Net share issues and the cross‐section of equity returns under a dividend imputation tax system

Despite considerable empirical evidence reporting a negative relationship between net share issuance and subsequent returns, it remains unresolved whether this anomaly is explained by risk or investor irrationality. This study examines the net share issuance anomaly using seasoned equity offerings before and after the introduction of an imputation tax system. We report robust evidence of a negative relationship between net share issuance and returns post‐imputation, but no relationship pre‐imputation. Our results provide evidence to support the international pervasiveness of the net share issuance anomaly, but more importantly suggest that this anomaly may be explained by risk.     

University of Texas Roundtable on Financing and Managing Energy Investments in a Low‐Price Environment

During the past 18 months, the U.S. oil industry has seen oil prices plunge from well over $100 a barrel to under $30. In a session that was part of a recent Private Equity Conference at the University of Texas in Austin, the CEO of a small independent producer and a representative of a large global oil and gas company discussed the challenges of financing and operating energy companies in today's low‐price environment with the director of energy research at a brokerage firm, the senior partner responsible for the natural resource investments of a well‐known private equity firm, and the head of the oil and gas restructuring practice of a national law firm. The panelists appeared to reach a consensus on at least the following three arguments:

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Integrating Systemic Risk into Modern Portfolio Theory and Practice

Conventional wisdom holds that the performance of investment managers should be measured against some broad market index such as the S&P 500. The broad market averages provide a useful benchmark because they are assumed to be beyond the influence of investment managers and provide a way of capturing what financial economists call “systematic risk,” which is the part of total risk that cannot be avoided through portfolio diversification. But one clear limitation of such an approach to performance evaluation is that by focusing on risks and rewards at the portfolio level only, it fails to consider risks and rewards at a systemic level, where the performance of all portfolios is increasingly likely to be affected. The author begins by making the case that the performance evaluation and collective decision‐making of investment managers could have the effect of increasing the level of systematic risk in both the markets and the real economy. Then, after suggesting that the strength or weakness of environmental, social, and governance (ESG) frameworks can have substantial effects on overall market returns, he discusses a number of efforts currently underway to integrate ESG factors into portfolio‐level decision‐making. The author closes by urging asset owners to take the following three steps to help bridge the gap between investment decision‐making and ESG consequences: (1) acknowledge the connection between investment decision‐making and systems‐level risks and rewards; (2) determine which systemic frameworks are most appropriate and useful for their purposes; and (3) implement investment practices that allow them to manage systemic‐level risks and rewards while simultaneously achieving competitive financial returns in their portfolios. With the help of new measurement and management tools, asset owners can strengthen systemic frameworks, communicate the importance of ESG performance to their investees and investors, and align their efforts with those of governmental and non‐governmental organizations to limit systemic risk.     

Predicting mispricing of initial public offerings

This article investigates the ability of neural network models to predict mispricing of initial public offerings (IPOs). The aim is to improve the modest explanatory power of existing models that are based on the theory of asymmetrically informed economic agents surrounding post‐issue market value of IPOs. This study develops and compares linear regression and neural network models. The results show that modelling variable interactions and non‐linearity allows a potentially fruitful approach for stagging in IPOs. Neural networks have been criticized for being a black box; however, this paper shows that, by using sensitivity analysis, neural networks can provide a reasonable explanation of their predictive behaviour and direction of association between variables. Copyright © 2005 John Wiley & Sons, Ltd.     

Acknowledging the importance of BAI accounts

For hospitals, balance after insurance (BAI) refers to revenue from uninsured patients and from patients with patient responsibility after insurance. BAI is a rapidly growing share of hospital revenue as a result of substitution from high-deductible commercial insurance plans-revenue that tends to convert to cash relatively easily and quickly-meaning that an increasing share of hospital cash flow is now due from the patient. Hospitals should make sure that their self-pay patients receive excellent customer service: It not only improves the likelihood of a greater yield, but also-perhaps more important-helps ensure customer loyalty and willingness to recommend the facility to others.     

An investigation of the corporate identity construct in China: Managerial evidence from the high technology industry

The study develops and extends existing frameworks of corporate identity and investigates what organisations in China perceive as essential components of the corporate identity concept including their dimensions and contents. The study adopted a qualitative approach and the method of research was a case study. Using the soft-laddering approach, and a multidisciplinary categorisation of analyses of corporate literature and websites, a systematic analysis of the corporate identity was carried out. Different from previous studies, the study reveals new dimensions on the basis of the industry practitioners’ views. The context of China has shown to influence a different focus, more significantly around the ‘impression’ that corporate identity can contribute with commercially. It is suggested that new high-tech firms in China may not have enough experience and capacity to engage in a more holistic corporate identity concept provided. The lack of such experience is particularly likely for new firms, which are still in their early stage of development. Implications for management of corporate identity in China are presented along with directions for further research in the marketing communications literature.     

“一带一路”归国学术人才学科分布分析

运用简历分析研究方法,对中国109所"211工程大学"教师的简历进行大数据分析,研究了来自"一带一路"沿线国家和地区的归国学术人才的学科分布情况。研究结果显示:来自"一带一路"沿线国家和地区的归国学术人才主要来自新加坡、俄罗斯和以色列,主要流入北京、上海和江苏;来自"一带一路"沿线国家和地区的归国学术人才的学科背景主要是工学和理学,具体的专业方向是材料学、工程技术类、电子信息类、土木类、化学、生物学和物理学。     

Conflict technology in cooperation: The group size paradox revisited

This paper studies the implications of punishment‐induced conflict in a public goods game. It shows, under plausible assumptions, how larger group size sometimes enhances punishing behavior in social dilemmas and hence supports higher levels of cooperation. Unlike existing approaches that focus on uncoordinated punishment, I consider punishment as a coordinated activity that may be resisted by those being punished and study the implications of punishment‐induced conflict situations. Developing a conflict model of punishment and combining it with a standard public good game, I show that coordinated punishment can yield the concentration effect of punishment, leading to a larger group advantage; that is, the larger the group, the easier it becomes to organize cooperation. The key idea is that when punishers coordinate their punishment, punishers as a coalition successfully divide defectors and punish each defector one by one. Surprisingly, even when coordination among punishers decays as group size increases, as long as the rate of decaying remains relatively slow the larger group advantage still obtains.