The Impact of Strategic Investment Choices on Post-Issue Operating Performance and Survival of US IPO Firms

Abstract:  We examine the impact of strategic investment choices at the time of the IPO on: (i) the post-issue operating performance and (ii) the likelihood of failure and time-to-failure of newly public US firms. Our post-issue operating performance analysis uses various performance metrics, benchmarks, and expectation models. Overall, our evidence indicates that the extent of diversification and industry-adjusted capital expenditures intensity are generally positively related to changes in operating performance. We do not, however, document a consistent relation between industry-adjusted R&D expenditures and changes in operating performance. The results from our survival analysis suggest that pre-issue managerial commitment to R&D spending and developing diversified product lines enhance the ability of IPO issuing firms to remain viable for longer periods of time. Our study highlights the impact of various managerial investment decisions on the subsequent performance of newly public firms.     

The classy coach commute

This paper considers a corporate vision for a coach service between Oxford and London in relation to the experiences and observations made by the author through a series of journeys on the same service. The journey is presented as a whole narrative to articulate the context of the passenger performance. The paper is concerned with how time and space are performed through the journey, and considers the relationship between the passenger and vehicle in creating comfort and managing boredom. It suggests that while a vision anticipates and shapes the future through the materiality of the vehicle, the passengers and their various possessions also have to enrol in the emergent performance of ‘doing a classy commute’.     

Equity issues and changes in expectations of earnings by financial analysts

Evidence is provided on an implication of models by Myers andMajluf (1984) and Miller and Rock (1985), which predict thatequity issues convey information about firms' future earnings.Consistent with the prediction, the results show that earningsforecast revisions by financial analysts subsequent to the announcementof equity issues are significantly related to announcement periodabnormal returns.     

The Role of Target Termination Fees in REIT Mergers

The Journal of Real Estate Finance and Economics - Target termination fee provisions are widely used in merger agreements and require the target firm to pay the bidder a fixed cash fee in the event...     

Business travellers' connections to home: ICTs supporting work‐life balance

This paper examines the role of information communication technology in enabling connections to home for work‐related travellers. Although digital connectivity for work‐related tasks are well researched, the use of digital technology for home communication is under‐researched. The study draws on a qualitative study of UK‐based organisations and business travellers to explore how these travellers use ICTs for personal use while ‘on the move’. The findings reveal that organisations are supportive of work‐life balance for employees, but fail to consider specific needs of those whose work takes them away from home. For business travellers, insights are gained into practices around connecting to home and the value of this virtual presence for relationships with family while absent and work‐life balance. The study identifies and discusses practice occurring around three activities; checking in, maintaining relationships with home and sharing experiences.     

The Life Cycle of Initial Public Offering Firms

This study uses an integrated and comprehensive approach to study the evolution of IPO issuing firms to the three basic post-IPO states: survive as an independent firm, get acquired, or fail. We develop multinomial logit models that utilize information available at or prior to the IPO to predict the probability of subsequent transition to the three post-IPO states. We find that lower risk, larger firm size, higher investment banker prestige, higher pre-IPO operating performance, and higher industry R&D intensity increase the probability of survival relative to failure. We also find that higher firm size, higher industry R&D intensity, and industry concentration increase the probability of survival relative to being acquired. Finally, lower risk and higher investment banker prestige increase the probability of being acquired relative to failure. Overall, we identify several factors that influence the probability of subsequent transition to one of the three basic post-IPO states.     

To Eat or Not to Eat: Seafood Consumption Habit Formation

Healthy development and nutritional sufficiency have long been linked to consumption of a well-balanced diet, especially in primary school age children. Seafood products have been identified as a key component of a healthy diet. The consumption habits of a balanced and sustainable diet in children needs to be examined while taking into account family and environmental factors which influence eating habit formation in young children. The family setting is the first place where children acquire examples and principles of their own eating habits. Therefore, this study explores the effects of family eating habits on seafood consumption habit formation in children. Seafood intake diaries, pictures of consumed meals, as well as in-depth interviews formed a pilot study which included four families. The collected results were thematically analyzed and underpinned by principles of the Theory of Planned Behavior, Stages of Change Model, and Social Cognitive Theory. The pilot study results revealed an array of attitudes and preferences, norms (e.g., religion and parental duty), perceived drivers (e.g., health benefits), and perceived barriers (e.g., affordability and availability) which influence the formation of sustainable eating habits in children. A range of strategies (internal and external) for assisting appropriate eating habit formation including consumption of sustainable seafood by children are discussed.     

CDS contract initiations: REIT board monitoring and corporate decision outcomes

In this article, we investigate whether the negative creditor governance shock due to the initiation of credit default swap (CDS) contracts results in monitoring substitution effects between bondholders and shareholders. Using several mechanisms to test increased shareholder monitoring such as board structure, CEO–chair duality, and institutional ownership, we show that shareholder monitoring increases post-CDS contract initiation. We examine board decision outcomes and show that incentive compensation is higher for real estate investment trusts (REITs) post-CDS initiation. Furthermore, we find that post-CDS initiation, REITs undertake more acquisitions that are more likely to be paid for with stocks and take longer to complete than non-REITs. Finally, we find that REITs industry-adjusted cash holdings and dividend yield increases post-CDS initiation.     

House Buying Behavior: An Empirical Study in Cross-Cultural Buyer Behavior

Some preliminary findings concerning experience, motivation, and search are presented from a cross-cultural study of buyer behavior in housing markets. Data were obtained from probability samples of 652 households in Connecticut and Northwest England. The results include comparative analyses of several dimensions of external search, five aspects of experience, reasons for moving, and husband-wife reasons for buying. Predictive models of search are developed with multivariate regression techniques. The findings indicate that the experience and motivational variables are not very powerful predictors of search. Significant cultural differences do occur in the level of many variables, but there are some interesting similarities in the underlying factor structure.     

An Approach for Determining Optimal Product Sampling for the Diffusion of a New Product

Free samples are an effective means for introducing and promoting a new product. However, product sampling is also expensive. As a result, careful consideration must be given to the question of how many samples should be distributed. To encourage product adoption in any target market, a company needs to determine the “right” amount of sampling. In other words, a firm needs to determine the optimal number of samples that must be available for trial by the innovators, early adopters, and other key consumers who influence the adoption rate of the new product. With too few samples, the product might not reach enough of these key consumers to generate the word-of-mouth recommendations necessary for market success. On the other hand, offering too many free samples is a waste of a company's resources. Dipak Jain, Vijay Mahajan, and Eitan Muller propose a framework for determining the optimal levels of product sampling. In addition to identifying the upper bounds for the sampling levels of both durable and nondurable products, their model identifies the optimal size of product sampling based on such parameters as the coefficients of innovation and imitation, market potential, discount rate, and gross margin. Several observations are made regarding the relationships between the optimal sampling level and the various parameters used in the model. For example, a high sampling level is not appropriate for a product with a high coefficient of innovation. On the other hand, if a product has a high coefficient of imitation, the sampling level should be high because a significant number of trials are necessary for word of mouth to be effective. High sampling levels are also indicated by a high discount rate or gross margin. For durable goods, the optimal level of neutral sampling (i.e., sampling that does not specifically target innovators and early adopters) rarely exceeds 5%, and the maximum level is 7%. The optimal target sampling level is always higher than the corresponding neutral case, but, in most cases, only marginally so. For the parameter ranges chosen in this article, the maximum level for target sampling is approximately 9%. However, it is important to note that the theoretical upper bounds are no more than benchmarks for the maximum possible level of sampling. In practical situations, the optimal level may be considerably lower than these upper bounds. In such cases, the actual values will depend on the values for the various parameters used in the model.