Commonalities in the order book

This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price, we find that the factor information shares are highest (about 10%) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.

考虑物料、产能和客户优先级三重约束的订单允诺管理问题研究

客户订单允诺管理是在市场全球化的背景下．综合考虑各种资源有限性,对客户的订单给予准确的答复．因而具有很好的应用前号。文章对现有客户订单允诺模型做出改进,在供应链资源即物料和产能双重限制下,加入客户优先级约束,通过建立模型求解,给出合理的客户订单允诺机制。文中不仅定性分析客户优先级．而且将客户优先级量化为客户价值来表示,使该订单允诺管理机制更为有效．更有利于企业的长期可持续发展。     

Inventory model for an inventory system with time-varying demand rate

The standard inventory problems of the multi-period have been modeled under different situations. Specifically we have considered the demand subjects of a continuous distribution and a discrete distribution, and whether the demand of each period is unchanged or not. A method to get an economic order quantity in inventory systems with discrete and unchanged demand was presented in a previous paper, and this method has been generalized to an inventory model with varying continuous demand. However, it was not achieved due to there being many classified cases in the general situations. In this article the above method is discussed in the case discrete demand to determine whether it increases or decreases from period to period. A theoretical method is presented by using previous results and some examples are given which suggest how the concept can handle on inventory system. In order to make the decision, an algorithm is also presented under some conditions, and examples are shown by using the computer software program, Mathematica, which helps to explain the findings. In general cases, we view the optimal policy in the inventory problems in only a few periods.     

Might randomization in queue discipline be useful when waiting cost is a concave function of waiting time?

This paper suggests that introducing randomization in queue discipline might be welfare enhancing in certain queues for which the cost of waiting is a concave function of waiting time. Concavity can make increased variability in waiting times good not bad for aggregate customer welfare. Such concavity may occur if the costs of waiting asymptotically approach some maximum or if the customer incurs a fixed cost if there is any wait at all. As examples, cost might asymptotically approach a maximum for patients seeking organ transplants who will not live beyond a certain threshold time, and fixed costs could pertain for knowledge workers seeking a piece of information that is required to proceed with their current task, so any delay creates a “set up charge” associated with switching tasks.     

校企合作“订单式”培养模式的研究与实践

本文从高等职业教育人才培养目标的定位,提出了高职机电类专业"订单式"人才培养模式的内涵和基本原则;强调了"订单式"人才培养模式作为校企联合办学的具体实施形式。特别是结合上海电机学院高职学院在订单式培养中的探索,提出了职教"以市场为导向,以充分就业为目的"的"订单式"教育和教学组织模式。     

汽车工业供应物流要货参数模型研究

结合汽车工业供应物流的实际情况,将正常供货的服务能力及成本、应急供货服务能力及成本、缺货损失成本及不同供货事件的概率引入到供应物流总成本模型当中,充分揭示了供应物流日常运作决策中所要权衡的核心矛盾,反映了汽车供应物流运作的战略支持价值。在这个基础上,导出要货参数模型,如最佳供货间隔周期模型、最佳供货批量模型。针对影响最佳供货批量的主要因素进行了灵敏度分析,找到了供应物流优化的重点。     

损失模型的风险比较及其应用

在金融、经济和管理等领域经常需要比较不同的风险。相对于常用的VaR和TVaR等风险度量方法而言,基于随机序的风险比较更具全局性。本文首先在损失金额和损失次数模型下,讨论了基于止损序的风险比较问题;然后讨论了保费原理对风险序的保持情况;最后应用累积赔付额数据对本文的理论模型进行了实证检验。     

Position-Dependent order effects on the prediction of consumer preferences in repeated choice experiments

Using stated choice data collected by experimental design with repeated choice tasks, this study developed an approach to quantify the position-dependent order effects on the prediction of preferences and marginal willingness to pay for product attributes. Results showed that repeated choice tasks allow learning to occur. Models with order effect adjustments showed significant improvements in goodness of fit. Attribute-specific polynomial trends showed the best fit among all models, which could possibly be explained by respondents’ familiarity and sensitivity to different product attributes. Repeated-choice experiments have a good potential to capture consumer preferences more accurately than the single-choice design. But order effects need to be taken into account for preferences and market prediction.     

Financing preferences: evidence from the Korean market

We investigate the financing decisions of Korean firms during the period of 1996–2015. Korean firms follow a matching strategy for funding their cash needs. Cash inflows from investing activities are the primary source of funding for capital expenditures, and cash inflows from financing activities are the major means of covering cash outflows from financing activities. We also find that Korean firms’ financing practice of handling cash deficits can be described by the pecking order model modified and augmented by cash flow variables. Cash inflows from investing activities account for the major portion of financing to make up for cash deficits, followed by short- and long-term debt, and then equity financing.     

Predicting a flash crash in the yen/dollar foreign exchange market

I examine whether the volume-synchronized probability of informed trading (VPIN) can predict a flash crash in the yen/dollar foreign exchange market. The results show that VPIN using bulk volume classification predicted a recent event. However, VPIN using order flows, which are the amount of the ask-side transaction minus those of bid-side, does not.