“Make me feel special”: Are hierarchical loyalty programs a panacea for all brands? The role of brand concept

Despite extant literature, the most effective structure of loyalty programs is still heavily questioned among researchers. Building on the congruence principle, we examine the moderating role of brand concept. Our findings reveal that for symbolic brand concepts, customers perceive hierarchical loyalty program structures (which classify customers into tiers according to spending levels or other purchase activities) to be more congruent; this perception increases firm loyalty intentions. However, for functional brand concepts, customers perceive hierarchical and linear loyalty programs structures as equally congruent. Also for symbolic brand concepts, program structure appears as the most important feature in ensuring perceived congruence between a program and a brand, ahead of program benefits. These findings have important theoretical and managerial implications.     

基于VAR模型对投资、就业与经济增长的实证研究

本文选用中国1978～2007年30年的数据,基于VAR模型运用Granger因果关系检验、脉冲响应分析、方差分解等方法分析投资、就业与经济增长三者之间的关系。实证结果表明:经济增长既是就业的格兰杰原因,也是投资的格兰杰原因;投资是就业的格兰杰原因;就业和经济增长均不是投资的格兰杰原因。投资可以促进就业和经济增长,经济增长也可以促进就业。     

公司债务期限结构影响因素的实证分析

本文以上市公司板面数据及横截面数据为基础,利用混合时间序列回归、横截面回归和固定效果回归等方法,对影响我国上市公司债务期限结构的因素进行了实证检验。结果发现,除契约成本假说中成长机会外,绝大部分因素的检验结果与预期一致,进而验证了其适用性;经验证据不支持信息不对称假说;对税负假说相关因素的检验结果表现出不确定性;期限匹配假说得到了支持。研究还证明,具有较少自由现金流量、杠杆水平较高、规模大、受到管制和资产期限长的公司具有更多的长期债务。     

Optimal bank asset and liability management with financial futures

This paper presents a model for optimal bank asset and liability management with financial futures. This model is a multiperiod linear programming model based on Markowitz portfolio theory. Given the bank's initial position, its economic forecasts, and the constraints under which it operates, the model can help a bank's senior executives determine the current and expected future balance sheet composition and financial futures position which will minimize the bank's operating risks and which will meet the bank's expected profits goal with the minimum possible profits risk. By parametrically varying the expected profits goal, the model will generate the set of risk-return efficient decisions. Bankers need then examine only the set of efficient decisions to choose their optimal solution. A simplified example is used to illustrate the application of our model and to demonstrate that banks that use financial futures in asset and liability management can obtain better results than banks that do not use financial futures.     

银行间债券市场7天回购利率影响因素的实证分析

我国银行间债券市场7天回购交易品种成交量大、交易活跃、参与机构多，其回购利率R07D也成为货币市场短期利率的重要基准。本文从资金面和政策面两个角度出发选取了若干R07D利率的影响因素，对从2001年1月至2006年6月的数据，运用协整、格兰杰因果检验、回归等计量方法进行实证分析，结果显示：央行票据发行利率、超额准备金利率、M2同比增长率、商业银行存贷比与R07D利率存在着长期的协整关系，是R07D利率变动的原因。     

How should we estimate value-relevance models? Insights from European data

We study the consequences of unobserved heterogeneity when employing different econometric methods in the estimation of two major value-relevance models: the Price Regression Model (PRM) and the Return Regression Model (RRM). Leveraging a large panel data set of European listed companies, we first demonstrate that robust Hausman tests and Breusch-Pagan Lagrange Multiplier tests are of fundamental importance to choose correctly among a fixed-effects model, a random-effects model, or a pooled OLS model. Second, we provide evidence that replacing firm fixed-effects with country and industry fixed-effects can lead to large differences in the magnitude of the key coefficients, with serious consequences for the interpretation of the effect of changes in earnings and book values per share on firm value. Finally, we offer recommendations to applied researchers aiming to improve the robustness of their econometric strategy.     

资本管制能否抑制资本外逃--关于中国的案例分析

关于资本管制抑制资本外逃的有效性问题,国内外学者曾采用多种计量模型进行过深入的分析,但没有得出统一的结论.运用经济计量分析中最新的协整分析方法--边界检验(Bounds Testing)和自回归分布滞后模型(Autoregressive Distributed Lag Model,ARDL)对中国从1980～2003年的资本外逃状况进行分析的结果表明,无论是从短期还是从长期来看,资本管制对我国的资本外逃都有显著的抑制作用.     

区域耕地数量变化预测方法的对比研究

研究目的:对区域耕地数量变化预测方法进行对比分析,科学合理确定区域耕地数量。研究方法:通过Pearson相关分析法筛选影响耕地变化的关键因子,利用改进的BP神经网络算法、灰色模型和多元线性回归模型法对费县耕地数量变化进行预测。研究结果:改进的BP神经网络算法相对传统的灰色模型和多元线性回归模型等预测方法具备较高的预测精度。研究结论:改进的BP神经网络算法是进行耕地数量变化预测的较好方法,具有实际指导意义,其预测结果可以为当地相关部门合理地确定耕地保有量、推进耕地保护提供科学依据。     

我国标准化与价格贸易条件的实证研究

价格贸易条件是衡量贸易利益变动的重要指标,标准作为国际贸易中越来越重要的因素之一,必将对其产生重要的影响。本文以1990-2007年我国的的数据为基础,进行实证分析,结果表明:在长期中,标准是改善价格贸易条件的重要因素。