Diversified behavioral portfolio as an alternative to Modern Portfolio Theory

The traditional mean–variance approach has been complemented by alternative theories that use risk measures different from standard deviation of returns or involve additional distributional features of returns like skewness and kurtosis. We propose a portfolio choice model that combines different distributional characteristics of the returns in the decision-making making process, considering preferences of investors which are modeled as non-statistical uncertainties of investors using fuzzy theory. We use 20 stocks of the S&P500 from January 2013 to December 2017. We assess the obtained portfolios’ performance, and the diversified behavioral portfolios outperform than the mean–variance portfolio. This methodological proposal can be seen as a strong managerial tool to make investment portfolio decisions.     

Auditors' Responses to Workload Imbalance and the Impact on Audit Quality*

Using detailed data for fieldwork hours and audit hours by rank from audit engagements in Korea, we examine whether audits conducted under workload imbalance, proxied by busy‐season audits, impair audit quality, and how auditors adjust staff assignments for busy‐season audits. We generally find that busy‐season audits are associated with lower audit quality, and that audit firms reduce the involvement of senior auditors during busy‐season audits. In addition, the greater the involvement of senior auditors and junior auditors, the lesser the deterioration in audit quality. Finally, although there is no increase in interim audits in response to workload imbalance during busy seasons, increasing interim audits can mitigate the negative impact of busy‐season audits on audit quality. Our results are relevant to auditors and regulators, who have expressed concerns about the adverse effects of workload imbalance on audit quality.     

Measuring the deadly embrace: Systemic and sovereign risks

This study contributes to the literature by making a first step toward implementing a comprehensive internally coherent measurement of systemic risk in a country. It measures systemic risk and the ensuing conditional contingent liabilities of the sovereign stemming from Luxembourg’s Other Systemically Important Institutions (OSIIs), the Global Systemically Important Banks (G-SIBs) to which they belong, the investment funds sponsored by the OSIIs, the household and the non-financial corporate sectors. The ensuing estimated systemic contingent claims are included in a stochastic version of the general government’s balance sheet to gauge their impact on the country’s sovereign risk. Results indicate that time-varying conditional implicit guarantees from OSSIs are larger than those from G-SIBs and investment funds, while systemic risk stemming from the household and non-financial corporate sectors is moderate. The robustness of the sovereign is not drastically affected by systemic risk stemming from the rest of the economy. However, illustrating the so-called “deadly embrace”, sovereign risk would significantly rise as a result of a historically plausible increase in sovereign assets’ value volatility combined with an economy-wide shock. The main policy implication is that financial stability stands on two columns, a resilient financial sector and a sustainable fiscal position.     

Sentiment-scaled CAPM and market mispricing

This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β–return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios with higher state βs earn higher returns.     

Return policy,No joke: An investigation into the impact of a retailer's return policy on consumers' decision making

This study investigates the important role of a retailer's return policy in consumers' decision making. Utilizing signaling theory and the Cue Diagnosticity framework, this study posits that return policy, as a cue from a retailer, interacts with other cues (product, price, and product quality) to reduce perceived purchase risk and increases store image and patronage intention. Employing factorial experiment design, the authors conduct two studies and find support for several hypotheses. Results show that consumers value return policies depending upon the situation. A lenient return policy drives down purchase risk and leads consumers to have positive store images and higher patronage intentions. Both theoretical and managerial implications of the findings are provided.     

Data breaches and corporate liquidity management

This paper investigates the effects of data breach disclosure laws and the subsequent disclosure of data breaches on the cash policies of corporations in the United States. Exploiting a series of natural experiments regarding staggered state-level data breach disclosure laws, we find that the passage of mandatory disclosure laws leads to an increase in cash holdings. Our finding suggests that mandatory data breach disclosure laws increase the risks related to data breaches. Further, we find firms that suffer data breaches adjust their financial policies by holding more cash as well as decreasing external finance and investment.     

疫情期间国际工程投标报价风险分析及费用计算方法研究

随着我国经济的快速发展和“走出去”、“一带一路”倡议的实施,越来越多的企业在政府的带动下开始进军国际市场,但是国际工程往往施工周期长、金额较大、技术复杂、政府干预较多、不确定性因素多,风险与机遇并存,针对2020年全球新冠病毒蔓延这一特殊的时期,企业更应在投标阶段做好风险分析、测算、管控工作,合理规避风险,总结经验教训,保证企业履约能力和竞争性。     

Does corporate social responsibility reduce financial distress risk?

This paper examines how corporate social responsibility (CSR) affects the level of financial distress risk (FDR). Using a sample of 1201 US-listed firms during 1991–2012, our results indicate that firms with higher CSR levels have lower FDR, suggesting that a better CSR performance makes firms more creditworthy and have better access to financing, which is rewarded with less financial defaults. This finding is robust to using alternative proxies of FDR, to controlling for potential endogeneity, and is mainly driven by the community, diversity, employee relations, and environmental dimensions of CSR. Moreover, this relationship is more prevalent in firms with strong governance mechanisms and high product market competition. It is also more exacerbated for less distressed firms and during non-crisis periods. Overall, our findings suggest that the adoption of CSR practices comes with less distress and default risks, likely leading to a more attractive corporate environment, better financial stability and more crisis-resilient economies.     

Quantitative micro-scale flood risk assessment in a section of the Trotuș River,Romania

This paper focuses on the estimation of direct damages caused by three flood scenarios with different return periods in the section Făgetul de Sus – Ghimeş – Palanca Pass of Trotuș River, with the aim of highlighting the need of improved land use plans. The damage for three land use classes (residential building, infrastructure and agriculture) were estimated using the damage curves developed by the European Joint Research Centre (JRC) as well as site specific maximum damage values. The data were processed with the help of the ArcMap 10.2 software and FloodRisk tool from QGIS software. Furthermore, the flood risk was assessed using the damage – probability curves, which associates the damage with the corresponding frequency of occurrence. This method was identified and adapted to the characteristics of the study area in order to develop a methodology of flood risk assessment that is answering the question: does the lack of land use plans increase the vulnerability and the flood damage? The results showed that the greatest damages are registered for the residential building land use class for a flood probability of 0.001. In this case the damages reach up to 60% on the scale range of deterioration factor, the total damage value being 2 million euros. For the same hazard probability the total registered damage value for roads is 7500 euro, for railways is around 12,000 euro, while for agriculture is around 84,000 euro. These results highlight the need of protection measures and land use plans development and implementation. Regarding the protection measures we consider that the egalitarianism would be the concept that should be applied in the study area and also an improved cooperation between government, specialized agencies and local authorities at local level would lead to a more efficient flood risk management process. The proposed methodology can be applied for micro-scale analysis, providing quantitative results regarding the flood damage and flood risk assessment. It includes a detailed vulnerability analysis of the elements-at-risk with the aim of developing a more comprehensive approach of flood risk assessment.