News Trading and Speed

We compare the optimal trading strategy of an informed speculator when he can trade ahead of incoming news (is “fast”), versus when he cannot (is “slow”). We find that speed matters: the fast speculator's trades account for a larger fraction of trading volume, and are more correlated with short‐run price changes. Nevertheless, he realizes a large fraction of his profits from trading on long‐term price changes. The fast speculator's behavior matches evidence about high‐frequency traders. We predict that stocks with more informative news are more liquid even though they attract more activity from informed high‐frequency traders.     

The Research‐Practice Gap in Human Resource Management: A Cross‐Cultural Study

In this study, we examine the cross‐cultural differences in human resource (HR) managers’ beliefs in effective HR practices by surveying HR practitioners in Finland (N = 86), South Korea (N = 147), and Spain (N = 196). Similar to previous studies from the United States, the Netherlands, and Australia, there are large discrepancies between HR practitioner beliefs and research findings, particularly in the area of staffing. In addition, we find that interpersonal‐oriented aspects of HR practices tend to be more culturally bound than technical‐oriented aspects of HR practices. We interpret the differences using Hofstede's cultural dimensions (Power Distance, Individualism versus Collectivism, Masculinity versus Femininity, Long‐Term Orientation versus Short‐Term Orientation, and Uncertainty Avoidance). We discuss the overall nature of the science‐practice gap in HR management, and the implications for evidence‐based management. © 2014 Wiley Periodicals, Inc.     

El efecto de la volatilidad del peso mexicano en los rendimientos y riesgo de la Bolsa Mexicana de Valores

The effect of heavy tails due to rare events and different levels of asymmetry associated with high volatility clustering in the emerging financial markets requires sophisticated models for statistical modelling of such stylized facts. This article applies extreme value theory (EVT) to quantify tail risk on the daily returns of Mexican stock market under aggregation of foreign exchange rate risk from January 1971 to December 2010. This study focuses on the maximum-block method and generalized extreme value distribution (GEVD) to model the asymptotic behavior of extreme returns in US dollars. The empirical results show that EVT-Based VaR measured at high confidence levels performs better than simulation historical and delta-normal VaR models on capturing fat-tails in the returns of highly volatile stock markets. Additionally, international investors holding long positions in Mexican stock market are more prone to experience larger potential losses than investors with short positions during local currency depreciation and financial crisis periods.     

All-pay war

We study a model of conflicts and wars in which the outcome is uncertain not because of luck on the battlefield as in standard models, but because countries lack information about their opponent. In this model expected resource levels and production and military technologies are common knowledge, but realized resource levels are private information. Each country decides how to allocate its resources to production and warfare. The country with the stronger military wins and receives aggregate production. In equilibrium both comparative and absolute advantages matter: a larger resource share is allocated to warfare by the country with a comparative advantage in warfare at relatively low realized resource levels, and by the country with an absolute disadvantage in warfare at relatively high realized resource levels. From an ex-ante perspective the country with a comparative advantage in warfare is more likely to win the war unless its military potential is much lower.     

Features of the Z-scoring method in graphical two-dimensional web surveys: the case of ZEF

Research in the human and behavioral sciences has long been burdened by a methodological distinction between two categories of research: that which measures and produces facts and that which understands and interprets phenomena. However all interpretation of numbers requires that results be viewed in relative terms and there are no other means for this than comparison. The Z-scoring method, that is to say standardization, in web survey ZEF, emphasizes relative traits of survey answering. Questions in ZEF are illustrated in graphical two-dimensional chart where respondents are able to compare their answers at the moment of answering process. This trait of answering emphasizes the relationship of questions more than an absolute values on the scales of two dimensions. The Z-scoring method that is used in ZEF for handle results is based for same assumption: The respondents are compared questions and are formulated their answers through comparison. The significance of differences between groups cannot be measured directly: in some content areas, even small differences may be important, while in others changes of even several per cent are not significant. Standardization makes visible how different respondents and groups value things, that is, construct an order for them, using the dimensions given.     

‘I want to ride my bicycle’: delimiting cyclist typologies

Based around fieldwork in Seville (Spain), our article provides an empirical analysis with the aim of determining whether different typologies of cyclists exist depending on the type of bicycle for urban commuting (public bicycle/private bicycle). Our findings show that users of public bicycles are predominantly male, young, with a high level of education, and basically use the public bicycle for subsistence trips due to its easy intermodality; while private bicycle riders are mainly females who regularly make nonsubsistence trips and prefer a more flexible bicycle for their daily needs.     

Inflation Dynamics in a Small Open Economy

We evaluate the empirical performance of forward‐looking models for inflation dynamics in a small open economy. Using likelihood‐based testing procedures, we find that the exact formulation is at odds with Norwegian data. Moreover, some of the parameters in the model are not well identified. We also find that the inexact formulation is not rejected statistically using a test based on a minimum distance method. However, confidence regions also reveal an identification problem with this model. Instead, we find a well‐specified backward‐looking model with imperfect competition underlying the price setting, which is a model that outperforms an alternative forward‐looking model in‐sample. The backward‐looking model also forecasts somewhat better than the alternative forward‐looking model, during and after the recent financial crisis.     

Merits of Task Advice during New Product Development: Network Centrality Antecedents and New Product Outcomes of Knowledge Richness and Knowledge Quality

Utilizing new product development (NPD) teams to accomplish complex tasks in firms has been an emergent issue in many industries throughout the last couple of decades. Despite numerous studies, formation and efficient management of NPD teams is still a developing research domain. Using the knowledge‐based view of the firm and social network theories complementarily, this paper contributes to literature by examining the intrafirm social relational structures of NPD teams. Focusing specifically on the network centrality of the NPD teams, this paper argues that network centrality types of closeness, betweenness, and degree centralities influence the quality and richness characteristics of knowledge received through task advice seeking. Subsequently, the knowledge gained with these characteristics enhances product innovativeness and new product success. Consequently, the second contribution of this paper is to conceptualize the effect of the task advice‐seeking activities of NPD teams on NPD outcomes. The paper concludes with a discussion of the empirical testing of the proposed model, including suggestions for focal construct operationalizations as well as other future research directions.