管理组织的信息染色效应

管理组织内外信息交流是一个宏观过程,外部信息是通过管理组织信息染色效应影响决策和行为的,决策是对信息染色重度和排序的选择。无论是被动的,还是主动的接受信息染色都要求一定管理区间和时间上信息染色效应的充分性,但实际上会受到管理缺陷和不充分定义信息染色的局限。在信息对称和不对称情况下信息染色效应具有不同的意义,前者偏重于市场稳定和管理基础,后者更多看重宏观共享信息中管理组织独自获得染色重度和排序的情况。     

Why is equity order flow so persistent?

Order flow in equity markets is remarkably persistent in the sense that order signs (to buy or sell) are positively autocorrelated out to time lags of tens of thousands of orders, corresponding to many days. Two possible explanations are herding, corresponding to positive correlation in the behavior of different investors, or order splitting, corresponding to positive autocorrelation in the behavior of single investors. We investigate this using order flow data from the London Stock Exchange for which we have membership identifiers. By formulating models for herding and order splitting, as well as models for brokerage choice, we are able to overcome the distortion introduced by brokerage. On timescales of less than a few hours the persistence of order flow is overwhelmingly due to splitting rather than herding. We also study the properties of brokerage order flow and show that it is remarkably consistent both cross-sectionally and longitudinally.     

“订单培养”模式下高职学籍管理的实践与思考

首先介绍分析了"订单培养"模式概念及其特征,接着提出了武汉铁路职业技术学院"订单培养"模式下学籍管理面临的问题,最后,对"订单培养"模式下高职学籍管理的问题进行了思考。     

Private information flow and price discovery in the U.S. treasury market

Using intraday data, we identify the intensity of private information flow in the U.S. Treasury market. Our results show that the intensity of private information flow is highly correlated with public information shocks and higher for longer maturity bonds. More importantly, we find that bond price changes associated with high intensity of private information flow tend to be persistent, whereas those associated with low intensity of private information flow are more likely reversed. While public information and private information are the main determinants of bond price variations on days with news announcements, private information and liquidity shocks are important determinants of bond price variations on days with no significant events. Finally, we show that the depth of limit order book is inversely related to the intensity of private information flow. Nevertheless, informed dealers do not seem to use hidden orders to disguise their trading intentions.     

Demand forecasting and order planning for humanitarian logistics: An empirical assessment

Humanitarian aid organizations are most known for their short-term emergency relief. While getting aid items to those in need can be challenging, long-term projects provide an opportunity for demand planning supported by forecasting methods. Based on standardized consumption data of the Operational Center Amsterdam of Médecins Sans Frontières (MSF-OCA) regarding nineteen longer-term aid projects and over 2000 medical items consumed in 2013, we describe and analyze the forecasting and order planning process. We find that several internal and external factors influence forecast and order planning performance, be it indirectly through demand volatility and safety markup. Moreover, we identify opportunities for further improvement for MSF-OCA, and for humanitarian logistics organizations in general.     

The effects of exposure-order and market entry-information on brand preference: a dual process model

A dual process model is proposed that identifies the conditions under which two separate and additive effects on brand preference may obtain. The first is an exposure-order effect that can influence attribute-based processing. The second is the effect of market entry-information that can result in theory-driven processing. The model was tested and supported across two experiments, which demonstrate that the effects of market entry-information and exposure-order on brand preference depend on attribute-type and the time between attribute encoding and preference construction. In contrast to previous research, conditions are identified where market entry-information has no effect on preference and where the second-encountered brand is preferred to the first.     

An identity for the product moments of order statistics

A general identity for the product moments of successive order statistics is given, which is valid in a class of probability distributions including Weibull, Pareto, exponential and Burr distributions.     

基于UML的服装MTO工序优化调度系统设计

基于UML对按定单生产的服装企业生产调度系统进行建模,通过网络关键路径数学模型对订单型服装生产的交货期进行可靠的模拟预测,并根据异动适时的对流水线进行调整,最终保证订单交货期的最大满足.     

网络推销中的渠道管理

与传统推销渠道一样,以互联网作为支撑的网络推销渠道也应具备传统推销渠道的功能.它涉及到信息沟通、资金转移和事物转移等.一个完善的网络推销渠道管理应有三大模块:订货管理、网上付款和运货管理.     

Estimation of slowly decreasing Hawkes kernels: application to high-frequency order book dynamics

We present a modified version of the non parametric Hawkes kernel estimation procedure studied in Bacry and Muzy [arXiv:1401.0903, 2014] that is adapted to slowly decreasing kernels. We show on numerical simulations involving a reasonable number of events that this method allows us to estimate faithfully a power-law decreasing kernel over at least six decades. We then propose a eight-dimensional Hawkes model for all events associated with the first level of some asset order book. Applying our estimation procedure to this model, allows us to uncover the main properties of the coupled dynamics of trade, limit and cancel orders in relationship with the mid-price variations.