A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage

We develop a new framework to characterize the dynamics of triangular (three-point) arbitrage in electronic foreign exchange markets. To examine the properties of arbitrage, we propose a wavelet-based regression approach that is robust to estimation errors, measurement bias and persistence. Relying on this wavelet-based (denoising) inference, we consider various liquidity and market risk indicators to predict arbitrage in a unique ultra-high-frequency exchange rate data set. We find strong empirical evidence that limit order book, realized volatility and cross-correlations help forecast triangular arbitrage profits. The estimates are statistically significant and relevant for investors such that on average 80−100 arbitrage opportunities exist with a short duration (100−500 ms) on a daily basis. Our analysis also reveals that triangular arbitrage opportunities are counter-cyclical at ultra-high-frequency levels: arbitrage returns tend to increase (decrease) in periods when volatility risk and correlations are relatively low (high). We show that liquidity-driven microstructure measures, however, appear to be more powerful in exploiting arbitrage profits when compared to market-driven factors.     

Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.     

城镇化背景下治安治理社会化的探索与创新——以钱江世纪城派出所“物业联席会”创建为例

治安治理社会化的核心是社会力量的参与。从宋代的民治传统到建国以来的政策与实践探索,从警务社会化、治安管理社会化到治安社会化、社会治安社会化治理等概念的相继提出,构成了治安治理社会化的演进脉络。治安治理社会化的本质是治安秩序维护的多元化,强调多元化共治、过程性理念与互动性思维的有机统一。杭州市公安局萧山区分局以“物业联席会”机制创建为载体,整合社会资源,激发社会组织活力,为治安治理社会化提供了更多可能的路径。借鉴“物业联席会”的创建经验,城镇化背景下的治安治理社会化应坚持党委组织领导,协同推进组织载体创新、联动机制创新与智慧化手段运用相融合。     

加大资源整合力度,维护良好矿业秩序

文章总结了河北省张家口蔚县地方煤矿资源整合的经验,对于其它地方整合工作具有一定的参考价值。     

城镇水价收费制度研究

基于调研数据,对影响城镇水价收费制度改革的诸多因素进行了order probit模型的计量分析。研究发现,居民水费支出、收入水平和住房面积等因素,对收费制度改革具有显著的影响关系,而环保宣传、地区因素和居民个体特征因素的影响关系不显著。在此基础上,提出了城镇水价收费制度改革的对策建议。     

三级供应系统库存控制策略研究

基于供应链集成的思想,根据供应链供应网络的供需结构,分析了三级供应链供应网络各节点的需求特征,以供应链各节点的供应或需求产品为对象,采用供应链集成和最优化方法,提出了供应链网络库存控制优化策略。     

改进的库容有限多品种联合订货库存问题研究

在传统的库容有限多品种联合订货库存模型的基础上建立库容有限多个供货商(包括单一供货商)多品种联合订货的库存模型,并给出其算法的步骤和算例。证明改进的多品种订货的库存模型要优于传统的,品种定货库存模型。     

Testing for infinite order stochastic dominance with applications to finance, risk and income inequality

In this paper we develop a test of infinite order degree stochastic dominance based on the use of the empirical Laplace transform function. Two applications are considered. One uses the income data of Anderson (Econometrica 64:1183–1193, 1996) and derives results consistent with his. In the other application we examine the dominance between the U.S. and U.K. stock markets. Using data on the S&P 500 and the FTALL-Share we show that the U.S. displays infinite order degree stochastic dominance of the U.K.

两个不同成本结构订货商的供应链协调问题

考虑一个供应商与两个不同成本结构的订货商之间的供应链协调问题。已有的模型是从销售商的角度出发的,现试从供应商的角度来实现双方的合作,从供应链的整体达到进一步的优化,最后简单地用算例分析了本模型的优越性。     

股权结构、不确定性与现金持有异象 ——经验证据及其解读

以中国非金融业上市公司为研究对象,对现金持有量及其影响因素进行统计分析和实证检验,结果表明：在中国上市公司中,高额现金持有现象普遍存在;在职消费和代理成本都与现金持有量显著正相关;股权集中度和股权制衡度都与现金持有量之间存在显著的倒“U”型关系;经营活动不确定性和财务活动不确定性都与现金持有量显著负相关;盈利能力与现金持有量显著正相关;负债融资与现金持有量显著负相关。上述研究发现提供了一些现金持有异象的经验证据,说明中国上市公司的制度环境和治理结构具有一定的特殊性。