Tail dependence and indicators of systemic risk for large US depositories

In this study, we investigate the extreme loss tail dependence between stock returns of large US depository institutions. We find that stock returns exhibit strong loss dependence even in their limiting joint extremes. Motivated by this result, we derive extremal dependence-based systemic risk indicators. The proposed systemic risk indicators reflect downturns in the US financial industry very well. We also develop a set of firm-level average extremal dependence measures. We show that these firm-level measures could have been used to identify the firms that were more vulnerable to the 2007–2008 financial crisis. Additionally, we explore the performance of selected systemic risk indicators in predicting the crisis performance of large US depository institutions and find that the average stock return correlations are also good predictors of crisis period returns. Finally, we identify factors predictive of extremal dependence for the US depository institutions in a panel regression setting. Strength of extremal dependence increases with asset size and similarity of financial fundamentals. On the other hand, strength of extremal dependence decreases with capitalization, liquidity, funding stability and asset quality. We believe the proposed indicators have the potential to inform the prudential supervision of systemic risk.     

Multilayer networks in the frequency domain: Measuring extreme risk connectedness of Chinese financial institutions

We propose multilayer networks in the frequency domain, including the short-term, medium-term, and long-term layers, to investigate the extreme risk connectedness among financial institutions. Using the conditional autoregressive value at risk (CAViaR) tool to measure the extreme risk of financial institutions, we construct extreme risk networks and inter-sector extreme risk networks of 36 Chinese financial institutions through the proposed approach. We observe that the extreme risk connectedness across financial institutions is heterogeneous in the short-, medium-, and long-term. In general, the long-term connectedness among financial institutions rises sharply during times of financial stress, such as the 2015 Chinese stock market turbulence and the 2020 COVID-19 pandemic. Moreover, we note that the insurers are key players in driving the inter-sector extreme risk networks, because the inter-sector systemic importance of insurance institutions is dominant. Finally, our conclusions provide valuable information for regulators to prevent systemic risk.     

Failed bank takeovers and financial stability

Current discussion about the design of bank resolution frameworks suggests that the takeover of a failed bank by an incumbent one has two effects on financial stability. First, the incumbent takeover may boost financial stability by providing bankers with incentives to be solvent so as to profit from their competitors’ failure. Second, the incumbent takeover may spoil financial stability by creating “Systemically Important Financial Institutions”. The innovation of this paper is to capture these two effects in a theoretical model. We show that when incumbent bankers are impatient enough (i.e., they have high discount rates), the second effect prevails over the first one. We discuss the implications of this result for the design of bank resolution policies.     

Contagious synchronization and endogenous network formation in financial networks

When banks choose similar investment strategies the financial system becomes vulnerable to common shocks. We model a simple financial system in which banks decide about their investment strategy based on a private belief about the state of the world and a social belief formed from observing the actions of peers. Observing a larger group of peers conveys more information and thus leads to a stronger social belief. Extending the standard model of Bayesian updating in social networks, we show that the probability that banks synchronize their investment strategy on a state non-matching action critically depends on the weighting between private and social belief. This effect is alleviated when banks choose their peers endogenously in a network formation process, internalizing the externalities arising from social learning.     

Measuring systemic importance of financial institutions: An extreme value theory approach

This paper proposes a set of market-based measures on the systemic importance of a financial institution or a group of financial institutions, each designed to capture different aspects of systemic importance of financial institutions. Multivariate extreme value theory approach is used to estimate these measures. Using six big Canadian banks as the proxy for Canadian banking sector, we apply these measures to identify systemically important banks in Canadian banking sector and major risk contributors from international financial institutions to Canadian banking sector. The empirical evidence reveals that (i) the top three banks, RBC Financial Group, TD Bank Financial Group, and Scotiabank, are more systemically important than other banks, while we also find that the size of a financial institution should not be considered as a proxy of systemic importance; (ii) compared to the European and Asian banks, the crashes of the U.S. banks, on average, are the most damaging to Canadian banking sector, while the risk contribution to the Canadian banking sector from Asian banks is quite lower than that from banks in the U.S. and euro area; (iii) the risk contribution to Canadian banking sector exhibits “home bias”, that is, cross-country risk contribution tends to be smaller than domestic risk contribution.     

Financial Development and Total Factor Productivity Growth: Evidence from China

Abstract

In this article, we estimate the effect of China’s regional financial development on total factor productivity (TFP) growth using large provincial panel data for the years 1990 to 2009. Using the nonparametric stochastic frontier data envelopment approach, we analyze how financial development is related to efficiency improvement and technological progress, the two components of TFP. The study shows that Chinese financial development plays a significant role in promoting TFP growth via technological progress rather than efficiency change. The faster the financial development takes place, the better it could correct the mismatch of resource allocation, thus promoting TFP growth. The results imply that China needs to both further optimize the allocation of financial resources and perfect the regional financial system.     

Financial Constraints,Institutions, and Firm Productivity: Evidence from China

ABSTRACT

This paper investigates whether Chinese firms utilize trade credit as an alternative financial intermediation to alleviate financial constraints, and whether trade credit matters for firm productivity. The results show that trade credit significantly affects firm productivity in private and foreign-owned firms but not state-owned enterprises, indicating that trade credit is an efficient financial intermediation for non-state firms. Second, trade credit better helps firms that have severe financial constraints grow. Third, the mechanism of trade credit and TFP is by the substitution effect of cash flow, the smoothing effect of working capital and the drive of innovation. Finally, the impact of trade credit on productivity is driven by the regions under a more institutionally developed environment.     

Digital financial inclusion and investment diversification: Evidence from China

We examine the impact of digital financial inclusion on the diversification of individual stock investments in China using nationwide data from the Chinese Stock Market Individual Investor Survey and the Peking University Digital Financial Inclusion Index of China. We show that digital financial inclusion significantly increases the diversification of individual stock investments, primarily by reducing investors' perceived transaction costs and mitigating investors' limited attention. It also plays a more significant role among investors with lower conventional financial development, lower financial literacy, below 45 years old, shorter investment experience and females. We recommend the continued promotion of digital financial inclusion to optimise asset allocation in Chinese households.     

Heterogeneous market structure and systemic risk: Evidence from dual banking systems

This paper investigates how banking system stability is affected when we combine Islamic and conventional finance under the same roof. We compare systemic resilience of three types of banks in six GCC member countries with dual banking systems: fully-fledged Islamic banks (IB), purely conventional banks (CB) and conventional banks with Islamic windows (CBw). We employ market-based systemic risk measures such as MES, SRISK and CoVaR to identify which sector is more vulnerable to a systemic event. We also compute weighted average GES to determine which sector is most synchronised with the market. Moreover, we use graphical network models to determine the most interconnected banking sector that can more easily spread a systemic shock to the whole system. Using a sample of observations on 79 publicly traded banks operating over the 2005–2014 period, we find that CBw is the least resilient sector to a systemic event, it has the highest synchronicity with the market, and it is the most interconnected banking sector during crisis times.     

Elimination of systemic risk in financial networks by means of a systemic risk transaction tax

Financial markets are exposed to systemic risk (SR), the risk that a major fraction of the system ceases to function, and collapses. It has recently become possible to quantify SR in terms of underlying financial networks where nodes represent financial institutions, and links capture the size and maturity of assets (loans), liabilities and other obligations, such as derivatives. We demonstrate that it is possible to quantify the share of SR that individual liabilities within a financial network contribute to the overall SR. We use empirical data of nationwide interbank liabilities to show that the marginal contribution to overall SR of liabilities for a given size varies by a factor of a thousand. We propose a tax on individual transactions that is proportional to their marginal contribution to overall SR. If a transaction does not increase SR, it is tax-free. With an agent-based model (ABM) (CRISIS macro-financial model), we demonstrate that the proposed ‘Systemic Risk Tax’ (SRT) leads to a self-organized restructuring of financial networks that are practically free of SR. The SRT can be seen as an insurance for the public against costs arising from cascading failure. ABM predictions are shown to be in remarkable agreement with the empirical data and can be used to understand the relation of credit risk and SR.     

European systemic credit risk transmission using Bayesian networks

The analysis of systemic credit risk is one of the most important concerns within the financial system. Its complexity lies in adequately measuring how the transmission of systemic default spreads through assets or financial markets. The transmission structure of systemic credit risk across several European sectoral CDS is studied by dynamic Bayesian networks. The new approach allows for a more advanced analysis of systemic risk transmission, including long-term and more complex relationships. The modelling reveals as relevant only relationships between the original series and one- and two-lagged series. Network structure learning displays a robust and stationary underlying risk transmission structure, pointing to a consolidated transmission mechanism of systemic credit risk between CDSs. Between 5 % and 40 % of sectoral CDS series variances are explained by the network relationships. The modelling allows us to ascertain which relationships between the CDS series show positive (amplifier) and negative (reducer) effects of systemic risk transmission.     

Hedge funds and financial stability: Regulating prime brokers will mitigate systemic risks

We review key characteristics of the hedge fund industry, and identify conditions under which this sector can pose a threat to financial stability. Direct regulation of hedge funds that increases transparency does not appear feasible, may create a moral-hazard problem, and may reduce market liquidity. Indirect regulation by prime brokers and market discipline by creditors, counterparties, and investors have been effective in limiting the risks from the hedge fund sector. To reduce systemic risks, more regulation of prime brokers is warranted to avoid competitive dynamics from undermining counterparty risk management practices.     

An analysis of the literature on systemic financial risk: A survey

This article presents an analysis of the literature on systemic financial risk. To that end, we analyze and classify 266 articles that were published no later than September 2016 in the databases Scopus and Web of Knowledge; these articles were identified using the keywords “systemic risk”, “financial stability”, “financial”, “measure”, “indicator”, and “index”. They were evaluated based on 10 categories, namely, type of study, type of approach, object of study, method, spatial scope, temporal scope, context, focus, type of data used, and results. The analysis and classification of this literature made it possible to identify the remaining gaps in the literature on systemic risk; this contributes to a future research agenda on the topic. Moreover, the most influential articles in this field of research and the articles that compose the mainstream research on systemic financial risk were identified.     

Market-specific and currency-specific risk during the global financial crisis: Evidence from the interbank markets in Tokyo and London

This paper investigates how international money markets reflected credit and liquidity risk during the global financial crisis. After matching the currency denomination, we examine how the Tokyo Interbank Offered Rate (TIBOR) was synchronized with the London Interbank Offered Rate (LIBOR). We find remarkably asymmetric responses in market-specific and currency-specific risk during the crisis. The regression results suggest that market-specific credit risk increased the difference across markets, whereas liquidity risk caused the difference across currency denominations. They also support the view that liquidity shortage of the US dollar occurred in international money markets during the crisis. Coordinated central bank liquidity provisions were useful in reducing the liquidity shortage of the US dollar, but their effectiveness was asymmetric across markets.     

Econometric measures of connectedness and systemic risk in the finance and insurance sectors

We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.     

Do institutions prevent contagion in financial markets? Evidence from the European debt crisis

ABSTRACT

The recent European Sovereign Debt Crisis brought in attention a number of structural problems in the European Union. Part of the effort to correct these problems in the countries that were mostly affected by the crisis were a number of policy responses from the European Union, the European Central Bank, the International Monetary Fund and the Local Governments. In this study, we attempt to assess the success of these responses to constrain the contagion of the crisis from the banking sector to the real economy sectors of the Eurozone countries. Our results show that policy announcements from the EU/ECB/IMF affect the transmission of shocks generated in the banking sector to the market. Moreover, policy responses of the national governments also seem to play a role in the contagion of the crisis.     

The multi-layer network nature of systemic risk and its implications for the costs of financial crises

The inability to see and quantify systemic financial risk comes at an immense social cost. Systemic risk in the financial system arises to a large extent as a consequence of the interconnectedness of its institutions, which are linked through networks of different types of financial contracts, such as credit, derivatives, foreign exchange, and securities. The interplay of the various exposure networks can be represented as layers in a financial multi-layer network. In this work we quantify the daily contributions to systemic risk from four layers of the Mexican banking system from 2007 to 2013. We show that focusing on a single layer underestimates the total systemic risk by up to 90%. By assigning systemic risk levels to individual banks we study the systemic risk profile of the Mexican banking system on all market layers. This profile can be used to quantify systemic risk on a national level in terms of nation-wide expected systemic losses. We show that market-based systemic risk indicators systematically underestimate expected systemic losses. We find that expected systemic losses are up to a factor of four higher now than before the financial crisis of 2007–2008. We find that systemic risk contributions of individual transactions can be up to a factor of one thousand higher than the corresponding credit risk, which creates huge risks for the public. We find an intriguing non-linear effect whereby the sum of systemic risk of all layers underestimates the total risk. The method presented here is the first objective data-driven quantification of systemic risk on national scales that reveal its true levels.     

Assessing financial instability: The case of Brazil

In this paper we use the arbitrage pricing theory to infer the probability of financial institution failure for banks in Brazil. We build an index of financial stability for Brazilian banks. Empirical results seem to provide evidence that after the Russian crisis in 1998, systemic risk has increased in the country but this risk has decreased over time through 2002. Furthermore, for individual major banks the probability of failure has decreased monotonically after the Russian crisis with the adoption of a floating exchange rate regime, an inflation-targeting framework and the introduction of the new payment system.