投资者情绪影响香港股票市场吗?

本文选取香港股票市场的封闭式基金折价率,initial public offering(IPO)首日收益率,IPO数量,市场成交量和换手率等五个原始情绪指标,利用主成分分析法构造了综合投资者情绪指数,然后应用autoregressive moving average-generalized autoregressive conditional heteroskedasticity(ARMA-GARCH)族模型分别剔除了综合投资者情绪指数与香港恒生指数中的趋势因素和季节因素等外在影响,对ARMA-GARCH模型的残差作相关性分析和Granger因果关系检验.研究表明,ARMA-GARCH族模型能有效处理投资者情绪指数和香港恒生指数的自相关性和异方差性.Granger因果检验发现在短期内恒生指数收益率是投资者情绪的Granger原因,即当香港股市处于上升阶段时,投资者情绪会更加乐观,而当股市处于下降阶段时,投资者情绪则会变的更加悲观.     

中国货币供给内生性或外生性问题的实证

研究货币理论中关于货币供给的内生性或外生性问题．在向量自回归模型基础上，通过格兰杰因果检验对我国货币供给的内生性或外生性作了实证检验．结果表明，我国的货币供给具有较强的内生性质，这意味着以货币供给为操作目标的货币政策对经济的调节作用有很大局限性．因此，货币当局应采取有效措施，切实解决货币供给的内生性问题．     

Causally productive activities

This paper suggests and discusses an answer to the following question: What distinguishes causal from non-causal or coincidental co-occurrences? The answer derives from Elizabeth Anscombe’s idea that causality is a highly abstract concept whose meaning derives from our understanding of specific causally productive activities (e.g., pulling, scraping, burning), and from her rejection of the assumption that causality can be informatively understood in terms of actual or counterfactual regularities.     

Testing for Granger (non‐)causality in a time‐varying coefficient VAR model

In this paper we propose Granger (non‐)causality tests based on a VAR model allowing for time‐varying coefficients. The functional form of the time‐varying coefficients is a logistic smooth transition autoregressive (LSTAR) model using time as the transition variable. The model allows for testing Granger non‐causality when the VAR is subject to a smooth break in the coefficients of the Granger causal variables. The proposed test then is applied to the money–output relationship using quarterly US data for the period 1952:2–2002:4. We find that causality from money to output becomes stronger after 1978:4 and the model is shown to have a good out‐of‐sample forecasting performance for output relative to a linear VAR model. Copyright © 2008 John Wiley & Sons, Ltd.     

中美贸易和美国对华直接投资--基于1984-2002年数据的实证分析

通过利用1984—2002年的数据,使用协整分析和格兰杰因果关系检验法对中美贸易和美对华投资的关系进行了检验。结果表明,两者之间有着长期稳定的关系。     

福建省进出口和GDP关系的实证分析

根据协整理论方法,利用福建省1981～2002年的年度经济数据,对福建省进出口和GDP的关系进行实证分析．实证结果表明,福建省进出口和GDP的3个因素中,进口与GDP是出口增长的Granger原因,出口与GDP是进口增长的Granger原因．在出口增长与进口增长之间,存在双向因果关系。     

反倾销中的吸收判定及吸收幅度计算方法

借鉴欧盟反吸收立法制度及实践经验,采用差异比较分析和格兰杰因果检验等相关计量统计工具,提出了对反倾销中的吸收行为及产品正常价格变动进行定量判定的方法.研究结果为反吸收立法提供了理论依据,使反吸收调查过程更具科学性和公平性,同时为企业积极应对欧盟反吸收调查提供了参考.     

Intensions, belief and science: Kuhn’s early philosophical outlook (1940-1945)

Between 1940 and 1945, while still a student of theoretical physics and without any contact with the history of science, Thomas S. Kuhn developed a general outline of a theory of the role of belief in science. This theory was well rooted in the philosophical tradition of Emerson Hall, Harvard, and particularly in H. M. Sheffer’s and C. I. Lewis’s logico-philosophical works—Kuhn was, actually, a graduate student of the former in 1945. In this paper I reconstruct the development of that general outline after Kuhn’s first years at Harvard. I examine his works on moral and aesthetic issues—where he displayed an already ‘anti-Whig’ stance concerning historiography—as well as his first ‘Humean’ approach to science and realism, where his earliest concern with belief is evident. Then I scrutinise his graduate work to show how his first account of the role of belief was developed. The main aim of this paper is to show that the history of science illustrated for Kuhn the epistemic role and effects of belief he had already been theorising about since around 1941.     

香港国企H股与沪深股市股指收益率波动特征及其关系研究

选取香港国企H股指数、上证指数和深圳综指2003年2月26日至2006年5月12日的股票日收盘指数作为样本,运用TARCH模型研究收益率波动的特征.结果表明:三市指数收益率均存在信息不对称效应,但沪、深股市比香港国企H股波动剧烈.运用Johansen多变量协整关系检验及Granger因果关系检验.结果发现,它们之间存在着长期稳定的协整关系.香港国企H股与内地股市关系密切,香港国企H股的变动会对沪、深股市产生影响,而沪、深股市的变动不会对香港国企H股产生影响,同时上海股市的变动也会对深圳股市产生影响,但深圳股市的变动对上海股市影响不大.     

Standards of evidence and causality in regulatory science: Risk and benefit assessment

In this paper we analyze the Russo-Williamson Thesis (RWT) as a standard of evidence in regulatory science, in risk as well as benefit assessment. In our analysis we take account of the recent controversies that have taken place in regulation with respect to the evidentiary requirements necessary for regulatory decision making. RWT's main point is that not only probabilistic but also mechanistic evidence is necessary for being able to infer the existence of causal links. We ask in which way RWT could have an impact upon current decision making about subjecting to regulation (or, to the contrary, leaving them unregulated) certain chemical substances, food stuffs, health claims, and other typical objects of regulation. We show that the application of RWT resolves some of the problems posed by current standards of evidence. RWT makes it possible to determine with higher accuracy if a particular substance should be subjected to regulation or not, even though under certain circumstances RWT itself may turn into a source of regulatory error. The adequacy of RWT as a standard of evidence depends on the precise manner of its application to regulation (particularly the consideration of mechanistic evidence as a complementary or necessary requirement), as well as the assessment of its non-epistemic consequences.