerns have received significant attention of policymakers, governments, regulation bodies, and investors. Considering the markets volatilities due to economic and financial uncertainties that can drive the informational price inefficiencies across the markets, this study compares the asymmetric price efficiency of regional ESG markets by using an asymmetric multifractal detrended fluctuation analysis before and during COVID-19 crisis. We then examine whether global factors influence the asymmetric efficiency of regional ESG markets. Our findings reveal that COVID-19 outbreak reduced the efficiency of regional ESG markets, except for Europe, which sustained its efficiency even during the pandemic. Moreover, global factors drive the efficiency of regional ESG markets significantly before and during COVID-19. A major implication of our findings stems from the fact that a contagion reduces the efficiency of the markets while stable economic conditions make those markets informationally efficient.

Is Islamic FinTech coherent with Islamic banking? A stakeholder's perspective during COVID-19.

The prime purpose of this study is to investigate the impact of Islamic fintech in the Islamic banking sector through a stakeholder approach in the wake of the COVID-19 pandemic. Through self-administered questionnaires, the study collected the data of 1000 respondents for seven categories of stakeholders directly or indirectly associated with Islamic banking and Islamic finance in Pakistan. The stakeholders include the local community, customers, managers of Islamic banks, depositors, employees, regulatory officials, and advisers of Sharia (Islamic Law). The findings indicate that respondents revealed a keen interest in Islamic banking and Islamic fintech, particularly during and post-COVID-19 and believed that Islamic banks must not be considered as profit-oriented organizations. Rather their benefit to society is way beyond profit maximizations. The respondents noted several factors to focus on the projects related to community engagement, promoting sustainable development and reducing poverty in the country. The study unveils that Islamic banks must adopt the practices of Islamic fintech and financial innovations to align the community's social goals. While COVID-19 crisis further facilitated the communities to include Islamic fintech in the Islamic banking system.

Risk Connectedness Between Green and Conventional Assets with Portfolio Implications.

The increasing concerns of investors toward green bonds and their appealing nature of diversification has motivated the current research to study the risk connectedness between green and conventional assets spanning from August 2014 to December 2020. We first estimate the dynamic equi-correlations through DECO-GARCH. Next, we assess the dynamic and static risk connectedness in the median, extreme low, and extreme high quantiles arguing that spillovers vary across different time periods particularly during economically intense time periods. Finally, we analyzed the hedge ratio and hedge effectiveness between green bonds and other assets. We find that equi-correlations are intense during economic shocks such as the Shale oil crisis, Brexit, US interest rate hike, and COVID-19 pandemic. The volatility analysis at average, lower, and upper quantiles also validate time-varying attributes of green and conventional assets. Further, network figures of green and conventional assets identify potential diversification opportunities. Meanwhile, the hedge effectiveness indicates that green bonds are effective hedge for precious metals and cryptocurrencies. Our findings draw multiple implications for policymakers, green investors, financial market participants, and regulatory authorities regarding flight-to-safety during crisis times and maintaining a diverse portfolio to escape potential losses.

Modelling systemic risk of energy and non-energy commodity markets during the COVID-19 pandemic.

COVID-19 led restrictions make it imperative to study how pandemic affects the systemic risk profile of global commodities network. Therefore, we investigate the systemic risk profile of global commodities network as represented by energy and nonenergy commodity markets (precious metals, industrial metals, and agriculture) in pre- and post-crisis period. We use neural network quantile regression approach of Keilbar and Wang (Empir Econ 62:1-26, 2021) using daily data for the period 01 January 2018-27 October 2021. The findings suggest that at the onset of COVID-19, the two firm-specific risk measures namely value at risk and conditional value of risk explode pointing to increasing systemic risk in COVID-19 period. The risk spillover network analysis reveals moderate to high lower tail connectedness of commodities within each sector and low tail connectedness of energy commodities with the other sectors for both pre- and post-COVID-19 periods. The Systemic Network Risk Index reveals an abrupt increase in systemic risk at the start of pandemic, followed by gradual stabilization. We rank commodities in terms of systemic fragility index and observe that in post COVID-19 period, gold, silver, copper, and zinc are the most fragile commodities while wheat and sugar are the least fragile commodities. We use Systemic Hazard Index to rank commodities with respect to their risk contribution to global commodities network. During post COVID-19 period, the energy commodities (except natural gas) contribute most to the systemic risk. Our study has important implications for policymakers and the investment industry.

Determining dependence, centrality, and dynamic networks between green bonds and financial markets.

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.

Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19.

Against the backdrop of the COVID-19 pandemic, the study explores the hedging and safe-haven potential of green bonds for conventional equity, fixed income, commodity, and forex investments. We employ the cross-quantilogram approach to understand better the dynamic relationship between two assets under different market conditions. Our full sample results reveal that the green bond index could serve as a diversifier asset for medium- and long-term equity investors. Besides, it can serve as a hedging and safe-haven instrument for currency and commodity investments. Moreover, the sub-sample analysis of the pandemic period shows a heightened short- and medium-term lead-lag association between the green bond index and conventional investment returns. However, the green bond index emerges as a significant hedging and safe-haven asset for long-term investors of conventional financial assets. Our findings offer valuable insights for long-term investors when their portfolios are comprised of conventional assets such as equities, commodities, forex, and fixed income securities. Further, our findings reveal the potential role of green bond investments in global financial recovery efforts without compromising the low-carbon transition targets.

Comparing the asymmetric efficiency of dirty and clean energy markets pre and during COVID-19.

In the backdrop of the recent COVID-19 pandemic, the study examines the comparative asymmetric efficiency of dirty and clean energy markets pre and during the COVID-19 pandemic. For this purpose, we utilize an asymmetric multifractality detrended fluctuation analysis (A-MF-DFA). The study's findings uncover the presence of asymmetric multifractality in clean and dirty energy markets. In addition, multifractality in the energy markets is sensitive to trends, time horizon and major events. More importantly, the results suggest superior efficiency of clean-energy markets compared to conventional energies. We confirm the time-varying nature of market efficiency in the energy markets, and during the recent COVID-19 outbreak, market inefficiencies in the clean and dirty energy markets soared. In this way, the study holds meaningful insights for policymakers, energy policy practitioners, investors, and financial market participants to choose between clean (dirty) investments based on their asymmetric efficiency (inefficiency).

Impact of COVID-19 on the connectedness across global hospitality stocks.

This study investigated the connectedness of top ten hospitality stocks in the world and the impact of the COVID-19 pandemic on this connectedness. For this purpose, we employ the time-varying parameter vector autoregressions (TVP-VAR) to examine the return connectedness among the world's top ten hospitality stocks. We further utilize the wavelet coherence measure to test the impact of COVID-related indexes on the connectedness across the hospitality stocks from January 1, 2020 to July 16, 2021. Our findings explore a strong connectedness among the hospitality stocks, although the total connectedness index is considerably affected by the first wave, the second wave, and the approval of COVID-19 vaccines. France and UK hospitality stocks appeared to be dominant and were the highest net transmitters of spillover shocks to other sample stocks. We document that the COVID-19 pandemic is the prime driver of the hospitality stocks' connectedness during the sample period. Aside from the contribution to hospitality and finance literature, our conclusions and implications can also benefit parties such as hospitality firm managers, investors, portfolio managers, and policymakers.

Impact of COVID-19 on the quantile connectedness between energy, metals and agriculture commodities.

With many studies highlighting the heterogeneous impact of the COVID-19 pandemic on different commodity markets, this study provides evidence of quantile connectedness between energy, metals, and agriculture commodity markets before and during the COVID-19 outbreak. Since mean-based measures of connectedness are not necessarily suitable to measure connectedness in the crisis period, especially in the tails of the return distribution, thus in this study, we use the newly developed approach of quantile-based connectedness. The full-sample analysis results show that return shocks only propagate within the energy commodity group. The findings manifest that transmission of return spillovers is stronger in the left and right tails of the conditional return distribution. In addition, the results unveil that degree of tail-dependence between energy, metals, and agriculture commodities are time-varying. Meanwhile, our sub-sample analysis clearly shows that the commodity market return connectedness demonstrates a significant shift over time due to COVID-19 shocks. There is evidence of strong transmission of return shocks between energy, metals, and agriculture commodities during the COVID-19 fiasco. Finally, the results also illustrate that softs and livestock commodities hold significant diversification benefits for energy market investors.

Green bonds and other assets: Evidence from extreme risk transmission.

Green bonds (GB) are gaining a prominent role in sustainable development because of their ability to fund environment-friendly projects. This study aims to investigate if investors can benefit from the risk diversification properties of including GB with other assets, particularly within the context of the ongoing COVID-19 pandemic. To do so, we utilize a quantile-connectedness approach to examine a set of GB and traditional assets, i.e., commodities, stocks, and bonds, from 2008 to 2020. We find higher total time-varying risk spillovers during extreme high volatility periods than those with average and low volatility. For pairwise risk spillovers, GB offers more diversification opportunities when volatility is very low. Nevertheless, the diversification benefits increase during the COVID period. The strong bidirectional risk spillovers between GB and conventional bonds imply that GB can be considered a good alternative to traditional bonds while benefiting from their diversification potential, particularly with energy and agriculture. Our findings are useful for investors wishing to implement green diversification portfolio strategies in extreme volatility periods and act as an encouragement to policymakers to establish efficient policies to promote green finance.

Liquidity connectedness in cryptocurrency market.

We examine the dynamics of liquidity connectedness in the cryptocurrency market. We use the connectedness models of Diebold and Yilmaz (Int J Forecast 28(1):57-66, 2012) and Baruník and Krehlík (J Financ Econom 16(2):271-296, 2018) on a sample of six major cryptocurrencies, namely, Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Ripple (XRP), Monero (XMR), and Dash. Our static analysis reveals a moderate liquidity connectedness among our sample cryptocurrencies, whereas BTC and LTC play a significant role in connectedness magnitude. A distinct liquidity cluster is observed for BTC, LTC, and XRP, and ETH, XMR, and Dash also form another distinct liquidity cluster. The frequency domain analysis reveals that liquidity connectedness is more pronounced in the short-run time horizon than the medium- and long-run time horizons. In the short run, BTC, LTC, and XRP are the leading contributor to liquidity shocks, whereas, in the long run, ETH assumes this role. Compared with the medium term, a tight liquidity clustering is found in the short and long terms. The time-varying analysis indicates that liquidity connectedness in the cryptocurrency market increases over time, pointing to the possible effect of rising demand and higher acceptability for this unique asset. Furthermore, more pronounced liquidity connectedness patterns are observed over the short and long run, reinforcing that liquidity connectedness in the cryptocurrency market is a phenomenon dependent on the time-frequency connectedness.

Asymmetric efficiency of cryptocurrencies during COVID19.

In this study, we examine the asymmetric efficiency of cryptocurrencies using 1-hour data of Bitcoin, Ethereum, Litecoin, and Ripple. In doing so, we utilize the asymmetric multifractal detrended fluctuation analysis (MF-DFA). We find significant asymmetric multifractality in the price of cryptocurrencies and that upward trends exhibit stronger multifractality than downward trends. Using the time-varying deficiency measure, we show that the COVID-19 outbreak adversely affected the efficiency of the four cryptocurrencies, given a substantial increase in the levels of inefficiency during the COVID-19 period. Bitcoin and Ethereum are the hardest hit, and at the same time, these two largest cryptocurrencies recovered faster at the end of March 2020 from their sharp dip towards inefficiency. The findings confirm previous evidence that market efficiency is time varying; also, unprecedented catastrophic events, such as the COVID-19 outbreak, have adverse effects of on the efficiency of leading cryptocurrencies.