Robust min–max portfolio strategies for rival forecast and risk scenarios

We consider an extension of the Markowitz mean–variance optimization framework to multiple return and risk scenarios. It is well known that asset return forecasts and risk estimates are inherently inaccurate. The method proposed provides a means for considering rival representations of the future. The optimal portfolio is computed, simultaneously with the worst case, to take account of all rival scenarios. This is a min-max strategy which is essentially equivalent to a robust pooling of the scenarios. Robustness is ensured by the noninferiority of min–max. For example, a basic worst-case optimal return is guaranteed in view of multiple return scenarios. If robustness happens to have too high a cost, guided by the min–max pooling, it is also possible to explore other pooling alternatives. A min–max algorithm is used to solve the problem and illustrate the robust character of min–max with return and risk scenarios. We study the properties of the min–max risk–return frontier and compare with the potentially suboptimal worst-case where the investment strategy and the worst case are computed separately.     

Success in social marketing

In a series of articles, Philip Kotler, first with Sidney Levy [11], then with Gerald Zaltman [12], and then singularly [8], has significantly broadened the scope of marketing management. Marketing strategy, according to Kotler, is pertinent in numerous areas in addition to its business application. This article is concerned with one particular area for the expanding application of the marketing concept— social marketing.The use of marketing strategy to achieve social objectives produces both similarities and differences to business applications. Comparing these similarities and differences should produce some insight about the potential success of social marketing.     

Finite sample evidence on the performance of stochastic frontier models using panel data

Most stochastic frontier models have focused on estimating average productive efficiency across all firms. The failure to estimate firm-specific effiicency has been regarded as a major limitation of previous stochastic frontier models. In this paper, we measure firm-level efficiency using panel data, and examine its finite sample distribution over a wide range of the parameter and model space. We also investigate the performance of the stochastic frontier approach using three estimators: maximum likelihood, generalized least squares and dummy variables (or the within estimator). Our results indicate that the performance of the stochastic frontier approach is sensitive to the form of the underlying technology and its complexity. The results appear to be quite stable across estimators. The within estimatoris preferred, however, because of weak assumptions and relative computational ease.The refereeing process of this paper was handled through J. van den Broeck.     

An Analysis of Materiality and Reasonable Assurance: Professional Mystification and Paternalism in Auditing

Critical analyses of the audit profession have become more common in recent years. Many of these analyses focus on the entire audit profession in developing their criticisms and concerns. In this paper, the scope of analysis is narrowed to examine in depth the auditing profession's use of the concepts of reasonable assurance and materiality in audit performance and audit communications. Reasonable assurance and materiality are the terms that auditors use to describe the scope of their responsibility to the public. Similarly, reasonable assurance and materiality are the key determinants of audit effort. An overview of official guidance, practitioner reports, and academic research reveals that these two key concepts are not well specified nor are they consistently applied in audit practice. These findings are evaluated from two competing perspectives on professions – the traditional, functionalist perspective and the critical theorists' perspective. Evaluation from the latter perspective leads to a conclusion that the profession's use of these key terms to guide practice and communication leaves the profession open to charges of mystification and unjustified paternalism.     

Intrinsic Motivations of Public Sector Employees: Evidence for Germany

We examine differences in altruism and laziness between public sector employees and private sector employees. Our theoretical model predicts that the likelihood of public sector employment increases with a worker's altruism, and increases or decreases with a worker's laziness depending on his altruism. Using questionnaire data from the German Socio‐Economic Panel Study, we find that public sector employees are significantly more altruistic and lazy than observationally equivalent private sector employees. A series of robustness checks show that these patterns are stronger among higher educated workers; that the sorting of altruistic people to the public sector takes place only within the caring industries; and that the difference in altruism is already present at the start of people's career, while the difference in laziness is only present for employees with sufficiently long work experience.     

Boundary-crossing and the localization of capabilities in a Japanese multinational firm

We conducted a case study to explore the challenges encountered by a foreign subsidiary of a Japanese multinational firm when localizing its organizational capabilities in China. Drawing on the concepts of boundaries and boundary-crossing, we identify pragmatic and cultural knowledge boundaries, which denied opportunities for the host-country employees to contribute their local expertise to augment the firm's core capabilities within the domains of research and development and operational protocols. However, within those domains that were regarded as complementary to or peripheral to the firm's core capabilities, host-country employees were granted more scope to cross the associated pragmatic boundaries.