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The global financial crisis (GFC) of 2007–2008 had far-reaching consequences for the global economy, triggering widespread economic turmoil. We use the event-study method to investigate whether investors priced the effect of significant events before the Lehman Brothers' bankruptcy in European and Asia-Pacific banks. Abnormal returns on the event days range from −4.32% to 5.03% in Europe and −5.13% to 6.57% in Asia-Pacific countries. When Lehman Brothers went bankrupt on September 15, 2008, abnormal returns averaged the lowest at −4.32% in Europe and −5.13% in Asia-Pacific countries. The significant abnormal returns show that Lehman Brothers' collapse was a turning point, and investors paid attention to the precrisis events as warning signs of the oncoming crisis.

The COVID-19 pandemic caused unprecedented global turmoil and a halt on international tourism. This study aims to evaluate the scientific literature about tourism crisis and disasters and depicts how this research stream evolved in the face of economic, security, health, environmental or trust crises, further providing insights about a research agenda on this stream.

This study uses bibliometric methods and topic models, specifically latent Dirichlet allocation (LDA) methods to evaluate the nature and course of the tourism crises and disasters scientific literature. Data from 2,810 documents were retrieved from the Web of Science database and were used to perform the analysis.

The results show an increase of tourism crises and disasters scientific literature departing from 2010, and a surge in 2020 and 2021 due to the COVID-19 pandemic. Furthermore, themes such as tourism competitiveness, tourism demand, crisis management, perceived risk, natural disasters and destination recovery are among the most relevant themes in the research line, showing that the effect of economic and financial crises on tourism industry, sustainable tourism and tourism demand are set to be among the most relevant in the upcoming years.

This study fills a void in the tourism literature by providing a roadmap to understand the past, present and future of the tourism crises and disasters research line and the avenues for future research in this field, including methods, in the period post-COVID-19.

Previous studies on tourism crises and disasters were focused on literature review and on the relationship between crises and disasters and the tourism industry. This study uses a set of methods unused before in the research stream, namely, a combination of bibliometric methods and LDA methods, to provide a road map for the present state-of-the-art of tourism crises and disasters research and promising future research lines.

This paper aims to investigate the relationship between global economic fluctuations and human development through four transmission channels (foreign direct investment (FDI), official development aid (ODA), remittances and export earnings) in Egypt as an open developing economy, in the period 1990–2015.

The paper uses a vector autoregressive model, which implies examining the impulse response functions and variance decompositions.

The results indicate that human development is negatively affected by global economic fluctuations through the four channels, namely, ODA, FDI, export earnings and remittances. In addition, the most effective transmission channels are FDI in the short run and export earnings in the long run.

While a large body of literature addresses the direct impact of business cycles and economic shocks on human development, only some studies focus on the indirect impact. The contribution is to identify the indirect impact of global economic fluctuations on human development in a developing economy, considering four transmission channels and to determine the most important of these channels. Moreover, using the human development index is an addition in this paper as most previous literature depends on other human development indicators such as children’s health, employment and schooling.

This paper investigates how the global financial crisis changes the effects of state ownership and foreign ownership on corporate cash holdings in an emerging market.

We employ an interactive term between state ownership (foreign ownership) and a crisis dummy to analyze how the global financial crisis determines the effect of state ownership (foreign ownership) on corporate cash holdings.

With a research sample including 5,493 observations from 621 listed firms over the period 2007–2017, we find that state ownership (foreign ownership) is negatively (positively) related to corporate cash holdings and the effect of state ownership (foreign ownership) is stronger (weaker) during the crisis period. Moreover, the increase in the effect of state ownership is larger in financially unconstrained firms.

Prior research shows that the effects of state ownership and foreign ownership on corporate cash holdings in emerging markets are still debatable. This paper extends this line of research by investigating how the global financial crisis – an exogenous shock – changes these effects.

This paper aims to examine Nigeria’s dynamic output and output volatility connectedness with USA, China and India using quarterly data from 1981Q1 to 2019Q4.

The study adopted the network approach of Diebold and Yilmaz (2014) and used the normalized generalized forecast error variance decomposition from an underlying vector error correction model to build connectedness measures.

The findings show that the global financial crisis (GFC) increased the connectedness index far more than the 2016 Nigeria economic recession. The moderate effect of the 2016 Nigeria economic recession on the connectedness index underscores the fact that Nigeria is a small, open economy with minimal capacity to spread output shock. For both real output and its volatility, the total connectedness index rose smoothly and systematically through time, thereby leaving the economies more connected in the long run.

To the best of the authors’ knowledge, this paper is among the first to examine Nigeria’s dynamic output and output volatility connectedness with the USA, China and India using new empirical insights from the GFC versus 2016 Nigerian recession. The study, therefore, concludes that the Nigerian economy should be diversified immediately as a hedge against future real output shocks, while the USA, China and India should maintain and sustain their current policy frameworks to remain less vulnerable to real output shocks.

The world has seen significant level of emergence of the developing nations over the years. But the world has been going through certain economic crises – be it the worldwide recession of 2008 – that had a worldwide impact, be it the ongoing depression in economic activities since 2018–2019 due to several economic issues. Under these circumstances, how far these developing nations have been able to cope up with is an issue of worry. Can they overcome these depressions or recessions and get on the sustainable path of progress again and compete at par with the developed nations? In this chapter, we have used multiple regression analysis to analyse how far and to what extent these recessions have had impact on the exchange rates (ERs) and other important variables, including growth, of the selected eight developing nations. By taking ER as our dependent variable and five important macroeconomic indicators as regressors, we have checked if the recession caused any structural breaks in these economies or not. We have found the significant impact of gross domestic product (GDP), inflation and trade balance on ER, while the effects of net foreign direct investment (FDI) and rate of interest were not significant. By applying Chow test, we have seen that there is existence of structural breaks in these economies over the period of 2007–2010. These breaks can be attributed to the global recession as well as economic activities prior to the recession. We have also conducted few diagnostic tests to prove the robustness of our analysis.

This paper aims to examine the dynamic spillover effects and network connectedness between the oil prices and the Islamic and conventional financial markets in the Gulf Cooperation Council countries. The focus is on network connectedness during the 2008–2009 global financial crisis, the 2014–2016 oil crisis and the COVID-19 pandemic. The authors use daily data covering the period from January 1, 2007 to April 14, 2022.

This study applies a spillover analysis and connectedness network to investigate the risk contagion among the Islamic and conventional stock–bond markets. The authors rely on Diebold and Yilmaz’s (2012, 2014) methodology to construct network-associated measures.

The results suggest that overall connectedness among financial market uncertainties increased during the global financial crisis, the oil price collapse of 2014–2016 and the COVID-19 crisis. In addition, the authors show that the contribution of oil shocks to the financial system is limited, as the oil market was a net receiver during the 2014 oil shock and the COVID-19 crisis. On the other hand, the Islamic and conventional stock markets are extensive sources of network effects on the oil market and Islamic and conventional bond markets. Furthermore, the authors found that the Sukuk market was significantly affected by the COVID-19 pandemic, whereas the conventional and Islamic stock markets were the highest transmitters of shocks during the COVID-19 pandemic outbreak. Moreover, oil revealed a weak connectedness with the Islamic and conventional stock markets during the COVID-19 health crisis, implying that it helps provide diversification benefits for international portfolio investors.

This study contributes to this field by improving the understanding of the effect of fluctuations in oil prices on the dynamics of the volatility connection between oil and Islamic and conventional financial markets during times of stress through a network connectedness framework. The main results of this study highlight the role of oil in portfolio allocation and risk minimization when investing in Islamic and conventional assets.

This study aims to examine the impact of the COVID-19 pandemic on corporate tax avoidance (TA).

This study used a panel data set of US publicly traded firms listed in the Standard & Poor 500 index. Based on available information in the DATASTREAM database covering the 2019–2021 period, three proxies for TA are used, namely the current effective tax rate (CUETR), the cash effective tax rate and book-tax differences (BTD). Multiple regression models including industry and year fixed effects are estimated. Additional analyses are performed using BTD components i.e. temporary and permanent BTD, and testing the impact of the COVID-19 pandemic across industries.

The results show that the outbreak of the novel coronavirus (COVID-19) affected positively the CUETRs and negatively BTD, indicating a reduction in TA, in the postpandemic period. Further analyses provide evidence that this effect is the same, regardless of the degree of industry failure probability, but it is more driven by the reduction of deferred tax expenses (temporary BTD component). These findings suggest that the US publicly listed firms have experienced a serious drop in their income in the postpandemic period, following the markets closure and the quarantine periods that hampered business. Therefore, with lower profits, they are not willing to evade taxes.

This paper enriches taxation research during economic crises. The research findings have important policy implications. On the one hand, the fiscal policy should stimulate growth to allow firms to tackle the challenges they confronted post-COVID-19. On the other hand, the global economic crisis caused by the pandemic has led to a major deterioration in public finances and has raised inequalities across households. Therefore, it would be necessary to review public fiscal policies to achieve a balance of equity, growth and sustainability. In this context, tax reform focusing on tax progressivity could counter in part the negative economic effects of the COVID-19 pandemic and led to economy recovery.

This study contributes to the growing body of literature on the COVID-19 effects with a special focus on corporate practices. This study provides first evidence on the effect of the COVID-19 pandemic on manager’s behavior from taxation perspective. This study also enriches taxation research during economic crises.

Despite the growing recognition of the complex interplay between macroeconomic shock indexes and stock market dynamics, there is a significant research gap concerning their interconnectedness and return spillovers in the context of the African stock market. This leaves much to be desired, given that the financial market in Africa is arguably one of the most preferred destinations for hedge and portfolio diversification (Alagidede, 2008; Anyikwa and Le Roux, 2020). Further, like other financial markets across the globe, the increased capital flow, coupled with declining information asymmetry in Africa, has deepened intra and inter-sectoral integration within and across national borders. This has, thus, increased the susceptibility of financial markets in Africa to spillover of shocks from other sectors and jurisdictions. Additionally, while previous studies have investigated these factors individually (Asafo-Adjei et al., 2020), with much emphasis on developed markets, an all-encompassing examination of spillovers and the connectedness between the aforementioned macroeconomic shock indexes and stock market returns remains largely unexplored. This study happens to be the first to consider the impact of each of the indexes on stock returns in Africa, with evidence spanning from May 2007 to April 2023, covering notable global crisis episodes such as the Global Financial Crisis (GFC), the COVID-19 pandemic and the Russia–Ukraine war.

This study employs the novel quantile vector autoregression (QVAR) model, making it the first of its kind in literature. By applying the QVAR, the study captures the potential nonlinear and asymmetric relationship between stock returns and the factors of interest across different quantiles, i.e. bearish, normal and bullish market conditions. Thus, the approach allows for a more accurate and nuanced examination of the tail dependence and extreme events, providing insights into the behaviour of the variables under extreme events.

The study revealed that connectedness and spillovers intensified under bearish and bullish market conditions. It was also observed that, among the macroeconomic shock indicators, FSI exerted the highest influence on stock returns in Africa in both bullish and normal market conditions. Across the various market regimes, the Egyptian Exchange (EGX) and the Nairobi Stock Exchange (NSE) were net receiver of shocks.

This study happens to be the first to consider the impact of each of the indexes on stock returns in Africa, with evidence spanning from May 2007 to April 2023, covering notable global crisis episodes such as the GFC, the COVID-19 pandemic and the Russia–Ukraine war. On the methodology front, this study employs the novel QVAR model, making it one of the few studies in recent literature to apply the said method.