The Perfect Fit: The Moderating Role of Selling Cues on Hedonic and Utilitarian Product Types

With the need among retailers to create effective promotional campaigns, scarcity, and popularity cues are increasingly used. Drawing from regulatory focus and popularity versus scarcity cues literature, this research explores the impact of popularity versus scarcity cues and product types on consumer perceptions of risk, product uniqueness, and purchase intentions. Results from three studies provide primary insights: (1) A utilitarian product aligns with prevention goals and hence the popularity cue will enhance consumers’ purchase intentions, and (2) a hedonic product aligns with promotion goals and hence the scarcity cue will enhance consumers’ purchase intentions. Further, we theorize that perceived risk and perceived product uniqueness will act as psychological mechanisms. We discuss theoretical contributions and strategic insights for retailers and marketers that the findings indicate.     

Interaction between securitization gains and abnormal loan loss provisions: Credit risk retention and fair value accounting

This study investigates whether managers use asset securitization gains to substitute loan loss provision (LLP) management for earnings management, and, if so, whether the percentage of credit risk retained affects such a relationship. The literature provides evidence that managers have used securitization transactions to boost earnings. Using 2001?2014 data for a sample of bank holding companies, I find that managers use securitization gains and LLPs as partial substitutes and that earnings management from securitization gains grows at an increasing rate to substitute income increasing LLP management as the level of risk retention increases. These findings are consistent with the argument that the higher the level of risk retention, the greater the potential impact on achieving earnings targets, given banks’ exercise of discretion over securitization gains through estimation of fair value of retained interest. In addition, I document that the substitution effect between the two tools is non‐existent in the post‐SFAS 166/167 period. Taken together, the findings have timely implications for accounting standards by informing the effect of risk retention that I measure through earnings management techniques. Moreover, my findings provide additional support for improved disclosures on assets‐backed securities.     

Archetyping relationships with companion animals to understand disaster risk-taking propensity

Pets factor into the daily decision-making of many people. Importantly, various characteristics of these human–animal relationships are known to strongly influence pet owners’ risk behaviour and, consequently, their animals’ welfare during disasters. Yet, few studies have examined a range of such characteristics concurrently in order to describe risk propensity differences in these relationships. In this study, 437 Australian companion-animal (pet) owners reported human–animal relational, personality and attitudinal characteristics, to examine differences in stated tendency to act to secure their pet’s welfare whilst risking potential harm in a hypothetical disaster dilemma. Cluster analysis identified five archetypal profiles differing in relational, personality, attitude and risk-propensity characteristics, as well as in stated willingness to risk personal safety for the well-being of a pet. Results suggest that relational archetypes are an effective means of examining pet–owner risk propensity, to better understand owners’ risk-taking to protect their animals from harm during a disaster.     

A practical road map for assessing cyber risk

The increase in interconnectivity and developments in technology have caused cyber security to become a universal concern. This paper highlights the dangers of the evolution of cyber risk, the challenges of quantifying the impact of cyber-attacks and the feasibility of the traditional actuarial methodologies for quantifying cyber losses. In this paper, we present a practical roadmap for assessing cyber risk, a roadmap that emphasizes the importance of developing a company and culture-specific risk and resilience model. We develop a structure for a Bayesian network to model the financial loss as a function of the key drivers of risk and resilience. We use qualitative scorecard assessment to determine the level of cyber risk exposure and evaluate the effectiveness of resilience efforts in the organization. We highlight the importance of capitalizing on the knowledge of experts within the organization and discuss methods for aggregating multiple assessments. From an enterprise risk management perspective, impact on value should be the primary concern of managers. This paper uses a value-centric/reputational approach to risk management rather than a regulatory/capital-centric approach to risk.     

Capital buffer and credit‐risk adjustments in Islamic and conventional banks

The main purpose of this article is to empirically investigate the interactions between changes in capital buffer and changes in credit risk, using panel data of Islamic and conventional banks located in the Middle East and North Africa (MENA) region over the period 1999–2016. A negative two‐way relationship between the changes in capital buffer and the changes in credit risk is found for the two types of banks, that is, banks tend to decrease their capital buffers in response to an increase in risk exposure and limit their risky activities in response to an increase in their capital buffers. Dividing our period of study into three subperiods to assess the effect of the last financial crisis 2007–08 on the adjustment process, we point out the negative bidirectional relationship between the changes in capital buffer and the changes in credit risk of the two types of banks is present for the three subperiods except the case of conventional banks during the precrisis period. Moreover, we provide evidence that Islamic banks adjust their capital buffer in response to the changes in credit risk regardless of the existence or not of a deposit insurance scheme. In contrast, the negative two‐way relationship between the changes in capital buffer and the changes in credit risk in conventional banks is found only in countries without deposit insurance schemes.     

Corporate environmental reporting: Are French firms compliant with the Task Force on Climate Financial Disclosures' recommendations?

This article deals with the practices of French corporate environmental disclosure with a focus on climate-related risks. In particular, it aims to analyse the compliance of CAC 40 firms with the recommendations of the Task Force on Climate-related Financial Disclosures (2017), an international initiative made up by Financial Stability Board to enhance financial transparency. On the basis of a content analysis of firms' reference documents spanning 2015–2018, we constructed the Climate Compliance Index (CCI) to evaluate whether firms disclose information on climate risks and opportunities about governance, strategy, risk management and metrics. Our results highlight a gradual increase of the CCI despite disparities across sectors and management areas. The content analysis allows us to develop a set of indicators frequently reported by domain and to identify and define climate risks and opportunities and their financial impacts per sector, which is a first step to improve the disclosure of non-financial information.     

Bank Income Diversification,Asset Correlation and Systemic Risk

This paper explores whether the asset correlations among the non-interest activities of banks are the key causes for enhancing the bank diversification-systemic risk nexus. Our empirical evidence indicates that banks' income diversification significantly raises systemic risk. After removing those banks with high asset correlations, the effect of individual banks' diversification on banking systemic risk turns insignificant or even inverse. The results show that high asset correlations among banks could introduce bank failures, thereby leading to higher systemic risk in the financial sector.     

Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.