Mapping Ethics Education in Accounting Research: A Bibliometric Analysis

Journal of Business Ethics - The attention being paid to ethics education in accounting has been increasing, especially after the corporate accounting scandals at the turn of the century. This...     

Moral Pragmatism as a Bridge Between Duty,Utility, and Virtue in Managers’ Ethical Decision-Making

Journal of Business Ethics - The decline of empirical research on ethical decision-making based on ethical theories might imply a tacit consensus has been reached. However, the exclusion of virtue...     

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

War and economy. Rediscovering the eighteenth-century military entrepreneur

Abstract

The detrimental effects traditionally assigned to warfare in the development of pre-industrial economies have obscured the prominent role that military entrepreneurs played in economic development in this period. Historiography minimises the extent to which war and the concomitant strengthening of the central state provided a whole new range of opportunities for capital investment, a tendency that has been strengthened by the paradigm of Redlich’s ‘decline of the soldier-entrepreneur’ and the technological determinism of the debate on the Military Revolution among others. The aim of this introduction is to look into the background of this relative lack of interest and to reaffirm the mutual dependence of eighteenth-century state-formation and the business of war.     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

The risks connected with accidents on highways and railways

Quality & Quantity - Safety in an integral sense is a comprehensive tool by which the humans ensure the level of their security and the sustainable development of them and of other basic public...     

Who Convinces Whom? Parent and Child Perceptions of Children's Engagement in Parental Purchase Decisions

Do children overestimate their engagement in parental purchase decisions? A systematic analysis of the articles enabled us to create a database of 149 cases where child and parent perceptions of children's engagement in parental purchase decisions were measured. The findings proved that there is congruence between children's and parents' perception of a child's engagement in most cases. Children's overestimation of their engagement in a parental decision to purchase products is likely the exception rather than the rule. The cases characterized as overestimations are related to product category and type of measured domain. (Children tend to overestimate their engagement more when the measures track participation or influence rather than decision independence.)