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.     

Interlocking Directorates, Firm Strategies, and Performance in Hong Kong: Towards a Research Agenda

Filling a gap in the interlocks literature which has been largely centered on the West, we present preliminary data on the pattern of interlocking directorates among the top 200 largest corporations in pre-1997 Hong Kong. Then we identify four separate groups of firms in Hong Kong, and suggest propositions based on the resource dependence perspective on the critical relationships among their interlocking directorates, firm strategies, and performance. These propositions have the potential to form the building block of an emerging research agenda that will shed light on the role of interlocking directorates in an increasingly important part of the world.     

Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds

Polynomial goal programming (PGP) is a flexible method that allows investor preferences for different moments of the return distribution of financial assets to be included in the portfolio optimization. The method is intuitive and particularly suitable for incorporating investor preferences in higher moments of the return distribution. However, until now, PGP has not been able to meet its full potential because it requires quantification of “real” preference parameters towards those moments. To date, the chosen preference parameters have been selected somewhat “arbitrarily”. Our goal is to calculate implied sets of preference parameters using investors’ choices of and the importance they attribute to risk and performance measures. We use three groups of institutional investors—pension funds, insurance companies, and endowments—and derive implied sets of preference parameters in the context of a hedge fund portfolio optimization. To determine “real” preferences for the higher moments of the portfolio return distribution, we first fit implied preference parameters so that the PGP optimal portfolio is identical to the desired hedge fund portfolio. With the obtained economically justified sets of preference parameters, the well-established PGP framework can be employed more efficiently to derive allocations that satisfy institutional investor expectations for hedge fund investments. Furthermore, the implied preference parameters enable fund of hedge fund managers and other investment managers to derive optimal portfolio allocations based on specific investor expectations. Moreover, the importance of individual moments, as well as their marginal rates of substitution, can be assessed.