我国地方财政困境辨析

地方政府是一国政府体系中极为重要的组成部分，地方政府职能作用的合理化和地方财政的有效运行是衡量一国整体财政运行质量的重要指标。随着中国经济体制改革和现代化建设的推进，地方财政尤其是县乡财政的困境问题日益凸现，成为中国市场经济条件下建立健全公共财政框架的一个桎梏。通过从中国地方财政困境的现状入手，着重分析了这种困境形成的多方面原因，并进而提出化解困境的几点对策建议。     

地方应用型本科院校金融工程专业产学研人才培养模式探索

地方应用型本科院校金融工程专业建设正面临着教育部差异化人才培养政策、国家供给侧改革战略和数字经济算能需求三大复杂环境,如何提升人才培养质量,是个紧迫的专业教育改革热点问题。文章基于产学研合作培养的制度基础、社会基础和技术基础,针对金融工程本科专业培养产学研制度、培养内容和实践进行了创新性探索。     

基于Logit模型的上市公司财务预警分析

上市公司财务预警对投资者理性投资具有重要的参考价值，采用Logit非线性模型，并考虑到上市公司公开披露信息的可获取性，筛选若干个常用的财务指标，经过严格的实证数据测试，建立了上市公司财务预警的Logit模型，运用该模型对ST公司进行了戴帽预测。     

基于GONE理论的LK公司舞弊动因分析与审计风险防范

继浑水发布做空报告后,LK公司于2020年4月自曝2019年年度审计期间发现相关业务数据巨额造假,引起社会广泛关注.企业战略,尤其是商业模式,已经成为管理层产生财务报表层次重大错报风险的重要诱因.文章以GONE理论作为工具来识别和预判财务舞弊的倾向和风险,解释了企业管理层进行财务舞弊的动因.做空机构基于企业战略层面的潜在风险,有针对性地采取手段并取得了有力证据.注册会计师行业应思考如何发挥职业判断在防范审计风险中的作用,尤其要克服认知偏差对保持职业怀疑的影响,同时应借鉴并改进审计程序,以有效降低审计风险.     

基于战略视角的财务状况质量分析——以SY重工为例

了解和掌握企业的整体状况及发展质量是利益相关者保护其权益的关键,也是市场经济健康发展的必然要求.财务数据一方面能够体现企业进行的经济业务活动,另一方面又能检验企业经济活动的执行情况.因此,有效分析企业财务状况质量对综合评价企业的质量具有重要意义.文章从战略视角出发,参考SY重工2019年财务报告数据,对其发展战略及管理质量进行了评价.     

川渝毗邻地区合作示范区协同发展研究 ———基于哈肯模型的实证分析

摘 要：本文将川渝毗邻地区合作共建区域发展功能平台统称为川渝毗邻地区合作示范区（以下简称“示范区”）,并以此为研究对象,通过泰尔L指数,测度示范区经济发展差异,随后运用哈肯模型、耦合协调和灰色关联度等方法进行协调度分析。研究发现,各示范区经济发展差异较小,经济发展趋同,加剧示范区之间的竞争,削弱协同合作,抑制比较优势的发挥和提升;成渝“双核”对示范区的辐射带动作用不明显,示范区总体与成渝“双核”的差距仍然较大;在示范区协同发展中,经济金融活动发挥着主导作用,经济环境与金融支持协调发展趋势向好,金融支持对示范区协同发展有显著的正向影响。基于此,建议大力发展新型金融业态,为优势产业发展营造良好的金融支持环境;开辟特色金融“试验区”,引入特色金融活水,有针对性地加强各示范区优势产业和特色产业的金融支持,进一步提升比较优势,强化示范区与成渝“双核”的经济联系,为成渝地区双城经济圈高质量发展提供重要支撑。     

The impact of opacity on bank valuation during the global financial crisis: A channel analysis

Prior literature suggests that opacity in the banking industry is mainly caused by a lack of informativeness in the assessment of the quality of bank assets. Examining a sample of bank holding companies in the United States, we find that there is a negative relationship between opacity and bank valuation during the 2007–2009 global financial crisis. We further attempt to identify two potential channels through which opacity negatively affects bank valuation during the financial crisis: a cash flow channel and an expected return channel. We show that one channel flows from bank profitability, measured by return on equity and return on assets, confirming a cash flow channel, whereas an expected return channel, proxied by the implied cost of capital, only works for small banks. Overall, this study sheds light on the relationship between in-transparency and bank value discount during a global recession.     

Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis

This study establishes time–frequency networks of sovereign and bank contagion in the eurozone over the period 2009–2021. By applying discrete wavelet transformation, daily CDS premia of sovereigns and systemically important banks are decomposed into multi-horizon components to specify directed and dependence-weighted networks. Dynamic analysis shows that the network connectivity and the strength of the dependencies are significantly lower after the introduction of the European Banking Union in 2014. While the strength effect is pronounced across all time horizons, the network connectivity only reduces in the short and medium run. This provides evidence that the new regulatory framework promotes financial stability but is more effective in the short and medium horizons. The consideration of the COVID-19 pandemic as a real-life stress test confirms these findings as the strength of the dependencies keeps at significantly lower levels.     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

CEO power and annual report reading difficulty

We examine the impact of CEO power on reading difficulty of corporate annual reports. We find that CEO power is positively related to reading difficulty, implying that annual reports of corporations with powerful CEOs are difficult to read and understand. More importantly, we find that the relation between CEO power and reading difficulty is moderated by earnings performance or corporate governance. Additional findings suggest that this relation becomes stronger for firms with lower financial reporting quality or for CEOs with shorter tenure. Our study not only joins the debate on the consequences of powerful CEOs but also uncovers several factors that moderate the relation between CEO power and annual report reading difficulty.