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In this paper the interconnectedness among financial institutions and the level of systemic risks of four types of Chinese financial institutions are investigated.

By the means of RAS algorithm, the interconnection among financial institutions are illustrated. Different methods, including Linear Granger, Systemic impact index (SII), vulnerability index (VI), CoVaR, and MES are used to measure the systemic risk exposures across different institutions.

The results illustrate that big banks are more interconnected and hold the biggest scales of inter-bank transactions in the financial network. The institutions which have larger size tend to have more connection with others. Insurance and security companies contribute more to the systemic risk where as other institutions, such as trusts, financial companies, etc. may bring about severe loss and endanger the financial system as a whole.

Since other institutions with low levels of regulation may bring about higher extreme loss and suffer the whole system, it deserves more attention by regulators considering the contagion of potential risks in the financial system.

This study builds a valuable contribution by examine the systemic risks from the perspectives of both interconnection and tail risk measures. Furthermore; Four types financial institutions are investigated in this paper.

In this paper, we search to evaluate the systemic risk of the Moroccan banking sector. Indeed, we concentrate on the analysis and the evaluation on transverse dimension of the systemic. From this point of view, two approaches were used. First is based on the estimate on value at risk conditional allowing to measure the systemic importance of each banking institution. In addition, the second approach uses the heteroscedasticity models in order to consider the conditional correlations, making it possible, to measure the dependence between the Moroccan banks and with the whole of the financial system. The results obtained with through these two approaches confirm that ATW, BMCI and the BMCE are the most systemic banks in Moroccan banking system and who can initiate a systemic crisis. On another register and by using the conditional correlations of each bank we built an index of systemic risk. Moreover, a macrofinancial model was developed, connecting the index of the systemic risk and the principal macroeconomic variables. This model affirmed that the contagion dimension of systemic risk is procyclical.

Lessons from the most recent financial crisis show specific vulnerabilities of financial markets due to weaknesses in the structure of the financial system (structural fragility). As the literature points out, the impact of systemic risk can be closely related to issues of concentration (“too big to fail”) and dependency (“too connected to fail”). However, different structural variables are emphasized in various ways, and most authors analyze each variable separately. This raises the questions of how structural fragility, as a cause of systemic distress, can be assessed more comprehensively and consistently, and what the implications are for modeling it within an integrated systemic risk framework. This paper seeks to address these issues.

On the basis of theoretical considerations and in the light of current transformations in financial markets, this paper explores elements of structural fragility and the requirements for modeling them.

The paper suggests an extended approach for conceptualizing structural fragility, evaluates directions for quantifying structural issues in early warning systems (EWSs) for systemic crises, and lays a theoretical groundwork for further empirical studies.

The need for supervisory actions to prevent crises is urgent, as is the need for integrating structural aspects into EWSs for systemic financial crises. Since a significant aspect of a financial firm's risk comes from outside the firm, individual institutions should understand and monitor the structural aspects of the various risk networks they are in.

This chapter proposes a measure of systemic default interconnectedness between banks, non-banks, housing finance companies in India and globally systemically important banks based on variance decompositions associated with a multiple variable vector autoregression of probability of default of the institutions. We call it the “vulnerability spillover index” (VSI). The vulnerability indices capture all the major macro and financial stress events in the Indian and global economy explaining the interconnections between sectors and underlying reasons for spillovers and potential for a systemic crisis. Thresholds of VSI are calculated which may enable prediction of financial stress events.

The authors provide a comprehensive study on systemic risk of the banking sectors in the ASEAN-6 countries. In particular, they investigate the systemic risk dynamics and determinants of 49 listed banks in the region over the 2000–2018 period.

The authors employ the market-based SRISK measure of Brownlees and Engle (2017) to investigate the systemic risk of the ASEAN-6's banking sectors.

The authors find that the regional systemic risk fluctuates significantly and currently at par or higher level than that of the recent global financial crisis. Systemic risk is generally associated with banks that have bigger size, more traditional business models, lower quality in their loan portfolios, less profitable and with lower market-to-book values. However, these relationships vary significantly between ASEAN countries.

The research focuses on the systemic risk of ASEAN-6 countries. Therefore, the research results may lack generalizability to other countries.

The authors’ empirical evidence advocates the use of capital surcharges on the systemically important financial institutions. Although the region has been pushing to higher financial integration in recent years, the authors encourage the regional regulators to account for the idiosyncratic characteristics of their banking sectors in designing effective macroprudential policy to contain systemic risk.

This paper provides the first study on the systemic risk of the ASEAN-6 region. The empirical evidence on the drivers of systemic risk would be of interest to the regional regulators.

The purpose of this paper is to show how network analysis can be used for effective cross‐border financial surveillance, which requires the monitoring of direct and indirect systemic linkages.

This paper illustrates how network analysis could make a significant contribution in this regard by simulating different credit and funding shocks to the banking systems of a number of selected countries. After that, the authors show that the inclusion of risk transfers could modify the risk profile of entire financial systems, and thus an enriched simulation algorithm able to account for risk transfers is proposed.

Finally, the authors discuss how some of the limitations of the simulations are a reflection of existing information and data gaps, and thus view these shortcomings as a call to improve the collection and analysis of data on cross‐border financial exposures.

This paper is one of the very few to take a cross‐border perspective on financial networks. It is also unique in accounting for risk transfers and in proposing a methodology to include the analysis (and monitoring) of risk transfers into a network model.

The purpose of this paper is to discuss and provide new data and measures of bank regulatory and supervisory policies in 180 countries from 1999 to 2011.

The authors' approach is based upon the quantification of hundreds of questions, including information on permissible bank activities, capital requirements, the powers of official supervisory agencies, information disclosure requirements, external governance mechanisms, deposit insurance, barriers to entry, and loan provisioning, to form indices of key bank regulatory and supervisory policies.

It is found that the regulation and supervision of banks varies widely across countries in many different dimensions. Furthermore, there has not been a convergence in bank regulatory regimes over the past decade despite the worst global financial crisis since the Great Depression.

The data are based on survey responses and this requires that the answers be accurate. To better ensure this is the case, several checks were made to ensure greater accuracy in all the answers. Using this database one can perform various statistical analyses in attempt to determine which bank regulatory regimes work best to promote well‐functioning banking systems.

The authors' data and measures are new and unique so as enable policy makers and researchers to examine cross‐country comparisons and analyses of changes in banking policies over time.

Purpose – To discuss, from the perspective of developing countries, recent proposals for reforming international standards for bank capital requirements.

Methodology/approach – After evaluating, from the viewpoint of developing countries, the effectiveness of capital requirements reforms and progress in implementing existing regulatory accords, the chapter discusses the procyclical effects of Basel regimes, and suggests a reform proposal.

Findings – Minimum bank capital requirements proposals in developing countries should be complemented by the adoption of an incremental, size-based leverage ratio.

Originality/value of chapter – This chapter contributes to enlarge the academic and policy debate related to bank capital regulation, with a particular focus on the situation of developing countries.

Central clearing counterparties’ (CCPs) specific loss allocation mechanism is reflected in the specific resolution regime designed at the international level. At the same time, international guidance texts require equity to bear losses first in resolution. This creates a tension that immediately exposes resolution authorities to potential claims from CCPs’ shareholders. The purpose of this paper is to seek possible options to solve that tension, thereby enabling a workable and credible resolution regime for CCPs.

The paper analyses the current tension between the no creditor worse-off (NCWO) counterfactual for CCPs and the “equity bears first losses in resolution” principle. It then considers six different options to solve this tension, ranging from a revision of insolvency law to the modification of the loss-allocation structure.

The paper concludes that additional layers of capital contribution, adapting the contractual arrangements or articles of incorporation and/or the creation of a specific NCWO counterfactual for shareholders could help in solving the identified tension.

The paper presents options on how to design a workable and credible resolution regime for CCPs that would enable resolution authorities to exercise their powers and have the flexibility to intervene at an early stage in recovery to prevent the exhaustion of available financial resources, without being unduly exposed to claims.

The paper contributes to the literature on CCP resolution. It is one of the first to analyse the articulation between the loss-allocation structure of CCPs, the NCWO principle and shareholders’ rights. We hope that this paper will encourage further literature to develop on this important subject.

The paper models the financial interconnectedness and systemic risk of shadow banks using Granger-causal network-based measures and takes the Indian shadow bank crisis of 2018–2019 as a systemic event.

The paper employs pairwise linear Granger-causality tests adjusted for heteroskedasticity and return autocorrelation on a rolling window of weekly returns data of 52 financial institutions from 2016 to 2019 to construct network-based measures and calculate network centrality. The Granger-causal network-based measure ranking of financial institutions in the pre-crisis period (explanatory variable) is rank-regressed with the ranking of financial institutions based on maximum percentage loss suffered by them during the crises period (dependent variable).

The empirical result demonstrated that the shadow bank complex network during the crisis is denser, more interconnected and more correlated than the tranquil period. The closeness, eigenvector, and PageRank centrality established the systemic risk transmitter and receiver roles of institutions. The financial institutions that are more central and hold prestigious positions due to their incoming links suffered maximum loss. The shadow bank network also showed small-world phenomena similar to social networks. Granger-causal network-based measures have out-of-sample predictive properties and can predict the systemic risk of financial institutions.

The study considers only the publicly listed financial institutions. Also, the proposed measures are susceptible to the size of the rolling window, frequency of return and significance level of Granger-causality tests.

Supervisors and financial regulators can use the proposed measures to monitor the development of systemic risk and swiftly identify and isolate contagious financial institutions in the event of a crisis. Also, it is helpful to policymakers and researchers of an emerging economy where bilateral exposures' data between financial institutions are often not present in the public domain, plus there is a gap or delay in financial reporting.

The paper is one of the first to study systemic risk of shadow banks using a financial network comprising of commercial banks and mutual funds. It is also the first one to study systemic risk of Indian shadow banks.