The Information Content of Guidance and Earnings

I compare the information content of quarterly earnings guidance and quarterly earnings by examining their associations with current and future stock returns when the two signals are bundled at earnings announcements. At the bundled announcement, I find a significantly stronger association between announcement returns and guidance news. From the day after the bundled announcement through the next earnings announcement, both signals generate abnormal return drifts of about 200 basis points. However, the timing of the post-announcement returns differs considerably. For guidance, about 50% of the post-announcement drift occurs at the next earnings announcement. In contrast, for earnings, about 20% of the preceding drift reverses at the next earnings announcement. Investor ignorance of the drift following guidance news coupled with a fixation on post-earnings announcement drift potentially explains this surprising difference in the timing of the post-announcement returns. Overall, this study indicates that bundled quarterly earnings guidance contains more information than quarterly earnings and that investors incorrectly overweight the earnings news and underweight the guidance news during the post-announcement period until the next earnings announcement.     

Forecasting VoWLAN technology for the Taiwan mobile telecommunication industry

Disruptive innovation is always a great challenge to the management of incumbent firms, especially in fast-changing industries. In this study, scenarios were developed to facilitate strategic decision-making by incumbent mobile telecommunications firms that confront the threats of disruptive technology of voice over wireless local area network (VoWLAN). Combining various possible outcomes of uncertain conditions and strategic alternatives available to the incumbent firms, six scenarios were developed: incremental evolution, disruptive evolution, cost deterrence, fierce competition, market pre-emption and market convergence. The results show that a passive ‘do-nothing’ strategy by incumbent firms leads to failure if the disruptive technology is inevitable. However, firms can slow the pace of disruptive technology by applying a price-cut strategy and enjoy several years of profits in the process. Industrial insights and strategic implications obtained from all the scenarios are discussed.     

Your Place in Space: Classroom Experiment on Spatial Location Theory

The authors detail an urban economics experiment that is easily run in the classroom. The experiment has a flexible design that allows the instructor to explore how congestion, zoning, public transportation, and taxation levels determine the bid–rent function. Heterogeneous agents in the experiment compete for land use using a simple auction mechanism. Using the data that is collected, a bid–rent function is derived, and the experimental treatment is altered over the course of three sessions to uncover core concepts in urban economics. Moreover, this provides a tangible experience that can be used to help undergraduates relate to urban issues such as the steep rent gradient found around many larger colleges and universities.     

The determinants of firm diversification in UK quoted companies

This paper examines the role of resource-based and governance factors in determining the boundaries of UK quoted companies, measured by both the probability and intensity of market diversification. Using a panel of over 2000 firms for the period 1988 to 2001 it is found that firm-level heterogeneity and industry characteristics account for the variability in diversification behaviour and that resource-based and governance factors interact in a complex manner not necessarily fully explained by the theoretical literature. The results also indicate that the degree of data aggregation has significant implications for the empirical modelling of market diversification.     

Barter Trading as a Microeconomics Teaching Device

Karpoff reports on a “barter trading game” in which students exchanged real goods over a period of seven weeks with different market constraints imposed each week. Student comments about the exercise were favorable.     

Technology evaluation in Taiwan's technology industries: Strategies, trajectories, and innovations

Technology evaluation, as an organizational process, is the essential ability to comprehend the values of technologies very soon after they emerge. Meanwhile, the technology evaluation process is inevitably influenced by the firm's industrial context, such as its technological trajectory. This study defines technology evaluation strategy in terms of the processes, methods, and participants involved, and uses this definition as a taxonomy to explore different types of technology evaluation strategies. A survey on the technological industries is conducted to explore types of technology evaluation strategies and their relationships with the advantages of different types of innovation under the effects of different technological trajectories. The survey identifies four types of technology evaluation strategies, namely, those of the flexible executive strategist, the emergent executive intuitionist, the deliberate quantitative strategist, and the deliberate consensual strategist, are identified. This study has found that certain types of technology evaluation strategies have better innovation performances than the others. The patterns of technological trajectories are also found to influence a firm's technology evaluation strategy and the advantages of certain types of innovations. The established explanations of the relationships among the technological trajectory, innovation type, and technology evaluation strategies may guide technology businesses to develop a better technology evaluation capability. The theoretical framework developed in this research enriches the strategic management literature with a new taxonomy for technology evaluation strategies.     

Mitigating shortage and distribution costs in damaged water networks

Recent events have sparked renewed interest in disaster mitigation for public infrastructures. Presidential Decision Directive 63 identifies water distribution as being among the most vital and vulnerable of our large-scale infrastructures. Water distribution networks are vulnerable to threats such as chemical and biological contamination, cyber attacks on computer-based management systems, and physical destruction from acts of nature and intentional attack. This research develops methods for configuring the undamaged portion of the water network to mitigate the consequences of physical destruction. The approach is to find a hydraulically feasible residual network that can be pressurized to meet the demand of a subset of demand sectors. Demand sectors not pressurized then receive water through truck distribution from pressurized sectors. The objective is to minimize weighted water shortage and water truck distribution costs by identifying sectors to pressurize along with an assignment of unpressurized sectors to pressurized sectors for water delivery by truck. The paper develops an optimization model, describes a solution method, and presents computational results for three example networks.     

An assessment of the Bank of Canada's term PRA facility

This paper empirically assesses the effectiveness of the Bank of Canada's term Purchase and Resale Agreement (PRA) facility in reducing funding pressures, as measured by the CDOR-OIS spread. It examines the behaviour of this spread around both term PRA announcement dates and term PRA operation dates, using an event-study methodology to control for developments in other money markets as well as proxies for Canadian banking sector credit risk. Overall, there is robust evidence that the term PRA announcements reduced bank funding costs at both 1-month and 3-month terms, whereas we find no evidence of an impact from term PRA operations.     

The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.