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This study is the first that aims to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.

Multiple spatial weight matrices can capture the contiguity of spatial units from various dimensions, which could be exploited to improve the precision of inference as well as prediction accuracy. To the best of the authors’ knowledge, this is the first study to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.

With network structure analysis, this study finds that they contain different information content from the perspective of graphical display, node strength and correlation. Developed and emerging countries all play major roles in trade connection, while only developed countries play major roles in financial linkage. Second, by applying the multidimensional SAR model, only the spatial autocorrelation coefficients for trade and financial linkages are significant during the full sample period, which is in sharp contrast to published studies using the SAR model with a single matrix. Third, the spillover channels that play major roles in various periods are different. Only trade channel plays a role during crisis periods and it is the most important. Fourth, the spatial correlation among countries greatly amplifies the shock’s impacts on one market. And spatial effect for developed countries is larger than those for emerging countries, while the mean spatial effect of a unit shock in the USA on emerging countries is slightly greater than that on developed countries.

Multiple spatial weight matrices can capture the contiguity of spatial units from various dimensions, which could be exploited to improve the precision of inference as well as prediction accuracy. To the best of the authors’ knowledge, this is the first study to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.

Purpose: This chapter presents a discussion of the COVID-19 global debt crisis.

Methodology: The chapter uses the discourse analysis method to identify the cause of the COVID-19 global debt crisis and suggests ways to overcome the crisis.

Findings: The chapter argues that the high debt incurred by many countries during the COVID1-19 pandemic, combined with tightening global financial conditions, led to a significant increase in global debt. The author suggests ideas to avert a debt crisis. It was argued that rich countries could forgive the debt owed to them by heavily indebted countries or consider interest repayment holidays, debt-for-green swaps, or other debt-relief options. Heavily indebted countries can consider restructuring their debt, reevaluating their economic policy priorities, and raising taxes. Multilateral organisations can assist heavily indebted countries and engage in debt forgiveness advocacy.

Implication: There is a need for rich countries and creditor organisations to offer some relief to heavily indebted countries to help them meet their debt repayment obligations during and after the pandemic.

Originality: The chapter is one of the first to analyse the global COVID-19 debt situation.

This paper explores whether the Euro-area sovereign credit default swap market is prone to contagion effects. It investigates whether the sharp increase in sovereign CDS spread of a given country is due to a deterioration of the macroeconomic variables or some form of contagion.

For this purpose, the authors use an innovative approach, i.e. spatial econometrics. Although modeling spatial dependence is an attractive challenge, its application in the field of finance remains limited.

The empirical findings show strong evidence of spatial dependence highlighting the presence of pure contagion. Furthermore, evidence of wake-up call contagion-increased sensitivity of investors to fundamentals of neighboring countries and shift contagion-increased sensitivity to common factors are well recorded.

This study aims to study a crucial financial issue that gained increased research interest, i.e. financial contagion. A methodological contribution is made by extending the standard spatial Durbin model (SDM) to analyze and differentiate between several forms of contagion. The results can be used to understand how shocks are spreading through countries.

This paper examines the relationship between sovereign credit default swaps (CDS) and several macroeconomic factors in an asymmetric setting and distinguishes between short-run and long-run impacts. Country-specific factors (e.g. equity index, international reserves, interest rate and industrial production) and global factors (e.g. US stock volatility [VIX], geopolitical risk and oil price) are the main explanatory variables.

This analysis uses a nonlinear autoregressive distributed lag approach that enables us to study both long-run and short-run dynamics.

This study results show that two country-specific factors (equity index and international reserves) and two global factors (VIX and oil price) are the most important factors and affect CDS asymmetrically.

The asymmetric relationships between sovereign CDS and variables in bull and bear markets can also be studied. Consideration of asymmetries in the variance could also be a fruitful step taken for further research.

The findings imply that investors and portfolio managers should design their investment and hedging decisions related to government bonds by taking into account the existence of an asymmetric relationship.

Moreover, policymakers can benefit from this asymmetric information in the timing of debt issuance.

This paper examines the relationship between sovereign CDS and several macroeconomic factors in an asymmetric setting and distinguishes between short-run and long-run impacts.

The scope of this research is to investigate performing loan efficiency for fifty European banks during the period 2008–2017.

The study is structured as a two-stage analysis of performing loan efficiency and its driving factors. In the first stage of the proposed methodology “Data Envelopment Analysis” is used to estimate performing loan efficiency for each bank included in the sample. A bootstrap statistical procedure enhances the findings. In the second stage, the impact of other factors on the efficiency scores of loan performance using tobit regression is investigated.

The results are consistent with the findings of the individual banks' financial analyses. According to the findings of DEA implementation, the evaluated banks may enhance their cost efficiency by 39% on average. In addition, the results indicate that loan efficiency performance improves after 2015, coinciding with the business cycle's upward trend. The tobit regression is employed in the second stage to examine the influence of bank-related and macroeconomic factors on banks' loan management efficiency. According to the findings of the tobit regression, three factors, namely the capital adequacy ratio, GDP per capita and managerial inefficiency, have a substantial influence on performing loan efficiency.

This research investigates the effectiveness of European economic policy in protecting the European banking system from the consequences of the sovereign debt crisis in several euro area members. The results highlight the distance of the Eurozone from the level of the ‘optimal currency area’.

Before the pandemic, World’s public debt was considered excessive, mainly by the standards set by the IMF, the European Union and the euro zone. Today, with the pandemic COVID-19, the world economy is facing an economic crisis that only the public authorities can contain, at least in the short term. In France, the Arthuis Commission is proposing to control public debt and return to debt reduction by the end of this decade. However, the economic stakes go beyond the crisis caused by the pandemic. It is also a question of preparing a different society, one that is less unequal and capable of engaging in sustainable economic development in the face of global warming. The concern is more about the excesses of international financial speculation, growing social inequalities and living conditions on Earth, which threaten the economic and social future of new generations much more than public debt.

This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.

Life insurance is bought with a prior belief that promise stipulated in policy will be honored when due. Discernibly, this belief is backed by the confidence that financial markets and economy will demonstrate satisfactory performance. However, individuals' confidence levels may get shaken through naïve reinforcement learning if they witness negative market or economic condition. Considering this the authors investigate the relationship between investor confidence and life insurance demand.

The authors used bias corrected bootstrapped sample of OECD economies to examine the link between investor confidence and life insurance demand when two possible economic conditions were witnessed: 1) normal/economic expansion and 2) economic/debt impairment. The findings are robust to alternate estimation techniques and endogeneity.

The authors found that lower investor confidence, sovereign debt impairment and negative market condition will have negative repercussion on life insurance demand. On the other hand, investor confidence-life insurance demand nexus is merely influenced by market and economic condition.

This is a premier research explaining the nexus between investor confidence and life insurance demand in the context of life-cycle hypothesis, sovereign ratings channel and experience-confidence-belief framework. The finding will help economic policy-makers in developing pre-emptive measures to protect life insurance businesses from negative repercussions of lower confidence and negative market conditions.

The COVID19 crisis has thrown wide open the debate on Europe’s Economic and Monetary Union’s (EMU) future. Next Generation EU (NGEU) has broken the stalemate over a central fiscal capacity. The open question is whether NGEU is a one-off or a first step. The suspension of the Stability and Growth Pact has given new urgency to the debate on reforming EMU’s fiscal rules.

There is no debate as yet about how these two prospects relate to each other. This paper argues that a permanent fiscal capacity and revised rules should be seen as alternatives.

This study makes two claims: first, a fiscal capacity renders a reformed pact unnecessary and second, that is an optimal solution politically. A fiscal capacity would provide an efficient asymmetric shock absorber and therefore reduce the need for pre-emptive action against negative cross-border externalities. It would also provide an abundant supply of an EU-wide safe asset around which to structure the EU’s financial system, thus rendering unnecessary the backstopping of member states' debts.

This would restore democratic accountability while eliminating moral hazard and enforcement problems.