Cointegration and control: Assessing the impact of events using time series data

Control groups can provide counterfactual evidence for assessing the impact of an event or policy change on a target variable. We argue that fitting a multivariate time series model offers potential gains over a direct comparison between the target and a weighted average of controls. More importantly, it highlights the assumptions underlying methods such as difference in differences and synthetic control, suggesting ways to test these assumptions. Gains from simple and transparent time series models are analysed using examples from the literature, including the California smoking law of 1989 and German reunification. We argue that selecting controls using a time series strategy is preferable to existing data‐driven regression methods.     

中医药文化融入高等中医药院校意识形态工作探究

当前抓紧加强和改进高校意识形态工作具有极端重要性和现实紧迫性.中医药文化之意蕴与高校意识形态教育目标、内容价值相通,更与高校意识形态工作理念、方法内在相契.通过将中医药文化有机融入意识形态工作,进一步加强宣传阵地、实践阵地建设,协同发力,有助于实现高等中医药院校意识形态工作创新发展.     

EMPIRICAL PERFORMANCE OF GARCH MODELS WITH HEAVY‐TAILED INNOVATIONS

We introduce a new type of heavy‐tailed distribution, the normal reciprocal inverse Gaussian distribution (NRIG), to the GARCH and Glosten‐Jagannathan‐Runkle (1993) GARCH models, and compare its empirical performance with two other popular types of heavy‐tailed distribution, the Student's t distribution and the normal inverse Gaussian distribution (NIG), using a variety of asset return series. Our results illustrate that there is no overwhelmingly dominant distribution in fitting the data under the GARCH framework, although the NRIG distribution performs slightly better than the other two types of distribution. For market indexes series, it is important to introduce both GJR‐terms and the NRIG distribution to improve the models’ performance, but it is ambiguous for individual stock prices series. Our results also show the GJR‐GARCH NRIG model has practical advantages in quantitative risk management. Finally, the convergence of numerical solutions in maximum‐likelihood estimation of GARCH and GJR‐GARCH models with the three types of heavy‐tailed distribution is investigated.     

人民币小面额现金供应需求管理量化研究

为实现人民币小面额现金科学、量化管理,推动货币发行业务转型发展,以满足市场对人民币各券别的需求,促进人民币投销平衡,以推动票面整洁度稳步提升为出发点,通过构建人民币小面额现金需求管理模型,量化分析并预测小面额现金需求量,为指导人民币现金投放回笼提供决策依据.     

服务营销:3G时代企业致胜的法宝

随着3G时代的到来,电信企业之间的竞争将更加激烈.电信企业要想在激烈的竞争环境中立足,拥有自己的市场,必须以服务营销为战略研究重点,建立以用户为中心的服务营销体制,建立包括企业利润、企业的成长性,用户忠诚、用户满意、提供给用户的产品与服务的价值,员工能力、满意、忠诚及效率在内的电信服务利润链.     

正视现状调整策略发展东盟贸易

中国—东盟贸易自由区将是“全球第三大市场”。随着双边贸易谈判进行，东盟贸易对中国经济影响越来越大。同时，东盟贸易也给中国企业带来无限商机。为此，我们应该积极进行应对，调整我们的策略，尽量在东盟贸易中赢得市场。