Death spiral PIPEs: a reconsideration of the evidence

We challenge the view that PIPEs lead to unfavourable outcomes for issuing firms. We show that structured PIPEs do not have significant negative CARs when a matched firm benchmark is used for computing CARs and when sample selection bias is taken into account. Indeed, structured PIPEs have significantly higher positive skewness, indicating superior optionality, consistent with the real option argument. We also show that the 2002 intervention by the Securities and Exchange Corporation (SEC) has led to unintended consequences, with the substitution of ‘mom and pop’ investors for hedge fund investors in the structured PIPE market.     

Private benefits from control block trades in the Spanish stock exchange

A control block trade can be explained by the expectation of financial gains, shared by all shareholders, or by the expectation of private benefits, exclusive to the buyer and possibly at the expense of other shareholders’ rents. The market for corporate control contributes to social welfare when it improves the efficiency of the allocation of resources. When the objective of a block transaction is private benefits, social welfare may be negatively impacted as minority shareholders could withdraw from the market. Therefore the estimation of private benefits would allow the efficiency of the market for corporate control to be assessed. Specifically, the aim of this paper is to calculate private benefits in the Spanish market for partial control. Using a sample of partial control transactions over the period 1990–2016, we find that the median of private benefits is negative, therefore it appears that there is no inefficient use of resources in the Spanish partial control market as a whole, however private costs are detected. The variability of private benefits is explained in a significant way by variables related to the control structure of the target firm, such as the controlling position of the buyer after the transaction, the contestability of control and the cross-shareholdings between the buyer and large shareholders. Performance and the size of the firm are significant as well.     

结构性违约、信用分层与评级机构的策略性反应——来自中国信用债市场的证据

2014年以来，以主要集中于民企的"结构性违约"宣告了中国信用债市场刚性兑付的"结构性打破"，债券市场进入了新的发展阶段。利用2013-2017年债券数据，本文深入分析了结构性违约对评级机构行为和效率的影响，主要有如下发现：首先，信用评级的市场公信力会因政府隐性担保导致的"刚性兑付"而削弱；其次，结构性违约爆发之后，信用评级的整体效率有所提升，但在不同发行主体呈现分化，对于非城投类企业，信用评级对发行利差的影响显著增大，意味着评级公信力的显著提升，而对于城投类企业，评级效率并未明显改善；进一步研究表明，出现这种情况的原因在于评级机构在违约后采取了差异化的评级策略，对于违约风险较大的非城投类债券，评级机构倾向采取"收紧评级"的策略；对于违约风险较低的城投债，评级机构倾向于采取"放宽评级"的策略。这种策略性行为是导致市场"信用分层"的重要原因，并有可能推升民营企业的融资成本。     

Ownership discrimination and private firms financing in China

This study examines the financing/funding of private firms in China. Our results show that private firms are significantly less funded through formal financing channels such as bank loans than state-owned firms, and hence have to resort to alternative financing such as trade credit. Consistent with the theoretical expectation and literature, there is a substitution effect between trade credit and bank loans for private firms, but this effect is much weaker compared to that of state-owned firms. Moreover, while the univariate comparisons indicate that private firms obtain more notes payable than state-owned firms, the multivariate regression analyses show that the relation between bank loan and notes payable is positive and indifferent between private and state-owned firms.     

工业体系和民营企业兴起——基于252家中国最大民营制造业企业的经验研究

主流经济学家把改革开放后民营企业的大规模兴起，主要归因为市场经济条件下发挥企业家精神和遵循比较优势的必然结果。但是这无法解释为什么民营企业在兴起之初就广泛和快速地进入到各个工业，尤其是技术和资本密集型工业。基于中国工业史和252家中国最大民营制造业企业创业发展史的历史证据，文章找回"工业体系"这一被主流所忽略的重大历史现象和学术概念，从而首次提出一种理解中国民营企业发展独特性的结构性解释。文章发现：从计划经济时期继承而来的门类齐全和独立完整的工业体系，是解释民营企业创业和发展独特性的关键变量；已有的由国有企业和科研院所组成的工业体系，从市场机会、技术能力和组织资源等方面塑造了民营企业的创业选择和发展路径。所以，中国民营企业的快速发展不是仅凭自由市场就会自动出现的普遍现象，而是在市场条件下充分利用工业体系提供的技术和市场条件才得以出现的特殊现象。     

Private label shoppers between fast fashion trends and status symbolism – A customer characteristics investigation

The question who the private label prone consumer is has received a lot of attention in research. While we so far have a good understanding of the private label shopper in the grocery industry, there is limited research in other industries. We assess private label shopper characteristics as a driver of private label choice using a unique data set of an online only fashion retailer covering 68,147 women shoes consumers in Germany. Fashion consumers are faced with a tradeoff between price and seasonality of fashion items as discounts are used to sell last season's stock. We find that private label choice is positively influenced by price orientation and less by discount proneness. Thus, private label shoppers are rather a fashion savvy segment focusing on buying more in season but at a lower price.     

Public and private healthcare services: What drives the choice?

This paper has explored patients' propensity to consume private healthcare services. We based our analysis on the typical tangible and intangible (for instance, responsiveness, reliability, assurance and staff empathy) domains of the SERVQUAL and SERVPERF methods. These variables may influence patients' decision-making when they choose between the public and private sectors. We combined factor analysis (to obtain a set of latent factors related to perceived quality) and a partial proportional ordered logit model to estimate the probability that a patient would access private healthcare services. To test the main hypotheses, we used data from a stratified sample in Sardinia, a peripheral region of Italy. Findings revealed that private and public healthcare are substitutes, especially for primary/specialised services. Patients who used public healthcare frequently and had a low income were unlikely to change to private healthcare or to recommend private services. ‘Responsiveness’ and perceptions on ‘tangibles’ were key in determining the probability that a patient would choose and recommend private services. This paper offers a multifaceted framework that can be used in future research to generalise these findings, especially in insular regions that are constrained by mobility.     

The moderating effect of average wage and number of stores on private label market share: A hierarchical linear model analysis

Existing research on private label market share is primarily in the context of the Western market. The Chinese market context research is scarce, although private labels are developing rapidly in the past several years. This study investigates how the average wage and number of stores affect the Chinese market's private label market share. More importantly, this paper examines the moderating effect of the average wage and the number of stores on the relationship between the private label market share and product assortment as well as the relationship between the private label market share and pricing. Data collected from a Chinese supply chain dyad is analyzed to study category management using hierarchical linear models. The results reveal that the average wage and the number of stores positively affect the private label market share. Furthermore, the average wage enhances the negative effect of the number of brands, weakens the negative effect of the private label price, weakens the positive effect of national brand price. Meanwhile, the number of stores enhances the positive effect of the SKU proliferation of private label, enhances the negative effects of the number of brands, and enhances the negative effect of the private label price. This study contributes to category management. Furthermore, the findings will be valuable to domestic and international grocery marketers and retailers operating private labels in China.     

Balancing risk with virtual private networking during a pandemic

When the pandemic struck and teaching went online worldwide, universities had to make pressing decisions that balanced cybersecurity against other factors, including health and safety, usability, and cost. One such challenge Indiana University (IU) faced was how to accommodate the secure telecommunications needs of 130,000 faculty, staff, and students who would now be teaching, learning, doing research, and working from home. Some universities reflexively promoted virtual private network (VPN) use for all activities. Such an approach would have been unsustainable at IU, however, owing both to the licenses and resources needed for the sheer number of users and to the high-throughput applications on which they rely. Perhaps even worse, it would have increased the chances that the VPN would be unavailable during a critical incident or other situation in which secure communications must be guaranteed. Instead, IU launched an awareness campaign demonstrating exactly when VPN use is and isn’t needed. In addition, network staff employed a VPN feature called split tunneling to reduce the load. This article discusses the advantages and disadvantages of this approach and how IU made the decision to balance both sides of the risk equation to ensure the continued advancement of its mission throughout the pandemic.     

Energy‐milk price transmission at the product brand level

This article estimates the pass‐through rates between diesel fuel and retail milk prices at the product brand level. Using a random coefficient logit demand model and taking the direct and indirect impacts of energy prices, this research identifies changes in pass‐through rates before and after the great recession in 2008. Empirical results show that diesel prices significantly impacted the retail prices of milk products and are an important determinant of food price inflation. Pass‐through rates are estimated to range from 0.16 to approximately 0.60 through 2008 with an average of 0.22 for the whole period. Statistical tests indicate that pass‐through rates before June 2008 were significantly higher than after June 2008 when they dropped significantly to 0.04 to 0.17. Interestingly, private label brands have the lowest pass‐through rates, implying that compared to manufacturer brands, private label prices are more insulated from diesel price shocks.