Conditional tail-risk in cryptocurrency markets

In this paper we use $CoVaR$ to estimate the conditional tail-risk in the markets for bitcoin, ether, ripple and litecoin and find that these cryptocurrencies are highly exposed to tail-risk within cryptomarkets, while they are not exposed to tail-risk with respect to other global assets, like the U.S. equity market or gold. Although cryptocurrency returns are highly correlated one with the other, we find that idiosyncratic risk can be significantly reduced and that portfolios of cryptocurrencies offer better risk-adjusted and conditional returns than individual cryptocurrencies. These results indicate that portfolios of cryptocurrencies could offer attractive returns and hedging properties when included in investors’ portfolios. However, when we account for liquidity, the share of crypto assets in investors’ optimal portfolio is small.     

A comprehensive approach to measuring the relation between systemic risk exposure and sovereign debt

Using an integrated model to control for simultaneity, as well as new risk measurement techniques such as Adapted Exposure CoVaR and Marginal Expected Shortfall (MES), we show that the aggregate systemic risk exposure of financial institutions is positively related to sovereign debt yields in European countries in an episodic manner, varying positively with the intensity of the financial crisis facing a particular nation. We find evidence of a simultaneous relation between systemic risk exposure and sovereign debt yields. This suggests that models of sovereign debt yields should also include the systemic risk of a country's financial system in order to avoid potentially important mis-specification errors. We find evidence that systemic risk of a country's financial institutions and the risk of sovereign governments are inter-related and shocks to these domestic linkages are stronger and longer lasting than international risk spillovers. Thus, the channel in which domestic sovereign debt yields can be affected by another nation's sovereign debt is mostly an indirect one in that shocks to a foreign country's government finances are transmitted to that country's financial system which, in turn, can spill over to the domestic financial system and, ultimately, have a destabilizing effect on the domestic sovereign debt market.     

Financial globalization, financial crises and contagion

Two observations suggest that financial globalization played an important role in the recent financial crisis. First, more than half of the rise in net borrowing of the U.S. non-financial sectors since the mid-1980s has been financed by foreign lending. Second, the collapse of the U.S. housing and mortgage-backed-securities markets had worldwide effects on financial institutions and asset markets. Using an open-economy model where financial intermediaries play a central role, we show that financial integration leads to a sharp rise in net credit in the most financially developed country and to large asset price spillovers of country-specific shocks to bank capital. The impacts of these shocks on asset prices are amplified by bank capital requirements based on mark-to-market.     

金融开放加剧了我国金融系统的风险吗？

本文从金融开放过程中我国金融风险与国际金融风险的相互影响入手,分析我国金融开放在经济金融发展的不同阶段对金融风险的影响。研究表明,在金融业发展程度很低时,金融开放和经济增长会加剧风险,而在金融业高度发达时,资本市场开放表现出促进风险相互传染的通道功能,货币市场开放和经济增长表现出抑制国内风险功能,但这种风险抑制功能只在短期有效。因此,本文提出深化金融业开放过程中,我国要平衡好金融业开放、金融业发展与经济增长之间的关系。     

我国金融市场间溢出效应研究——基于四元VAR-GARCH(1,1)-BEKK模型的分析

汇率改革以来,政府实施了一系列金融市场改革,促使金融市场一体化程度显著提高,增强了金融市场间联系。本文采用四元VAR(6)-GARCH(1,1)-BEKK模型分析了我国主要金融市场(股票市场、债券市场、外汇市场以及货币市场)的溢出关系。研究发现,上述市场有很强的波动集聚性和持续性,大多数金融市场间存在显著的双向均值溢出,所有市场间均存在显著的双向波动溢出,还发现市场间溢出可能主要来自于市场传染效应。据此,本文认为政府应该采取合理有效的监管框架,监控金融市场参与者的资本金状况,防止金融市场大幅波动,降低风险累积程度,并在执行货币政策时,兼顾金融市场价格变化对货币政策执行效力的影响。     

The contagion effect of foreclosed properties

Although previous research shows that prices of homes in neighborhoods with foreclosures are lower than those in neighborhoods without foreclosures, it remains unclear whether the lower prices are the result of a general decline in neighborhood values or whether foreclosures reduce the prices of nearby non-distressed sales through a contagion effect. We provide robust evidence of a contagion discount by simultaneously estimating the local price trend and the incremental price impact of nearby foreclosures. At its peak, the discount is roughly 1% per nearby foreclosed property. The discount diminishes rapidly as the distance to the distressed property increases. The contagion discount grows from the onset of distress through the foreclosure sale and then stabilizes. This pattern is consistent with the contagion effect being the visual externality associated with deferred maintenance and neglect.     

Contagion models a la carte: which one to choose?

We propose a copula contagion mixture model for correlated default times. The model includes the well-known factor, copula, and contagion models as its special cases. The key advantage of such a model is that we can study the interaction of different models and their pricing impact. Specifically, we model the default times of the underlying names in a reference portfolio to follow contagion intensity processes with exponential decay coupled with a copula dependence structure. We also model the default time of the counterparty and its dependence structure with the reference portfolio. Numerical tests show that correlation and contagion have an enormous joint impact on the rates of CDO tranches and the corresponding credit value adjustments are extremely high to compensate for the wrong-way risk.     

金融全球化过程中银行危机的传染性及我国的应对策略

随着经济全球化的深化,随着我国整个金融体系开放程度的加深,任何来自国际金融市场的危机都可能对我国商业银行体系造成灾难性冲击,本文从分析银行危机跨国传染的路径着手,提出了我国防范国际金融危机传染的对策和建议,以期为我国银行体系的改革提供新的思路。     

基于共同冲击和异质风险叠加传导的风险传染研究——来自中国上市银行网络的传染模拟

本文将银行系统遭遇外部共同冲击作为研究起点,建立了一个共同冲击和异质风险交互传导与放大的简化模型,冲击的传导包括“原始冲击”、“增量冲击”和“违约冲击”三个风险传染阶段。基于2018年我国15家上市银行的股票收益率和年报数据、2006年至2018年的银行评级数据,本文构建了贝叶斯分层图模型和银行间拆借矩阵,并利用蒙特卡洛模拟测度不同触发银行所引发的系统性风险损失、单个银行的系统性风险杠杆能力(文中定义为“传染乘数”指标)以及政府监管介入的效果。模拟结果显示:共同冲击损失远大于异质风险损失;规模和网络关联性是决定传染乘数的重要因素,且当规模因素不突出时,网络关联性对传染乘数的决定作用相对更强,极容易出现小规模、高关联性银行具有较高的传染乘数;当银行风险资产损失率在10%至25%之间时,造成系统性风险损失的杠杆能力普遍增强;政府监管介入能较好地降低系统性风险。本研究的相关结论为系统性风险的监管设计提供经验证据和参考。