Innovators, Organization Structure and Management of the Innovation Process in the Securities Industry

This article examines innovation in the securities industry with the central objective of identifying factors that separate innovators from non-innovators. Akira Iwamura and Vijay Jog report results based on their survey of corporate finance vice presidents or CEO's of 43 investment houses from around the world. They conclude that innovative companies seem to be larger and have a well-defined strategy, with management defining the focus of the business. In addition, the firms have developed better communication channels, both internally and with their customers. Yet, the most significant difference that separates innovators from non-innovators is their management of the idea generation process, including concept generation and management's support. Innovators tend to approach idea generation in the following ways: they employ a variety of idea sources, both internal and external; they assign a specific person or group to be in charge of developing new ideas; they encourage employees at all levels to generate new ideas; they use a variety of innovative techniques to stimulate creativity; they reward their employees by non-monetary means; and they encourage group-level participation in evaluation decisions.     

ALL THINGS CONSIDERED,TAXES DRIVE THE JANUARY EFFECT

The multitude of explanations for the January effect leaves the reader confused about its primary cause(s): is it tax‐loss selling, window dressing, information, bid‐ask bounce, or a combination of these causes? The confusion arises, in part, because evidence has generally been presented in support of a particular hypothesis though the same evidence may be consistent with another hypothesis. Furthermore, prior work does not adequately control for the bid‐ask bounce. In this article we try to disentangle different explanations of the January effect and identify its primary cause. We find that tax‐related selling is the most important cause, overshadowing other explanations.     

Airline mergers and multimarket contact

This paper examines changes in the pricing behavior of airline firms around mergers that occurred during 1985–8. We find that the changes in concentration, a measure of contact within a market, and changes in multimarket contact, a measure of contact with the same firms outside of that market, significantly affect airfares. Further, increases in multimarket contact alone are sufficient to effect an increase in fares. Antitrust policy must consider changes not only in concentration but also in multimarket contact to evaluate more fully the effect of consolidations on consumers.     

From surface to deep corporate entrepreneurship

This article will first describe and analyze two very different patterns of entrepreneurship found in large American companies studied by the author. “Surface entrepreneurship” denotes the pattern of entrepreneurial activity found in companies where entrepreneurship was seen as an important business objective that management was trying to promote and accomplish. In contrast, “deep entrepreneurship” denotes the pattern found in companies where entrepreneurship was an important shared value. European firms currently being studied combine elements from these two patterns. These studies suggest the fundamental questions that must be addressed to promote entrepreneurship. Some answers in the form of recommendations to management are presented.     

Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty

In this paper, we present a practical methodology for variance estimation for multi‐dimensional measures of poverty and deprivation of households and individuals, derived from sample surveys with complex designs and fairly large sample sizes. The measures considered are based on fuzzy representation of individuals' propensity to deprivation in monetary and diverse non‐monetary dimensions. We believe this to be the first original contribution for estimating standard errors for such fuzzy poverty measures. The second objective is to describe and numerically illustrate computational procedures and difficulties in producing reliable and robust estimates of sampling error for such complex statistics. We attempt to identify some of these problems and provide solutions in the context of actual situations. A detailed application based on European Union Statistics on Income and Living Conditions data for 19 NUTS2 regions in Spain is provided.     

National Papers of Interest to Economic Educators

The author argues that while advances in technology may have made long-range and long-term planning less critical, they have not made long-run decisionmaking obsolete.     

Determining the going market value of a business in an emerging information technology industry: The case of the cellular communications industry

Given the phenomenal growth or the anticipation of growth in certain information technology industries, concerns for economy of scale, market access and expansion, and the need for ongoing research and development are resulting in mergers, acquisitions, and strategic alliances. A key question in such industries is what is, or should be the going market value of a business? This paper suggests an approach to imbed market penetration models in the popular value-based planning approach suggested by Rappaport [36] to obtain the going market value of a business. The model developed in implementing the approach is tailored for the cellular communications industry. Limitations and adaptations of the approach to other industries are discussed.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.