Managing safety risks in helicopter maritime operations

Nowadays, helicopters have been used in maritime transportation to serve offshore platforms. This paper outlines methodology for assessing safety risks by operating in the vicinity of helidecks. During each flight, decisions must be made regarding the events that involve interactions between the four safety risk elements – the pilot in command, the aircraft, the environment and the operation. This paper evaluates helicopter crash statistics based on region and flight phase. Data collected were used for developing methodology for computing the helicopter impact frequency into facility of interest. The analysis for helicopter impact frequency calculations is based on number of operations, crash rate, frequency, average length of flight and crash area. Furthermore, the conclusion was defined based on future measurements for helicopter accidents mitigation or reduction. The presented paper contributes to safety risk assessment in helicopter maritime operations.     

Contagion models a la carte: which one to choose?

We propose a copula contagion mixture model for correlated default times. The model includes the well-known factor, copula, and contagion models as its special cases. The key advantage of such a model is that we can study the interaction of different models and their pricing impact. Specifically, we model the default times of the underlying names in a reference portfolio to follow contagion intensity processes with exponential decay coupled with a copula dependence structure. We also model the default time of the counterparty and its dependence structure with the reference portfolio. Numerical tests show that correlation and contagion have an enormous joint impact on the rates of CDO tranches and the corresponding credit value adjustments are extremely high to compensate for the wrong-way risk.     

Time and the Price Impact of a Trade

We use Hasbrouck's (1991) vector autoregressive model for prices and trades to empirically test and assess the role played by the waiting time between consecutive transactions in the process of price formation. We find that as the time duration between transactions decreases, the price impact of trades, the speed of price adjustment to trade-related information, and the positive autocorrelation of signed trades all increase. This suggests that times when markets are most active are times when there is an increased presence of informed traders; we interpret such markets as having reduced liquidity.     

Evaluating lotteries,risks, and risk‐mitigation programs

Two experiments were designed to explore the existence of systematic differences in risk perceptions and risk attitudes between Chinese and US participants. The first experiment involved ranking monetary lotteries using measures of perceived riskiness and willingness to pay (WTP). Several simple heuristics were evaluated to predict perceived riskiness and WTP. Using WTP responses, Cumulative Prospect Theory functions were determined for participants from both countries. The second experiment involved ranking multi‐attribute real‐world risks and associated risk‐mitigation programs using measures of concern and preference, respectively. Compared to their US counterparts, Chinese participants are found to be less risk averse, more concerned about risks with higher catastrophic potential, and more in favor of risk‐mitigation programs with greater scope of benefit. The results also reveal higher within‐group agreement by Chinese participants for all tasks. For both national groups, the within‐group agreement was highest when ranking risk‐mitigation programs, but lowest when ranking lotteries with negative expected value. The implications of cross‐cultural versus cross‐task variation are discussed.     

Associations between risk judgments and demand for transport risk mitigation

The present study tested a hypothesized model regarding associations between risk sensitivity, risk perception, transport priorities, worry, and demand for risk mitigation in transport. An additional aim was to investigate differences in risk perception, worry, risk sensitivity, transport priorities, and demand for risk mitigation in age-groups, gender, and educational levels. A mail survey was conducted in a representative sample of the Norwegian public over 18?years (n?=?1947) in 2008. The response rate was 31%. The results showed that transport priorities were the strongest predictor of demand for risk mitigation. Risk perception seems to be mediated by worry. Risk sensitivity was directly associated with transport risk perception and, not as predicted, also directly with demand for risk mitigation. The two youngest age-groups (18–30 and 31–50?years) perceived the probabilities of transport accidents in private transportation as significantly larger and also judged other nontransport risks to be larger than those over 50?years of age. The youngest age-group was more worried about injuries from private transportation, but reported lower demands for risk mitigation. The findings merit further research into the relationship between risk perception and demand for risk mitigation. The results indicated that younger individuals were more worried about injuries and assessed the probability of accidents to be larger, while they report a lower demand for risk mitigation compared to older age-groups.     

Does sustainable investing reduce portfolio risk? A multilevel analysis

This study complements and extends prior research on the risk mitigation role of sustainable investing. We use a continuous measure of funds' sustainability traits, rather than a categorical approach, and assess impact on risk directly rather than by looking at fund performance in up versus down markets. We find that sustainable investing plays a significant role in mitigating total, systematic, and idiosyncratic risk of equity funds, even after controlling for other fund characteristics. Further evidence indicates that the explanation for the risk reduction role of sustainable funds largely runs through traits of the firms held in the funds.     

Reducing failures in software development projects: effectiveness of risk mitigation strategies

Risks as uncertain conditions with negative consequences on a software project could increase the failure rate of a project if it is ignored. To identify the effectiveness of risk management strategies, a questionnaire survey among over 1000 software professionals was conducted. Post Hoc Multiple Comparison Test and Kendal’s non-parametric test were employed to analyse risk mitigation strategies in terms of effectiveness in reducing time and cost overruns. Findings reveal risk mitigation strategies related to the technical part are not as efficient as that in the managerial part such as the users’ involvement and commitment in reducing time and cost overruns.     

中国信用风险缓释工具创新试点最新进展研究

信用风险缓释工具是中国银行间市场2010年创新试点推出的信用风险管理工具,它将短期融资券、中期票据和贷款等信用产品的信用风险剥离定价,并转移给愿意承担风险的投资者,其推出从根本上改变了商业银行等金融机构信用风险管理的传统特征。通过对信用风险缓释工具试点中投资主体培育、市场定价、做市商机制、信息披露、市场外部环境建设等问题进行研究,有利于信用缓释工具功能的充分发挥,有利于完善债券市场信用风险分担机制、有利于商业银行等投资者动态、专业地管理信用风险。     

On dividends in the phase–type dual risk model

The dual risk model assumes that the surplus of a company decreases at a constant rate over time, and grows by means of upward jumps which occur at random times with random sizes. In the present work, we study the dual risk renewal model when the waiting times are phase-type distributed. Using the roots of the fundamental and the generalized Lundberg’s equations, we get expressions for the ruin probability and the Laplace transform of the time of ruin for an arbitrary single gain distribution. Then, we address the calculation of expected discounted future dividends particularly when the individual common gains follow a phase-type distribution. We further show that the optimal dividend barrier does not depend on the initial reserve. As far as the roots of the Lundberg equations and the time of ruin are concerned, we address the existing formulae in the corresponding Sparre-Andersen insurance risk model for the first hitting time, and we generalize them to cover also the situations where we have multiple roots. We do that working a new approach and technique, approach we also use for working the dividends, unlike others, it can be also applied for every situation.     

保险公司市场风险经济资本度量研究

经济资本(EC)是在既定期间和置信水平下,公司根据实际承担的风险计算的用以吸收非预期损失的资本额度,目前市场风险是整体经济资本测算体系中最为突出的风险.根据当前保险运营与资产投资的比例特征,同时对资产端与负债端建立市场风险投资模型,采用嵌套随机模拟方法进行两阶段情景生成,度量未来一年内不同风险测度下的市场风险经济资本需求,并对比不同情景数量下的测算稳定性.结果证明:随着内部或外部情景模拟次数的增加,市场风险经济资本测算结果对于极端风险的预测趋于稳定,在内外部情景数量乘积相同时运算时间基本一致.当内外部两阶段情景生成参数差异较大的情形下,应适当增加情景生成数量,以确保对于极端风险预测的准确性.     

Short-term safety or long-term failure? Empirical evidence of the impact of securitization on bank risk

Based on a sample of U.S. commercial banks from 2002 to 2012, this paper shows that bank loan securitization has a significant and positive impact on both Z-scores and the likelihood of bank failure, indicating a short-term risk reduction and a long-term risk increase effect. We also find disparate impacts between mortgage and non-mortgage securitization. Loan sale activities are found to have a similar impact to securitization.     

Optimizing international portfolios with options and forwards

We develop a stochastic programming model to address in a unified manner a number of interrelated decisions in international portfolio management: optimal portfolio diversification and mitigation of market and currency risks. The goal is to control the portfolio’s total risk exposure and attain an effective balance between risk and expected return. By incorporating options and forward contracts in the portfolio optimization model we are able to numerically assess the performance of alternative tactics for mitigating exposure to the primary risks. We find that control of market risk with options has more significant impact on portfolio performance than currency hedging. We demonstrate through extensive empirical tests that incremental benefits, in terms of reducing risk and generating profits, are gained when both the market and currency risks are jointly controlled through appropriate means.     

Capital and resolution policies: The US interbank market

We develop an empirically based simulation study to test two types of policies designed to control systemic risk: preventive policies targeting capital requirements and mitigation policies targeting default resolution. We find that capital buffers reduce both the number of defaults and the resulting losses. The loss reduction benefit increases as the magnitude of adverse shocks becomes higher. We find that a simple branch-breakup resolution strategy reduces the loss borne by the Federal Deposit Insurance Corporation (FDIC). The mitigation effect becomes higher as the fraction of assets resolved through auctions and auction competitiveness increase.     

情景分析在商业银行风险管理中的应用

高级计量法(AMA)是商业银行操作风险计量方法的发展趋势,损失数据的数量和质量影响着AMA模型计量结果的准确性,进而决定了银行操作风险资本要求水平。作为一种前瞻性的风险管理方法,情景分析可以弥补银行内部损失数据不足的问题,同时综合专家经验,在一定程度上克服了VaR模型本身的缺陷。在探讨情景分析方法论的基础上,本文以部分国际同业的实践为例介绍了情景分析的应用流程,并指出国内银行要实施情景分析,必须重视并积极推进历史损失数据的积累,对数据的应用应循序进行,并不断加强对分析人员的培养。     

Linking simulation argument to the AI risk

Metaphysics, future studies, and artificial intelligence (AI) are usually regarded as rather distant, non-intersecting fields. There are, however, interesting points of contact which might highlight some potentially risky aspects of advanced computing technologies. While the original simulation argument of Nick Bostrom was formulated without reference to the enabling AI technologies and accompanying existential risks, I argue that there is an important generic link between the two, whose net effect under a range of plausible scenarios is to reduce the likelihood of our living in a simulation. This has several consequences for risk analysis and risk management, the most important being putting greater priority on confronting “traditional” existential risks, such as those following from the misuse of biotechnology, nuclear winter or supervolcanism. In addition, the present argument demonstrates how – rather counterintuitively – seemingly speculative ontological speculations could, in principle, influence practical decisions on risk mitigation policies.     

Preparing for the worst: public perceptions of risk management innovations

Scholars often call for research on the public’s involvement in crisis and risk mitigation. Yet, before the public can be persuaded to become involved in new mitigation initiatives, risk managers must first understand how members of the public perceive such initiatives. Grounded in diffusion of innovation (DOI) theory, this study presents insights from 70 adult residents of a US urban metro area through focus group research. Findings yield insights about public perceptions of risk management innovations including that ‘greater good’ incentives can motivate interest in innovations (more so than financial incentives), thereby extending DOI theory. In addition, participants suggested mechanisms for facilitating government transparency to encourage program participation, along with additional insights about involving the public in government-sponsored risk management innovations.     

Systemic risk and asymmetric responses in the financial industry

To date, an operational measure of systemic risk capturing nonlinear tail-comovements between system-wide and individual bank returns has not yet been developed. This paper proposes an extension of the CoVaR methodology in Adrian and Brunnermeier (2011) to capture the asymmetric response of the banking system to positive and negative shocks to the market-valued balance sheets of individual banks. Building on a comprehensive sample of U.S. banks in the period 1990–2010, the evidence in this paper shows that ignoring asymmetries that feature tail-interdependences may lead to a severe underestimation of systemic risk. On average, the relative impact on the system of a fall in individual market value is sevenfold that of an increase. Moreover, the downward bias in systemic-risk measuring from ignoring this asymmetric pattern increases with bank size. In particular, the conditional tail-comovement between the banking system and a bank that is losing market value belonging to the top size-sorted decile is nearly 5.5 times larger than the unconditional tail-comovement versus 3.3 times for banks in the bottom decile. The asymmetric model also produces much better fitting, with the restriction that gives rise to the standard symmetric model being rejected for most firms in the sample, particularly, in the segment of large-scale banks. This result is important from a regulatory and supervisory perspective, since the asymmetric generalization enhances the capacity to monitor systemic interdependences.     

Actions towards the joint production of knowledge: the risk of salmon aquaculture on American Lobster

Joint production of knowledge (JPK) is said to facilitate proactive mitigation of risks in marine resource management. However, lack of consensus on who should be involved, when it is happening and the exact mechanisms of sharing knowledge has precluded the development of an effective implementation framework. Here, we explore one approach to building a post-normal science, one that both includes local ecological knowledge and bridges scientific silos. We first identify several actions of knowledge production and then provide an Atlantic Canadian case study, drawn from an assessment of the impact of aquaculture on American lobster, to illustrate necessary actions on the road to JPK. Key actions include theorizing relationships, agreeing on key concepts, specifying, and interpreting required data, identifying principles and making evaluations. We fill a lacuna in the JPK literature by: first, defining knowledge as the result of a set of actions; second, using knowledge generating actions to explore how different knowledge sets come together to contribute to JPK; and third, identifying how knowledge actions can facilitate or inhibit JPK. We conclude that this list of the essential actions of knowledge production is necessary to the successful development of alternative approaches to risk.     

The impact of COVID-19 on the stock market crash risk in China

This study investigates the impact of the COVID-19 pandemic on the stock market crash risk in China. For this purpose, we first estimated the conditional skewness of the return distribution from a GARCH with skewness (GARCH-S) model as the proxy for the equity market crash risk of the Shanghai Stock Exchange. We then constructed a fear index for COVID-19 using data from the Baidu Index. Based on the findings, conditional skewness reacts negatively to daily growth in total confirmed cases, indicating that the pandemic increases stock market crash risk. Moreover, the fear sentiment exacerbates such risk, especially with regard to the impact of COVID-19. In other words, when the fear sentiment is high, the stock market crash risk is more strongly affected by the pandemic. Our evidence is robust for the number of daily deaths and global cases.     

信用风险缓释凭证对企业投资行为的影响——基于融资约束中介效应的实证研究

2018年以来,作为债券融资支持工具的信用风险缓释凭证(CRMW)在我国得到了快速发展。本文采用基于倾向得分匹配的双重差分模型(PSM-DID),利用中国企业数据检验了CRMW产品对企业投资行为的影响。结果显示,我国信用风险缓释凭证的发行促进了非上市企业投资,并且这种促进作用对于融资约束较强的企业更为显著。本文还对CRMW产品通过缓解融资约束促进企业投资的渠道进行了检验,结果发现,CRMW产品对企业融资的促进作用主要体现在信贷融资渠道而非债券渠道。本文结论有助于深化对中国当前资本市场中信用风险缓释凭证的作用效果与作用机制的解读,为政策制定者利用该产品解决民营企业融资难、融资贵的问题提供了更充分的决策参考依据。