The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies

The prime objective of this article is to examine the policy-making role of metal markets, gold resources, and clean energy markets in the post-COVID-19 era and the Russia-Ukrainian military conflict. In doing so, we analyze the role of fossil fuels, clean energy, and metals markets, considering the military conflict in Ukraine in 2022. The study employs event study methodology (ESM), Total connectedness index (TCI), and network analyses. The results indicate that natural gas and clean energy prices are less affected by conflict in the aftermath of an invasion than traditional energy and metals markets. In addition, we observe an increase in the TCI in the energy markets during announcement days. The TCI of the metals market is greater than that of the energy market. According to network connectivity, the key asset class transmitters of the shock in Europe are the Geopolitical index (GPR), gold, and the clean energy stock index (ERIX). The U.S. markets are less affected by the situation in Ukraine. The average hedge suggests that the optimal hedge differs from one market to the next, with fossil fuels and renewable energy, respectively, being more hedge effective and reducing risk by an average of around 0.80 and 0.59, given their ability to function as a hedging instrument.

Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States

The COVID-19 crisis and global economic recession have shrunk the world's energy use, collapsed stock markets and crashed energy prices. Green economy projects are hence losing their focus and competitiveness, endangering the achievement of sustainable development goals and neutrality targets. The study aims to examine the dynamic linkages between the green economy, sustainability, Bitcoin, oil prices and stock markets. We do this by utilizing the daily data from August 2016 to August 2021 for the case of the United States. The recently developed quantile-on-quantile regression (QQR) and quantile Granger causality methods are employed for empirical analysis. Our empirical results indicate that a green economy or green financing from institutions is very sensitive to economic shocks, oil price changes and overall sustainability changes. Similarly, empirical results further reveal that there is a negative association between sustainability with oil prices and sustainability with stock markets;that oil prices and stock markets are also sensitive to sustainability-related shifts. Our study advises investors who want to support sustainable development to include green assets in their portfolios, such as green bonds, which are a good substitute for clean energy or renewable energy stocks. This study reports some fruitful implications apropos of sustainable development goals and a green economy.

The changing role of innovation for crisis management in times of COVID-19: An integrative literature review

Since the outbreak of the COVID-19 pandemic, countries have concentrated on developing policies that encourage the creation of more innovative products and services in response to the global health emergency. Effective collaboration, communication, and Open Innovation (OI) among government entities, education and research institutions, and the private sector have been critical to each country's overall effectiveness during the economic crisis. The objective of this paper is to examine the relationship between innovation and COVID-19 critically to have a better understanding of future research and practice developments. A systematic evaluation was conducted, analyzing papers on innovation and the COVID-19 pandemic. A total of 218 studies were analyzed to determine the essential research directions in this domain. Our suggested framework is made of aggregate components, which include technology adaption, sustainable development, healthcare, and sustainable economic performance. These components form the basis for the identification of emerging research hotspots in the field of COVID and innovation, as well as frame the COVID-19 issue as an opportunity to raise awareness about the crucial role of innovation in business and society at large.

Tranexamic acid for intracerebral haemorrhage within 2 hours of onset: protocol of a phase II randomised placebo-controlled double-blind multicentre trial.

RATIONALE: Haematoma growth is common early after intracerebral haemorrhage (ICH), and is a key determinant of outcome. Tranexamic acid, a widely available antifibrinolytic agent with an excellent safety profile, may reduce haematoma growth. METHODS AND DESIGN: Stopping intracerebral haemorrhage with tranexamic acid for hyperacute onset presentation including mobile stroke units (STOP-MSU) is a phase II double-blind, randomised, placebo-controlled, multicentre, international investigator-led clinical trial, conducted within the estimand statistical framework. HYPOTHESIS: In patients with spontaneous ICH, treatment with tranexamic acid within 2 hours of onset will reduce haematoma expansion compared with placebo. SAMPLE SIZE ESTIMATES: A sample size of 180 patients (90 in each arm) would be required to detect an absolute difference in the primary outcome of 20% (placebo 39% vs treatment 19%) under a two-tailed significance level of 0.05. An adaptive sample size re-estimation based on the outcomes of 144 patients will allow a possible increase to a prespecified maximum of 326 patients. INTERVENTION: Participants will receive 1 g intravenous tranexamic acid over 10 min, followed by 1 g intravenous tranexamic acid over 8 hours; or matching placebo. PRIMARY EFFICACY MEASURE: The primary efficacy measure is the proportion of patients with haematoma growth by 24±6 hours, defined as either ≥33% relative increase or ≥6 mL absolute increase in haematoma volume between baseline and follow-up CT scan. DISCUSSION: We describe the rationale and protocol of STOP-MSU, a phase II trial of tranexamic acid in patients with ICH within 2 hours from onset, based in participating mobile stroke units and emergency departments.

Revisting conventional and green finance spillover in post-COVID world: Evidence from robust econometric models

In 2020, ESG funds that invest in companies that score higher on environmental, social, and governance measures witnessed an increase in investment compared to 2019. Understanding the causal relationship and spillover between these two types of indexes may help investors determine if clean energy indexes follow the same trend as conventional indexes or the reverse. Additionally, investors would benefit from understanding this causation in both the pre- and post-Covid-19 eras. We conceive this study to plug this gap and advance the knowledge in this critical area. We study the causality and spillover between NASDAQ clean energy indexes, and their corresponding alternatives namely, NASDAQ Composite Index and NASDAQ Global Select Market Composite using the daily data and from 1 st January 2011 to 29 th June 2021. We apply the Granger-Causality test and the spillover models approach by Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) to determine any medium-run, or long-run causality, and spillover between the indexes under reference, respectively. Our results suggest us to observe that both sustainable and green indexes exhibit bi-directional causality where both sets of indexes impact each other in the long-run. Additionally, after the emergence of the COVID-19 pandemic, the connectivity between the two sets of indices rose significantly. Our findings also suggest that the investors will not lose on risk-adjusted returns if they chose to go green. With the investors' ability to shift towards green investment without losing on financial returns, it shall become even easier for businesses to steer their operations.

Structural basis for the binding of the cancer targeting scorpion toxin, ClTx, to the vascular endothelia growth factor receptor neuropilin-1.

Chlorotoxin (ClTx) is a 36-residue disulfide-rich peptide isolated from the venom of the scorpion Leiurus quinquestriatus. This peptide has been shown to selectively bind to brain tumours (gliomas), however, with conflicting reports regarding its direct cellular target. Recently, the vascular endothelial growth factor receptor, neuropilin-1 (NRP1) has emerged as a potential target of the peptide. Here, we sought to characterize the details of the binding of ClTx to the b1-domain of NRP1 (NRP1-b1) using solution state nuclear magnetic resonance (NMR) spectroscopy. The 3D structure of the isotope labelled peptide was solved using multidimensional heteronuclear NMR spectroscopy to produce a well-resolved structural ensemble. The structure points to three putative protein-protein interaction interfaces, two basic patches (R14/K15/K23 and R25/K27/R36) and a hydrophobic patch (F6/T7/T8/H10). The NRP1-b1 binding interface of ClTx was elucidated using 15N chemical shift mapping and included the R25/K27/R36 region of the peptide. The thermodynamics of binding was determined using isothermal titration calorimetry (ITC). In both NMR and ITC measurements, the binding was shown to be competitive with a known NRP1-b1 inhibitor. Finally, combining all of this data we generate a model of the ClTx:NRP1-b1 complex. The data shows that the peptide binds to the same region of NRP1 that is used by the SARS-CoV-2 virus for cell entry, however, via a non-canonical binding mode. Our results provide evidence for a non-standard NRP1 binding motif, while also providing a basis for further engineering of ClTx to generate peptides with improved NRP1 binding for future biomedical applications.

Revisiting the sustainable versus conventional investment dilemma in COVID-19 times.

Sustainable living has emerged as the need of the hour for mankind in present times. Practitioners, as well as scholarship in the area, are divided over the comparison of financial returns from sustainable indexes vis-à-vis conventional indexes, causing investors' dilemma. These questions loom larger during the times of global crises, such as COVID-19, which have brought sustainability concerns to the limelight. This dilemma of the investors leads us to approach the study on hand. We study the Thomson Reuters/S-Network global indexes (as a proxy for sustainability-based indexes), and their corresponding alternatives, using the daily closing prices from 1st January 2011 to 29th June 2020. We apply the time-frequency-based Granger-Causality test, and further attempt to understand the coherence between these indexes before and during the COVID-19 period by using the Wavelet Coherence and phase-difference mechanisms. Our results suggest short-run uni-directional causality from sustainable indexes to conventional indexes whereas bi-directional causality in medium and the long-runs. The coherence is particularly stronger at low frequencies, indicating the long-run coherence with sustainable indexes in the lead during COVID-19. The results and conclusions of the study have important implications for different audiences. The portfolio and fund managers can prefer to invest in such markets to avail of higher returns over a longer period.

From Challenges to Creativity: Enhancing SMEs’ Resilience in the Context of COVID-19

COVID-19 pandemic has brought significant and multiple challenges for SMEs. While SMEs have traditionally faced financial and non-financial crises, the pandemic has brought about additional uncertainties on how to maintain business continuity. The purpose of this paper is to examine how SMEs can mitigate against COVID-19-related crisis by examining the impacts that the pandemic has had on them through a review of 34 articles. The thematic analysis from the literature covered three overarching and inter-related challenges including (i) cost and finance-related challenges, (ii) disruption of activities, and (iii) existential difficulties. The paper’s value lies in addressing the gap between the espoused literature’s claim of the beneficial impact of new technological advancements and SMEs’ ability to survive in the context of the COVID-19 pandemic. The additional value of this paper is a framework of recommendations to help enhance SMEs’ resilience and responsiveness in the context of COVID-19. These recommendations include collaboration, openness, taking advantage of opportunities/victory, and durability.

COVID-19 and environmental concerns: A rapid review.

COVID-19 has slowed global economic growth and consequently impacted the environment as well. Parallelly, the environment also influences the transmission of this novel coronavirus through various factors. Every nation deals with varied population density and size; air quality and pollutants; the nature of land and water, which significantly impact the transmission of coronavirus. The WHO (Ziaeepour et al., 2008) [1] has recommended rapid reviews to provide timely evidence to the policymakers to respond to the emergency. The present study follows a rapid review along with a brief bibliometric analysis of 328 research papers, which synthesizes the evidence regarding the environmental concerns of COVID-19. The novel contribution of this rapid review is threefold. One, we take stock of the diverse findings as regards the transmission of the novel coronavirus in different types of environments for providing conclusive directions to the ongoing debate regarding the transmission of the virus. Two, our findings provide topical insights as well as methodological guidance for future researchers in the field. Three, we inform the policymakers on the efficacy of environmental measures for controlling the spread of COVID-19.

Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation.

This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world's top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations. The findings of the study suggest that there exists a strong cross-sectional dependence between Covid-19 cases, deaths, and all the meteorological factors for the countries under study. The findings also reveal that a long-term relationship exists between all the meteorological factors. There exists a bi-directional causality running between the Covid-19 cases and all the meteorological factors. With Covid-19 death cases as the dependent variable, there exists bi-directional causality running between the Covid-19 death cases and Covid-19 confirmed cases, air pressure, humidity, and temperature. Temperature and air pressure exhibit a statistically significant and negative impact on the Covid-19 confirmed cases. Air pollutant PM2.5 also exhibits a significant but positive impact on the Covid-19 confirmed cases. Temperature indicates a statistically significant and negative impact on the Covid-19 death cases. At the same time, Covid-19 confirmed cases and air pollutant PM2.5 exhibit a statistically significant and positive impact on the Covid-19 death cases across the ten countries under study. Hence, it is possible to postulate that cool and dry weather conditions with lower temperatures may promote indoor activities and human gatherings (assembling), leading to virus transmission. This study contributes both practically and theoretically to the concerned field of pandemic management. Our results assist in taking appropriate measures in implementing intersectoral policies and actions as necessary in a timely and efficient manner. Causal relations of Meteorological factors and Covid-19 (2 models used in the study).

Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia.

The pandemic has affected almost 74 million people worldwide as of 17 December 2020. This is the first study that attempts to examine the nexus between the confirmed COVID-19 cases, deaths, meteorological factors, and the air pollutant namely PM2.5 in six South Asian countries, from 1 March 2020 to 30 June 2020, using the advanced econometric techniques that are robust to heterogeneity across nations. Our findings confirm (1) a strong cross-sectional dependence and significant correlation between COVID-19 cases, deaths, meteorological factors, and air pollutant; (2) long-term relationship between all the meteorological variables, air pollutant, and COVID-19 death cases; (3) temperature, air pressure, and humidity exhibit a significant impact on the COVID-19 confirmed cases, while COVID-19 confirmed cases and air pollutant PM2.5 have a statistically significant impact on the COVID-19 death cases. In this way, the conclusion that high temperature and high humidity increase the transmission of the COVID-19 infections can also be applied to the regions with greater transmission rates, where the minimum temperature is mostly over 21 °C and humidity ranges around 80% for months. From the findings, it is evident that majority of the meteorological factors and air pollutant PM2.5 exhibit significant negative and positive effects on the number of COVID-19 confirmed cases and death cases in the six countries under study. Air pollutant PM 2.5 provides more particle surface for the virus to stick and get transported longer distances. Hence, higher particulate pollution levels in the air increase COVID-19 transmission in these six South Asian countries. This information is vital for the government and public health authorities in formulating relevant policies. The study contributes both practically and theoretically to the concerned field of pandemic management.

Sailing through the COVID-19 Crisis by Using AI for Financial Market Predictions

The outbreak of COVID-19 has brought the world to an unprecedented position where financial and mental resources are drying up. Livelihoods are being lost, and it is becoming tough to save lives. These are the times to think of unprecedented solutions to the financial challenges being faced. Artificial intelligence (AI) has provided a fresh approach to finance through its implementation in the prediction of financial market prices by promising more generalizable results for stock market forecasting. Immense literature has attempted to apply AI and machine learning for predicting stock market returns and volatilities. The research on the applications of AI in finance lacks a consolidated overview of different research directions, findings, methodological approaches, and contributions. Therefore, there is a need to consolidate the extant literature in this upcoming field to consolidate the findings, identify the research gaps in the existing literature, and set a research agenda for future researchers. This paper addresses this need by synthesizing the extant literature in the form of a systematic review for addressing the use of AI in stock market predictions and interpreting the results in a narrative review. The gap formed through this article is the use of a combination of AI as a subject with the neural network as another area and stock market forecasting as another theme, and it will pave the way for future research studies. The analyses help highlight four important gaps in the existing literature on the subject.

Reviving tourism industry post-COVID-19: A resilience-based framework.

The COVID-19 pandemic struck the tourism industry severely. Based on the review of 35 papers that studied the tourism industry in the wake of the pandemic, we propose a resilience-based framework for reviving the global tourism industry post-COVID-19. Our framework outlines four prominent factors for building resilience in the industry: government response, technology innovation, local belongingness, and consumer and employee confidence. We argue that using such inclusive resilience; the tourism industry may transform into a new global economic order characterized by sustainable tourism, society's well-being, climate action, and the involvement of local communities. We also offer directions for future research in the area.

Panic During COVID-19 Pandemic! A Qualitative Investigation Into the Psychosocial Experiences of a Sample of Indian People.

The outbreak of COVID-19 has spread to the entire world and is severely affecting social psychology. We conducted semi-structured interviews on 59 subjects from India to investigate the impact of information, misinfodemics (spread of wrong information), and isolation on their psychology. We perform qualitative analysis on the data. Our findings reveal that flow of information leads to anxiety, caution, and knowledge; while misinfodemics cause panic, distrust, and confusion; and isolation creates cognitive dissonance (the state of having inconsistent thoughts, beliefs, or attitudes) and adaptability among masses. The encouraging part of our findings is that, as of now, the situation is far from the state of depression. Practically, our research calls upon the government to support the masses in fighting through the crisis by focusing on pointed psychological counseling. We contribute theoretically to the body of knowledge in the field of social psychology, which is studying the psychological interventions to avoid panic amid pandemic. Future researchers in the area would do well by detailing the psychological interventions required to contain the negative impacts of the pandemic on social psychology.

Policy response to the economic challenge from COVID-19 in India: A qualitative enquiry

The recent COVID-19 pandemic has not only resulted in the loss of human lives but also distressed economies. The impact of this crisis is even higher in emerging economies like India due to already slowing growth rates, poor health infrastructure, and a significant population living in extreme poverty. While the government is taking measures to handle this crisis, nobody can be sure if these measures are adequate, as this will depend on how soon the spread of the virus is contained in the country. However, understanding the depth of the impact of COVID-19 pandemic on the Indian economy is vital to formulate the policy and measures to contain this economic impact. This paper attempts to understand the impact of COVID-19 pandemic on the Indian economy by employing a qualitative research design, based on sentiment analysis to understand 15 industry experts' opinion concerning the socio-economic impact of COVID-19. The study makes a theoretical as well as applied contribution to the field of study. While theoretically, it contributes to the field of pandemic research, public health management, and disaster management;in an applied sense, we propose a set of measures for the policymakers based out in India, as well as in other emerging nations of the world.

A qualitative enquiry into strategic and operational responses to Covid-19 challenges in South Asia.

The Covid-19 epidemic is a public health emergency of international concern. It poses a massive risk for the human race across the planet, calling for the need to take measures at the local, regional, national, and global levels. South Asian countries stand more vulnerable to the pandemic due to their dense population, poor infrastructure, and low surveillance system. This paper aims to understand the challenges from the Covid-19 pandemic for South Asia; and investigates the strategic and operational responses to this pandemic by policymakers and healthcare professionals, respectively, in South Asia. The study uses interviews and opinions of policymakers and doctors, from the South Asian region, involved in tackling the Covid-19 crisis. The qualitative analysis is performed on these interviews and opinions by using NVivo 12 software. The findings indicate that policymakers and healthcare providers across South Asia have been showing efficient teamwork while dealing with this pandemic. The healthcare administrators being at the operational level, convey the challenges they face to the policymakers who then respond to them at a strategic level.

Lives or livelihood: Insights from locked-down India due to COVID19.

India is the second most populous country of the world, counted among the most rapidly growing economies of the world. Realizing that a fast spread of COVID19 in India would wipe-out a huge part of the world population, the government of India found itself in a dilemma of whether to save lives or livelihoods. Prioritizing lives for livelihood, the government announced to lockdown the country. This measure is supposed to leave a lasting impact on the economy of the country, which is evident from a cut in the GDP growth forecast by Moody's (from 5.3 per cent to 2.5 per cent for calendar year 2020) within ten days of the earlier projection. This article suggests measures to the government of India to balance between saving lives and sustaining the economy.