Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.     

Restricting gambling advertising and the third‐person effect

Along with the rapid growth experienced by the gaming industry in the United States has come increasing calls to restrict or ban gambling advertising. To date, little is known about what motivates people to support such restrictions on advertising. However, one recent theory, the third‐person effect, offers a possible explanation. The third‐person effect states that when confronted with negative messages, people will overestimate the messages' effect on others relative to themselves. Additionally, it suggests that it is this misperception that motivates them to take action against such messages. This study investigates whether a third‐person effect occurs for gambling advertising and if this effect is related to pro‐censorship attitudes for lotteries and casinos. The results suggest there is a sizable gap between perceptions of the effect of gambling advertising on one's self versus others, and that the perceived effect on others is related to a willingness to restrict such advertising. © 2000 John Wiley and Sons, Inc.     

Implications to ethics education of recent neuroscience research on emotions

As it is currently taught, instruction in engineering ethics centers on cognitive learning even to the extent of suppressing the involvement of emotions in ethical decision making. The common belief is that emotional involvement will increase the likelihood of poor judgment. Recent neuroscience research with positron emission tomography and functional magnetic resonance imaging indicates that emotions actually play a significant role in ethical decision making. It then follows that emotions should be part of ethics education: That is, discussions of ethics should not be limited to cognitive thought. Instruction to improve emotional maturity must be accompanied by teaching of cognitive subject matter if long‐term learning is to occur. Emotions influence the solution of ethical problems as they affect the accuracy of the problem assessment and the accuracy, intensity, and duration of an emotive response. Specific emotions that relate to ethical decisions are listed. A theory of emotive learning is presented, and its application to the teaching of engineering ethics is discussed. Strategies for emotive learning are also presented.     

Advancing Sustainability Reporting in Canada: 2019 Report on Progress

This study examines the progress Canada's largest companies are making in their environmental, social, and governance (ESG) disclosures. Given the introduction of the Global Reporting Initiative (GRI) Standards and the United Nations Sustainable Development Goals (UN SDGs) as well as the issuance of the Task Force on Climate‐Related Financial Disclosures (TCFD) recommendations, our research reflects the uptake of these guidance documents by both mature and new reporters. Our analysis suggests that challenges persist—processes and progress often fail to reach investors as they are “lost in translation” when issued through third‐party ESG information providers, and reporters are also pressured to respond to a myriad of requests for information from rating and reporting agencies. Nevertheless, we note that Canada has new reporting sectors that must mature to survive the scrutiny of the markets and also hope that stock markets will respond to the recent announcement by the 181 CEOs of the U.S. Business Roundtable, who committed to lead their companies for the benefit of all stakeholders—customers, employees, suppliers, communities, and shareholders. Overall, we believe that our research will provide food for thought for companies interested in continuous improvement.     

Information-sharing in health and social care: Lessons from a socio-technical initiative

Advances in information technology have led to new and innovative approaches in data-sharing, analysis, interpretation, and the potential for real-time responses to changes in health and social care status. However, health and social care information is not only complex but often socially and personally sensitive in ways that do not apply in other domains. This requires adoption of a tailored interdisciplinary (social, ethical, legal, technical and data science) and intersectoral (health and social care, academic and commercial institutions and citizens) approach to technology development. The authors present some important lessons to date from ongoing development of an innovative infrastructure for sharing health and social care data.     

How should Central Banks Respond to Non-neutral Inflation Expectations?

This paper investigates the net real inflation effect on output in ten countries, comprising both advanced and developing countries. An indicator is introduced to compute the net inflation effect on output (NIEO) based on the difference between two concepts of core inflation, where both are computed using the decomposition of VAR residuals. We find that for all countries, when inflation is increasing the NIEO is significantly positive and is negative during periods of decreasing inflation. Typically, countries which follow anti-inflationary policies if the NIEO is of small magnitude suffer relatively minimal damage in output, whereas if the same policies are undertaken when the NIEO is large the damaging effects on output could be much greater. This suggests that the NIEO could be a useful indicator of the likely effects of policy, especially for countries which have frequent episodes of high inflation, and in those countries which employ inflation-targeting policy, as the timing of monetary policy actions could be optimized to take account of this real effect of inflation.     

Asian Financial Crisis and the Evolution of Korean Banks Efficiency: A DEA Approach

Abstract

In the mid-1990s, the East Asian countries experienced severe financial crisis that were followed by deep economic downturns. A variety of methodologies have been used to understand the nature of the Asian financial crisis. However, the impact of the 1997 Asian financial crisis on the efficiency of the financial industry has yet to be critically examined. By employing the Data Envelopment Analysis (DEA) approach the present study attempts to examine for the first time the impact of the 1997 Asian financial crisis on the efficiency of the Korean banking sector. The study focuses on three major approaches, namely, intermediation, value added, and operating approaches. The results clearly bring forth the high degree of inefficiency in the Korean banking sector, particularly a year after the Asian financial crisis. We find that the Korean banking sector has consistently exhibit higher technical efficiency levels under value added approach, while technical efficiency seems to be lowest under intermediation approach.     

Foreign exchange exposure and impact of policy switch – the case of Malaysian listed firms

This article undertakes an in-depth study of the foreign exchange exposure of Malaysian listed firms. We examine several issues related to firm-specific and overall exposure, including an evaluation of the efficacy of adopting a hard-peg on such exposure. Our sample consists of 158 listed firms and spans the 16 year period, 1990–2005. A multivariate model using four bilateral exchange rates is used to determine firm level exposure while panel data analysis using a random-effects Generalized Least Squares (GLS) model is used to determine system-wide or aggregate sample exposure. We find a total 71% of our sample firms to have significant exchange rate exposure, a rate substantially higher than that reported for most countries, especially developed ones. The US$ is by far the single most important source of exposure with 63% of sample firms exposed to it. The sign of the beta coefficient for three of the four currencies are negative, implying that our sample firms are largely net importers in these currencies. We find exposure to be time variant and dependent on the sector within which a firm operates. Interestingly, the panel data analysis which measures aggregate exposure, shows the US$ to be a significant source of exposure even with the adoption of the hard peg. The change in policy regime to a fixed peg following the crisis appears to have had no impact at either firm-level exposure or overall system-wide exposure.     

The predictive power of yield spread: evidence from wavelet analysis

This paper examines whether the spread between long- and short-terminterest rates contains information about future economic activity in India. Using the yields on securities with maturities ranging from three months to ten years, we construct five different yield spreads at shorter end, longer end, and policy relevant area of the yield curve. We study the predictive power of each of these spreads for output growth within aggregate and time scale framework using wavelet methodology. We find that predictive power holds only at lower frequencies for the spreads which are constructed at shorter end and policy relevant areas of yield curve. However, spreads which are constructed at the longer end of the yield curve do not seem to have predictive information for output growth.