网络会计信息失真的风险及对策

会计信息化的失真导致产生技术风险、业务风险以及管理风险。强化技术安全、建立科学合理的网络财务会计理论体系,加强应以管理,增强企业竞争力,实时进行全面核算监督,最大限度地减少会计信息失真带来的风险,把损失控制在最小程度。     

当前国有银行改革的政策风险与政策启示--兼论外汇储备注资的货币扩张效应

当前以外汇储备注资开始的国有银行改革试点蕴含着很高的政策风险.在微观层面,政府所有(或控制)的股权结构能否衍生出健康良好的银行公司治理机制,能否真正划清政府与银行之间的界限,本身存在疑问;在宏观层面,货币化的操作方式会加剧甚至诱发宏观不稳定.国有银行的风险归根结底是一种系统性的制度风险,是一种道德风险,最终要通过全面的体制转轨和健康、持续的经济增长来消化.     

Premium auctions and risk preferences: An experimental study

In premium auctions, the highest losing bidder receives a reward from the seller. This paper studies the private value English premium auction (EPA) for different risk attitudes of bidders. We explicitly derive the symmetric equilibrium for bidders with CARA utilities and conduct an experimental study to test the theoretical predictions. In our experiment, subjects are sorted into risk-averse and risk-loving groups. We find that revenues in the EPA are significantly higher when bidders are risk loving rather than risk averse. These results are partly consistent with theory and confirm the general view that bidders' risk preferences constitute an important factor that affects bidding behavior and consequently also the seller's expected revenue. However, individual subjects rarely follow the equilibrium strategy and revenue in our experiment is lower than in the symmetric equilibrium.     

金融衍生产品对上市公司风险管理影响实证研究

论文选取有色金属矿产行业以及能源交通运输行业229家上市公司作为样本，以上市公司是否使用衍生产品为解释变量，同时引用一系列控制变量，通过实证分析上市公司使用衍生产品是否会有效降低公司风险。实证过程涉及参数检验、非参数检验、相关性分析和回归分析，实证结果显示我国上市公司使用衍生产品会降低公司风险，这与西方主流的财务管理理论相一致而与我国学者以前的研究相反，由此推测我国上市公司运用衍生产品的能力逐渐娴熟。     

Implementing efficient conservation portfolio design

Modern tools for cost-effective conservation reserve site planning require the planner to have information about spatial distributions of conservation costs and benefits. Climate change creates unprecedented uncertainty about future land values and species habitat ranges, such that conservation scientists cannot map costs and benefits with certainty anymore. This paper contributes to the literature on the economics of conservation in the face of climate change uncertainty. It advances a new method for using modern portfolio theory to choose lands to protect that yield total conservation returns with less uncertainty. It explores the implications for portfolio recommendations of variation in the correlations between ecological and land-value responses to climate change. It also tests the robustness of the method to shortcuts that might be taken to simplify analysis, identifying problems that arise if conservation costs are ignored in portfolio analysis and demonstrating when portfolio recommendations are sensitive to how ecological benefits are quantified.     

Does risk sharing increase with risk aversion and risk when commitment is limited?

I consider a risk-sharing game with limited commitment, and study how the discount factor above which perfect risk sharing is self-enforcing in the long run depends on agents׳ risk aversion and the riskiness of their endowment. When agents face no aggregate risk, a mean-preserving spread may destroy the sustainability of perfect risk sharing if each agent׳s endowment may take more than three values. With aggregate risk the same can happen with only two possible endowment realizations. With respect to risk aversion the intuitive comparative statics result holds without aggregate risk, but it holds only under strong assumptions in the presence of aggregate risk. In simple settings with two endowment values I also show that the threshold discount factor co-moves with popular measures of risk sharing.     

Business model risk and uncertainty factors: Toward building and maintaining profitable and sustainable business models

Business models and business model innovation—and particularly their opportunities—have been a popular topic recently, but we find the extant literature on the subject lacking. The risk and uncertainty aspect typical of business models has not been sufficiently addressed. We draw upon the existing literature and triangulate results with an extensive expert group interview to identify 28 risk and uncertainty factor groups, creating a checklist that can be used as the first step in an integrative business model risk management process for existing and new iterations. With an established process for managing and identifying risk in business models, managers can make more conscious and well-informed decisions.     

Do significant risk warnings in annual reports increase corporate bond credit spreads? Evidence from China

Based on listed companies issuing bonds on the Shanghai and Shenzhen Stock Exchanges from 2007 to 2017, this study analyzes the relationship between significant risk warnings in Chinese companies’ annual reports and corporate bond credit spreads. The main findings are as follows. First, in the Chinese market, “substantial warnings of significant risks” can significantly improve corporate bond credit spreads, reflecting the risk-warning effect; second, state-owned property rights weaken this effect, which only pertains to listed companies with poor risk management and low information quality; third, significant risk warnings increase investors’ heterogeneous beliefs, also affecting credit spreads; and fourth, through textual analysis, it is found that the corporate bond credit spread is greater when the disclosed risk factors are more pessimistic and less similar to those of the previous year. The findings of this paper help to enrich the literature on credit spreads and risk disclosure.     

美元周期性波动对我国跨境资本流动的非对称效应研究

有效应对和防范跨境资本流动冲击，维护外汇市场稳定是贯彻落实习总书记“打好防范化解重大风险攻坚战”的重要举措。目前，美元已进入强周期，我国正面临着由强势美元引发的货币贬值、资本外流等风险，当前背景下研究美元周期性波动特征、区制划分及其对跨境资本流动的影响具有重要的理论和现实意义。本文基于2006年10月至2018年6月的月度数据，运用理论模型和MSVAR模型分析美元周期性波动对我国跨境资本流动的非对称效应。研究表明，中美利差对跨境资本流动的影响存在非对称效应，当投资者不存在恐慌避险情绪时，利差的变化将不会引起大规模的跨国资本流动。美元指数对跨境资本流动的冲击效应具有一定的时滞性，美元升值将引发跨境资本流出，且冲击效应持续时间明显长于利差冲击。VIX指数和人民币汇率对跨境资本流动影响较弱，但呈现非对称性特征。加息和缩表后美元升值对资本外流的推动作用明显强于加息和缩表前，表明第三轮强周期下美元升值对我国跨境资本流动的影响更大。     

Accident risk analysis based on motorway exposure: an application of benchmarking technique for human safety

Abstract

Accident risk analysis for human safety and infrastructural improvement are key requirements of the engineering sector. The purpose of this paper is to identify and prioritize problematic segments of roads based upon the risk evaluation concept and to focus on the severity of accidents regarding human life loss and easy manoeuvring. This study includes the concept of considering road segments as decision-making units for application of data envelopment analysis (DEA) technique which has no compulsion of the distribution function and critical assumptions, unlike the multiple regression models. According to the proposed methodology, a section of Motorway (M-2) Lahore-Islamabad has been analyzed. Out of 200 segments under consideration, 99 segments were selected with at least one accident and one injury or fatality. Furthermore, for risk calculation and ranking of road segments, the DEA technique along with the cross-risk matrix method was applied. This optimization technique could not only be helpful in ranking but also technical decision-making and prioritizations for safety improvement, policymaking and budget allocation.