An investigation into the financial characteristics of dividend initiating firms

Dividend announcements are said to have an informational content concerning the value of the firm. Most studies on dividend announcements have involved models to predict change or to analyze that informational content. The purpose of this study is to establish the financial characteristics of firms that initiate or significantly increase dividends. One hundred firms were selected for study. Fifty of the firms had recently either initiated or significantly increased dividends; the other fifty were selected at random. Significant differences were found in the financial characteristics of the two groups. The results were generally consistent with previous studies and finance theory. There were however, two genuine surprises. The dividend initiating firms possessed lower levels of liquidity and activity than firms selected at random. This suggests that dividends may not be paid to dispose of excess cash, but to provide shareholders with some tangible reward in periods of low liquidity and little activity.     

Bayesian inference for the mover–stayer model in continuous time with an application to labour market transition data

This paper presents Bayesian inference procedures for the continuous time mover–stayer model applied to labour market transition data collected in discrete time. These methods allow us to derive the probability of embeddability of the discrete‐time modelling with the continuous‐time one. A special emphasis is put on two alternative procedures, namely the importance sampling algorithm and a new Gibbs sampling algorithm. Transition intensities, proportions of stayers and functions of these parameters are then estimated with the Gibbs sampling algorithm for individual transition data coming from the French Labour Force Surveys collected over the period 1986–2000. Copyright © 2003 John Wiley & Sons, Ltd.     

Technical analysis compared to mathematical models based methods under parameters mis-specification

In this study, we compare the performance of trading strategies based on possibly mis-specified mathematical models with a trading strategy based on a technical trading rule. In both cases, the trader attempts to predict a change in the drift of the stock return occurring at an unknown time. We explicitly compute the trader’s expected logarithmic utility of wealth for the various trading strategies. We next rely on Monte Carlo numerical experiments to compare their performance. The simulations show that under parameter mis-specification, the technical analysis technique out-performs the optimal allocation strategy but not the Model and Detect strategies. The latter strategies dominance is confirmed under parameter mis-specification as long as the two stock returns’ drifts are high in absolute terms.     

Contents of Volume 4

Volume Contents

Contents of Volume 4     

Institute for the future's study of the UK, 1978–1995

The method used expert opinions (collected through interviews), scenario generation, and a simple econometric model. Some methodological innovations are reported; eg aids to assist experts in thinking ahead, and in how scenarios are generated and aggregated.     

The association between management earnings forecasts, earnings management, and stock market valuation: Evidence from French IPOs

This study investigates managers' motivations to engage in earnings management through purposeful interventions in the setting of discretionary accruals, in the context of initial public offerings (IPOs) in France. Firms issuing forecasts in their prospectuses are expected to differ from nonforecasters in the level of earnings management during the year following the public offering. Within the context of contracting theory, four research questions are addressed. First, are IPO firms issuing forecasts more inclined to manage earnings 1 year after an IPO compared to nonforecasting firms? Second, is a forecasting firm's level of earnings management conditioned by earnings-forecast deviation? Third, is earnings management by IPO forecasting firms affected by contractual and governance environments? Fourth, how do investors see through earnings management following IPO earnings forecasts, i.e., how do stock market participants value earnings components (i.e., nondiscretionary and discretionary accruals)? Our findings document that in the year following an IPO, the magnitude of earnings management is much higher for forecasters than for nonforecasters. Results also show that a firm's accrual behavior is affected by earnings-forecast deviation, but the relationship is moderated by contractual and governance constraints. Finally, it would appear that French investors do not adequately readjust the relationship between reported earnings and a firm's market value for the year in which earnings are subject to manipulations.     

Leverage and investment in diversified firms

Within diversified firms, the negative impact of leverage on investment is significantly greater for high q than for low q segments and significantly greater for non-core than for core segments. This differs substantially from focused firms and is consistent with the view that diversified firms allocate a disproportionate share of their debt service burden to their higher q and non-core segments. We also find that, among low-growth firms, the positive relation between leverage and firm value is significantly weaker in diversified firms than in focused firms. We conclude that the disciplinary benefits of debt are partially offset by the additional managerial discretion in allocating debt service that is provided by the diversified organizational structure.     

Asian development and poverty reduction strategies: Integrating fisheries into the development discourse

Asia is the world’s foremost capture fishery and aquaculture producer. It is also home to the majority of the world’s fishers and marine fleet (decked and undecked). Consequently, there is every reason to expect that this importance is reflected in national development discourses. This article identifies the socio-economic importance of fisheries in the region in terms of its contribution to primary exports, domestic protein consumption, employment and poverty alleviation. We then analyse national development and poverty reduction strategy documents using a content analysis methodology previously applied to measure the extent to which environmental or forestry issues had been mainstreamed into national policy documents. This enables us to identify those countries that have currently integrated fisheries into the national development discourse – and those that have not. We conclude by proposing two strategies to enable the more effective integration of fisheries into the development agenda.     

Hybrid Choice Models: Progress and Challenges

We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints. A flexible and practical hybrid choice model is presented that integrates many types of discrete choice modeling methods, draws on different types of data, and allows for flexible disturbances and explicit modeling of latent psychological explanatory variables, heterogeneity, and latent segmentation. Both progress and challenges related to the development of the hybrid choice model are presented.