Real estate prices and systemic banking crises

The collapse of real estate prices has historically jeopardized banking stability and triggered systemic banking crises. This paper studies risk contagion in a banking system in real estate price shock by adopting complex network theory. Modelling the real estate-related asset as a common exposure of banks to the real estate market, we propose a model that incorporates two main risk contagion channels, i.e., the financial network and asset fire sales, and reveal how the real estate price shock is transmitted and propagated across banks. We demonstrate that banking stability is highly sensitive to the real estate price shock. Moreover, due to the particularly low liquidity of the real estate market, the asset fire-sales of real estate assets overwhelms the financial network, playing the dominant role in risk contagion. Our model can be adopted by regulators to conduct stress testing and to forge effective risk management strategies.     

TrAffic LIght system for systemic Stress: TALIS3

For the purposes of financial stability, identifying financial institutions that, when in distress, could have a significant adverse impact on financial markets is important. A TrAffic LIght System for Systemic Stress (TALIS-cube) is proposed that provides a comprehensive color-based classification for grouping companies according to both the stress reaction level of the system when the company is in distress and the company’s stress level. TALIS³ can integrate multiple signals from the interaction between different risk metrics. Starting from specific risk indicators, companies are classified by combining two loss functions—one for the system and one for each company—evaluated over time and as a cross section. An aggregated index is also obtained from the color-based classification of companies. TALIS³ can be used to enhance the performance and robustness of existing systemic risk measures. An empirical analysis of the U.S. market is also provided.     

Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network

This paper investigates the systemic risk spillovers and connectedness in the sectoral tail risk network of Chinese stock market, and explores the transmission mechanism of systemic risk spillovers by block models. Based on conditional value at risk (CoVaR) and single index model (SIM) quantile regression technique, we analyse the tail risk connectedness and find that during market crashes, stock market exposes to more systemic risk and more connectedness. Further, the orthogonal pulse function shows that Herfindahl-Hirschman Index (HHI) of edges has a significant positive effect on systemic risk, but the impact shows a certain lagging feature. Besides, the directional connectedness of sectors shows that systemic risk receivers and transmitters vary across time, and we adopt PageRank index to identify systemically important sector released by utilities and financial sectors. Finally, by block model we find that the tail risk network of Chinese sectors can be divided into four different spillover function blocks. The role of blocks and the spatial spillover transmission path between risk blocks are time-varying. Our results provide useful and positive implications for market participants and policy makers dealing with investment diversification and tracing the paths of risk shock transmission.     

Bank profitability in the Eurasian Economic Union: Do funding liquidity and systemic importance matter?

The post-crisis regulatory architecture targets greater banking stability by imposing additional capital and liquidity requirements. Profit persistence, however, remains an important factor for attaining this goal. Using annual data for 2008–2017, this study analyzes the relationship between funding stability, systemic importance, and the profitability of banks in the three founding states of the Eurasian Economic Union (EAEU): Russia, Kazakhstan, and Belarus. The results show a strong degree of stability in net interest margin (NIM) and a lack of persistence in return on assets (ROA). Compliance with the minimum level of the Net Stable Funding Ratio (NSFR) reduces both the funding liquidity risk and the NIM of EAEU banks. Moreover, systemically important banks in the region historically operate at a lower interest spread and less prudent NSFR, which implies a potentially greater adverse effect on their NIM. Bank-specific variables have various impacts depending on the measure of profitability. The results also highlight that greater market concentration protects the NIM and negatively impacts the ROA of EAEU banks. Finally, Western sanctions have a destabilizing effect on the NIM of EAEU banks, but not on systemically important banks.     

Systemic financial risk early warning of financial market in China using Attention-LSTM model

We propose an Attention-LSTM neural network model to study the systemic risk early warning of China. Based on text mining, the network public opinion index is constructed and used as a training set to be incorporated into the early warning model to test the early warning effect. The results show that: (i) the network public opinion is the non-linear Granger causality of systemic risk. (ii) The Attention-LSTM neural network has strong generalization ability. Early warning effects have been significantly improved. (iii) Compared with the BP neural network model, the SVR model and the ARIMA model, the LSTM neural network early warning model has a higher accuracy rate, and its average prediction accuracy for systemic risk indicators has been improved over short, medium and long terms. When the attention mechanism is included in the LSTM, the Attention-LSTM neural network model is even more accurate in all the cases.     

基于动态因子Copula模型的我国银行系统性风险度量

本文基于2007年至2019年我国14家上市银行的股票收益率,构建偏态t-分布动态因子Copula模型,利用时变荷载因子刻画单家银行与整个系统的相关性,计算联合风险概率作为系统性风险整体水平的度量,基于关联性视角提出了新的单家机构系统脆弱性和系统重要性度量指标——系统脆弱性程度和系统重要性程度。该方法充分考虑了银行个体差异性和系统的内在关联性以及收益率的厚尾性和非对称性,从而能够捕捉到更多的信息且兼具时效性。研究表明:银行机构在风险聚集时期相关程度更大,联合风险概率能够准确识别出系统性风险事件且在我国推行宏观审慎评估体系以后有明显降低;整体而言,大型商业银行系统重要性水平最高,同时风险抗压能力也最强;本文使用的度量方法降低了数据获取成本且更具时效性,有助于为宏观审慎差异化监管工作提供借鉴和参考。     

从会计信息充分披露看财务报表附注的重要性

随着市场经济的日益发展 ,特别是现代股份制企业和证券市场的兴起 ,要求企业提供更为全面、完整的有效会计信息 ,以满足决策者的信息要求。针对会计人员信息的充分披露要求和企业报告模式及财务报表的未来发展趋向 ,阐述了会计报表附注的重要性。     

Interbank contagion and resolution procedures: inspecting the mechanism

This paper develops a network model of a stylized banking system in which banks are connected to one another through interbank claims, which allows us to study the diffusion of default avalanches triggered by an exogenous shock under a number of different assumptions on the degree of interconnectedness, level of capitalization, liquidity buffers, the size of the interbank market and fire-sales. We expand upon the existing literature by comparing two alternative resolution mechanisms: (i) liquidations triggered by either illiquidity or insolvency-related distress implying asset sales and compensation of creditors; and (ii) a bail-in mechanism avoiding bank closure by forcing a recapitalization provided by bank creditors. Our model speaks to how contagion dynamics unravel via illiquidity-driven defaults in the first case and higher-order losses in the latter one. Within this framework, we show how the liquidity risk externality can be resolved, and we put forward a macro-criterion to assess the adequacy of the liquidity ratio introduced with Basel III.     

不同联合模式下的要素品牌属性评价效果研究--MPAA模型理论视角

文章基于MPAA模型理论,就不同联合模式下消费者的要素品牌属性评价进行比较,并进一步探讨要素属性地位和信息类型的调节作用。通过两个实验发现,尽管消费者在联合高知名度终端品牌模式下对要素品牌属性的评价更高,但联合模式的作用受到两个边界条件的影响。当提供公司信息时,附属要素品牌未能通过联合模式提高消费者对属性的评价;当提供产品信息时,无论要素品牌属性地位如何,联合高知名度终端品牌都能获得更高评价。     

关于X钢铁股份有限公司内部控制的案例分析

内部控制的主要方式包括组织规划控制、预算控制和实物控制。内部控制的完善对一个企业的健康发展来说特别重要。文中阐述了X钢铁在内部控制方面存在的问题,并针对X钢铁的内部控制自我评价报告的适当性发表意见,最终通过实践经历,分析内部控制对企业发展的重要性。