Research on China's financial systemic risk contagion under jump and heavy-tailed risk

To accurately measure the dynamic characteristics of systemic risk contagion under the impact of extreme financial events, we construct a research framework that analyzes the contagion dynamics of systemic risk under extreme risk impact from the perspectives of both time and space. Based on the macro-jump CCA method, this paper extracts the heterogeneous volatility sequence of financial industries considering the thick tail of the distribution of financial assets returns. Then, the dynamic variation of systemic risk in the financial sectors is characterized from the time dimension. The volatility spillover network method is used to examine the spillover contagion of systemic risk among financial system sectors from the spatial dimension. Empirical studies have found that when considering the risk contagion level, the capital market service sector plays a risk‑leading role, followed by the currency service sector and the insurance sector. The measurement indicators that consider the jump risk and the tail risk have good early warning effects on extreme financial events. Seen from the spatial direction of risk spillover, the real estate sector exhibits the most obvious risk spillover effect on other sectors and can be regarded as the source of systemic risk, which suggests differentiated regulation.     

Contagion risk in the Australian banking and property sectors

The Australian banking system emerged from the global crisis virtually unhurt, with most banks still profitable, adequately capitalized, and with AA credit ratings. Are there any risks or vulnerabilities in this success story? This paper analyzes Australia’s systemic banking risk and attempts to determine if this risk increased with the recent global crisis and whether this risk is related to the downturn experienced in the real estate market. We use extreme value theory to measure banks’ and property firms’ univariate Value at Risk, as well as multivariate intra-sector and inter-sector contagion risks. Of the 13 sectors analyzed, we find that the property sector exhibits the highest level of extremal dependence with the banking sector. The credit crisis significantly increased the probability of a bank or property firm crashing. Moreover, contagion risks significantly increased not only within the banking and property sectors, but also between those sectors.     

Dynamic Linkages Among U.S. Real Estate Sectors Before and After the Housing Crisis

This study explores the dynamic nature of linkages among seven key real estate sectors which include residential, health, lodging-resort, storage, office, retail and industrial. Long-run results reveal evidence of increased integration and contagion across the real estate sectors in the wake of the housing crisis. Short-run analyses suggest bi-directional causality and indicate that shocks to one real estate sector have a much more severe and persistent impact on other real estate sectors during the post-crisis period in comparison to the pre-crisis period. Finally, ripple effects are observed across the real estate sectors with shocks emanating from the ``dominant” residential sector and spilling over to other real estate sectors.

     

Deconstructing the Nasdaq bubble: A look at contagion across international stock markets

Share prices for the technology, media, and telecommunication (TMT) sector experienced phenomenal growth and decline at the turn of this century in the U.S. and many other OECD economies. We investigate whether contagion occurred from the U.S. to other international stock markets after the Nasdaq bubble collapsed. Results document a significant structural break in comovements between the international TMT sectors, and suggest that the collapse of the stock market in more than a dozen countries is tied to close sectoral links (particularly in TMT), and cannot be attributed to widespread contagion. We also show the importance of modeling the intrinsic heteroskedasticity in the data using a GARCH framework for inferences on contagion.     

Credit contagion in the presence of non-normal shocks

We generalize existing structural credit risk models that account for contagion effects across economic sectors, to capture the impact of neglected skewness and excess kurtosis in the asset return process, on the shape of the credit loss distribution. We specify Skew-Normal and Skew-Student t densities for the underlying asset return process and estimate the derived credit loss density using sector default rates based on proprietary data from the Central Bank of Mexico for six firm sectors. We show that, out of the six sectors analyzed, there is a significant contagion effect in ‘Commerce’, ‘Services’ and ‘Transport’. Moreover, we show that the non-Gaussian modelling of the common factor provides a better characterization than its Gaussian counterpart for the ‘Services’ sector. This result has a significant impact on the shape and the corresponding Value-at-Risk levels of the ‘Services’ credit loss distribution. In this context, traditional Basel and vendor-based credit risk models are inadequate as these do not consider the individual or the joint impact of contagion and non-Gaussian asset returns.     

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.     

Financial contagion and the real economy

This paper studies the spread of the Global Financial Crisis of 2007–2009 from the financial sector to the real economy by examining ten sectors in 25 major developed and emerging stock markets. The analysis tests different channels of financial contagion across countries and sectors and finds that the crisis led to an increased co-movement of returns among financial sector stocks across countries and between financial sector stocks and real economy stocks. The results demonstrate that no country and sector was immune to the adverse effects of the crisis limiting the effectiveness of portfolio diversification. However, there is clear evidence that some sectors in particular Healthcare, Telecommunications and Technology were less severely affected by the crisis.     

Dependence patterns among Asian banking sector stocks: A copula approach

Asian banks have recorded 22 banking crisis between 1945 and 2008 and its total share of years in a banking crisis since 1945 is 12.4%, the highest compared to all regions. Interestingly, most of the financial institutions in the region remained largely unscathed during the recent global financial crisis, mainly due to their strong liquidity and capital buffers. Yet, given the episodes of past crisis, the rapid increase in regional corporations and cross-border flows in the region, as well as the paramount importance of the banking sector in the Asian region, it is interesting to study how the banking sectors in the various economies co-move with each other. Against this backdrop, we examine the dependence structure between banking sectors in the region using copula functions. Several findings are documented. First, average dependence generally remain at moderate levels, though dependence between the banking sectors of the developed Asian markets are relatively higher than the emerging markets. Second, we find evidence of asymmetric dependence, suggesting that banking sector returns co-movement varies in bearish and bullish markets. Third, our results show a mild increase in the bivariate dynamic correlations during crisis periods, indicating very limited risk of contagion. Our results provide significant implications for portfolio managers and policymakers.     

No Contagion, Only Interdependence: Measuring Stock Market Comovements

Heteroskedasticity biases tests for contagion based on correlation coefficients. When contagion is defined as a significant increase in market comovement after a shock to one country, previous work suggests contagion occurred during recent crises. This paper shows that correlation coefficients are conditional on market volatility. Under certain assumptions, it is possible to adjust for this bias. Using this adjustment, there was virtually no increase in unconditional correlation coefficients (i.e., no contagion) during the 1997 Asian crisis, 1994 Mexican devaluation, and 1987 U.S. market crash. There is a high level of market comovement in all periods, however, which we call interdependence.     

Banking Market Structure, Financial Dependence and Growth: International Evidence from Industry Data

This paper explores the empirical relevance of banking market structure on growth. There is substantial evidence of a positive relationship between the level of development of the banking sector of an economy and its long-run output growth. Little is known, however, about the role played by the market structure of the banking sector on the dynamics of capital accumulation. This paper provides evidence that bank concentration promotes the growth of those industrial sectors that are more in need of external finance by facilitating credit access to younger firms. However, we also find evidence of a general depressing effect on growth associated with a concentrated banking industry, which impacts all sectors and all firms indiscriminately.     

Capture the contagion network of bitcoin – Evidence from pre and mid COVID-19

COVID-19 is the first global scale crisis since the inception of Bitcoin. We compare the contagion phenomenon of Bitcoin and other financial markets or assets pre and during the COVID-19 shock in both contemporaneous and non-contemporaneous manner. This paper uses the directed acyclic graph (DAG), spillover index, and network topology to provide strong evidence on the directional contagion outcomes of Bitcoin and other assets. The empirical results show that the contagion effect between Bitcoin and developed markets is strengthened during the COVID-19 crisis. Particularly, European market has a dominant role. Excluding Bitcoin’s own shocks, United State and European markets are the main contagion sources to Bitcoin. European market also works as a intermediary to deliver infectious from United State and market fear. The findings show that gold always has contagion effect with Bitcoin, while gold, US dollar and bond market are the contagion receivers of Bitcoin under the shock of COVID-19. The empirical results further proved the safe haven, hedge and diversifier potential of Bitcoin in economic stable time, but also shows that the sustainability of these properties is undermined during the market turmoil.     

基于房地产市场的我国系统性金融风险测度与预警研究

本文阐释了基于房地产市场的系统性金融风险形成机制,据此建立了分阶段、跨部门的房地产市场的系统性金融风险网络模型,并运用2006-2017年16家上市银行数据,分析和测度了我国房价大幅下跌所引发的系统性金融风险水平和结构,构建了基于房地产市场的系统性金融风险预警指标并进行测算。研究发现:在房价下跌30%的压力情景下,我国金融体系的潜在总损失总体呈级数式上升,年均增长22.70%;基于房地产市场的系统性金融风险值(SR)呈现先上升后波动下降的总体趋势;系统性金融风险(SR)的脆弱性指标(FLI)整体呈现波浪式振荡变化,且与房地产贷款/权益整体呈反向变动,系统性金融风险(SR)的传染性指标(CTI)在2012-2017年呈持续下降趋势,且与金融市场压力指数、金融机构间资产占总资产比重呈现出高度的一致性变化趋势。最后,基于房地产市场的系统性金融风险预警指标(SRWI)值呈收敛式振荡走势,表明基于房地产市场的系统性金融风险总体可控且呈收敛式下降。     

Stock market risk in the financial crisis

In this paper, we look at the effect of the financial crisis from an angle overlooked to date in the finance literature by investigating composition effects arising from the financial crisis. A composition effect is a change in the market risk of a sector that is caused not by a direct change in that sector but by a change in another sector that affects the composition of the stock market. In the paper we investigate the pre and during crisis market risk of the industrial, banking and utilities sectors. Amongst other results, we find a positive relationship across the G12 countries between the increase in the market risk of industrials during the crisis and both the pre-crisis market risk of the banking sector and the scale of the systemic crisis in a country. The six G12 countries that experienced a major systematic banking crisis are amongst the seven countries with the largest increases in the market risk for industrials. Results drawn from our detailed analysis using US data are consistent with these findings. Finally, we show how the results add to our understanding of the linkages between the financial and real sector and conclude that composition effects of the financial crisis could have a significant chilling effect on investment in industrials, which is in addition to the effect of other linkages already documented.     

Time-varying co-movements and volatility spillovers among financial sector CDS indexes in the UK

This article investigates co-movements and volatility spillovers between the three UK financial sector CDS indexes over time. We find sharp increases in the dynamic conditional correlations for all pairs after the Lehman shock, indicating evidence of contagion, and decreases for two pairs (banking-life insurance and life insurance-other financial) after the zenith of the European debt crisis, implying the emergence of diversification opportunities. Dynamic spillover index measures suggest that, although the banking sector was a dominant net transmitter of volatility, other financial sectors also became net transmitters for some periods, highlighting the importance of appropriate regulation of these two sector areas.     

Non-banks contagion and the uneven mitigation of climate risk

This paper develops a framework for the short-term modelling of market risk and shock propagation in the investment funds sector, including bi-layer contagion effects through funds’ cross-holdings and overlapping exposures. Our work tackles chiefly climate risk, with a first-of-its-kind dual view of transition and physical climate risk exposures at the fund level. So far, while fund managers communicate more aggressively about their awareness of climate risk, it is still poorly assessed. Our analysis shows that the topology of the fund network matters and that both contagion channels are critical in its study. A stress test based on granular short-term transition shocks suggests that the differentiated integration of sustainability information by funds has made network amplification less likely, although first-round losses can be material. On the other hand, there is room for fund managers and regulators to consider physical risk better, and mitigate the second-round effects it induces, as these are less efficiently absorbed by investment funds. Improving transparency and setting relevant industry standards in this context would help mitigate short-term financial stability risks.     

基于房地产市场的我国系统性金融风险测度与预警研究

本文阐释了基于房地产市场的系统性金融风险形成机制,据此建立了分阶段、跨部门的房地产市场的系统性金融风险网络模型,并运用2006-2017年16家上市银行数据,分析和测度了我国房价大幅下跌所引发的系统性金融风险水平和结构,构建了基于房地产市场的系统性金融风险预警指标并进行测算。研究发现:在房价下跌30%的压力情景下,我国金融体系的潜在总损失总体呈级数式上升,年均增长22.70%;基于房地产市场的系统性金融风险值(SR)呈现先上升后波动下降的总体趋势;系统性金融风险(SR)的脆弱性指标(FLI)整体呈现波浪式振荡变化,且与房地产贷款/权益整体呈反向变动,系统性金融风险(SR)的传染性指标(CTI)在2012-2017年呈持续下降趋势,且与金融市场压力指数、金融机构间资产占总资产比重呈现出高度的一致性变化趋势。最后,基于房地产市场的系统性金融风险预警指标(SRWI)值呈收敛式振荡走势,表明基于房地产市场的系统性金融风险总体可控且呈收敛式下降。     

An empirical assessment of reinsurance risk

We analyse the effect of failing reinsurance cover on the stability of Dutch insurers. As insurers often reinsure themselves with other (re)insurers, a firm's loss could spread contagiously through the sector. Using a unique and confidential data set on reinsurance exposures, we gain insight into the reinsurance market structure and perform a scenario analysis to measure contagion risks. Considering entities on a standalone basis, we find no evidence of systemic risk in the Netherlands, even if multiple reinsurance companies fail simultaneously. At group level our analysis points to the contagion risk of in-house reinsurance structures, given that such in-house reinsurance parties are generally not higher capitalised than other group members.     

Does the US-China trade war affect co-movements between US and Chinese stock markets?

This paper investigates the impact of the US-China Trade War on co-movements between US and Chinese stock markets. It particularly examines the time-varying stock market co-movement between the United States and China at market level, as well as at sector level, over the period from 3rd January 2017 to 23rd January 2020. The ‘event study’ analysis is employed to investigate the effect of US-China trade disputes news on co-movement dynamics, and the news announcement effects before and after the official start of the US-China Trade War (regarded as 6th July 2018) are examined separately in light of this phenomenon. We also identify structural breaks and spillover patterns of cross-market co-movements during different phases. The results indicate that co-movements amongst mainland China, Hong Kong and US stock markets are positively affected by news releases and, after 6th July 2018, are enhanced significantly. More precisely, there is also empirical evidence of positive announcement effects in stock market co-movements between the US and mainland China in specific sectors (particularly, Industrials and Information Technology). For international investors, this evidence suggests that the US-China Trade War has reduced the benefit of portfolio diversification in managing risk.     

沪深300股指期货与现货市场间风险传染效应及影响因素

本文选取2005—2019年我国沪深300股指期货和沪深300股票指数日收盘价数据,结合股票推出时间、股价波动性,设置样本组、对照组,运用GARCH模型、DCC-GARCH模型、Granger因果关系检验及多元线性回归模型分析了沪深300股指期货与现货间的风险传染效应及影响因素,并结合研究结论提出对策,以期促进资本市场健康发展。结果表明:沪深300股指期货市场与现货市场间存在双向的风险传染效应,且经DCC-GARCH模型分析表明风险传染效应在动荡期尤为明显;影响这种风险传染效应的因素有很多,主要表现为微观因素中的股票市场流动性和股票市场不确定性与极端事件两个方面。     

Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19

This paper studies the pandemic-driven financial contagion during the COVID-19 period and the impact of investor behavior on it by constructing three types of direct behavior measurements based on Google search volumes. More specifically, using a sample of 26 major stock markets around the world during the COVID-19 pandemic, we construct a non-linear financial contagion network via a dynamic mixture copula-EVT (extreme value theory) model to quantitatively detect and measure the complex nature of pandemic-driven financial contagion. Furthermore, through constructing direct investor behavior measurements including investor attention, sentiment, and fear, we find investor behavior plays an important role in explaining pandemic-driven financial contagion. We also find that the impacts of investor behavior on the pandemic-driven financial contagion are heterogeneous under several different settings, including market conditions, market development levels, regional subsets, and contagion directions.