The mechanism of credit risk contagion among internet P2P lending platforms based on a SEIR model with time-lag

The credit risk contagion of Internet peer-to-peer (P2P) lending platforms is an important part of Internet financial risk management and supervision. This study analyzes the contagion path of credit risk in Internet P2P lending. Based on complex network theory and the theory of infectious disease dynamics, the characteristics of Internet P2P lending development are combined to construct a SEIR model of credit risk transmission among Internet P2P lending platforms with time lag, and the robustness of the model is analyzed and proven. The influence of platform correlations, the susceptible immune rate, the platform elimination rate, contagion latency, the saturation coefficient, and the susceptibility input rate on credit risk contagion behavior among Internet P2P lending platforms is analyzed, using the equilibrium point and threshold value. The impact of each variable is analyzed by simulation. Corresponding countermeasures and suggestions are proposed to prevent and control credit risk contagion among these platforms.     

Orange County Bankruptcy: Financial Contagion in the Municipal Bond and Bank Equity Markets

We examine the spillover wealth effects of the Orange County, California bankruptcy announcement in December 1994 on municipal bonds, municipal bond funds, and bank stocks. This bankruptcy is prominent because of unprecedented losses and because it was caused by a highly leveraged derivatives strategy rather than a shortage of tax revenues and excess spending. We find contagion in the bond market with significantly negative abnormal returns for municipal bond funds without direct exposure to Orange County and for non‐Orange County municipal bonds. In addition, our findings suggest the contagion spills over to the common stocks of investment and commercial banks that deal in or use derivatives; however, the equities of banks unexposed to derivatives are not affected.     

Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis

This study establishes time–frequency networks of sovereign and bank contagion in the eurozone over the period 2009–2021. By applying discrete wavelet transformation, daily CDS premia of sovereigns and systemically important banks are decomposed into multi-horizon components to specify directed and dependence-weighted networks. Dynamic analysis shows that the network connectivity and the strength of the dependencies are significantly lower after the introduction of the European Banking Union in 2014. While the strength effect is pronounced across all time horizons, the network connectivity only reduces in the short and medium run. This provides evidence that the new regulatory framework promotes financial stability but is more effective in the short and medium horizons. The consideration of the COVID-19 pandemic as a real-life stress test confirms these findings as the strength of the dependencies keeps at significantly lower levels.     

Contagion Effects from the 1994 Mexican Peso Crisis: Evidence from Chilean Stocks

The contagion, or informational spillover, effects of the 1994 peso crisis from the Mexican market to the Chilean market, and to the Chilean American Depository Receipts (ADRs) trading in the U.S., are examined. Significant excess returns are observed for Chilean stocks for the event dates of the Mexican Peso crisis, providing evidence of contagion effects. Significant excess returns on these Chilean ADRs are also observed for each of the five event dates associated with the Peso crisis, suggesting that the contagion effects spilled over to the ADRs. A multiple regression model shows that the spillover contagion effects were very efficiently transmitted from the Mexican market to the Chilean market to the Chilean ADRs. Multifactor regressions show that the most significant influence on the pricing of Chilean ADRs is the raw Chilean Index, rather than the Chilean Index expressed in U.S. dollars.     

Sovereign Risk Contagion in East Asia: A Mixture of Time-Varying Copulas Approach

This study analyzes sovereign risk contagion between four East Asian economies (China, Hong Kong, Japan, and Korea) and its structural changes through the Global Financial Crisis (GFC) and the European Debt Crisis (EDC) by applying the mixture of time-varying copulas to those economies’ credit default swap (CDS) spreads.

This article first finds a strong contagion from the US and PIIGS economies to the East Asian sovereign CDS markets and intraregional contagion within the East Asian markets. Second, the impact of contagion is different according to whether it is measured by the linear (Gaussian) or the upper tail dependence. Third, Japan plays an important role in increasing the linear dependence whereas China and Korea are crucial in terms of the upper tail dependence. Lastly, the GFC has structurally increased the linear dependence but not the upper tail dependence between the East Asian sovereign CDS markets.     

Investing against the wind: contagion during the recent financial crisis

This article examines the effect of Warren Buffett’s investment in Goldman Sachs on 24 September 2008, during the subprime mortgage crisis. Although this event is arguably perceived to be the biggest expression of confidence in the financial market during the crisis, by conducting event studies, we do not find the major counterparties of Goldman Sachs displayed positive abnormal returns. Moreover, the abnormal return is not significantly related to the counterparty connection. We have similar findings on these financial institutions’ default probabilities using credit default swap.     

Measuring systemic risk-adjusted liquidity (SRL)—A model approach

Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.     

Macro-Networks: An application to euro area financial accounts

This paper develops a financial network, designated the “Macro-Network”, that depicts the connections between the main financial and non-financial sectors of the economy in the various financial instruments of the euro area. The Macro-Network comprises of linkages across financial and non-financial sectors in each country. These country-level sector networks are then connected by the cross-border links between the individual banking sectors. Using the Macro-Network to simulate financial shocks, we find that the propagation effects depend on the underlying network structure, which evolves over time. After the financial crisis, bilateral linkages contracted sharply, reflecting the surge in counterparty risk and the de-leveraging processes. Nonetheless, our analysis suggests that even after this process, vulnerabilities remained in the euro area financial system, while a more diversified portfolio of cross-border exposures might mitigate the shock effects. We identify sectors which are most relevant for the propagation of financial shocks in the Macro-Network.     

Systemic risk and dynamics of contagion: a duplex inter-bank network

This paper constructs a duplex banking network formed by credit relationships and information interaction via the banks’ balance sheet to model the structure of systemic risk and investigate the dynamic mechanism of contagion in terms of default and liquidity infection along with the factors that affect the extent of the contagion. We systematically explain the role that duplex banking networks play in different aspects of risk contagion. Through theoretical analysis and simulations, we conclude that asymmetric information interaction would increase the inflexibility of the system, which leads to liquidity shortage and possibly the collapse of the whole market. The weakness of systemic risk in the interior of the complex banking system can be characterized by the partial discount factor using illiquid assets in the information network. By improving the connectedness of the information network of the duplex networks, the spread of contagion can be partially slowed.     

房地产产业链泡沫相依结构演化及其危机传染效应

本文采用R-Vine Copula方法对我国2000-2015年期间房地产产业链上各行业泡沫之间的相依结构进行建模分析，并在此基础上分析2007年次贷危机和2009年欧债危机对房地产产业链泡沫相依结构的冲击影响。研究结果表明：在整个研究期间，房地产产业链上各行业均存在多次周期性泡沫，比较严重的泡沫均集中在2006-2007年，且其间出现房地产业泡沫的峰值；房地产业泡沫是各行业泡沫相依结构的枢纽中心，起到了“蓄水池”的作用，并与有色金属业、建筑装饰业、银行业和机械设备业之间存在较高的相依性；次贷危机和欧债危机的发生不仅仅增强了房地产与相关行业之间的相依性，存在明显的危机传染效应，也改变了整个产业链的相依结构。