A reduced PDE method for European option pricing under multi-scale,multi-factor stochastic volatility

The number of tailor-made hybrid structured products has risen more prominently to fit each investor’s preferences and requirements as they become more diversified. The structured products entail synthetic derivatives such as combinations of bonds and/or stocks conditional on how they are backed up by underlying securities, stochastic volatility, stochastic interest rates or exchanges rates. The complexity of these multi-asset structures yields lots of difficulties of pricing the products. Because of the complexity, Monte-Carlo simulation is a possible choice to price them but it may not produce stable Greeks leading to a trouble in hedging against risks. In this light, it is desirable to use partial differential equations with relevant analytic and numerical techniques. Even if the partial differential equation method would generate stable security prices and Greeks for single asset options, however, it may result in the curse of dimensionality when pricing multi-asset derivatives. In this study, we make the best use of multi-scale nature of stochastic volatility to lift the curse of dimensionality for up to three asset cases. Also, we present a transformation formula by which the pricing group parameters required for the multi-asset options in illiquid market can be calculated from the underlying market parameters.     

土地规模与农户秸秆还田技术采纳——基于冀鲁皖鄂4省的微观调查

研究目的:探讨不同规模农户采纳秸秆还田技术的行为差异和影响因素。研究方法:采用Logistic模型对冀、鲁、皖、鄂4省1372份农户调查数据进行实证分析。研究结果:(1)农户的秸秆还田技术采纳行为存在规模经济效应;(2)地块数和区位条件是限制小规模农户采纳秸秆还田技术的客观因素,在土地规模短期不能扩大的情况下,秸秆还田技术不具备普适性是该项技术推广受阻的重要原因;(3)配备秸秆还田服务人员机构,有针对性地对小规模男性农户进行培训和指导,提高农户的经济收入和经济感知,能显著促进小规模农户采纳秸秆还田技术。研究结论:应从改善机械作业条件,促进土地适度规模经营;改进秸秆还田技术,降低技术采纳成本;培育秸秆还田社会化服务组织,提高农户认知等方面着手,有效推广秸秆还田的耕作技术手段。     

中国北方大规模生猪养殖技术效率研究

[目的]通过对我国北方地区大规模生猪养殖技术效率进行测度,以期发现影响其技术效率增长的主要因素,为我国现阶段生猪养殖业战略性区划调整"南猪北进"工作提供实践指导和理论支持。[方法]根据随机前沿分析方法 (SFA)基本原理,运用对数型柯布—道格拉斯生产函数及我国北方大规模生猪养殖数据构建中国北方大规模生猪养殖随机前沿分析模型,对我国北方大规模生猪养殖技术效率进行测度并据此提出相关建议。[结果]北方地区大规模生猪养殖技术效率值纵向上来看整体在不断下降,而从地域上来看内蒙古自治区和东北地区技术效率值较高,北京与西北地区技术效率值较低。[结论]内蒙古自治区与东北地区适宜作为大规模生猪养殖承载地,与国家政策具有一致性;华北地区与西北地区大规模生猪养殖技术效率测度值较低,存在较大改进空间;针对该现状提出构建经济效益与环境保护并重的规模生态生猪养殖体系。     

不完备信息系统辐射源威胁等级判定

针对不完备信息系统条件下的辐射源威胁等级判定问题，提出了一种基于改进容差关系粗糙集（ITR-RS）的不完备信息系统辐射源威胁等级判定方法。该方法将粗糙集中的不完备信息系统理论引入辐射源威胁等级判定中，并构建一套完备的决策规则提取模型。此外，利用辨识矩阵实现对属性的约简，在降低系统所需处理数据量的同时，提高了算法的实时性；在容差关系粗糙集的基础上，提出一种改进的容差关系，在属性主、客权重相结合的基础上引入阈值来划分加权阈值容差类，得到更为合理、准确的决策规则。仿真试验及分析表明，与经典RS算法相比，所提算法的威胁等级判定正确率提高了23%，可用于信息系统不完备条件下的辐射源威胁等级判定。     

Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes

This paper contributes to the nascent literature on nowcasting and forecasting GDP in emerging market economies using big data methods. This is done by analyzing the usefulness of various dimension-reduction, machine learning and shrinkage methods, including sparse principal component analysis (SPCA), the elastic net, the least absolute shrinkage operator, and least angle regression when constructing predictions using latent global macroeconomic and financial factors (diffusion indexes) in a dynamic factor model (DFM). We also utilize a judgmental dimension-reduction method called the Bloomberg Relevance Index (BRI), which is an index that assigns a measure of importance to each variable in a dataset depending on the variable’s usage by market participants. Our empirical analysis shows that, when specified using dimension-reduction methods (particularly BRI and SPCA), DFMs yield superior predictions relative to both benchmark linear econometric models and simple DFMs. Moreover, global financial and macroeconomic (business cycle) diffusion indexes constructed using targeted predictors are found to be important in four of the five emerging market economies that we study (Brazil, Mexico, South Africa, and Turkey). These findings point to the importance of spillover effects across emerging market economies, and underscore the significance of characterizing such linkages parsimoniously when utilizing high-dimensional global datasets.     

我国中小企业三维差异化特征比较研究

作为推动国民经济增长和促进社会稳定的基础力量,中小企业在市场中扮演着最活跃的经济主体。与大企业相比,中小企业有其鲜明的成长特征,从动态演进视角选取体量规模、生命周期、要素需求三个维度,系统探讨了中小企业的差异化特征。结论显示:体量规模特征反映在个体与群体以及经济板块之间;生命周期特征体现在死亡陷阱和空间格局演变上;要素需求特征会根据阶段创新内容的不同做出适时调整。     

Educational Development in South Sudan: Conscious Design or Spontaneous Order?

Educational development is key to the future prosperity of South Sudan. Officially the situation appears bleak with up to 50 per cent of primary‐aged children out of school, high reported dropout rates and poor attainment. Those involved in the development of education, government departments, international agencies, individuals and communities are each following one of two different approaches as they seek to extend the reach of education. The article suggests that these different approaches arise because those involved hold to either a conscious‐design or a spontaneous‐order model for educational development. The article looks at the recent development of schools in Juba, the capital of South Sudan, in the light of these two theories and finds, despite the rhetoric of the official reports, that most growth is organic and that most recent educational development is emerging spontaneously.     

Defining Capitalism

This article aims to incorporate the essential features of capitalism in an operational definition that identifies capitalism per se (pure laissez‐faire capitalism), and clearly excludes variations such as welfare capitalism and crony capitalism. By concisely highlighting the fundamental structures and mechanisms of capitalism, this essential definition facilitates defences of it that are more robust than those ordinarily offered. It also clarifies the relation between capitalism and phenomena with which it is frequently associated, and suggests a straightforward way of identifying and measuring the extent of capitalism in mixed economies.     

Optimal order display in limit order markets with liquidity competition

Order display is associated with benefits and costs. Benefits arise from increased execution-priority, while costs are due to adverse market impact. We analyze a structural model of optimal order placement that captures trade-off between the costs and benefits of order display. For a benchmark model of pure liquidity competition, we give a closed-form solution for optimal display sizes. We show that competition in liquidity supply incentivizes the use of hidden orders to prevent losses due to over-bidding. Thus, because aggressive liquidity competition is more prevalent in liquid stocks, our model predicts that the proportion of hidden liquidity is higher in liquid markets. Our theoretical considerations ares supported by an empirical analysis using high-frequency order-message data from NASDAQ. We find that there are no benefits in hiding orders in il-liquid stocks, whereas the performance gains can be significant in liquid stocks.     

西北地区农村居民点景观格局指数的尺度效应及其最佳粒度选择分析——以西安市为例

文章以西安市2013年土地利用调查数据为源数据,基于arcgis10.0与Fragstats3.4软件,运用景观空间格局的分析方法,从斑块、类型等2个水平上分析西安市农村居民点景观空间格局粒度效应。结果表明:(1)粒度效应敏感的指数有斑块密度、斑块个数、分离度指数、邻近度指数,粒度效应比较敏感的指数有平均斑块面积、最大斑块指数,粒度效应最不敏感的指数有形状指数、聚集度指数及结合度指数。(2)大致可将上述9种景观指数分为3类:第一类,随着粒度的增大,景观指数值表现为下降的变化趋势;第二类,随着粒度的增大,景观指数值呈逐渐增大的趋势;第三类,随着尺度的增大,具有显著的尺度转折,可预测性差。(3)随着粒度的粗化,农村居民点破碎度降低,优势度增加,形状变得规则,分布趋向分散。该研究区农村居民点最佳尺度范围为60~90m,适宜粒度为90m。