Changes in volatility of credit spread and market efficiency during rapid growth of credit-related securities

This paper investigates the changes in credit spread volatility during 1993–2001. We find that the credit spreads between junk-grade corporate bonds and Treasury bonds were significantly more volatile in the second half of this period when credit-related securities became popular. In contrast, investment-grade bonds exhibited no significant change in volatility. The junk bonds variance ratios changed from being less than one to greater than one. Using the GJR-Garch model, the conditional volatilities of junk bonds increased in the second half of the period and the mean reversion speeds slowed, suggesting a longer time for mean reversion to occur. Our analysis rules out treasury volatility, credit spread level, equity market return, T-bill rate, curvature of the Treasury curve, financial crisis, quantity of defaults and standard deviation of defaults as explanations for the increase in junk bond volatility. In contrast, volatility of equity returns provides a partial explanation of junk bond spread volatility in the later period.     

AN AXIOMATIZATION OF QUANTILES ON THE DOMAIN OF DISTRIBUTION FUNCTIONS

In an environment in which the primitive is the space of distribution functions, we characterize the quantile functions by the axioms ordinal covariance, monotonicity with respect to first-order stochastic dominance, and upper semicontinuity. We show how to characterize the VaR in a similar manner.     

University – industry collaboration in R&D: the role of labor market rigidity

We investigate how R&D university – industry collaboration (R&D UIC) is influenced by labor market rigidity. While it is well-established that an educated and skilled workforce will facilitate R&D UIC, another aspect of these alliances has been under-researched: the role of labor market rigidity, in particular the difficulties employers face in hiring and firing workers. We hypothesize that the size of the R&D labor pool in a country will encourage R&D UIC, and that the ease with which employers are legally allowed to hire and fire will directly and indirectly influence R&D UIC. Integrating data from various sources, we test our model on a sample of 73 countries for which information on the size of the R&D labor pool and labor market regulations are available. We also conduct a robustness test using a different proxy for R&D labor pool on a larger sample of 109 countries. Results confirm the strong link between a country's R&D labor pool and R&D UIC, as well as direct negative impacts of hiring and firing rigidity and an indirect negative impact of hiring rigidity. The findings have implications for managers, policy makers, and researchers of R&D collaboration between universities and industry.     

Time and process in business network research

This Special Issue of Industrial Marketing Management brings together a range of articles by authors who have undertaken the difficult task of researching time and process in business networks. Understanding interaction processes within a business relationship and network perspective requires the elaboration of time, the central construct by which humans grasp and comprehend change. As an introduction to the articles we present the concept of human time and delineate accordingly three methodological approaches available for the study of network processes. We also introduce the authors' contributions to the special issue that broadly divide into two groups: those that deal with methodological issues concerning the study of processes in business networks and those that consider the role of time and timing for studying business processes.     

Towards an Understanding of the Relationship between Mood,Emotions, Service Quality and Customer Loyalty Intentions

The purpose of this study was to explore the relationship between mood states, emotions, perceptions of service quality and consumer loyalty in an extended service context. A quantitative research design, using multivariate statistical techniques, facilitated the data analysis. The sample consisted of 220 students from a private university in Switzerland. The results indicated that all of the variables were significantly correlated and mood state was demonstrated to influence the way judgements were formed. The contribution of mood to explaining the variance in loyalty was however minimal.     

An optimization model for volunteer assignments in humanitarian organizations

One of the challenges facing humanitarian organizations is that there exist limited decision technologies that are tailored specifically to their needs. While employee workforce management models have been the topic of extensive research over the past decades, very little work has yet concentrated on the problem of managing volunteers for humanitarian organizations. This paper develops a multi-criteria optimization model to assist in the assignment of volunteers to tasks, based upon a series of principles from the field of volunteer management. In particular, it offers a new volunteer management approach for incorporating the decision maker's preferences and knowledge into the volunteer assignment process, thus allowing him or her to closely examine the tradeoffs between potentially conflicting objectives. Test results illustrate the model's ability to capture these tradeoffs and represent the imprecision inherent in the work of humanitarian organizations, and thus demonstrate its ability to support efficient and effective volunteer management.     

TRANSATLANTIC CAPITAL MARKET PRICE DISCOVERY DURING A FINANCIAL CRISIS

Previous results show relatively small amounts of time variation in the Hasbrouck (1995) information share across international markets. Using data from a security that was cross‐listed on the New York and London Stock Exchanges in the 1860s, we find that the information share changes dramatically during a financial crisis that began in the foreign market.     

The Effects of Future Capital Investment and R&D Expenditures on Firms' Liquidity

The paper explores factors that lead to accumulation or decumulation of firms' cash reserves. In particular, the paper empirically examines whether additional future fixed capital and R&D investment expenditures induce firms to change their liquidity ratio while considering the role of market imperfections. Implementing a dynamic framework on a panel of US, UK, and German firms, it is found that firms in all three countries make larger adjustments to cash holdings when they plan additional future R&D rather than fixed capital investment expenditures. This behavior is particularly prevalent among financially constrained firms.     

An expectations-driven interpretation of the “Great Recession”

The boom-years preceding the “great recession” were a time of rapid innovation in the financial industry. We explore the idea that both the boom and eventual bust emerged from overoptimistic expectations of efficiency-gains in the financial sector. We treat the bankruptcy costs facing intermediaries in a costly state verification problem as a stochastic process, and model the boom-bust in terms of an unfulfilled news-shock where the expected fall in costs are eventually not realized. In response to a change in expectations only, the model generates a boom-bust cycle in aggregate activity, asset prices and leverage, and a countercyclical credit spread.