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This article analyzes the challenges Finnish single mothers experienced in their everyday lives during the COVID-19 pandemic. In studies on challenges to family life during COVID-19 lockdowns, single-parent families remain a largely understudied group.

The authors apply triple bind theory and ask how did Finnish single mothers manage the interplay between inadequate resources, inadequate employment, and inadequate policies during lockdown in spring 2020? These data come from an online survey including both qualitative and quantitative questions which was conducted between April and May 2020 to gather Finnish families' experiences during lockdown. This analysis is based on the qualitative part of the survey.

This study's results show that lockdown created new inadequacies while also enhancing some old inadequacies in the lives of Finnish single mothers. During lockdown, single mothers faced policy- and resource-disappearances; accordingly, they lost their ability to do paid work normally. Furthermore, these disappearances endangered the well-being of some single mothers and their families.

This article contributes to the wider understanding of everyday lives of single mothers and the challenges COVID-19 pandemic created. Moreover, this study provides knowledge on the applicability of the triple bind theory when studying the everyday lives of single mothers.

In 1983 Ted Leonsis survived a crash landing of a plane he was on.This fateful event proved to be a pivotal point in his life. One of the byproducts of that near-death experiences is Leonsisʼ list of 101 things to do before he died‐a “bucket list” before the movie of that title came out. Leonsis has managed to accomplish more than two-thirds of the things on his list including owning a sports franchise (the Washington Capitals), changing someoneʼs life via a charity, sailing the Caribbean, and being on the cover of a magazine. As impressive as these accomplishments are, they do not reveal the person underneath these accomplishments or what has driven this serial entrepreneur. In previous interviews appearing in NEJE, we have explored how a personʼs faith tradition impacts how they run and manage their businesses. In this interview Leonsis reveals how his life was shaped by both his early childhood and the transformational experience of a crash landing. This interview examines not only what drove Leonsis to success, but also why he feels failure is important. Along, the way he offers his perspective on corporate social responsibility and why it is so critical for individuals and companies to give back to society. And finally, Leonsis shares what he has learned about the secret to happiness.

This study aims to conduct an empirical investigation to assess the hedge, diversifier and safe-haven properties of different environmental, social and governance (ESG) assets (i.e. green bonds and ESG equity index) vis-à-vis conventional investments (namely, equity index, gold and commodities).

The authors examine the sample period 2007–2021 using the bivariate cross-quantilogram (CQG) analysis and a dynamic conditional correlation (DCC) multivariate generalized autoregressive conditional heteroskedasticity (GARCH) experiment with several extensions.

The evidence shows that the analyzed ESG investments exhibit mainly diversifying features depending on the asset class taken as a reference, with some potential hedging/safe-haven qualities (for the green bond) in peculiar timespans. Therefore, the results suggest that investors might consider sustainable investing as a new measure of risk reduction, which has interesting implications for both portfolio allocation and policy design.

To the best of the authors’ knowledge, this study is the first that empirically investigates at once the dependence between different ESG investments (i.e. equity and green bond) with different conventional investments such as gold, equity and commodity market indices over a large sample period (2007–2021). Well-suited methodologies like the bivariate CQG and the DCC multivariate GARCH are used to capture the spillover effect and the hedging/diversifying nature, even in temporary contexts. Finally, a global perspective is used.

In this study, we analyzed whether the expiration day effect of domestic single stock futures exists. One-minute stock prices and trading volume by trader types is used. Data ranges from May 2008 to June 2016. The expiration day effects are measured by price reversal, price shock, volatility effect, and volume effect. Since the expiration day of single stock futures is on the second Thursday of each month, we analyzed whether the expiration day effects differ between expiration Thursday and non-expiration Thursday. The price reversal effect is evident in Samsung Electronics and Hyundai Steel, and the price shock effect is evident for KT and KT&G. However, price reversals and price shocks are not generally found in other stocks. On the other hand, in most stocks (16 out of 22), the volatility effect variables were statistically significantly larger on the expiration Thursday than non-expiration Thursday. The expiration day effects of single stocks are evident in the trading volume. First of all, trading volume increased significantly on expiration Thursday than non-expiration Thursday. In particular, the trading-volume shares of institutional investors and foreign investors increase and the share of individual investors is decreasing. This suggests that the increase in trading volume on expiration Thursday is mainly due to the increase in the trading-volume shares of institutional investors and foreign investors, who are supposed to be in the information superiority. In addition, we can conjecture that the larger volatility level on expiration Thursday than on non-expiration Thursday may be due to institutional investors and foreign investors rather than individual investors.

This study aims to analyze how different room-committing practices affect the occupancy and profitability of hotels and it critically reviews the role of minimum-length-of-stay (MLOS) requirements given these findings.

The approach uses statistical analysis of simplified contexts to develop understanding, and simulations of more complex situations to confirm the relevance in realistic contexts.

The study demonstrates that proper solutions of the room-committing problem improve occupancy and profitability, in particular, for hotels working in high-season and high-occupancy situations. Smart committing algorithms diminish the role of MLOS requirements. More demand can be accepted without sacrificing late-arriving long reservations.

To the best of the authors’ knowledge, this work, building upon a previous one cited in this paper, is the first to rigorously study the room-committing problem and to demonstrate its relevance in practical situations and its implications on MLOS rules.

This paper aims to introduce a new mixed integer programming formulation and associated heuristic algorithm to solve the Military Nodal Capacity Problem, which is a type of supply chain network design problem that involves determining the amount of capacity expansion required at theater nodes to ensure the on-time delivery of military cargo.

Supply chain network design, mixed integer programs, heuristics and regression are used in this paper.

This work helps analysts at the United States Transportation Command identify what levels of throughput capacities, such as daily processing rates of trucks and railcars, are needed at theater distribution nodes to meet warfighter cargo delivery requirements.

This research assumes all problem data are deterministic, and so it does not capture the variations in cargo requirements, transit times or asset payloads.

This work gives military analysts and decision makers prescriptive details about nodal capacities needed to meet demands. Prior to this work, insights for this type of problem were generated using multiple time-consuming simulations often involving trial-and-error to explore the trade space.

This work merges research of supply chain network design with military theater distribution problems to prescribe the optimal, or near-optimal, throughput capacities at theater nodes. The capacity levels must meet delivery requirements while adhering to constraints on the proportion of cargo transported by mode and the expected payloads for assets.

The purpose of this research is to investigate the short-term capital markets' reactions to the public announcement first local detection of novel corona virus (COVID 19) cases in 12 major Asian capital markets.

Using the constant mean return model and the market model, an event study methodology has been implied to determine the cumulative abnormal returns (CARs) of 10 pre and post-event trading days. The statistical significance of the data was assessed using both parametric and nonparametric test statistics.

First discovery of local COVID 19 cases had a substantial impact on all 12 Asian markets on the event day, as shown by statistically significant negative average abnormal return (AAR) and cumulative average abnormal return (CAAR). The single factor ANOVA result has also demonstrated that there is no variability among 12 regional markets in terms of short-term market responses. Furthermore, there is little evidence that these major Asian stock market indices differ significantly from the FTSE All-World Index which might suggest possible spillover impact and co-integration among the major Asian capital markets. The study further discovers that market capitalization and liquidity did not have any significant impact on market reaction to announcement.

The study's contribution might have been compromised by the absence of socio-demographic, technical, financial and other significant policy factors from the analysis.

These findings will be considerably helpful in tackling this unprecedented epidemic issue for personal and institutional investors, industrial and economic experts, government and policymakers in assessing the market in special circumstances, diversifying risk and developing financial and monetary policy proposals.

This paper is the first to examine the effects of local COVID 19 detection announcement on major Asian capital markets. This study will add to the literature by investigating unusual market returns generated by infectious illness outbreaks and the overall market efficiency and investors' behavioral pattern of major Asian capital markets.

As the Malacca and Singapore Straits are part of the shortest route between Europe and Asia any impedance to shipping has serious commercial and strategic repercussions. What would be the consequences to tankers and container shipping if access was restricted or prevented? This issue is addressed by examining the costs of using alternative tanker routes to the Straits and the flow-on consequences of removing a mega-hub port from the container-shipping network. The analysis highlights differences between tanker shipping, where the ship itself is the prime unit of interest, and container shipping, where the door-to-door network is of paramount importance.