ARBITRAGE BOUNDS FOR PRICES OF WEIGHTED VARIANCE SWAPS

We develop a theory of robust pricing and hedging of a weighted variance swap given market prices for a finite number of co‐maturing put options. We assume the put option prices do not admit arbitrage and deduce no‐arbitrage bounds on the weighted variance swap along with super‐ and sub‐replicating strategies that enforce them. We find that market quotes for variance swaps are surprisingly close to the model‐free lower bounds we determine. We solve the problem by transforming it into an analogous question for a European option with a convex payoff. The lower bound becomes a problem in semi‐infinite linear programming which we solve in detail. The upper bound is explicit. We work in a model‐independent and probability‐free setup. In particular, we use and extend Föllmer's pathwise stochastic calculus. Appropriate notions of arbitrage and admissibility are introduced. This allows us to establish the usual hedging relation between the variance swap and the “log contract” and similar connections for weighted variance swaps. Our results take the form of a FTAP: we show that the absence of (weak) arbitrage is equivalent to the existence of a classical model which reproduces the observed prices via risk‐neutral expectations of discounted payoffs.     

一种基于CMA和DDLMS算法的双模式盲均衡算法

为进一步改进盲均衡算法收敛速度慢、稳态误差大、计算复杂度高等问题,提出一种切换模式和加权模式联合CMA(Constant Modulus Algorithm)+DDLMS(Direct Decision Least Mean Square)双模式盲均衡算法。综合切换双模式盲均衡算法和加权双模式盲均衡算法的优缺点,对切换、加权模式联合的CMA+DDLMS双模式盲均衡算法进行仿真。在不同信噪比条件下,对CMA算法、MCMA(Modified CMA)算法、DDLMS算法和CMA+DDLMS双模式盲均衡算法进行仿真,结果表明,所提算法收敛速度快,约为600个符号;稳态误差小,约为0.1;误码率小,在信噪比为25 dB时,误码率约为10-6。该算法可广泛应用于无线通信、光通信、声呐和雷达等众多领域。     

Probabilistic Bounds on the Virtual Multipliers in Data Envelopment Analysis: Polyhedral Cone Constraints

The paper is concerned with the incorporation of polyhedral cone constraints on the virtual multipliers in DEA. The incorporation of probabilistic bounds on the virtual multipliers based upon a stochastic benchmark vector is demonstrated. The suggested approach involves a stochastic (chance constrained) programming model with multipliers constrained to the cone spanned by confidence intervals for the components of the stochastic benchmark vector at varying probability levels. Consider a polyhedral assurance region based upon bounded pairwise ratios between multipliers. It is shown that in general it is never possible to identify a center-vector defined as a vector in the interior of the cone with identical angles to all extreme rays spanning the cone. Smooth cones are suggested if an asymmetric variation in the set of feasible relative prices is to be avoided.     

中国海洋强国、强省（市）指数测算研究

借鉴国际国内发展指数和经济强国指数的构建原理和方法,结合我国海洋事业发展现状,运用主成分分析和独立性分析等方法,设计构建海洋强国指数测算指标体系,建立算术加权合成指数测算模型。对我国沿海地区2007—2011年间海洋经济发展指数、海洋科技发展指数、海洋资源存量指数、海洋可持续发展指数、海洋产业竞争力指数等个体指数进行测算,并合成计算得到海洋强省（市）指数,以此为基础对我国2002—2011年的海洋强国指数进行综合测算,根据指数变化趋势图对我国海洋经济、科技、可持续以及产业发展情况进行了动态分析,探究了海洋强国、强省（市）指数变化的内在动因。     

基于资源环境约束下的休闲观光农业园游客满意度研究——以北戴河集发农业园为例

文章基于资源环境的约束,以北戴河集发休闲农业观光园为例,针对影响客户满意度的问题运用问卷调查法,即发放、搜集、收回和整理问卷,进行调查并数理统计。其中,高达95.8%问卷回收率,保障了问题研究所用数据的科学性、规范性和客观性。基于国、内外游客满意度的研究现状,在前人游客满意度分析模型研究基础上,根据实际所得数据建立了休闲农业观光园游客满意度分析模型——因子模型。因子模型是利用加权平均法计算权重函数的权重值,得到客户满意度的指标权重,对实际所得数据按照上述步骤处理,运用因子模型计算得到客户处于中等满意度的结论。该研究对因子模型进行了检验,证明了模型的有效性,提出了当前休闲农业发展的短板和需要提高的方面,为以后休闲农业的发展提供了侧重方向。     

基于加权Voronoi多边形的山区农村居民点优化布局———以重庆市崇龛镇与石龙镇为例

中国的城市化进程伴随着农村人口向城市大量转移,使得乡村普遍面临人口流失、耕地撂荒及居民点闲置等问题,严重限制农村地区的经济发展,影响基础设施与公共服务设施的配置效率。优化农村居民点布局,实现资源的集约节约利用是国家新型城镇化规划的重要内容。文章以重庆市潼南县崇龛镇与巴南区石龙镇为例,探讨西南地区农村居民点空间布局优化的科学方法。首先,结合西南地区特有的自然人文条件,运用GIS空间分析技术与景观格局指数分析居民点分布特征;然后,构建包括限制性评价与适宜性评价两个阶段的西南地区居民点综合评价体系;基于对未来乡村发展趋势的判断,依据公平与效率原则,将现有居民点划分为发展型、保留型及迁并型等3类;在此基础上,运用加权Voronoi图确定重点发展型居民点的增长极引力范围,明确迁并型居民点与保留型居民点的发展方向,最终确定农村居民点布局的优化方案。经过优化,崇龛镇基于效率原则确定出222个重点发展型居民点,节约农村居民点用地0.813km2;石龙镇基于公平原则整理出416个重点发展型居民点,节约农村居民点用地0.301km2。研究能为2个示范镇农村居民点的规划优化提供科学依据,也为西南地区开展新型城镇化规划提供参考。     

Measuring voting power in an international institution: the United States and the inter-American development bank

This paper applies a measure of relative voting power to the weighted voting system of the Inter-American Development Bank (IADB). Almost all assessments of internal governance of the IADB and other international financial institutions make reference to members' votes as a proxy for relative influence. But as this paper demonstrates, voting weights are misleading. The number of votes a country has in a weighted voting system does not necessarily denote its ability to affect outcomes. The conventional wisdom holds that the United States is omnipotent in the IADB because it has a large number (over 30 percent) of all the votes. This paper reveals that the U.S. obtains much more control over outcomes than originally intended by the institutions' designers. Received: September 2000 / Accepted: October 2001     

Modelling & Controlling Monetary and Economic Identities with Constrained State Space Models

The paper presents a method for modelling and controlling time series with identity structures. The approach is presented in the context of monetary targeting where the monetary identity (e.g. reserve money equals net foreign assets plus domestic credit) is modelled using a constrained state space model and next‐period changes in domestic credit (policy variable) are estimated to reach the target level of reserve money. The constrained modelling ensures that aggregation and identity relations among items are dynamically satisfied during estimation, leading to more accurate forecasting and targeting. Applications to Germany, UK and USA show that the constrained state space model provides significant improvements in targeting and forecasting performance over the AR(1) benchmark and the unconstrained model. Reduction in the mean square error of targeting over AR(1) is in the range of 76–95% for the three countries while the gain in targeting efficiency over unconstrained modelling is between 21% and 55%. Beyond monetary targeting, the method has wide application to the dynamic modelling and control of economic and financial time series with identity and aggregation constraints (e.g. balance of payment, national income, purchasing power parity, company balance sheet).     

人口老龄化对经济高质量发展影响的空间效应——基于省级面板数据

选取2012—2022年省级面板数据,运用定基极差熵权法、空间计量模型和时空地理加权回归模型分析人口老龄化对经济高质量发展的空间影响效应。研究结果表明：从全国层面来看,人口老龄化不仅促进了本地区经济高质量发展,同时对周边地区也有正向空间溢出效应;人口老龄化对经济高质量发展的影响效应存在区域异质性,东南沿海和中南部地区表现为促进作用,西部和北部地区表现为抑制作用,并且呈现出很强的空间集聚特征。     

Polytomous logistic regression

In this paper a review will be given of some methods available for modelling relationships between categorical response variables and explanatory variables. These methods are all classed under the name polytomous logistic regression (PLR). Models for PLR will be presented and compared; model parameters will be tested and estimated by weighted least squares and by likelihood. Usually, software is needed for computation, and available statistical software is reported.
An industrial problem is solved to some extent as an example to illustrate the use of PLR. The paper is concluded by a discussion on the various PLR-methods and some topics that need a further study are mentioned.