External funding of major capital projects in the UK Higher Education sector: issues of demand,supply and market timing?

The aim of this paper is to consider the sources of finance used to support major capital expenditure in the UK Higher Education sector and to reflect on any differences between traditional corporate finance theory and practice in the UK university sector. Utilising both HESA data returns and published annual accounts, an in-depth analysis using a logit structure is carried out on data from the top 63 UK universities over the period 2014–2017, to establish the range of funding sources adopted for major capital projects, all set within the context of the UK macro environment and a period of low interest rates. The research also carries out a survey of funders to understand the decision criteria used by lenders active in the Higher Education sector and a survey of university finance directors to determine the use of the funds, the reasons behind past lending decisions and to ascertain likely future demand for finance to fund major capital projects.     

Does partnering with the World Bank shield investors from political risks in less developed countries?

This study explores whether partnering with the World Bank’s International Finance Corporation (IFC) protects foreign investors from aggressive actions by host countries’ governments. Building on the obsolescing bargaining model, we theorize that host states fear that hostile actions towards IFC-supported investments will damage their relationships with the World Bank. Within this context IFC support deters host government aggression towards investments. We assess our argument using country-level panel data as well as interviews with a sample of high-level managers. Findings suggest that IFC-support helps to reduce host state aggression against investing firms.     

地方财政政策逆周期调节：财政分权还是债务增发*

财政政策工具实际操作偏离最初设计将会降低政策工具的调控效果，导致宏观经济波动加剧。针对地方政府财政政策的逆周期性调控目标，本文关注财政分权深化和政府债务增发的逆周期性效应。研究发现：地方政府财政政策总体呈现顺周期特征。财政分权程度的提高放大了地方财政政策的顺周期性。地方政府债务增发使地方财政政策呈现逆周期特征。地方政府财政政策及其收入面、支出面均呈现顺周期性，由“顺”转“逆”的债务平衡点分别为0137，0113，0209。当前绝大部分地区的债务规模都在债务平衡点之下。驱动地方政府债务逆周期调控的内在因素是官员晋升激励。晋升激励的程度越高，地方债务逆周期调控的力度就越大。但外部市场融资环境的波动削弱了地方政府债务逆周期调控的力度。本文的政策主张是，不宜过度财政分权，应该扩大地方债发行规模，促使地方财政政策逆周期调节。     

基于GM(1,1)模型的造纸业上市公司财务研究——以冠豪高新为例

财务风险是企业调整发展战略、提升管理水平的重要参考指标之一。财务风险预测模型的建立能够预测企业在中短期内的财务风险,为企业敲响警钟。以造纸业上市公司冠豪高新为例,选取近五年财务杠杆系数为风险指标,建立GM(1,1)风险预测模型,结果显示该公司短期内财务风险呈下降趋势,调查发现这主要得益于产品成本的降低以及营销策略的改变。     

女性高管对企业研发创新的影响：一个有调节的中介模型

企业创新是企业持续发展的内在动力,也是推动国家产业升级、建设创新型国家的重要举措.近年来女性高管比重不断提高,学术界开始关注女性高管对企业研发创新的影响.以沪深两市2010—2018年A股上市公司为研究样本,实证检验女性高管对企业研发创新投入的影响.结果表明:女性高管负向影响企业研发创新投入;其负向作用以风险承担为中介实现;企业所有制调节了中介过程的后半段路径.     

Corporate commitment to climate change action,carbon risk exposure,and a firm's debt financing policy

Motivated by the rising consensus that corporate engagement in climate change actions holds the key for society's transition into environmentally resilient economy, the study examines whether a firm's commitment to climate change action and its carbon risk exposure shape the firm's debt financing policy. Based on insights drawn from signaling, corporate reputation, and agency theories, we develop models that link corporate commitment to climate change actions and a firm's carbon risk exposure with its debt financing decisions. Using data drawn from S&P 500 companies, for years 2015 to 2019, we find a robust evidence that firms that engage in higher levels of commitment to climate change actions issue a higher proportion of debt with longer terms to maturity, even after controlling for their carbon risk exposure. However, we do not find a robust evidence corroborating an association between firms' carbon risk exposure and their debt financing policy. These findings are consistent with arguments that high-commitment firms enjoy positive reputation, better credit rating, and reduced agency and information asymmetry costs, allowing them to gain easier access to long-term debt markets.     

我国银行衍生产品体系发展的问题与对策研究

我国银行衍生产品体系是银行业重要的体系之一。通过我国期货交易细则、期权市场交易额等相关信息及数据的搜集,并将数据进行趋势化分析,从而对我国银行衍生产品体系的发展特点和问题进行研究,研究发现:我国银行衍生产品体系具有法律规范体系初步完善、风险评估体系国际化、衍生品市场发展迅猛等发展特点,但存在衍生品市场缺乏市场竞争力、不适应政策变化、不能自主定价等问题,提出了建立信息明确有序的交易体系、增强竞争力争取定价权益等建议。     

Multilayer financial networks and systemic importance: Evidence from China

In this paper, we develop a multilayer network structure and reveal the relationship between network structure and systemic risk. Unlike many previous studies, our model considers both liability and cross-holding of shares between financial institutions simultaneously. We propose a new systemic risk measurement by exploring the dynamic mechanism of financial contagion in the multilayer network. We display the network structure of Chinese financial institutions, including connectivity and diversity, and identify the systemic importance of them. We demonstrate that the multilayer network plays a non-linear role in financial risk spreading. Using the panel regression model and several experiment evidences, we show that the systemic risk can be explained more effectively by the linkage diversity more than the connectivity at both the institutional level and the system level. Our results highlight the importance of considering contagion mechanisms that go beyond a simple single-layer network structure.     

国有企业如何做好投资项目财务风险管理

作为国有企业经营管理的重要组成部分,财务风险管理对于投资项目经济效益的保障具有积极作用。论文在阐述国有企业投资项目财务风险管理必要性的基础上,就现阶段财务风险管理的问题展开分析,并指出国有企业投资项目财务风险管理的策略。期望能进一步提升财务风险管理质量,确保投资项目资金运行的安全性,进而促进国有企业的进一步发展。     

Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.