Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.     

风险层级决策体系下的财务共享中心权责研究

由共享思想衍生的财务共享服务在当前的我国大型企业中已经得到较广泛的运用,当企业的业务线撤销财务权力后,所带来的财务共享中心的权责问题成为了阻碍财务共享服务提升流程处理效率的因素之一。通过对决策事件进行影响度以及风险性的划分并形成决策矩阵,探析在不同组织层级下财务共享中心的具体决策权之所在以及财务共享中心对于企业应急事件信息处理的反应系统,以期为财务共享中心的权责问题决策提供参考。     

Landslide risk perception survey in Angra dos Reis (Rio de Janeiro,southeastern Brazil): A contribution to support planning of non structural measures

The increasing magnitude and frequency of landslide-related disasters exposes weaknesses in disaster risk reduction (DRR) policy. One of the underlying reasons is that DRR policies tend to focus only on the physical aspects of the problem (i.e. mass movement processes) while neglecting the level of vulnerability of exposed populations to landslide threats, which affects the types and magnitude of adverse consequences. This neglect is a typical symptom of the remoteness that can exist between public administrators and local communities and undermines the implementation of participatory risk management. Certain dimensions of vulnerability depend on how communities relate to the issue of disasters based on their intuitive or rational judgment, i.e. their perception of risk. This paper seeks to shed light on the need for an understanding of risk perception based on the findings from a survey of residents in the city of Angra dos Reis, Rio de Janeiro, Brazil, to be taken into account in aiming at a more efficient landslide risk management policy. The survey was carried out through semi-structured face-to-face interviews with residents of three typical hillside communities in this municipality. In general, the study found that residents will often weigh landslide risks against other threats and opportunities existing where they live. It also found that community members find it difficult to see themselves as agents of change in the environment where they live and in mitigating landslide risks, and that better communication is needed between the government agencies involved in risk management and local residents.     

Information,market power,and price volatility

We consider demand function competition with a finite number of agents and private information. We show that any degree of market power can arise in the unique equilibrium under an information structure that is arbitrarily close to complete information. Regardless of the number of agents and the correlation of payoff shocks, market power may be arbitrarily close to zero (the competitive outcome) or arbitrarily large (so there is no trade). By contrast, price volatility is always lower than the variance of the aggregate shock across all information structures. Alternative trading mechanisms lead to very distinct bounds as a comparison with Cournot competition establishes.     

数字地面模型新进展：TIN2.0、3D表面 塑型线和自由形态建模工具

竖向设计是人类在景观中进行的基本活动。人类对 室外空间的任何干预都涉及对地表形态的设计。在过去的几十 年中，数字设计的发展不仅改变了表现的方法，而且改变了设 计的过程。就地形建模而言，该技术实现了三维可视化和任务 自动化，例如土方计算和自动产生横截面。但在重点考察最新 的建筑信息模型(BIM)如何应用和实施这项技术时，不难发现 地形建模过程并没有充分利用技术带来的潜在优势。实际上， 三维建模工具、基于组件的建模和分析、设计验证，以及协同 设计是可以集成到数字地面模型中的。识别了现有数字建模解 决方案中的主要缺陷并为其进一步发展提供机会，提出了一 项整合性的数字地面模型建模过程，该过程引入了TIN2.0曲 面，对现有的TIN曲面进行了升级，允许在同一曲面中同时存 在规则三角网和不规则三角网，并开发了一套基于三维线和自 由形态设计工具的建模工具，推动风景园林信息模型框架的发 展以满足风景园林师及其他专业人士，如建筑师和土木工程师 进行地形建模的需求。通过案例研究对提出的建模过程进行了 测试和验证。结果表明，生成的数字曲面具有较高精度，可以 具象地表现地形，允许设计过程在三维线或自由形态设计工具 的基础上进行。所有地形建模均在三维数字模型上进行     

特大城市特种设备安全双重预防标准体系与试点——以上海为例

上海作为国际特大城市,特种设备数量多、占比高,安全形势严峻。近年来,上海就特种设备风险分级管控和隐患排查治理的双重预防性工作机制开展试点,构建起工作标准体系。以制定规范性指导文件为纲,从风险管控、隐患排查和使用单位安全管理评价三个方向延伸,制定相应的具体工作标准,并将试点中采集到的隐患、风险案例,以信息化的手段集成为数据库,用以指导督查工作的标准化,实现隐患与风险的识别,对形成特大型城市特种设备隐患排查、风险管控的标准体系进行有益的探索。     

政策不确定性、财政扩张与区域商业银行风险——基于中国地方官员变更和银行业的证据

文章利用2007-2017年我国93家区域商业银行的面板数据，并结合省级宏观经济数据和地方官员变更数据，实证考察了中国地方官员变更引起的经济政策不确定性对区域商业银行风险的重要影响。研究结果表明：（1）地方官员变更引起的政策不确定性增大了区域商业银行风险；（2）地方官员变更引起的政策不确定性，通过提高银行的资产收益率降低了商业银行风险；而不确定性时期的财政扩张，通过降低银行资产收益率增大了商业银行风险；并且财政扩张的负面影响大于政策不确定性的正面影响；（3）各省的市委书记发生职位更替引起的政策不确定性对区域商业银行风险的影响更大。文章研究为新时代背景下的金融供给侧结构性改革、政府宏观经济政策的制定以及财政体制与金融体制之间的联系提供参考。     

Estimating the potential impact of requiring a stand-alone board-level risk committee

Motivated by the requirement under the Dodd-Frank Act that all large bank holding companies create a stand-alone, board-level risk committee, this paper investigates the association between such a committee and regulatory risk both before and during the financial crisis. I focus the analysis on the set of banks that did not have a risk committee in place prior to the Dodd-Frank Act, as these are the banks that were most affected by the regulation. I find that matched control banks with a risk committee in place had higher capital ratios during the financial crisis, but lower capital ratios during more stable economic conditions relative to the banks without a risk committee. This paper contributes to the literature by narrowly investigating the effects a board-level risk committee, by focusing on a risk measure that is of interest to the regulators who implemented the new regulation, and by documenting that this association changes over time which highlights the importance of estimating the effects of new regulations across different economic conditions.     

The pro-cyclicality of risk weights for credit exposures: Driven by the retail segment

This paper examines the pro-cyclicality of implicit risk weights of credit exposures and the potential contribution of accommodative monetary policy using data for the Czech Republic. The empirical results indicate that risk weights behave pro-cyclically under the IRB approach and acyclically under the STA approach. The pro-cyclical behaviour of IRB risk weights is caused primarily by the retail exposures, the strongest effects being in the highest and lowest quantiles of risk weights. The risk weights for retail exposures behave pro-cyclically not only with regard to the business cycle, but also with respect to the financial cycle and house price growth. In addition, monetary policy easing contributes to the pro-cyclicality in higher quantiles of risk weights.     

The price discovery role of day traders in futures market: Evidence from different types of day traders

Using proprietary account-level transaction data in the futures market where day traders are self-declared ex ante, this study investigates whether day traders enhance price discovery at the market level. From a natural classification of day traders, we find that heterogeneous day traders have differential effects on price discovery. Self-declared day traders, who benefit from low margin requirement, do not improve price discovery measured by information share. In contrast, non-declared traders, who are not self-declared as day traders, improve price discovery. Their positive impacts on price discovery are particularly significant during periods of high volatility and arrival of new information. Overall, a margin stimulating policy may encourage more day trading, but may also attract overconfident investors, especially inexperienced ones, and who do not enhance price discovery.