Using an historical account book as a teaching tool

Historical account books from the 18th and 19th centuries are valuable historical documents reflecting the activities of individuals many years ago and shedding light on the way they lived. Such books can be used to teach accounting. From our experience, these books serve to motivate students to learn about the basic aspects of the accounting process. Students are curious about how a book of this nature was prepared, what specific purposes it served, and how it is similar to and different from modern account books. Using these books can also foster interdisciplinary instruction, i.e. accounting and history. Both subject areas relate to an account book. Attempting to explain and understand transactions requires some knowledge of the history of the period in which the book was prepared. In this study, specifics are given on the instructional approach we recommend. While a book of this kind can be used in different ways and degrees in a variety of accounting courses including introductory financial, intermediate, and advanced at the undergraduate and graduate levels, we focus in this case study on its use in introductory financial accounting.     

Broadband business by utilities infrastructure exploitation: A multistage competition model

A promising broadband business opportunity is the exploitation of the physical resources owned by municipalities and utility-based firms. In this study, the new broadband business opportunities owned by these authorities are analyzed through the development of a decision analysis model. The proposed model analyzes the broadband business into stages, integrates real options and game theory and provides business equilibrium in terms of the time of entry in the market, quantity offer and price definition. Finally, a real world case study is discussed showing how the model can be applied.     

Stock market prediction using evolutionary support vector machines: an application to the ASE20 index

The main motivation for this paper is to introduce a novel hybrid method for the prediction of the directional movement of financial assets with an application to the ASE20 Greek stock index. Specifically, we use an alternative computational methodology named evolutionary support vector machine (ESVM) stock predictor for modeling and trading the ASE20 Greek stock index extending the universe of the examined inputs to include autoregressive inputs and moving averages of the ASE20 index and other four financial indices. The proposed hybrid method consists of a combination of genetic algorithms with support vector machines modified to uncover effective short-term trading models and overcome the limitations of existing methods. For comparison purposes, the trading performance of the ESVM stock predictor is benchmarked with four traditional strategies (a naïve strategy, a buy and hold strategy, a moving average convergence/divergence and an autoregressive moving average model), and a multilayer perceptron neural network model. As it turns out, the proposed methodology produces a higher trading performance, even during the financial crisis period, in terms of annualized return and information ratio, while providing information about the relationship between the ASE20 index and DAX30, NIKKEI225, FTSE100 and S&P500 indices.     

The Hong Kong Umbrella Movement as a non-profit organization: An empirical study on the use of visual branding practices for social change

In this article, we draw our attention to the growth of a new social movement, as a non-profit organization which aims to effectively communicate its collective identity and messages to larger audiences. Initially, we provide a critical discussion on the interrelationships between marketing theory/practice and protest groups' promotional tactics. Afterwards, we focus on the interface between visual branding practices and new social movement's strategies to create a visual branding identity around their protest symbols and aims. In order to do so, we adopted a moderate participant observation approach to explore how the 2014 Hong Kong Umbrella Movement employed forms of visual branding to engage local and global audiences and induce social change. Drawing on a close examination of field notes and a visual analysis of digital archives and images from the protest sites, we identify and discuss the presence of several visual branding techniques for the imaginative promotion of the movement's demands and causes. Our findings suggest that the 2014 Umbrella Movement protesters coordinated and acted as non-profit organization which employed innovative and creative visual branding methods to enhance the movement's unity and trigger emotional responses from diverse audiences. We conclude the article with suggestions for future research around the interrelationships between social movements' protest symbols, transnational visual branding practices and non-profit organizational practices.     

Competition and Fan Substitution Between Professional Sports Leagues

Review of Industrial Organization - A peculiarity in professional sports is the fact that leagues regularly hold monopoly power within their sports. However, whether and to what extent these...     

Modelling failure rates with machine-learning models: Evidence from a panel of UK firms

In this study, we investigate the ability of machine-learning techniques to predict firm failures and we compare them against alternatives. Using data on business and financial risks of UK firms over 1994–2019, we document that machine-learning models are systematically more accurate than a discrete hazard benchmark. We conclude that the random forest model outperforms other models in failure prediction. In addition, we show that the improved predictive power of the random forest model relative to its counterparts persists when we consider extreme economic events as well as firm and industry heterogeneity. Finally, we find that financial factors affect failure probabilities.     

Government ideology and international migration*

We provide the first empirical evidence that government ideology affects the choice of migration destinations. As ruling political parties differ in their discourse, policies, and positions on migration, the ideology differential between the host and home country governments can shape the relative generosity of the welfare system, the degree of tolerance towards out-groups, and the restrictiveness of migration policies, all acting as important drivers of international migration. Using data on bilateral migration and government ideology for OECD countries between 1990 and 2016, we show that migration flows increase when the government at the destination becomes more left-wing relative to the government at the origin, particularly when both countries are members of the European Economic Area.