Diversification benefits in the smaller European stock markets

This paper examines the diversification benefits available to U.S. and Japanese investors over the period 1974-94 in seven of the smaller European stock markets (SESMs): Austria, Belgium, Greece, Holland, Ireland, Italy, and Spain. With reference to a simplified International CAPM that accommodates both contemporaneous and delayed information flows, we employ correlation, principal components, and cointegration analysis in studying monthly observations from national basket indices. The empirical evidence is conclusive in showing that the SESMs have behaved differently, at least since the October 1987 crash, with stronger contemporaneous interdependencies and integration between them and with the U.S. market. Cointegration analysis found no significant common trend shared between the SESMs and the U.S. and Japanese markets. We conclude that despite the increasing international integration there still exist opportunities for diversification investment in the smaller and less studied European stock markets.The present study is an extensively revised version of a paper presented at the 42nd Atlantic Economic Society Conference in Washington, DC, October 1996. We are indebted to the attendants and discussants of our session, especially Nicholas Apergis, Erotokritos Varelas, and George Zestos for their constructive comments and arguments. We also thank Terence Mills and two anonymous referees for their comments on this paper. Finally, we wish to thank Jay Smith, Leading Market Technologies, Cambridge, MA for providing us theEXPO/NeuralNet andEXPO/Econometrics software used in this study. For any remaining errors, the authors are fully responsible. Raphael Markellos is grateful for financial support received from the Department of Economics and the School of Humanities and Social Sciences, Loughborough University, United Kingdom.     

Corporate divestitures and family control

This paper investigates the relationship between divestitures and firm value in family firms. Using hand‐collected data on a sample of over 30,000 firm‐year observations, we find that family firms are less likely than non‐family firms to undertake divestitures, especially when these companies are managed by family rather than non‐family‐CEOs. However, we then establish that the divestitures undertaken by family firms, predominantly those run by family‐CEOs, are associated with higher post‐divestiture performance than their non‐family counterparts. These findings indicate that family firms may fail to fully exploit available economic opportunities, potentially because they pursue multiple objectives beyond the maximization of shareholder value. These results also elucidate how the characteristics of corporate owners and managers can influence the value that firms derive from their corporate strategies. Copyright © 2014 John Wiley & Sons, Ltd.     

CHALLENGES TO THEORY DEVELOPMENT IN ENTREPRENEURSHIP RESEARCH*

Why do some new ventures succeed while others fail? What is the essence of entrepreneurship? Who is most likely to become a successful entrepreneur and why? How do entrepreneurs make decisions? What market, regulatory, and organizational environments foster the most successful entrepreneurial activities? Entrepreneurship research is plagued by these and other fundamental unanswered questions, for which there does not exist a cohesive explanatory, predictive, or normative theory. In this article we identify major challenges for entrepreneurship theory development, and offer insights into promising directions for future research. Our conclusion suggests that it may be too ambitious to expect a complete and robust theory due to the interdisciplinary nature of entrepreneurship. However, we show that by integrating perspectives and by applying analytic, empirical and experimental tools from a range of fields, some of the fundamental questions can be answered.     

Competition and price discrimination in the market for mailing lists

This paper examines whether mailing list sellers, when faced with additional competitors, are more likely to try to segment consumers by offering additional choices at different prices (second-degree price discrimination) and/or offering different prices to readily identifiable groups of consumers (third-degree price discrimination). We utilize a dataset that includes information about all consumer response lists derived from mail order buyers (i.e. lists derived from catalogs) available for rental in 1997 and 2002. Our results indicate that increased competition leads to an increased propensity to price discriminate along each of the dimensions we investigate. These results hold for both second-degree and third-degree price discrimination. Further, list owners offer menus with more choices in more competitive markets. These results, taken together with results from other empirical studies, suggest that the connection between competition and increased price discrimination is a result that applies broadly.

A jump diffusion model for VIX volatility options and futures

Volatility indices are becoming increasingly popular as a measure of market uncertainty and as a new asset class for developing derivative instruments. Although jumps are widely considered as a salient feature of volatility, their implications for pricing volatility options and futures are not yet fully understood. This paper provides evidence indicating that the time series behaviour of the VIX index is well approximated by a mean reverting logarithmic diffusion with jumps. This process is capable of capturing stylized facts of VIX dynamics such as fast mean-reversion at higher levels, level effects of volatility and large upward movements during times of market stress. Based on the empirical results, we provide closed-form valuation models for European options written on the spot and forward VIX, respectively.     

The macroeconomics outcome of oil shocks in the small Eurozone economies

In this work, we provide an analysis over the period 1999–2015 of the effects of oil shocks on prices and GDP in a group of small Euro-area economies. The group includes Austria, Belgium, Finland, Greece, Ireland, Italy, Netherlands, Portugal and Spain. In order to characterise the macroeconomic outcomes of movements in oil prices, we adopt the structural vector autoregression (VAR) methodology. We find that under the European Monetary Union (EMU), oil price shocks have been important drivers of business cycle fluctuations in almost all these countries. Moreover, an increase in oil prices produces significant recessionary effects in all the countries included in the investigation. Thus, although there are different sizes in the responses of output in the investigated countries, our main conclusion is that despite the structural changes experienced by the European economies in the last decades, oil prices still matter for these countries. In the light of these results, we also stress some important challenges for the conduct of monetary policy in the Euro area.     

Environmental policy implications of extreme variations in pollutant stock levels and socioeconomic costs

This paper uses a real options approach to examine the impact of abrupt increases in carbon dioxide emissions and pollutant-related socio-economic costs. It derives optimal investment rules in the form of critical values for both pollutant stock levels and social costs, above which environmental policies should be adopted. Moreover, it determines the optimal emissions abatement level. Our analysis extends the methodology of Pindyck (2000) using jump diffusion processes. We show that if the stock of pollutant is subject to extreme variations and the emissions abatement level is chosen exogenously by the policymaker, then lower levels of the pollutant stock are required to trigger policy adoption. A similar, yet more prominent, effect is observed under the assumption that pollutant-related socio-economic costs and benefits are expected to exhibit abrupt changes. However, different results are obtained when we examine simultaneously the two interrelated decisions, namely, the optimal threshold of emissions abatement and the optimal abatement level. In this case, an increase in the size and/or probability of a jump increases the critical values of both pollutant stock levels and socio-economic costs but leads to higher optimal abatement.