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This study aims to examine the impact of the stringency of COVID-19 protocols on the volatility of sectoral indices during the period 03:2020–05:2021. Specifically, this study investigates the role of economic disturbances on sectoral volatility by applying a range of conditional volatility techniques.

For this analysis, two approaches were adopted. The first approach considers COVID stringency as a factor in the conditional variance equation of sectoral indices. In contrast, the second approach considers the stringency indicator as a possible determinant of their estimated conditional volatility.

Results show that the stringency of the protocols throughout the pandemic phase led to an instantaneous spike followed by a gradual decrease in estimated volatility of all the sectoral indices except pharma and health care. Specific sectors such as bank, FMCG, consumer durables, financial services, IT, media and private banks respond to protocols expeditiously compared to other sectors.

The key contribution of this study to the existing literature is the innovative approach. The inclusion of the COVID stringency index as a regressor in the variance equation of the conditional volatility techniques was a distinctive approach for assessing the volatility dynamics with the stringency of COVID protocols. Furthermore, this study also adopts an alternative approach that estimates the conditional volatility of the indices and then tests the effect of the stringencies on estimated volatility in a regression framework.

Following the COVID-19 outbreak, various economies imposed different financial interventions as part of initiatives to cushion their stock markets from deteriorating performance. Our article examines the effectiveness of these interventions in protecting stock markets during the pandemic.

The authors employ Panel Vector Autoregression to model the magnitude and timing of shocks from COVID-19 to stock markets. The fixed effects regression is then utilized to assess the role of financial interventions in protecting stock markets during COVID-19. The study uses daily stock index returns as well COVID-19 containment measures stringency index data from 39 countries ranging from 2nd January 2020 to 30th September 2021.

Our findings firstly reveal a significant positive stock market reaction to country-level containment measures stringency but only during the first wave of COVID-19. We secondly show that stock market functioning interventions that include short selling bans and circuit breakers amplify the positive effects of COVID-19 containment measures stringency on stock market performance.

The authors stress the need for policymakers and regulators to timely intervene in protecting economies and stock markets during crises such as COVID-19 in order to reduce panic among investors. Moreover, investors should adjust their portfolios by investing in stocks from countries that have proper financial market interventions in place.

Despite growing body of literature on COVID-19 and stock market performance, there is limited evidence on the role of financial sector interventions to cushion stock markets during tumultuous conditions caused by the pandemic.

African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been important for the growth prospects of African Economies. In this paper, we attempt to study the impact of FDI and Trade in a COVID-19 scenario on the African Economies. We also study the lockdown restrictions in different regions of Africa. Applying Neural Network Analysis for the sample of 36 African Economies we identify the significant economic variables for GDP. The analysis based on a feedforward structure suggests that Merchandize Exports (MEXP) and Foreign Direct Investment Stock (FDIS) have very strong causal linkages with the GDP for African Economies sample. On the other hand, Merchandise Imports (MIMP), Services Exports (SEMP), Services Imports (SIMP), and Foreign Direct Investment Inflows (FDII) have a strong and significant relationship with GDP for the African Economies. Tariff Measures (TRFF), Anti-Dumping measures (ADP) and Foreign Direct Investment Outflows (FDIO) have no significant relationship.

The present study examines the rationale behind the increased global presence of corporate green bonds as a green financing tool to facilitate sustainable practices and eco-friendly investing. The authors investigate the intriguing question of whether the companies that issue green bonds are valued more by investors or not, and further extend our analysis by exploring whether the green image of companies helps to minimize the value erosion during a crisis and enhance the resilience of the stocks?

To examine the association between environmental commitments and firm value, the authors use the COVID-19 crisis as an exogenous shock and create a perfect natural setting to eliminate the endogeneity bias from our estimations. Moreover, the authors use propensity score matching to choose a one-to-one match of green bond firms with a larger pool of brown bond firms and eliminate the “size effect” arising out of the disproportionate sample size of green and brown bond firms.

The results of the study indicate that green bond firms are valued more by investors compared to brown bonds firms. Hence, green bond issuance acts as a strong signal of a firm's environmental commitment and it is well recognized by the investors. One of the possible reasons for a higher value of green bond firms may be due to their ability to arrest value erosion during environmental shocks. The authors could not find any difference in the resilience of green and brown bond firms.

The study contributes to the growing literature in the area of impact investing, specifically on exponentially growing innovative instrument green bond. Our study integrates two areas of research, i.e. corporate finance and impact investing by examining the impact of green bond issuance on firm value and stock market returns. The results would help environmentally sensitive investors to devise their investment portfolios more efficiently.

The purpose of this study is to examine the impact of the 2020 COVID-19 lockdown on the audit fees and audit delay of audit client firms located in 52 countries and audit firm offices located in 40 countries.

Using archival audit data from Audit Analytics in the fiscal year 2020, this study examines the impact of the length of COVID-19 lockdown and other public health restrictions, measured by the stringency index (Hale et al., 2021), on audit fees and audit delay using a multivariate regression analysis.

Based on a sample of 2,726 US firms and 718 non-US firms from 51 different countries outside the USA and audit firm offices in 40 countries during the fiscal year 2020, the authors find that the COVID-19 lockdown and public health restrictions increase audit fees and audit delay. However, non-US firms experience longer audit delay because of the lockdown than their US counterparts. In addition, longer lockdown and greater restrictions increase the audit fees and audit delay of non-US firms with high audit risk at a greater rate than those of US firms with high audit risk.

The results of this study suggest that auditors increase audit fees and have longer audit delay when facing more COVID-19 restrictions. Increased audit fees and audit delay are likely to result from higher perceived audit risk and, consequently, additional audit effort to design new procedures, train staff to use the new procedures and implement them amid the pandemic restrictions. The impact of COVID lockdown and restrictions on audit fees and audit delay are more pronounced for non-US firms with greater audit risk. The results of this study suggest that audit firms should quickly adapt to the evolving audit, risk and financial landscape created by the pandemic.

Using archival audit data and large sample size, this study provides the first empirical evidence of the impact of lockdown and public health restrictions during the first wave of COVID-19 outbreak on audit processes as measured with audit fees and audit delay.

This paper aims to examine the dynamic impacts of the COVID-19 pandemic and government policy on real house price indices in five emerging economies, namely, Brazil, China, Thailand, Turkey and South Africa.

The authors use the local projection method with a panel data set of these countries spanning from January 2020 to July 2021.

The number of COVID-19 confirmed positive cases raised housing prices, whereas government containment measures reduced them. Both conventional and unconventional monetary policy implemented by central banks to cope with the COVID-19 helped increase housing prices. These effects were strengthened by the US monetary policy via globalized financial markets.

First, while previous researches typically concentrated on developed countries, the authors investigate emerging economies where proportionally more people were badly affected by the pandemic. Second, a panel data set of five emerging economies enabled the authors to examine the dynamic effects of the COVID-19 crisis on housing prices. Third, to the best of the authors’ knowledge, this is the first study evaluating the influences of easing monetary policy on housing prices in emerging economies during the pandemic.

COVID-19 has had various effects on women’s labour supply worldwide. This study investigates how women’s labour market outcomes in the MENA region have been affected by the stringency of governments’ COVID-19 responses and school closures. We examine whether women, particularly those with children at young age, reduced their labour supply to take care of their families during the pandemic.

To investigate whether having a family results in an extra penalty to women’s labour market outcomes, we compare single women to married women and mothers. Using the ERF COVID-19 MENA Monitor Household Surveys, we analyse the key conditions underlying women’s labour market outcomes: (1) wage earnings and labour market status including remaining formally employed, informally, unpaid or self-employed, unemployed or out of the labour force and (2) becoming permanently terminated, being suspended, seeing a reduction in the hours worked or wages, or seeing a delay in one’s wage payments because of COVID-19. Ordered probit and multinomial logit are employed in the case of categorical outcomes, and linear models for wage earnings.

Women, regardless of whether they have children or not, appear to join the labour market out of necessity to help their families in the times of crisis. Child-caring women who are economically inactive are also more likely to enter the labour market. There is little difference between the negative experiences of women with children and child-free women in regard to their monthly pay reduction or delay, or contract termination, but women with children were more likely to experience reduction in hours worked throughout the pandemic.

These findings may not have causal interpretation facilitating accurate inference. This is because of potential omitted variables such as endogenous motivation of women in different circumstances, latent changes in the division of domestic work between care-giving and other household members, or selective sample attrition.

Our analysis explores the multiple channels in which the pandemic has affected the labour outcomes of MENA-region women. Our findings highlight the challenges that hamper the labour market participation of women, and suggest that public policy should strive to balance the share of unpaid care work between men and women and increase men’s involvement, through measures that support child-bearing age women’s engagement in the private sector during crises, invest in childcare services and support decent job creation for all.

Information and communications technology (ICT) is helping to create a sustainable information society and foster development. This study aims to investigate the interdependencies of organisational flexibility enabled by ICT, demographics and containment measures in the ever more dismal economic performances seen during COVID-19 with a view to preparing socio-economic systems for similar future shocks.

Using non-classical fuzzy-set qualitative comparative analysis, the authors are able to capture the asymmetric relationships and complexities found in real life.

Analysing data acquired from the Oxford COVID-19 Government Response Tracker and Eurostat, the authors find these conditions give mixed results depending on how they are combined. The results imply that countries under strict containment measures might only be able to survive when fully equipped with ICT solutions. E-commerce also plays an important role in countries with a below-average decrease in their growth rate. Put differently, the presence and absence of telework produces mixed results. If the population is old, telework seems to generate the desired outcomes. Yet, when the population is young, it might be more beneficial to avoid this practice.

Unlike studies that mainly assumed symmetrical effects and linear relationships, this study investigates the interdependencies of organisational and macro-level factors. On the micro level, this study is useful for managers allocating IT investments for any future occurrence of a general disaster/pandemic. On the macro level, the study can act as an example for the rest of the world regarding the appropriateness of assorted COVID-19 pandemic responses as witnessed in European countries.

The purpose of this paper is to study the impact of economic factors on foreign direct investment (FDI) inflows into Asian region before and after the COVID-19 pandemic.

The study used the generalized method of moments (GMM) technique to examine the impact of economic growth, domestic investment and trade openness on FDI in the Asian region, in two periods from 1996 to 2018 and from 2019 to 2020.

In the pre-COVID-19 period, the estimated result shows that the economic growth, domestic investment, imports and exports positively impact FDI. In the post-COVID-19 period, the FDI is influenced by the strength of the economic characteristics of the region. The main findings indicate that economic growth has a positive and significant effect on FDI inflows into Asia. The findings also show that the economic resilience to attract FDI in Asia is significantly affected by economic growth and positively affected by trade openness and government responses during the pandemic.

The study suggests the Asian governments increasing the domestic investment and improving the quality of trade openness.

On 24 January 2020, France informed WHO of three cases of novel coronavirus, all of whom had travelled from Wuhan, China. These three cases were the first confirmed cases in Europe. By 13 March 2020, Europe had become the epicentre of the pandemic with more reported cases and deaths than the rest of the world combined, apart from the People’s Republic of China. Many European countries like Italy, France and Germany took drastic actions and subsequently announced a lockdown, while other countries like the UK, the Netherlands and Sweden were much more hesitant to introduce such far-reaching safety measures. This chapter provides a literature overview of how the variation in such measures in Europe has ultimately resulted in changes in daily activities and travel behaviour during the pandemic. It focusses on five main themes: (i) reduction in mobility and activities, (ii) spatial-temporal adjustments in out-of-home activities in which people still participated, (iii) modal adjustments especially among people who used to travel by public transport before the pandemic, (iv) new out-of-home activities including new outdoor activities and (v) digital adaptations as several out-of-home activities were replaced by digital activities, with special attention to the experience of teleworking.