Optimal Contracts for Central Bankers: Inflation versus Money Supply and Exchange Rate Targets

Some recent papers have shown how a simple contract can eliminate the inflationary bias of discretionary monetary policy. This paper shows that if the central banker is risk averse, a contract in terms of money is superior to one in terms of inflation. The paper also shows that, if the central banker cares about his reappointment, an exchange rate target might always leads to the implementation of the optimal policy.     

A dynamic approach to the analysis of strategic alliances

The increasing trend in strategic alliance formation between major firms around the world, has prompted researchers from various disciplines to look at this phenomenon in great detail. In this paper, we review alternate approaches in the literature in this area. We then propose a non-linear dynamic approach to study the formation of competitive strategic alliances and contrast it with the traditional game-theoretic approach. The pros and cons of these two approaches are discussed with reference to a competitive alliance scenario. Dynamic models have significant managerial implications as they enable us to investigate ‘if-then’ type scenarios and project the impact of different strategies.     

物流配送实时监管系统设计

随着近年流通领域的发展,尤其是电子商务对现代物流的要求,物流配送需要现代化的信息技术已越来越成为人们的共识,如何对物流配送系统和配送中心进行现代化建设,已成为不少物流配送公司的重要课题。针对目前物流配送中“不可见部分”和过程无法控制的现状,论文设计了一个物流配送实时监管系统来满足物流配送企业和客户的需求。     

物流速度与物流时间管理

根据目前中国国内物流的现状，提出耍改善物流行业的整体状况，必然需要加快物流速度，减少物流时间以节省物流成本。文章引入物流速度与物流时间管理的概念，并由此提出了一些具体的物流时间管理方法。     

Forecasting economic time series with unconditional time-varying variance

The classical forecasting theory of stationary time series exploits the second-order structure (variance, autocovariance, and spectral density) of an observed process in order to construct some prediction intervals. However, some economic time series show a time-varying unconditional second-order structure. This article focuses on a simple and meaningful model allowing this nonstationary behaviour. We show that this model satisfactorily explains the nonstationary behaviour of several economic data sets, among which are the U.S. stock returns and exchange rates. The question of how to forecast these processes is addressed and evaluated on the data sets.     

供应链信息流研究综述

通过对供应链信息流相关文献分析,从信息流运作对供应链整个响应时间压缩的影响、信息流的研究内容和研究方法三个方面,对该领域研究进行分析总结,并就进一步研究提出展望。     

货币政策和银行风险承担：一种非线性关系

宽松的货币政策会通过估值、收入和现金流机制,追逐收益机制以及中央银行沟通和反应机制等渠道增加银行风险承担,通过风险转移机制降低银行风险承担,从而导致货币政策与银行风险承担之间可能存在复杂的非线性关系。本文使用面板阈值模型,基于我国银行业数据研究了货币政策对银行风险承担的影响,发现我国货币政策对银行风险承担的影响存在门限效应,即货币政策对银行风险承担的影响取决于货币政策基准利率偏离泰勒规则利率的程度。当这种偏离小于门限值时,宽松货币政策会增加银行风险承担;当这种偏离大于门限值时,宽松货币政策会降低银行风险承担。本文研究对更好地理解我国货币政策对银行风险承担及金融稳定的影响有一定参考意义。     

煤炭资源型城市聚集经济与城市化水平研究

运用可变权系数综合评价模型对2002年中国煤炭资源型城市城市化水平进行测度;基于1999～2002年度煤炭城市面板数据,应用随机效应模型估计煤炭城市聚集经济水平;结果表明,我国煤炭城市城市空间经济结构效率和其城市化水平并不具有正相关性,许多城市化水平相对较高的煤炭城市的聚集经济较差,并没有显示出城市化经济的优势.     

基于面向对象编程的串行通信技术的实现

主要介绍了如何利用Visual basic和Vc 在不同环境下实现对串口的控制，并分析了window环境下的常用串行通信编程方法。     

城市货运发展统计数据分析与建模

21世纪的物流在上海的经济活动中扮演着重要的角色,货运在城市交通中所占的比重日益增 加,如何科学地预测货运总量的发展趋势,对上海城市交通规划有着重要的意义。本文采用基于时间序列的 ARIMA模型,构建了上海货运总量发展模型,并对上海中短期的货运发展情况进行预测。