Determinants of consumers’ aesthetic responses to Point‐of‐Purchase materials

The four‐dimensional nature of the Kaplans’ model of aesthetic response to images was tested on Point‐of‐Purchase (POP) material. It was found that only two robust dimensions emerged in the analysis, Clarity and Mystery. These however, had a significant influence on the subjects’ rating of the POP’s attractiveness. Path analysis suggested each of these dimensions was independent of the other. The implications of the findings are discussed and possible future areas of research identified.     

调性感与音程感的有机结合

具有明确调性扩展意识的音乐作品（简称为“调性扩展类作品”）可以说是现代音乐试图走出调性音乐的第一步.它在音准的把握上有别于传统的调性音乐,但与其又有着千丝万缕的联系.该类作品中仍有明确的调号和较为鲜明的调性音,但如何在视唱时处理好作品中出现的音准问题,则应从分析调性感与音程感之关系入手.     

商业银行核心竞争力的三维评价研究

研究商业银行的核心竞争力评价问题对繁荣我国的金融市场具有重要意义。首先构建了评价商业银行核心竞争力的指标体系，采用系统的思想提出了一种分析核心竞争力的三维评价模型，并给出了综合评价核心竞争力的最优点法。在此基础上深入讨论了该模型的投影操作。     

建设工程预算准确性综合评价

在项目前期，准确的建设工程预算是投资者据以作出正确决策的基础。本文分析了造成建设工程预算偏差的因素，建立了预算准确性综合评价指标体系，并对工程预算的准确性进行了评估和分析。     

A note on forecasting international tourism demand in Spain

This paper considers the extent to which price and income proxy variables help in forecasting tourist demand in Spain. Contrary to some recent studies, we found that the inputs' contribution in terms of fitting and forecasting is nil when compared with alternative univariate models. Whether these findings are the results of the restrictions embedded in building the proxy inputs or in a poor specification of the dynamics of these models remains to be seen. We also contend that when dealing with medium, long-term forecasting comparisons, the use of the traditional aggregate accuracy measures like RMSE and MAPE help very little in discriminating among competing models. In these situations, predicted annual growth rates may be a better alternative.     

基于云计算与物联网技术的数据挖掘

在科学技术快速发展的今天,信息通信行业已经与我们的日常生活完全融为一体,并且推动了整个社会的发展,所以在科学技术快速进步的过程中,信息通信相关技术也在不断发展,其中,基于云计算的物联网发展越来越受到人们的重视。论文对基于云计算的物联网数据挖掘模式进行分析及探讨,从而为互联网数据挖掘技术发展提供相应的参考。     

云数据中心网络虚拟化技术的实现路径

当今社会,随着科学技术的迅猛发展,信息技术实现了持续快速发展。在大环境的影响下,云计算与网络虚拟化技术应运而生。该技术的产生和发展促使云数据中心网络的变革与发展成为新一轮技术革命的核心内容之一。当前,IT行业对数据中心网络的需求越来越大。基于此,论文论述了云数据中心网络虚拟化技术的实现路径。     

A large factor model for forecasting macroeconomic variables in South Africa

This paper uses large Factor Models (FMs), which accommodate a large cross-section of macroeconomic time series for forecasting the per capita growth rate, inflation, and the nominal short-term interest rate for the South African economy. The FMs used in this study contain 267 quarterly series observed over the period 1980Q1-2006Q4. The results, based on the RMSEs of one- to four-quarter-ahead out-of-sample forecasts from 2001Q1 to 2006Q4, indicate that the FMs tend to outperform alternative models such as an unrestricted VAR, Bayesian VARs (BVARs) and a typical New Keynesian Dynamic Stochastic General Equilibrium (NKDSGE) model in forecasting the three variables under consideration, hence indicating the blessings of dimensionality.     

The coverage assignments of financial analysts

Previous studies document that forecast accuracy impacts analyst career outcomes. This paper investigates the influence of forecast accuracy on coverage assignments. I show that brokerage houses reward accurate analysts by assigning them to high-profile firms and penalise analysts exhibiting poor accuracy by assigning them to smaller firms. The coverage of high-profile firms increases the potential for future compensation linked to investment banking and trading commissions. In addition, covering such firms increases analysts' recognition from buy-side investors, which, in turn, increases the likelihood of obtaining broker votes and votes for the Institutional Investor star ranking. Overall, my results indicate that high forecast accuracy leads to increased future compensation.     

什么影响了证券分析师盈利预测的准确度?——来自中国上市公司的经验证据

证券分析师的盈利预测在我国资本市场中扮演着越来越重要的角色。本文以2004～2006年被分析师预测的A股上市公司为样本,在控制盈余特征、公司规模及性质、行业和年度等因素的基础上,实证检验了机构持股比例和盈余管理动机对证券分析师盈利预测准确度的影响。研究结果显示:被分析公司机构持股比例的提高,将带来盈利预测准确度的提高;而当公司存在巨亏或微利的盈余管理动机时,分析师预测的难度增加,预测准确度降低。此外,分析师关注度及盈余特征对盈利预测也会产生影响。对公司进行跟踪的分析师越多,盈利预测的准确性越高,当公司发生亏损或收益下滑时,盈利预测准确性较差。