票据市场利率体系及其与银行间货币市场整体利率的关系

我国的商业汇票利率体系主要由承兑费率、贴现利率、转贴现利率和再贴现利率构成。其中作为银行间市场业务的票据转贴现，其利率已实现市场化。在监管部门加大力度规范会计科目核算、严查逃避信贷规模的票据业务后，买断性日趋明显，其利率更多受到信贷规模影响，与其它银行间货币市场利率产生了一定背离；回购式转贴现业务则逐步脱离规模互转方式，近期呈现了较强的资金业务特性，利率水平逐步接轨其它银行间货币市场利率。     

RISK MEASURES FOR NON-INTEGRABLE RANDOM VARIABLES

We show that when a real-valued risk measure is defined on a solid, rearrangement invariant space of random variables, then necessarily it satisfies a weak compactness, also called continuity from below, property, and the space necessarily consists of integrable random variables. As a result we see that a risk measure defined for, say, Cauchy-distributed random variable, must take infinite values for some of the random variables.     

需求不确定下多产品动态定价模型研究

制造商的多产品动态定价问题要考虑原材料的采购、多种产品的生产制造、库存,以及处理下游订单等的成本和未满足的需求及运送的前置时间。通过引入时空网络,建立使制造商期望利润最大的动态定价数学模型,实例分析表明,制造商期望利润最大化的最优价格、最优产品生产量与最优库存量能,是制造商制定合理的生产计划的决策依据。     

中小企业金融服务供给及风险控制研究

本文在对上海市和长三角地区中小企业融资状况调查数据分析的基础上,讨论了在目前宏观经济环境下中小企业的融资约束问题.文章对在上海市建立中小企业融资服务平台以及直接补贴金融机构的支持政策作了探讨,并且结合上海国际金融中心的建设提出了一些政策性建议.     

Lee—Carter框架下基于Wang变换的生存债券定价研究

为了给人寿保险公司和退休基金套期长寿风险提供一种非传统风险转移方式,我们设计了一种以公共死亡率指数为标的的一种生存债券.通过经典的Lee-Carter模型预测死亡率指数,并利用著名的Wang变换为带息票生存债券定价.     

Risk-type density diagrams by crash type on two-lane rural roads

The research presented here aims to plot density diagrams per road crash risk type to identify all possible scenarios where driving is less than safe. The starting point was the prediction of injury crash rate on horizontal homogeneous segments of two-lane rural roads for three main injurious crash types (head-on/side collisions, rear-end crashes, and single-vehicle run-off-road crashes) as observed on the network. A careful analysis of the database shows that a wide variety of factors appear to be influenced or associated with the crash dynamic, as follows: the road scenario (combination of infrastructure and environmental conditions found at the site at the time of the crash), mean lane width, the horizontal curvature indicator (measurement of the curvature change rate), and mean speed. Crashes recorded from 2003 to 2010, of which 1597 were injurious, and 645 resulted only in damage to property, were analyzed on more than 3700?km of road network in Southern Italy. Generalized estimating equations with a negative binomial distribution were implemented. Risk-type density charts were plotted to thoroughly identify all possible combinations of existing explicative variables producing hazardous conditions on the road. The different shades in the diagrams represent different ranges of injurious crash rates: the white band shows low levels, while a black band shows high values. It is not possible to consider working on an explanatory variable to reduce hazardous conditions on the road network without also considering how this variation might affect the influence of the remaining explanatory variables on crash phenomena and, consequently, on the predictive model. The risk maps make it possible to keep under control in a simple and immediate approach the way each variable as a result of variations of a part or of all.     

Surviving progress: managing the collective risks of civilization

As optimism is becoming ever more apparent, progress carries with it both promise and pitfalls. Though it is quite natural for humans to take an optimistic view of life, this optimism must at the same time be tempered with realism. We cannot therefore let a focus on average, or expected, outcomes cause us to ignore possible high-stakes (existential) risks associated with what is becoming an increasingly complex world. In this paper, we argue that a more complete view is necessary for a proper assessment of not only the technical aspects of high-stakes risk management, but also the social, political, and economic framework within which it is carried out. Unfortunately, attention to such crucial details is not often the case.     

A decision analytic approach for technology portfolio prioritization: aviation safety applications

A decision analytic approach for evaluating new aviation safety products and technologies is developed and demonstrated to consolidate five existing program assessment metrics to develop a unified metric that simultaneously considers the relative importance and contribution of each. This allows for a meaningful and objective evaluation and comparison of the National Aeronautics and Space Administration (NASA) Aviation Safety Program (AvSP) advanced aeronautical products and technologies. The resulting decision model is referred to as the Composite Program Assessment Score (CPAS). The CPAS includes the five existing metrics; technical development risk, implementation risk, fatal accident rate reduction, safety benefits and cost, and safety risk reduction, which are each defined and quantified by different sources. The CPAS involves the scaling and combination of these individual metrics. In this paper, two alternative combinatorial modeling approaches to calculate the CPAS are presented. The weighted sum model and an additive value theory model are compared and contrasted. The resulting CPAS metrics allow an overall comparison of all 48 of the NASA AvSP products and technologies. Currently CPAS is based on preliminary weight measures from subject matter experts to reflect the relative importance of each metric. Actual case studies of both linear and non‐linear value functions are demonstrated.     

A real-world analysis of healthcare costs and relative risk of hyperprolactinemia associated with antipsychotic treatments in the United States

Abstract

Aims: Antipsychotic medications are associated with an increased risk of hyperprolactinemia, but differ in their propensity to cause this complication. This study aimed to assess the economic burden of hyperprolactinemia, and to compare its risk among adult patients using atypical antipsychotics (AAs) with a mechanism of action associated with no/low vs high/moderate prolactin elevation.

Methods: This retrospective cohort study was based on US Commercial and Medicaid claims databases. Healthcare costs were compared between matched hyperprolactinemia and hyperprolactinemia-free cohorts using a two-part model. Risk of hyperprolactinemia was compared between patients receiving AAs with a mechanism of action associated with no/low (no/low prolactin elevation cohort) vs high/moderate prolactin elevation (high/moderate prolactin cohort) using logistic regression.

Results: In the commercially insured sample, compared to the hyperprolactinemia-free cohort (n?=?499), the hyperprolactinemia cohort (n?=?499) was associated with incremental total healthcare costs of $5,732 ($20,081 vs $14,349; p?=?.004), and incremental medical costs of $3,861 ($13,218 vs $9,357; p?=?.040), mainly driven by hyperprolactinemia-related costs. In the Medicaid-insured sample, compared to the hyperprolactinemia-free cohort, the hyperprolactinemia cohort was associated with incremental total healthcare costs of $10,773 ($30,763 vs $19,990; p?=?.004), and incremental medical costs of $9,246 ($20,859 vs $11,613; p?=?.004), mainly driven by hyperprolactinemia-related and mental health-related costs. The odds of hyperprolactinemia in the no/low prolactin elevation cohort were 4–5-times lower than that in the high/moderate prolactin elevation cohort (odds ratio =0.21; p?<?.001).

Limitations: Hyperprolactinemia may be under-reported in claims data.

Conclusions: Hyperprolactinemia is associated with substantial healthcare costs. AAs associated with no/low prolactin elevation reduce the risk of hyperprolactinemia by 4–5-times compared to AAs associated with moderate/high prolactin elevation. Treatment options with minimal impact on prolactin levels may contribute to reducing hyperprolactinemia burden in AA-treated patients.