The composite iteration algorithm for finding efficient and financially fair risk-sharing rules

We consider the problem of finding an efficient and fair ex-ante rule for division of an uncertain monetary outcome among a finite number of von Neumann–Morgenstern agents. Efficiency is understood here, as usual, in the sense of Pareto efficiency subject to the feasibility constraint. Fairness is defined as financial fairness with respect to a predetermined pricing functional. We show that efficient and financially fair allocation rules are in one-to-one correspondence with positive eigenvectors of a nonlinear homogeneous and monotone mapping associated to the risk sharing problem. We establish relevant properties of this mapping. On the basis of this, we obtain a proof of existence and uniqueness of solutions via nonlinear Perron–Frobenius theory, as well as a proof of global convergence of the natural iterative algorithm. We argue that this algorithm is computationally attractive, and discuss its rate of convergence.     

Semiparametric estimation of multi-asset portfolio tail risk

When correlations between assets turn positive, multi-asset portfolios can become riskier than single assets. This article presents the estimation of tail risk at very high quantiles using a semiparametric estimator which is particularly suitable for portfolios with a large number of assets. The estimator captures simultaneously the information contained in each individual asset return that composes the portfolio, and the interrelation between assets. Noticeably, the accuracy of the estimates does not deteriorate when the number of assets in the portfolio increases. The implementation is as easy for a large number of assets as it is for a small number. We estimate the probability distribution of large losses for the American stock market considering portfolios with ten, fifty and one hundred assets of stocks with different market capitalization. In either case, the approximation for the portfolio tail risk is very accurate. We compare our results with well known benchmark models.     

Cost-benefit analysis of airport security: Are airports too safe?

This paper assesses the risks and cost-effectiveness of measures designed to further protect airport terminals and associated facilities such as car parks from terrorist attack in the U.S., Europe, and the Asia-Pacific area. The analysis considers threat likelihood, the cost of security measures, hazard likelihood, risk reduction and expected losses to compare the costs and benefits of security measures to decide the optimal security measures to airports. Monte-Carlo simulation methods were used to propagate hazard likelihood, risk reduction and loss uncertainties in the calculation of net benefits that also allows probability of cost-effectiveness to be calculated. It is found that attack probabilities had to be much higher than currently observed to justify additional protective measures. Overall, then, it is questionable whether special efforts to further protect airports are sensible expenditures. Indeed, some relaxation of the measures already in place may well be justified.     

Risk regulation,community pressure and the use of management accounting in managing climate change risk: Australian evidence

This exploratory study is amongst the first to investigate how companies perceive the regulation of carbon emissions and the pressure exerted by the community in an environment characterised by risk and uncertainty. Semi-structured interviews were conducted among 39 executives who were directly involved in carbon emissions management in 18 large listed Australian companies. Consistent with Prospect Theory, we find that decision-makers are threat biased and are more likely to take immediate actions when climate change issues are framed as threats as opposed to opportunities. From the interview data, it is seen that managers use management accounting techniques as a risk management tool in mitigating risks associated climate change issues. Furthermore, this use of management accounting appears to be driven primarily by the protection of economic interests, regulatory pressure and reputational pressure. The study provides insights into how perceptions of climate change uncertainties and external pressure for disclosure of emissions information influence companies to use management accounting in managing climate change risk.     

EXTREME VALUE THEORY IN FINANCE: A SURVEY

Extreme value theory is concerned with the study of the asymptotic distribution of extreme events, that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations. Statistical methods derived from it have been employed increasingly in finance, especially for risk measurement. This paper surveys some of those main applications, namely for testing different distributional assumptions for the data, for Value‐at‐Risk and Expected Shortfall calculations, for asset allocation under safety‐first type constraints, and for the study of contagion and dependence across markets under conditions of stress.     

Credibilistic risk aversion

In the probabilistic risk aversion approach, risks are presumed as random variables with known probability distributions. However, in some practical cases, for example, due to the absence of historical data, the inherent uncertain characteristic of risks or different subject judgements from the decision-makers, risks may be hard or not appropriate to be estimated with probability distributions. Therefore, the traditional probabilistic risk aversion theory is ineffective. Thus, in order to deal with these cases, we suggest measuring these kinds of risks as fuzzy variables, and accordingly to present an alternative risk aversion approach by employing credibility theory. In the present paper, first, the definition of credibilistic risk premium proposed by Georgescu and Kinnunen [Fuzzy Inf. Eng., 2013, 5, 399–416] is revised by taking the initial wealth into consideration, and then a general method to compute the credibilistic risk premium is provided. Secondly, regarding the risks represented with the commonly used LR fuzzy intervals, a simple calculation formula of the local credibilistic risk premium is put forward. Finally, in a global sense, several equivalent propositions for comparative risk aversion under the credibility measurement are provided. Illustrated examples are presented to show the applicability of the theoretical findings.     

How locus of control shapes intention to reuse mobile apps for making hotel reservations: Evidence from chinese consumers

This study unveils the cognitive mechanism that locus of control (LOC) dimensions (internal control, chance control, and control by powerful others) predict intention to reuse mobile apps for making hotel reservations. The predictions are assumed through the unified theory of acceptance and use of technology (UTAUT) anchors and perceived risk. Drawn from an online survey with 457 Chinese participants, results show direct positive predictions of intention to reuse from UTAUT anchors including performance expectancy, effort expectancy, social influence, and facilitating conditions. Perceived risk also negatively predicts intention. Effort expectancy mediates the links between internal/chance control and intention, whereas perceived risk mediates only the latter link. Facilitating conditions mediate the relationship between control by powerful others and intention. This study contributes to existing research by distinguishing the mechanisms that underpin LOC dimensions and technology re-adoption. Practitioners are recommended to improve booking apps by addressing the concerns of users with different LOC.     

The influence of auditor narcissism and moral disengagement on risk assessments of a narcissistic client CFO

Global capital markets rely heavily on independent and skeptical auditors as gatekeepers to provide assurance that corporate financial reports are free of material fraud. The rise of narcissism among the ranks of both client and audit professionals challenge this gatekeeper function. In addition, auditor moral disengagement may undermine auditor skepticism, further eroding public confidence in the integrity of financial reporting and the audit process. We conduct a quasi-experiment with 118 auditors from three international audit firms. In a simulated interview with a client CFO, we examine whether auditors underestimate risks of fraudulent financial statements due to the interactive effects of (1) client narcissism (manipulated verbally and nonverbally) and (2) auditor narcissism. We also examine the influence of auditor moral disengagement on client risk assessments. Results indicate that CFO verbal and nonverbal narcissism significantly influenced auditors’ assessment of management-related client risk. Moreover, auditor narcissism was found to interactively influence client risk inferences such that auditors higher in narcissism exhibited narcissistic tolerance (lower risk assessments) when the hypothetical CFO displayed high verbal narcissism. Auditor moral disengagement was negatively associated with client risk assessments. We discuss the implication of these findings on future audit judgment research, audit firm policy and training on maintaining auditor skepticism, and the audit oversight role of standard-setters.     

Sovereign risk and belief-driven fluctuations in the euro area

Sovereign risk premia in several euro area countries have risen markedly since 2008, driving up credit spreads in the private sector as well. We propose a New Keynesian model of a two-region monetary union that accounts for this “sovereign risk channel.” The model is calibrated to the euro area as of mid-2012. We show that a combination of sovereign risk in one region and strongly procyclical fiscal policy at the aggregate level exacerbates the risk of belief-driven deflationary downturns. The model provides an argument in favor of coordinated, asymmetric fiscal stances as a way to prevent self-fulfilling debt crises.     

金融衍生产品对上市公司风险管理影响实证研究

论文选取有色金属矿产行业以及能源交通运输行业229家上市公司作为样本，以上市公司是否使用衍生产品为解释变量，同时引用一系列控制变量，通过实证分析上市公司使用衍生产品是否会有效降低公司风险。实证过程涉及参数检验、非参数检验、相关性分析和回归分析，实证结果显示我国上市公司使用衍生产品会降低公司风险，这与西方主流的财务管理理论相一致而与我国学者以前的研究相反，由此推测我国上市公司运用衍生产品的能力逐渐娴熟。