Operational risk quantified with spectral risk measures: a refined closed-form approximation

The quantification of operational risk has become an important issue as a result of the new capital charges required by the Basel Capital Accord (Basel II) to cover the potential losses of this type of risk. In this paper, we investigate second-order approximation of operational risk quantified with spectral risk measures (OpSRMs) within the theory of second-order regular variation (2RV) and second-order subexponentiality. The result shows that asymptotically two cases (the fast convergence case and the slow convergence) arise depending on the range of the second-order parameter. We also show that the second-order approximation under 2RV is asymptotically equivalent to the slow convergence case. A number of Monte Carlo simulations for a range of empirically relevant frequency and severity distributions are employed to illustrate the performance of our second-order results. The simulation results indicate that our second-order approximations tend to reduce the estimation errors to a great degree, especially for the fast convergence case, and are able to capture the sub-extremal behavior of OpSRMs better than the first-order approximation. Our asymptotic results have implications for the regulation of financial institutions, and may provide further insights into the measurement and management of operational risk.     

On the need to compensate the compensating variation in CGE modeling

The message of this research is that in the standard calibrated setting of Computational General Equilibrium (CGE) models, the welfare measures typically used to compare benchmark with counterfactuals are numéraire dependent. This evaluation bias affects the compensating variation and the Konüs index of cost of living. We show that the equivalent variation is neutral regarding the choice of value units in calibrated models but would be affected as well in uncalibrated CGE models. We illustrate with a simple example and propose an even simpler theoretical solution to overcome these biases; all that is required to have correct welfare estimates is to compensate normalizing with a suitable price index. This type of correction is necessary to overcome the sometimes blind implementation of welfare measures in numerical general equilibrium analysis. We show that the induced quantitative errors may be substantial providing biased welfare estimates and misleading results.     

企业持续成长模式探讨——“变异”与持续成长

本文讨论了企业的持续成长模式．在借鉴生物生存机理的基础上．提出了“前变异”与“后变异”的概念．认为“前变异”是企业获取突破性技术的基本模式．“前变异”具有随机性和无指向性的特点．企业中大量存在的非分工合作是产生“前变异”的基础。     

福州市旅游客流量现状及其驱动因素

旅游客流量是衡量区域旅游业及旅游经济发展快慢的一个重要指标,也是反映旅游区景观质量好坏与综合服务水平高低的一个综合指标。文章依据福州市最近5年(1999—2003年)的旅游客流量及相关的社会经济数据,分年度、季度、月与黄金周等不同时段对近年来福州市区域旅游客流量的现状及其变动状况进行分析,并从旅游景区(点)内在的引力因素与外在的社会环境驱动因素两方面对影响福州市客流量的主要驱动因素进行了分析。     

Time variation in the cointegrating relationship between stock prices and economic activity

The present paper examines whether there exists a long‐run cointegrating relationship between a stock market index and output and interest rates. Moreover, estimation is conducted over the full sample and both a recursive and rolling sample to examine any time variation in the nature of the relationship. The results support evidence of a single cointegrating vector, where stock prices typically exhibit a positive relationship with industrial production and a negative relationship with interest rates. However, there is significant time variation and periods of time where contrary results are observed. As such any model of stock prices needs to account for such time variation     

论如何加强设计变更控制

设计变更是工程变更的一部分内容，它关系到工程的进度、质量和投资控制。有效地对设计变更进行管理是确保工程质量和工期、控制工程造价的途径之一。在工程项目建设过程中需要加强设计变更的控制。从不同角度分析了设计变更出现的原因，提出应规范各参与单位的行为，提高变更管理水平。     

设计-施工总承包模式在南京地铁盾构工程中应用

设计—施工总承包模式的特点和优点已经得到业界的广泛认同，但该模式目前在我国成功应用的例子还不是很多。通过对南京地铁盾构工程在不同承包模式下合同支付费用变更的研究，分析了设计—施工总承包模式在该工程中应用的优越性，并进一步对城市轨道交通建设中复杂、特殊工程的承包模式提出了建议。     

Do monetary subjective well-being evaluations vary across space? Comparing continuous and discrete spatial heterogeneity

Using subjective well-being estimations, this study analyzes whether compensating variations vary across space using a cross-sectional data set from Chile. To achieve this goal, it describes and compares two econometric ways of modelling unobserved spatial heterogeneity. Both approaches allow compensating variations to vary across spatial units by assuming some distribution a priori. One method assumes that the spatial heterogeneity can be represented by a discrete distribution (a group of regions that share the same coefficient) and the other that the preferences can be represented by a continuous distribution (each region has a different coefficient). The results show that focusing just on the average estimates of compensating variations, as the applied studies have done so far, masks useful local variation. More empirical studies are needed to assess the advantages and disadvantages of both econometric approaches and how their results compare across a wide range of conditions and samples.     

山东省耕地利用集约度时空变化及政策启示

研究目的:通过分析1993-2014年山东省耕地利用集约度总体和各投入要素集约度的时空变化特征及影响因素,进而探讨耕地利用集约度与社会经济发展水平的协调程度,并提出相应政策措施,以提高山东省耕地集约利用水平,保障区域粮食安全。研究方法:能值分析、GIS空间分析、主成分分析。研究结果:(1)1993-2014年,山东省耕地利用集约度总体呈增长态势,而劳动集约度不断下降;资本集约度中,属于省工性投入的农业机械集约度呈现出显著的线性增长特征,属于增产性投入的化肥、农药和农膜集约度均呈先升后降的趋势。(2)全省耕地集约利用水平空间差异明显,总体上呈"东西高,南北低"的特点。(3)耕地利用集约度在一定程度上受社会经济发展水平的制约,两者存在着不协调现象。研究结论:1993-2014年,山东省耕地利用集约度不断上升的同时也存在明显的区域差异,不同区域应依据当地自然和社会经济条件,采取相应措施提高耕地集约利用水平。     

PRICING DERIVATIVES ON MULTISCALE DIFFUSIONS: AN EIGENFUNCTION EXPANSION APPROACH

Using tools from spectral analysis, singular and regular perturbation theory, we develop a systematic method for analytically computing the approximate price of a large class of derivative‐assets. The payoff of the derivative‐assets may be path‐dependent. In addition, the process underlying the derivatives may exhibit killing (i.e., jump to default) as well as combined local/nonlocal stochastic volatility. The nonlocal component of volatility may be multiscale, in the sense that it may be driven by one fast‐varying and one slow‐varying factor. The flexibility of our modeling framework is contrasted by the simplicity of our method. We reduce the derivative pricing problem to that of solving a single eigenvalue equation. Once the eigenvalue equation is solved, the approximate price of a derivative can be calculated formulaically. To illustrate our method, we calculate the approximate price of three derivative‐assets: a vanilla option on a defaultable stock, a path‐dependent option on a nondefaultable stock, and a bond in a short‐rate model.