Russia–Ukraine crisis: The effects on the European stock market

We examine the effect of the Russia–Ukraine crisis on the European stock markets. Because of increased political uncertainty, geographic proximity and the ramifications of the fresh sanctions imposed on Russia, the European stock markets tended to react negatively to this crisis. We find that on 21 February 2022, when Russia recognized two Ukrainian states as autonomous regions, European stocks incurred a significant negative abnormal return. Moreover, the negative stock price reactions continued in the post-event period. The magnitude of the stock price reactions to this crisis exhibits considerable variation across industries, countries and size of the company.     

Is an Auditor's Propensity to Issue Going Concern Opinions a Valid Measure of Audit Quality?

A number of previous studies use auditor propensity to issue a going concern opinion (GCO) as a proxy of audit quality when examining a sample of financially distressed firms. This study examines whether audit quality (measured by discretionary accruals) influences the probability of financially distressed firms receiving GCOs using a non‐specific sample of 2937 firm‐year observations from Australia over the period 2011–2015. The study first investigates the association between financially distressed firms and the issuance of GCOs. This association is then re‐tested after separating the total sample into low and high audit quality subsamples. The results indicate that financially distressed firms are more likely to receive GCOs, confirming the application of ASA 570 Going Concern. However, financially distressed firms that receive GCOs from their auditors are limited to firms that have higher‐quality audits.     

Managers’ segment disclosure choices under IFRS 8: EU evidence

We examine the impact of proprietary and agency cost motives on segment disclosure quality and quantity and how the adoption of the principle IFRS 8 affects this impact. By using hand-collected data, our results show that proprietary and agency costs play a relevant role in determining the quality and quantity of segment disclosure. We find that proprietary costs are a particularly relevant reason for providing lower segment disclosure quality post-IFRS 8. Our results also suggest that firms’ segment disclosure choice is dependent on disclosure dimension. These results contribute to the ongoing debate regarding IFRS 8 and have valuable implications for accounting regulators.     

Life Expectancy in 2040: What Do Clinical Experts Expect?

We use expert clinical and public health opinion to estimate likely changes in the prevention and treatment of important disease conditions and how they will affect future life expectancy. Focus groups were held including clinical and public health faculty with expertise in the six leading causes of death in the United States. Mortality rates and life tables for 2040 were derived by sex and age. Life expectancy at age 20 and 65 was compared to figures published by the Social Security Administration and to estimates from the Lee-Carter method. There was agreement among all three approaches that life expectancy at age 20 will increase by approximately one year per decade for females and males between now and 2040. According to the clinical experts, 70% of the improvement in life expectancy will occur in cardiovascular disease and cancer, while in the last 30 years most of the improvement has occurred in cardiovascular disease. Expert opinion suggests that most of the increase in life expectancy will be attributable to the already achieved reduction in smoking rates, especially for women.     

Analyzing airlines market service using panel data

Quarterly panel data covering the largest 10,000 city-pairs in the domestic US from 1998 are used to investigate airlines market entry and exit decisions. Several models are estimated looking at changes in the number of carriers serving in a market. The influence of a number of markets characteristics is examined, including number of passengers, average fare, average yield, service concentration, great circle distance, and seasonality. The results suggest that airlines are more likely to enter a market when market concentration is high and there are high average fares. Also airlines tend to enter new markets in the second quarter, then in the fourth quarter, and then in the third quarter of the year.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

Structural models of complementary choices

This article reviews the rapidly growing literature on structural models of complementary choices. It discusses recent modeling developments and identifies promising areas for future research.     

Teaching information technology alongside business analytics: Case study

Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet applications that include statistical features are easy to use and facilitate student learning. The authors analyzed student performance in an introductory business analytics course that used Microsoft Excel as a statistical tool by comparing scores from this introductory course with those from an information technology course in which only Excel skills were learned.     

Ethical decision‐making in Islamic financial institutions in light of Maqasid Al‐Sharia: A conceptual framework

This article develops a conceptual framework for ethical decision‐making in Islamic financial institution based on the Islamic methodological approaches on ethics. While making use of the similarities between the scientific method and the Islamic jurisprudence method, a framework is developed by means of argumentation and reasoning to integrate Sharia doctrines with the “plan, do, check and act” (PDCA) cycle as a managerial tool. Using Al‐Raysuni's analysis of Al‐Shatibi's work on maqasid al‐sharia, this article develops a framework to assess the ethical aspects of Islamic financial operations, which is then applied to hypothetical cases. This approach can help overcome the methodological deficiencies in measuring ethical performance in Islamic finance by focusing on the process of ethical decision‐making that leads to the outcomes of organizational behavior beyond legality of contracts. The framework outlines the conditions under which an activity that is considered legal and permissible contractually could lead to outcomes that can make it ethical or unethical.