Estimating the performance effects of business groups in emerging markets

Business groups—confederations of legally independent firms—are ubiquitous in emerging economies, yet very little is known about their effects on the performance of affiliated firms. We conceive of business groups as responses to market failures and high transaction costs. In doing so, we develop hypotheses about the effects of group affiliation on firm profitability: affiliation could either boost or depress firm profitability, and members of a group are likely to earn rates of return similar to other members of the same group. Using a unique data set compiled largely from local sources, we test for these effects in 14 emerging markets: Argentina, Brazil, Chile, India, Indonesia, Israel, Mexico, Peru, the Philippines, South Africa, South Korea, Taiwan, Thailand, and Turkey. We find evidence that business groups indeed affect the broad patterns of economic performance in 12 of the markets we examine. Group affiliation appears to have as profound an effect on profitability as does industry membership, yet strategy scholars have a much clearer grasp of industries than of groups. Moreover, membership in a group raises the profitability of the average group member in several of the markets we examine. This runs contrary to the wisdom, conventional in advanced economies, that unrelated diversification depresses profitability. Overall, our findings suggest that the roots of sustained differences in profitability may vary across institutional contexts; conclusions drawn in one context may well not apply to another. Copyright © 2001 John Wiley & Sons, Ltd.     

Truth claims and explanatory claims—An ontological typology of futures studies

Classifications of futures research are usually based on epistemological differences, but we complete these with ontological considerations. The article presents a typology of forecasts, i.e. statements on future events or states. It has two dimensions, truth claim and explanatory claim; each dimension has two values, making the claim or not making the claim. The four outcomes are: forecasts which make both truth claims and explanatory claims (predictions); forecasts which make truth claims, but not explanatory claims (prognoses); forecasts which make explanatory claims, but not truth claims (science fiction); and forecasts which make neither truth claims nor explanatory claims (utopias or dystopias). We regard each outcome as an ideal type, against which forecasts can be measured. We illustrate the use of the typology by presenting an example of each outcome.     

The practice of transition management: Examples and lessons from four distinct cases

In this article we present four different cases of transition management in which we were involved over the past 10 years. Transition management was developed in the course of this period in theoretical and practical sense, mainly in the Netherlands, as novel mode of governance for sustainable development. The theoretical debate about transition management is being increasingly published, but so far only few empirical examples were. In this article we present four cases that combined give a representative illustration of both the advantages and the difficulties of actually trying to manage transitions. The article ends by drawing lessons and formulating research questions for the future.     

Detecting jumps from Lévy jump diffusion processes

Recent asset-pricing models incorporate jump risk through Lévy processes in addition to diffusive risk. This paper studies how to detect stochastic arrivals of small and big Lévy jumps with new nonparametric tests. The tests allow for robust analysis of their separate characteristics and facilitate better estimation of return dynamics. Empirical evidence of both small and big jumps based on these tests suggests that models for individual equities and overall market indices require incorporating Lévy-type jumps. The evidence of small jumps also helps explain why jumps in the market index are uncorrelated with jumps in its component equities.     

Inter-market competition for NYSE-listed securities under decimals

Blume and Goldstein (J Finance 52:221–244, 1997) suggest that quote competition between trading venues may diminish following tick size reductions. We test this suggestion by studying the competitive landscape in the NYSE-listed stocks before and after decimalization. We find that NBBO (National Best Bid and Offer) participation by non-NYSE venues declines following decimalization consistent with the prediction. At the same time, the importance of quote competitiveness in attracting order flow increases. In addition, although not as active in determining and maintaining the best quotes under decimals, non-NYSE venues become more active in price discovery. Finally, decimalization leads to lower trading costs and to smaller differences in trading costs across trading venues.     

LOCAL GOVERNMENTS,UNEXPECTED DEPRECIATION AND FINANCIAL PERFORMANCE ADJUSTMENT

Prior management and manipulation of financial accounting information research has overwhelmingly been focused within a private sector setting. This study adopts a public sector focus in empirically examining the use of a specific discretionary accrual (i.e., depreciation) to adjust the financial performance of New South Wales (Australia) local governments. Findings indicate a significant positive association between absolute unexpected depreciation and absolute local government income before capital contributions, and a significant positive association between absolute unexpected depreciation and capital contributions. Overall, the results make significant contributions to various literature streams with implications for various stakeholders interested in local governmental financial performance.     

Multidimensionales Verfahren zur Bestimmung des Regelleistungsbedarfes unter Berücksichtigung von Unsicherheiten

One of the most crucial constraints in operation of electrical power supply systems is the permanent balance between generation and load. Reserve power is held ready to be able to keep this balance also in case of the occurrence of unpredictable events like power plant outages or inevitable deviations of power injections from their predicted values. At this, the allocation of operating reserves is in the field of conflict between level of reliability and cost effectiveness. The amount of reserve generation capacity required in a control area heavily depends on prediction quality which constitutes the need for high quality predictions. This article is about the influence of prediction quality on the amount of reserve generation capacity required in a control area. The algorithms for the assessment of required reserve generation capacity known from literature use the variation calculus technique to account for the aforementioned unpredictable events and prediction errors. In this article, an extension to a convolution-based method is presented in which the uncertainties of the predictions are expressed using intervals. Each parameter is represented by an independent dimension, assuming statistical independence among them. This allows the distinct analysis of each parameter’s influence on the amount of required reserve generation capacity. In addition, two methods for the visualization of the multi-dimensional results are presented, allowing a comprehensive analysis of the parameters’ influences. Standard distribution functions are used to represent the parameters for the simulation and the results are shown as probability density functions of possible imbalances. Based on forecasts of the development of conventional power plants and regenerative generation in the years 2020, 2030 and 2040, the required control power of the future German transmission system is calculated. Influences and dependencies are identified with the extended convolution-based method.     

Interdependent preferences: an econometric analysis

The theoretical model of Gaertner (1974) and Pollak (1976) for the interdependence of preferences in the Linear Expenditure System is estimated for a cross-section of households. The interdependence of consumption of different households has implications for the stochastic structure of the model and for the identifiability of its parameters. Both aspects are dealt with. The empirical results indicate a significant role played by the interdependence of preferences. One of its implications is that predictions of the effects of changes in a household's exogenous variables differ according to whether the exogenous variable only changes for this household or for all households jointly. © 1997 John Wiley & Sons, Ltd.