Examining bank SEOs: Are offers made by undercapitalized banks different?

Despite extensive monitoring, banking operations are often considered opaque, and despite explicit capital adequacy regulation, banks may have substantial discretion in their financing. Both monitoring and capital regulation have changed substantially over time, with the adoption of FDICIA being one important breakpoint. This article empirically studies seasoned equity offerings (SEOs) by banks to understand how opacity and capital regulation interact to determine the timing of bank SEOs and their market valuation. SEOs both by banks that are undercapitalized relative to regulatory standards and also well-capitalized banks are fully discretionary when it comes to SEOs, even before FDICIA. Both undercapitalized and well-capitalized banks experience similar and significantly negative stock price reactions to SEO announcements, and also have similar prior patterns of insider trading and similar economic drivers of the issuance decision. Moreover, post-SEO abnormal stock returns are similar to benchmark returns for both types of issuers in the long run, suggesting that, contrary to the well-documented evidence for industrial SEOs, investors understand the value implications of bank SEOs upon announcement. The evidence implies that undercapitalized banks' SEOs are more discretionary and that all bank SEOs are less opaque than implied by earlier studies.     

Some antecedent factors that shape actors’ adoption of enterprise systems

This paper proposes a conceptual model based on technology-organization-environment (T-O-E) and institutional frameworks and examines how the traditional and isomorphic factors explain adoption of enterprise systems (ES) by service small and medium enterprise (SMEs) in Nigeria. The model extends the T-O-E framework by integrating environmental typology with institutional changes in order to recognize homologous behavior in the social systems. Logistic regression and Wald’s statistics were used to analyze the data from field survey questionnaire administered to a purposive and snow-ball sample of 262 executives. The results show that adoption of ES is significantly influenced by organizational, technological and isomorphic factors though normative and mimetic isomorphism had negative coefficients; a unit increase in the complexity of the two attracts less analogous modeling and mimicry or vice versa. The technical, economic and legitimated elements are critical adoption determinants; thus, managers make informed decisions that improve competitive advantage when they understand the institutional homogeneity that drives less efficiency in the social structure.     

Marketing and development out of poverty: introduction to the special issue

• Reducing poverty by meeting the United Nations' Millennium Development Goals (MDGs) is an interdisciplinary undertaking, in which Marketing Science logically plays a role. The papers in this special issue cover a range of methods, from traditional consumer research experiments (on images of poverty, donation behaviour) and sample surveys on the credibility of celebrity marketing, to observational studies of community values and customs (on micro-finance or agricultural enterprise). Consumers of aid appeals, celebrity lobbying and financial services—these methods reveal—are behaviourally complex. They are infused with contradictory, competing and complementary tendencies. Underlying those different tendencies however is a common but often overlooked thread. For poverty to be significantly reduced by 2015, attention needs to be paid not only to goals, that is to task but also towards understanding the human relationships in the poverty reduction market. Marketing practise and research can contribute to poverty reduction by helping build (1) perspective-sharing, (2) accommodation to local needs and (3) appreciation of socio-economic and socio-cultural behavioural systems.

Copyright © 2008 John Wiley & Sons, Ltd.     

THE EFFECTS OF ECONOMIC REGULATION IN THE ISTANBUL TAXICAB MARKET

This paper discusses the regulation of the Istanbul taxicab market and its consequences. While price and entry regulations are common to many taxi markets, there are significant differences in their institutional frameworks. We examine the problems of the Istanbul market and offer recommendations to improve its efficiency.     

The Stewardship Role of Analyst Forecasts,and Discretionary Versus Non-discretionary Accruals

We examine the interaction between discretionary and non-discretionary accruals in a stewardship setting. Contracting includes multiple rounds of renegotiation based on contractible accounting information and non-contractible but more timely non-accounting information. We show that accounting regulation aimed at increasing earnings quality from a valuation perspective (earnings persistence) may have a significant impact on how firms rationally respond in terms of allowing accrual discretion in order to alleviate the impact on the stewardship role of earnings. Increasing the precision of more timely non-accounting information (analyst earnings forecasts) increases the ex ante value of the firm and reduces costly earnings management. There is an optimal level of reversible non-discretionary accrual noise introduced through revenue recognition policies. Tight rules-based accounting regulation, as opposed to leaving firms more choice over non-discretionary accrual policies, may lead firms to rationally respond by inducing costly earnings management. More generally, regulating both earnings persistence and the tightness of admissible auditing policies may not result in less equilibrium earnings management.     

A New Approach to Gravity Anomaly Separation: Differential Markov Random Field (DMRF)

In this paper the authors introduce a novel approach to stochastic image processing, denoted as Differential Markov Random Field (DMRF), which has been applied to gravity anomaly separation problems. The advantages of the method are that it introduces only little distortion into the shape of the original image and that it is not affected significantly by factors such as the overlap power spectra of regional and residual fields. Testing of the proposed meth using synthetic examples gave excellent results.     

An analysis of asymmetric demand response to price changes: The case of local telephone calls

Asymmetric demand responses to price changes are not an observable implication of classical demand theory, which predicts that consumers will react to a small price increase in much the same way as they do to a small price decrease. Yet applied researchers have long speculated that consumers are more sensitive to price increases than they are to price decreases. In addition, recent empirical studies generally support the theory of asymmetric demand responses. We construct a dynamic model based on data gathered from monthly telephone bills for 128 New York Telephone customers over a five-year period. Our results support the conclusion that customers react more quickly and strongly when prices go up than they do when prices go down.We would like to thank Manny Haas and Bernie Reddy for their comments and suggestions.     

Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.