Does the price of oil interact with clean energy prices in the stock market?

In this paper, we analyze the relationships among oil prices, clean energy stock prices, and technology stock prices, endogenously controlling for structural changes in the market. To this end, we apply Markov-switching vector autoregressive models to the economic system consisting of oil prices, clean energy and technology stock prices, and interest rates. The results indicate that there was a structural change in late 2007, a period in which there was a significant increase in the price of oil. In contrast to the previous studies, we find a positive relationship between oil prices and clean energy prices after structural breaks. There also appears to be a similarity in terms of the market response to both clean energy stock prices and technology stock prices.     

Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets

The major objectives of this study are twofold. The first objective is to examine the dynamic volatility and volatility transmission in a multivariate setting using the VAR(1)–GARCH(1,1) model for three major sectors, namely, Service, Banking and Industrial/or Insurance, in four Gulf Cooperation Council (GCC)’s economies (Kuwait, Qatar, Saudi Arabia and UAE). The second is to use the models’ results to compute and analyze the optimal weights and hedge ratios for two-sector portfolio holdings, comprised of the three sectors for each country. The results suggest that past own volatilities matter more than past shocks and there are moderate volatility spillovers between the sectors within the individual countries, with the exception of Qatar. Moreover, the values for ratios of hedging long positions with short positions in the GCC sectors are smaller than those for the US equity sectors. The optimal portfolio weights favor the Banking/financial sector for Qatar, Saudi Arabia and UAE and the Industrial sector for Kuwait.     

委托—代理投资与金融危机的形成

回顾 2 0世纪 80年代以来发生的主要金融危机 ,作者认为委托—代理投资及其引发的道德风险是导致资产泡沫形成、膨胀和破灭并最终引发金融危机的重要原因 ,最后给出相关结论。     

Pacific Rim Stock Market Integration Under Different Federal Funds Rate Regimes

This study uses Sims-type vector autoregression technique to examine the stock markets integration among the US and four major Asian-Pacific stock exchanges during 1993 and 1994. The two different sample periods capture the change in US monetary policy in 1994. Empirical results show that when the US was targeting the federal funds rate in 1994, the variations in US stock returns much better explain the variations of stock returns in Hong Kong, Singapore and Australia.     

我国服务贸易国际竞争力实证分析

本文运用TC指数、RCA指数、贸易结构和国际市场占有率对我国服务贸易国际竞争力进行了分析,通过分析表明我国服务贸易出口主要以资源和劳动密集型服务为主,对外服务贸易就整体而言国际竞争力还比较弱,并提出了加快提高我国服务贸易竞争力的对策。     

广义货币供应量M_2作为货币政策中介目标对产出的效应分析——基于1992～2005年季度数据的实证分析

运用计量经济学方法对广义货币供应量M2与GDP的时间序列变量进行ADF检验,格兰杰因果检验,然后建立VAR模型和脉冲响应函数(IRF),分析以M2作为货币政策的中介目标对产出GDP的效应,最后对以M2作为中介目标的合理性进行评价和分析,并提出加强M2作为货币政策中介目标对产出更为有效的相关建议。     

Monetary policy, foreign exchange intervention, and the exchange rate in a unifying framework

The structural VAR model is developed to jointly analyze the effects of foreign exchange intervention and (money or interest rate setting) conventional monetary policy on the exchange rate, the two types of policy reactions to the exchange rate, and interactions between the two types of policies. First, many interactions among the two types of policies and the exchange rate are found, which suggests that a joint analysis is important. Second, foreign exchange intervention has substantial effects on the exchange rate, reacts to the exchange rate significantly (to stabilize the exchange rate), and signals future conventional monetary policy stance changes (to back up the intervention). This suggests the importance of modeling foreign exchange intervention explicitly in the study of monetary policy and exchange rate behaviors. Many other interesting results on the interactions among the two types of policies and the exchange rate are also documented.     

外贸冲击对工业行业增长传导效应研究——基于行业用电量的VAR分析

当前,贸易冲击依然是中国宏观经济波动的重要来源。利用全国工业分行业用电量,基于向量自回归模型,分析了进出口贸易冲击对各行业的影响。研究发现,贸易冲击只对一般工业行业产生显著性影响;劳动密集型行业对外贸冲击的响应快于重工业;出口冲击对行业普遍产生正向影响,进口冲击会先产生负向、后出现正向影响;出口冲击的传导效应主要从上游到下游、进口冲击的传导效应主要从下游到上游。     

财政分权、房价与城乡收入差距--基于中国省际面板数据的实证分析

基于1999－2012年31个省际面板数据,采用面板向量自回归模型,实证考察了财政分权、房价和城乡收入差距三者之间的相互关系。研究结果表明：财政分权对房价的上涨和城乡收入差距的扩大均具有促进作用,且对两者的影响具有区域差异,具体表现为：财政分权对东部地区房价上涨的影响要大于对中西部地区的影响,财政分权对城乡收入差距扩大的影响由东部地区向西部地区依次递减;房价和城乡收入差距之间的相互影响具有区域差异性。     

商业企业决策支持系统分析和设计

一个完善的商业企业决策支持系统不仅要能够将经营者从繁杂的商业信息整理分析中解脱出来 ,同时也要更准确有效的为其经营管理决策提供全面、科学的支持。从商业企业经营活动特有的商品流通进销存三个环节着眼 ,为构建商业企业决策支持系统提供了一种可行的解决方法。