Kurtosis modelling by means of the J-transformation

Summary: The H–family of distributions or H–distributions, introduced by Tukey (1960; 1977), are generated by a single transformation of the standard normal distribution and allow for leptokurtosis represented by the parameter h. Alternatively, Haynes et al. (1997) generated leptokurtic distributions by applying the K–transformation to the normal distribution. In this study we propose a third transformation, the so–called J–transformation, and derive some properties of this transformation. Moreover, so-called elongation generating functions (EGFs) are introduced. By means of EGFs we are able to visualize the strength of tail elongation and to construct new transformations. Finally, we compare the three transformations towards their goodness–of–fit in the context of financial return data.     

Home gardening practice in Pune (India), the role of communities,urban environment and the contribution to urban sustainability

Urban Ecosystems - Urban agriculture (UA) is regarded as an emerging tool and strategy for sustainable urban development as it addresses a wide array of environmental, economic and social...     

Path-related empirical research on M&A-outcome: review and research agenda

This article attempts to reflect the current state and progress of contemporary research on financial and non-financial M&A outcome. Based on a review of 183 empirical M&A studies an integrative framework is developed, in which impact factors are classified into four major dimensions to explore the impact on M&A outcome: antecedents, transaction content characteristics, transaction process characteristics, and the transaction itself. The review reveals that M&A research is dominated by studies focusing on state variables at the expense of path-related variables. The review also shows that, to date, neither state-related research nor path-related research on financial and non-financial M&A outcome categories have reached maturity. Although there is still room for clarifying the impact of various state-related variables, the most valuable new insights are expected to emerge from researching path-related variables. Building on these insights, an extensive future research agenda is presented, which focuses on path-related research questions and methodological issues.     

Die Entwicklung der Fehler- und Feedbackkultur durch Team-Coaching

The development of an error culture and feedback culture by team coachingTeams and departments can be relieved of a tremendous burden and collaborate far more efficiently by mutually reflecting on making mistakes, giving and receiving feedback, calling meetings, trying things out in real life situations and, by doing so, establishing new forms of a culture that embraces failure and feedback. This approach works in areas such as team coaching. The purpose of this paper is to present a practical method for developing a team-based culture of learning from failure and feedback. The paper is designed to encourage professional trainers not to leave company employees and management on their own with the issue of establishing such a culture but to make the introduced tools a part of staff training, management and other company development programs as well as team workshops or to develop one’s own formats for introducing a culture of learning from failure and feedback.     

Tukey-Type Distributions in the Context of Financial Data

Abstract

In one-parameter (θ) families, we were not aware of explicit hypothesis testing scenarios where maximal invariant statistics failed to distinguish the models. We start with a concrete example (Sec. 2.2) to highlight such a hypothesis testing problem involving markedly different models. In this problem, because of the absence of a nontrivial uniformly most powerful invariant (UMPI) test, we briefly suggest two approaches to test the hypothesis. The first resolution (Sec. 3.1) is frequentist in nature. It utilizes a weight function on the parameter space and compares “average” distributions obtained under the null and alternative models in the sense of Wald (1947 Wald , A. ( 1947 ). Sequential Analysis . New York : Wiley . [Google Scholar] 1950 Wald , A. ( 1950 ). Statistical Decision Functions . New York : Wiley . [Google Scholar]). In contrast, a fully Bayesian resolution (Sec. 3.2) is also included. The note ends with a series of other interesting examples involving one-parameter families where maximal invariant statistics fail to distinguish the hypothesized models. The examples include easy-to-construct families of probability models involving only a single location or scale parameter θ.     

The meaning of nonprofit advocacy: An ordonomic perspective

Orthodox economic theories of the nonprofit sector are focused on its service delivery role but have little to say about nonprofit advocacy. This study explains nonprofit advocacy by building upon the ordonomic approach, a recently developed strand of institutional economics that explores the interdependencies between institutions and ideas. From the ordonomic perspective, the evolution of a modern society occurs through an ongoing realignment between institutions and ideas. The meaning of nonprofit advocacy is shown to be in contributing to this realignment. This leads to a new understanding of the service delivery role of the nonprofit sector. This role is shown to have a compensatory character in that it is intended to maintain a reasonable quality of human life before the time-consuming ideational and institutional adjustments actually take place.