Firm exit after distress: differentiating between bankruptcy, voluntary liquidation and M&A

This paper examines firm-level determinants of mature firm exits after economic distress. Using nested logit models and a sample of 6,118 distress-related exits in Belgium, we analyze the type of exit that distressed firms experience. We show that 41% of the firms in our sample exit through a court driven exit procedure (mainly bankruptcy), 44% are voluntarily liquidated and 14% are acquired, merged or split (hereafter M&A). Distressed firm exit follows two distinct stages. First, a firm either decides to exit voluntarily or is forced into bankruptcy, which is the least efficient exit strategy. Compared to bankruptcy, the probability of a voluntary exit increases with higher levels of cash, lower leverage, holding no secured debt and being embedded in a group. If a firm exits voluntarily, it enters a second stage and decides either to exit through voluntary liquidation or through a M&A. Conditional on not going bankrupt, the likelihood of voluntary liquidation compared to M&A increases with higher levels of cash or secured debt, with smaller size and with an absence of group relations. We contribute to the firm exit literature by jointly analyzing three exit types and showing that bankruptcy and voluntary liquidation are fundamentally different exit routes. While voluntary liquidation is an important exit route for distressed firms, most previous studies have failed to distinguish between bankruptcy and liquidation. We hence contribute to the exit literature by showing that bankruptcy, voluntary liquidation and M&A are fundamentally distinct exit routes for distressed firms, driven by different firm level characteristics and following a two-stage process.     

经济开放与货币需求:国际金融风险及持币成本的测度

在中国开放经济体制下的基准货币需求模型中,本文将源于国际金融市场的持币成本设为遗漏潜变量,并构建特定的国际金融综合指数(CIFI)作为该潜变量的测度。借鉴机器学习与测度理论,本文利用对数误差修正模型提出了分步降维的CIFI构造算法,构造了长期CIFI和短期CIFI。结果表明,CIFI构造中的无监督降维步骤有助于减少高维金融数据中的冗余信息。实证分析发现,国际机会成本对中国货币需求具有规律性的前导影响,而在2007至2008年国际金融危机期间,央行的应急措施对长期CIFI所代表的非均衡冲击起到明显的阻截效果,对短期CIFI的影响基本是持续不变的。通过综合指数构造与宏观货币需求模型的算法连接,可以利用CIFI的构成结构从前导时间与影响强度两方面追踪冲击货币需求的国际金融风险的具体来源,这为宏观决策者监测国际金融市场提供了颇有规律的信息。在方法论上,本研究为如何利用模型监测国际金融市场影响宏观经济开辟了一条新路。     

Healthcare resource utilization by patients with treatment-refractory myasthenia gravis in England

Aims: To examine healthcare resource utilization associated with refractory myasthenia gravis (MG) in England.

Materials and methods: This was a retrospective cohort study of linked data from the Clinical Practice Research Datalink and the Hospital Episode Statistics database collected between 1997 and 2016. Included patients were ≥18?years of age at the index MG diagnosis. Patients with refractory MG were identified using an algorithm based on treatments received. Healthcare resource utilization since the index date was compared between refractory and non-refractory cohorts.

Results: The study included 1149 patients with MG, of whom 66 (5.7%) were refractory. Sex and age at diagnosis did not significantly differ between the refractory and non-refractory cohorts. Rates of healthcare resource utilization per person-year were significantly higher (p?p?Limitations: The algorithm for identifying refractory patients did not include clinical criteria. Also, treatments administered in hospitals or by specialists were not available in the databases.

Conclusions: Patients in England with refractory MG more often visit healthcare providers, are hospitalized and visit an emergency room than patients with non-refractory MG.     

The relationship between motivation,learning approaches,academic performance and time spent

Previous literature calls for further investigation in terms of precedents and consequences of learning approaches (deep learning and surface learning). Motivation as precedent and time spent and academic performance as consequences are addressed in this paper. The study is administered in a first-year undergraduate course. Results show that the accounting students have a slightly higher score for deep learning compared to surface learning. Moreover, high intrinsic motivation and extrinsic motivation have a significant positive influence on deep learning. Next, deep learning leads to higher academic performance; surface learning on the other hand leads to lower academic performance. The effect of deep learning on performance still holds, when we control for time spent, gender and ability. Consequently we can conclude that a deep learning approach is much more than ‘simply’ spending a lot of time on studying.     

Risky business—reconceptualizing risk and innovation in public services

This paper explores the relationship between risk and innovation in public services, presenting the state of the literature across different disciplines and the academic and policy literature. It suggests a novel framework to approach risk, emphasising the importance of differentiating between different types of risk and risk management. The paper offers a typology of risk types and management approaches that indicates different effects on the type of public service innovation. It concludes by considering the implications for theory and practice.     

Case Studies of Farmers' Use of Information Systems

Exploratory case study research was initiated to study the evolution of management information systems and their use in operational and strategic decisions. The unit of analysis was the management team on farms with innovative or successful information systems. Human factors, such as an analytical nature and commitment to lifelong learning, were perceived to be the most important common elements. Production variables often were critical success factors. Managers annually developed financial statements; enterprise and "what if" analyses were conducted regularly. Learning about questions that innovative producers have difficulty addressing was time-consuming but instructive with respect to research and educational needs.     

The robustness of the asymmetrically dominated effect: Buying frames,phantom alternatives,and in‐store purchases

Given a choice set of two alternatives, the addition of a third alternative that is clearly inferior to one of the existing alternatives (but not the other), can result in a shift of preference to the alternative that dominates the new alternative. The basic asymmetrically dominated effect, as it is called, is first demonstrated under two different buying frames of mind (“What would you buy?” and “What would most people buy?”). It is then shown that the third alternative may be recognized as an unavailable option, yet still cause a preference shift. Finally, the asymmetrically dominated effect is demonstrated for real, in‐store purchases. It is concluded that the effect is robust, has a wide scope, is quite sizeable, and is of practical significance. © 1999 John Wiley & Sons, Inc.     

Valuation of Angel‐Backed Companies: The Role of Investor Human Capital

This article examines how angel investors' human capital affects the valuation of their portfolio companies, based on the pre‐money valuation of 123 investment rounds in 58 Belgian companies. We argue that angel investors with higher levels of human capital will perceive a higher value‐creating potential in entrepreneurial opportunities through their ability to see more value‐creating options, a higher value‐adding potential post‐investment, and an enhanced legitimacy provided to the venture. Economic theories suggest they appropriate these rents through lower valuations, whereas stewardship theory suggests they share value creation with entrepreneurs. Consistent with stewardship theory, we show angel investors negotiate higher valuations when they have higher levels of human capital, more specifically if they studied longer, have a business degree, more entrepreneurial experience, or previous professional law experience. As such, our results contrast with the behavior of venture capital investors who negotiate lower valuations when they have more experience.     

The impact of recent mental health changes on employment: new evidence from longitudinal data

This study uses longitudinal data and four different measures of mental health to tease out the impact of psychiatric disorder onsets and recoveries on employment outcomes. Results suggest that developing a mental health problem leads to a significant increase in the probability of transitioning to non-employment, while a recovery increases the probability of return to work among the not employed with a mental health problem. No consistent effect was found on hours worked and earnings. Research and policy attention is needed with respect to early interventions such as job retention programmes to help workers with mental health problems remain employed as well as interventions that may lead to recovery and return to work. More research is needed especially with data and models that can differentiate between the effects of mental health onsets and recoveries on employment exit and return to work transitions.