系统评估过程研究

通过系统及其目标的定义、议题及其目标的确立、指标及其性能标准的选择、指标的测量及其图形的绘制、指标的聚合、绘制指标图并评估其结果等步骤,构建系统评估过程模型,并以区域可持续发展系统为例,进行区域可持续发展评估。     

Financial Policy in Practice: Benchmarking Financial Sector Strategies Around the World

Policy makers use financial sector strategies to formulate a holistic policy for the national financial system. This article examines and rates financial sector strategies around the world on how well they formulate development targets, arrangements for systemic risk management, and implementing plans. The strategies are also rated on whether they consider policy trade-offs between financial development and systemic risk management. The rated strategies are then benchmarked against a range of country characteristics. The analysis finds that the scope and quality of national strategies for the financial sector are systematically influenced by several country characteristics. Interestingly, policy trade-offs, particularly between financial development and systemic risk management, are not adequately considered in the strategies.     

Financial Imbalance Index as a New Early Warning Indicator： Methods and Applications in the Chinese Economy

Based on the stylized facts of financial crises and systemic risk accumulation, this paper constructs a new financial imbalance index （FII） from the perspective of endogenous financial cycles and assesses its application in China＇s macro-financial analysis. The results show that the FII is not only an effective index to detect financial imbalances in China＇s economic cycles, but is also more accurate than and plays more of a leading role than conventional indicators, such as the consumer price index, the financial conditions index and the purchasing managers indicator. Empirical analysis shows that the FII can be used as an effective indicator to measure systemic financial risk, and can provide policy-makers and market participants with useful information to make appropriate decisions.     

中国金融危机法构建的探讨

本次震撼全球的美国金融危机给世人敲响了金融危机不定时爆发的警钟。全球化背景下金融危机的传染性更强、金融风险更大。中国相对脆弱的金融体系需要探索如何防范金融系统性风险,如何健全金融监管体系的制度与法制建设。随着人民币国际化过程深入,制定并颁布《金融危机法》能克服目前金融监管纵向监管体系缺陷,对提高我国金融监管机构应对金融危机能力、稳定金融市场与保增长具有重要意义。     

Systemic justice and burnout: A multilevel model

With the aim of extending organisational justice research to embrace significant and enduring aspects of the workplace context, this study examines organisational culture and human resource management (HRM) as constitutive dimensions of systemic justice and relates them to employee health. Bridging organisational justice, HRM, organisational culture, and occupational health research, we advance and test a multilevel model relating systemic justice to burnout. Data collected from 60 organisations; 89 employee groups; and 1,976 employees provide support for the hypothesised relationships between justice‐oriented culture, in terms of organisational values and group culture, and justice‐oriented HRM. In turn, justice‐oriented HRM related directly to employee burnout and indirectly through employee perceived job control and supervisor social support.     

金融压力、所有制结构与银行风险承担——基于中国影子银行活动的实证研究*

2008年金融危机之后，监测与防范系统性金融风险、维护金融稳定成为各国监管机构的工作重点。本文构建了一个反映我国系统性金融风险的中国金融压力指数（FSIC）。基于此，本文研究不同所有制结构的商业银行将如何调整影子银行业务以应对系统性金融风险。实证结果表明，当金融压力上升时，相较于国有银行，非国有银行的风险承担水平显著上升。进一步研究发现，这一差异与两类银行对影子银行这一风险业务的调整有关。当金融压力上升时，国有银行会显著减少影子银行业务，而非国有银行的影子银行业务不会减少。本文提出了国有银行的双重职能这一观点来解释实证研究的发现。本文的研究结论对于指导我国金融市场化改革和防范系统性金融风险具有重要启示。     

Do Cryptocurrencies Increase the Systemic Risk of the Global Financial Market?

The advance of cryptocurrencies has sparked wide concern over their interplay with the existing global financial market. This paper analyzes the risk spillover relation between cryptocurrencies and major financial assets, and unravels how cryptocurrencies could influence global financial systemic risk. We find that cryptocurrencies function as a separate risk source from traditional assets. Major legislative, financial and technological events in the cryptocurrency market may affect risk spillover dynamics. Although the overall penetration of cryptocurrencies is not yet deep, introducing cryptocurrency can significantly increase the systemic risk to traditional markets during low risk level episodes.     

Assessing Systemic Importance With a Fuzzy Logic Inference System

Three metrics are designed to assess Colombian financial institutions' size, connectedness and non-substitutability as the main drivers of systemic importance: (i) centrality as net borrower in the money market network; (ii) centrality as payments originator in the large-value payment system network; and (iii) asset value of core financial services. An aggregated systemic importance index is calculated based on expert knowledge by using a fuzzy logic inference system. We use principal component analysis to calculate a benchmark index for comparison purposes. Overall similarities between both indexes put forward that expert knowledge aggregation is consistent with that based on a purely quantitative standard approach. Specific non-negligible differences concur with the nonlinear features of an approach whose intention is to replicate human reasoning. Both indexes are complementary and provide a comprehensive relative assessment of each financial institution's systemic importance in the Colombian case, in which the choice of metrics pursues the macroprudential perspective of financial stability. Copyright © 2015 John Wiley & Sons, Ltd.     

Measuring systemic risk with regime switching in tails

This paper motivates the importance of modeling nonlinearities in measuring systemic risk. I capitalize this motivation by generalizing the CoVaR approach proposed by Adrian and Brunnermeier (2016) to allow it switching between a high and a normal risk regime filtered from data.. Considering the U.S. large bank holding companies (BHCs), this paper shows that modeling regime changes in tails is capable of capturing both amplification and mean-reversion effects of an adverse shock to a bank's balance sheet on the banking system. Using the Kolmogorov–Smirnov test statistics with and without bootstrapping, I perform the significance test to identify systemically important financial institutions (SIFIs), and the stochastic dominance test to rank the identified SIFIs. The stochastic dominance test raises the concern that the CoVaR measure underestimates systemic risk contributions for SIFIs but overestimates for non-SIFIs. Finally, applying the BHCs' characteristics and housing market price to forecast the regime-switching systemic risk out-of-sample, I obtain from 4- and 8-quarter-ahead horizons a desirable countercyclical, forward-looking measure of systemic risk.     

保险公司系统重要性识别及其影响因素研究——基于系统性风险敞口与贡献的视角

全球金融危机后,系统性风险是全球各级政府和监管部门以及金融业关注研究和应对的热点和重点。金融系统性风险的防范和管理是减贫脱贫、环保治理和系统风险防范化解三大攻坚战略之一,研究金融系统性风险,不仅具有重要的学术价值,更有迫切的现实意义。本文立足识别保险公司系统重要性,通过MES、SRISK、以及ΔCoVaR多维度测量中国保险公司的系统性风险敞口与贡献,甄别主要影响因素,并利用BP神经网络模拟非上市保险公司的风险溢出效应。研究发现:三种评估模型结果具有一致性,保险公司的杠杆率和非核心业务对其系统重要性有显著正效应;保险公司系统性风险敞口与贡献受金融危机和股市震荡明显。鉴于系统性风险有效防控是未来保险业防风险工作的重点,本文结合研究发现提出了对中国保险业系统性风险管理的建议。