A Data‐Driven Approach to Assessing Supply Inadequacy Risks Due to Climate‐Induced Shifts in Electricity Demand

The U.S. electric power system is increasingly vulnerable to the adverse impacts of extreme climate events. Supply inadequacy risk can result from climate‐induced shifts in electricity demand and/or damaged physical assets due to hydro‐meteorological hazards and climate change. In this article, we focus on the risks associated with the unanticipated climate‐induced demand shifts and propose a data‐driven approach to identify risk factors that render the electricity sector vulnerable in the face of future climate variability and change. More specifically, we have leveraged advanced supervised learning theory to identify the key predictors of climate‐sensitive demand in the residential, commercial, and industrial sectors. Our analysis indicates that variations in mean dew point temperature is the common major risk factor across all the three sectors. We have also conducted a statistical sensitivity analysis to assess the variability in the projected demand as a function of the key climate risk factor. We then propose the use of scenario‐based heat maps as a tool to communicate the inadequacy risks to stakeholders and decisionmakers. While we use the state of Ohio as a case study, our proposed approach is equally applicable to all other states.     

Corporate Financial Strategies for Global Competitiveness

This paper focuses on the role of corporate financial strategies to improve their market valuations and lower their cost of capital. The identification of successful strategies is accomplished within an overall strategic framework. The paper is built on 12 longitudinal case studies from the Nordic countries to illustrate the linkages between business strategy, firm motivation, and various financial strategies.     

Linking young individuals' capital to investment intentions: Comparing two cultural backgrounds

By integrating the Entrepreneurial Intentionality Model and the Theory of Planned Behaviour, we explored the effects of human, social and financial capital on young individuals' investment intentions in two groups (97 English and 97 Greeks). Results indicated that human capital is directly and indirectly related to investment intentions via, first, subjective norms and, consequently, personal attitudes and perceived behavioural control, while social capital is only indirectly related to investment intentions via perceived behavioural control. In the individualistic group (English), human capital related directly and positively with investment intentions while social capital related indirectly to investment intentions via its positive relationship to subjective norms. With regard to participants from a collectivistic background (Greeks), human capital related indirectly to investment intentions via, first, subjective norms and, consequently, personal attitudes and perceived behavioural control, while social capital related directly and indirectly to investment intentions via perceived behavioural control. Financial capital was only negatively related to investment intentions in the total and Greek sample.     

基于RS与ANN的上市公司财务困境预测模型的实证研究

本文以中国上市公司作为研究对象,采用粗糙集理论(RS)客观选出预测模型指标体系,以因财务状况异常而被列为特别处理公司(ST公司)作为界定上市公司的财务困境标志,采用人工神经网络(ANN)寻找最佳的利用公开财务数据预测中国上市公司财务困境的模型。我们的研究结果表明,总资产报酬率等18个包括现金流量类指标的财务指标有较强的区分财务困境公司和财务健康公司的能力;行业类型和资产规模对于上市公司财务困境预测具有至关重要的作用;运用ANN建立的神经网络模型有较强和较稳定的预测能力。     

WTO框架下会计国际化的中国困境与创新

本文通过分析WTO对各国会计制度的要求,探讨了WTO框架下中国会计国际化所带来的四大困境；并试图从制度变迁成本的角度,提出了以制度借鉴为主线的中国会计国际化创新战略的基本原则,进一步给出了中国会计国际化创新战略实施的路径设计图。文章认为,充分利用国际会计资源解决我国的现实问题,减少我国会计国际化变迁的成本,应该是后WTO时代中国会计国际化制度困境突破与创新的基本路径取向。     

网络时代的适时财务监控与公司治理

网络技术应用的普及使传统财务监控的变革已成为公司治理和财务管理的热点话题,本文简要揭示新概念——适时财务监控与公司治理的关系,剖析了公司不同管理层次的适时财务监控的实时需求,从公司治理的基本需要对公司价值流再造、公司信息系统变革和适时财务监控机制重构等三个方面进行了初步研究,为网络适时财务监控在公司治理实务中的应用提供了一个基本框架。     

我国政府财政统计核算的记录基础及虚拟计算操作的改革研究

本文突破了我国当前政府财政统计核算工作显著落后于国际标准的现状。根据《2001GFS》的相关建议,对我国政府财政统计核算的记录基础的改革路径进行了研究,详细阐述了由权责发生制改革带来的虚拟计算的内容,并制定了相应的操作方法。对于我国政府财政统计核算的理论研究和实践工作都具有重大的指导意义。但本文的研究尚处于初级阶段,未形成一套完整的操作体系,具体操作方法有待经基层工作检验并改进。     

金融竞争、相对资本深化与地区经济效率

 与国内外大多从财政收支角度来研究地区的策略性竞争行为不同,本文通过建立空间计量模型检验了我国地区间金融策略性行为,通过构造相对资本深度指标研究了这种背景下地区资本深化对经济效率的影响。研究表明,地区之间的金融策略性竞争行为具有显著的阶段性特征,在很大程度上受地方财政资源充裕程度的影响;从平均意义上来看,全国总体的金融配置并不符合各地资源禀赋结构所决定的最优相对资本深度,存在效率损失,但在不同区域和不同阶段存在显著的差异。因此,合理引导地方政府行为以及有效协调财政金融体制改革对于促进地方金融健康发展进而提升区域经济效率具有深远的意义。     

奇异点检测的小波方法在证券市场中的应用

本文使用小波变换模极大值方法分析次贷危机中美国证券市场的突变。研究发现,小波模极大值方法准确定位了金融资产价格异常点的具体时刻;检测出了2类奇异点,其中峰值点检测比过零点检测更稳健;这些奇异点对应了美国次贷危机主要发展阶段的重大经济事件,反应出危机中美国经济系统异常对金融市场造成的影响。文章最后进行了稳健性检验。