Unemployment as an Adverse Trigger Event for Mortgage Default

The Journal of Real Estate Finance and Economics - There is limited evidence of the role of household-level adverse trigger events in driving mortgage default, and the evidence based on proxies,...     

Does Accrual Management Impair the Performance of Earnings‐Based Valuation Models?

This study examines how accrual manipulations affect firm valuation in the years surrounding the passage of the Sarbanes‐Oxley Act (SOX). We compare the absolute percentage pricing errors of RIM and DCF valuation models for a group of US firms suspected to have engaged in accrual manipulations to avoid a small loss or a small earnings decline vs. ‘Normal’ firms matched on industry, year and size. We find that RIM can better estimate intrinsic value than DCF for the matched Normal firms in the pre‐SOX period, but not so for accrual manipulators, and that SOX mitigates the harmful effect of accrual manipulations, completely eliminating the difference in RIM's accuracy advantage over DCF between Normal firms and accrual manipulators. As a further analysis, we redefine Suspect firms as real‐activity manipulators and find a significant across‐group difference in accuracy wedge in both sample periods, implying that SOX has prompted firms to favor real‐activity manipulations over accrual manipulations.     

From elite capture to marginalization of the poorest: a new social exclusion in anti-poverty programmes in China

Based on a case study of state-directed aid resources in anti-poverty programmes, we detected a new phenomenon of social exclusion in China. In a period of several years, a shift is observed from elite capture to marginalization of the poorest. This phenomenon occurs under the administrative pressure from the authoritarian state and the morbid democratic mechanism. Contemporary structural changes in economic and social culture also make it difficult for marginal people to escape from this predicament. From a social structural transformation point of view, we suggest that the marginalization of the poorest should be seriously taken into consideration in rural development programmes and policies.     

The price of going green: the role of greenness in green bond markets

In this paper, we empirically investigate how greenness information is priced in the green bond market. Our comparison of liquidity-adjusted yield premiums of green bonds versus synthetic conventional bonds indicates that, on average, there is no robust and significant yield premium or discount on green bonds. However, green bonds certified by an external reviewer enjoy a discount of about 6 bps. Furthermore, green bonds that obtain a Climate Bonds Initiative certificate show a discount of around 15 bps. The findings suggest that a universally accepted greenness measure can benefit the development of the green bond market.     

我国会展设计岗位人才基本情况调研分析

本文从国内会展设计公司的组织营运、从事会展设计行业的从业人员基本情况等方面进行了阐述和分析,通过行业最前沿的数据和佐例,总结出会展行业设计岗位人才的基本能力要求。     

Does economic policy uncertainty raise corporate precautionary cash holdings? Evidence from China

Using China as the research setting, this paper investigates the relationship between economic policy uncertainty and corporate precautionary cash holdings. Empirical results show a U-shaped relation between economic policy uncertainty and corporate precautionary cash holdings. Empirical analysis, in terms of ownership structure, firm size, corporate competitiveness and geographical location, further shows that (i) the effects for economic policy uncertainty in both state-owned and non-state-owned enterprises are significant, but the effect is stronger for state-owned enterprises; (ii) such significant effect is also found more strongly in small and medium-sized enterprises and highly competitive enterprises; and (iii) the effects for eastern, central and western China are all statistically significant, but the effect is strongest for eastern China.     

产能治理与企业债务结构再平衡—基于商业信用与银行信贷关系视角

我国上市制造业企业的商业信用与银行信贷关系存在长期互补特征,但信号理论对互补强度的演变过程缺乏有效的解释力.为探索信号理论之外的互补机制,反思企业债务结构的信贷偏移效应,文章提出了产能驱动假说,利用面板门限模型,得到了以下结论:(1)商业信用与银行信贷会随产能增长而呈现从"替代"到"互补"的演变特征,且互补强度(单位商业信用上升伴随的信贷上升)会随产能膨胀出现从"弱"到"强"的二次突变特征,即产能扭曲会使企业债务结构快速向银行信贷偏移,这为理解企业信贷依赖的形成路径提供了产能层面的微观解释.(2)企业债务结构再平衡能力具有异质性,高研发投资及低调整成本企业借助产能治理来修正信贷依赖的能力更强,因此降低调整成本、扶植企业创新应成为优化融资结构的重要政策路径.文章在信号理论之外提出了产能驱动假说,解释了我国企业债务结构扭曲的动态特征,并从技术创新与调整成本视角为推动企业实现债务结构再平衡提供了政策参考.     

Security regulations,access to capital markets,and firm performance: Evidence from China

This study explores the cost of security regulations in China, where firms are required to meet a certain profitability benchmark before applying for permission to raise more equity via secondary equity offerings (SEOs). Using a difference-in-differences setting, we show that firms affected by the regulation (i.e., firms with high external financing demands (EFD) but profitability lower than the regulatory requirement) significantly underperform their counterparts, while unaffected firms do not. The affected firms’ performance decline increases (decreases) when the requirement of profitability is more (less) restricted. Consistently, the three-day cumulative abnormal return (CAR) of firms with high EFD is significantly negative (positive) when the regulation is tightened (loosened). Our study provides evidence on how the cost of regulation affects companies that have growth opportunities.     

#br# 融资融券加大了沪深股市波动吗*

融资融券设计初衷是通过融资加强市场流动性和通过融券提供投资者规避价格下跌风险的金融工具，改善由供求关系严重失衡导致市场巨幅震荡的局面，实现资本市场长期稳定的目标。实际操作中，融资融券疏通货币市场和资本市场间的资金流动，撬动巨额资金涌入股市；融资规模扩张过快而融券做空力量薄弱，业务结构发展严重失衡，导致两融业务具有“小冲击、大波动”的金融加速效应，放大了外部冲击引起股价上涨和下跌的幅度。协整回归分析表明，两融业务规模的扩张和收缩对上证指数涨跌具有显著的同向影响。TGARCH事件模型结果进一步证实融资融券从稳定股价到加剧波动的功能变化。随着标的股票扩容和业务常规化，两融业务导致股市投机过度，加剧了沪深两市的资产价格异动，没有达到平抑波动的设计预期。     

Managing security risks for inter-organisational information systems: a multiagent collaborative model

Information sharing across organisations is critical to effectively managing the security risks of inter-organisational information systems. Nevertheless, few previous studies on information systems security have focused on inter-organisational information sharing, and none have studied the sharing of inferred beliefs versus factual observations. In this article, a multiagent collaborative model (MACM) is proposed as a practical solution to assess the risk level of each allied organisation’s information system and support proactive security treatment by sharing beliefs on event probabilities as well as factual observations. In MACM, for each allied organisation’s information system, we design four types of agents: inspection agent, analysis agent, control agent, and communication agent. By sharing soft findings (beliefs) in addition to hard findings (factual observations) among the organisations, each organisation’s analysis agent is capable of dynamically predicting its security risk level using a Bayesian network. A real-world implementation illustrates how our model can be used to manage security risks in distributed information systems and that sharing soft findings leads to lower expected loss from security risks.