Modelling demand for lotto using a novel method of correcting for endogeneity

Modelling lottery sales as a function of the mean, standard deviation and skewness of the probability distribution of returns potentially gives insights into how the design of a game could be modified to maximise net revenue. But use of OLS is problematic because the level of sales itself affects values of the moments (and insufficient instruments are available for IV regression). We draw on the concept of a rational expectations equilibrium, developing a new regression model which corrects for endogeneity where the causal impact of the dependent variable on the right-hand side variables is deterministic. We apply the model to data on lotto sales from Spain. Using the Spanish data, we show that results provide more reliable guidance to lottery agencies because accounting for endogeneity leads to significantly different results from OLS and these results have superior performance in out-of-sample forecasting of sales. More generally, results prove consistent with the Friedman-Savage explanation of why people buy lottery tickets and with evidence from racetrack data that ‘bettors love skewness’.     

制约边疆民族地区贫困村发展生态农业的关键因素研究

以调查问卷和实证研究为主,以典型的边疆民族地区——云南省为例,对制约边疆民族地区贫困村发展生态农业的关键因素进行研究。根据产业布局理论,从地理位置因素、自然因素、人力资源因素、社会经济因素、科学技术因素5个维度,构建了影响边疆民族地区贫困村发展生态农业的20个指标。400份调查数据显示,承包土(山)地确权登记情况整体较好,有助于农村土地实施“三权分置”;生态农业发展水平整体较差,仍以传统农业为主。运用灰色关联分析方法提取出排名前五位的因素,分别是生态产品的市场销路、村两委的领导能力、基础设施、发展生态农业的技术人才、发展生态农业的资金。相对于其他因素,这五个因素是优先解决的关键问题。     

北京农户增收影响因素与对策研究

对北京农户收入面板数据及187户实地调研数据进行分析，得出农户收入稳步增长、增速平缓、农户收入以工资性收入为主、城乡收入差距大和各区之间农户收入差异大的结论以及存在着农户增收活力不足、经营收益低、财产性所得少、新型农业发展不足、农村人口老龄化、农民文化程度低和农民健康状况差的问题。认为深化农业农村改革、鼓励土地流转、改善人居环境、完善支农政策、推广医疗保险、吸引人才下乡和培育职业农民可增加农户收入。     

风险层级决策体系下的财务共享中心权责研究

由共享思想衍生的财务共享服务在当前的我国大型企业中已经得到较广泛的运用,当企业的业务线撤销财务权力后,所带来的财务共享中心的权责问题成为了阻碍财务共享服务提升流程处理效率的因素之一。通过对决策事件进行影响度以及风险性的划分并形成决策矩阵,探析在不同组织层级下财务共享中心的具体决策权之所在以及财务共享中心对于企业应急事件信息处理的反应系统,以期为财务共享中心的权责问题决策提供参考。     

Risk aversion,public disclosure,and partially informed outsiders

In this paper, we examine the impact of public disclosure and partially informed outsiders on a risk-averse insider’s trading behavior, market efficiency, and market depth. In our model, under disclosure requirements, except for the final auction, market depth is the same at every auction. When informed outsiders are risk-neutral, in contrast to the case of a risk-averse insider with no informed outsiders, the insider is more concerned about the uncertainty about future price risk. When the number of informed outsiders increases, market liquidity improves, and the insider increases the variance of her random component to conceal her trading strategy. However, since the insider is relatively more risk-averse, she pays less attention to doing this on her own. Besides, the order flow provided by informed outsiders and randomly added by the insider injects additional liquidity into the market. When informed outsiders are risk-averse, compared to risk-neutral informed outsiders, an insider is most concerned about trading risks brought by informed outsiders at the beginning of trading. Furthermore, whether the trader is an insider or informed outsider, the more risk-averse trader has lower expected profits. Moreover, outsiders’ greater risk aversion leads to a smaller market depth.     

Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis

This paper proposes a quantile variance decomposition framework for measuring extreme risk spillover effects across international stock markets. The framework extends the spillover index approach suggested by Diebold and Yilmaz (2009) using a quantile regression analysis instead of the ordinary least squares estimation. Thus, the framework provides a new tool for further study into the extreme risk spillover effects. The model is applied to G7 and BRICS stock markets, from which new insights emerged as to the extreme risk spillovers across G7 and BRICS stock markets, and revealed how extreme risk spillover across developed and emerging stock markets. These findings have important implications for market regulators.     

‘Real without being concrete’: the ontology of public concern and its significance for the Social Amplification of Risk Framework (SARF)

Abstract

Public concern is a pivotal notion in the risk perception, communication and management literature. It is, for example, a central concept with regard to the social amplification of risk, and as a justification for policy attention. Despite its ubiquity, the notion of public concern remains a ‘black box’ presenting a poorly understood state of affairs as a reified matter-of-fact. Paying attention to the deployment and metrics of public concern, and the work it is required to do, will enhance the power of approaches to understanding risk, and policymaking. Thus, the broad purpose of this paper is to unpack the notion of public concern by adopting an ontological yet critical perspective, drawing on a range of literature that considers ontology. We reflect on how publics and public concern have been conceptualised with regard to the dichotomies of individual/social and private/public, given that they imply different levels and dimensions of concern. We draw on empirical work that illuminates the assessment and measurement of public concern and how the public have responded to risk events. Considering public concern through an ontological lens affords a means of drawing renewed critical attention to objects that might otherwise appear finished or ready-made.     

Business model risk and uncertainty factors: Toward building and maintaining profitable and sustainable business models

Business models and business model innovation—and particularly their opportunities—have been a popular topic recently, but we find the extant literature on the subject lacking. The risk and uncertainty aspect typical of business models has not been sufficiently addressed. We draw upon the existing literature and triangulate results with an extensive expert group interview to identify 28 risk and uncertainty factor groups, creating a checklist that can be used as the first step in an integrative business model risk management process for existing and new iterations. With an established process for managing and identifying risk in business models, managers can make more conscious and well-informed decisions.     

Size and value effects in high-tech industries: The role of R&D investment

We use monthly US stock data over 55 years from 1962 to 2017 to show that the R&D intensity at firms adds another important dimension to the size and value effects in describing stock returns, especially for small high-tech firms. A trading strategy that double sorts on R&D intensity and size or book-to-market ratio outperforms a simple small-minus-big (SMB) or high-minus-low (HML) strategy in producing higher and more significant portfolio returns. The most profitable schemes involve triple sorts by size, BM, and R&D intensity: the payoffs of buying high-BM/R&D-Active portfolio and selling low-BM/R&D-Inactive portfolio in the small-size/high-tech group and that of buying high-tech/high-BM and selling low-tech/low-BM in the small-size/R&D-active group generate a return of more than 2% on a monthly basis. Our results are robust to alternative classification method of assigning stocks in portfolios.     

影响客运车辆交通安全的因素及其对策

客运车辆安全管理工作是减少交通事故发生和降低人员伤亡及经济损失的有效手段。本文通过分析影响客运车辆安全运行的各种因素,以及部分实际发生的客运车辆交通事故案例,提出了加强和改善客运车辆安全管理的对策和技术措施,对防止或减少客运车辆运营安全事故,提高客运企业安全生产技术和管理水平具有重要意义。