What Drives Stock Prices? Identifying the Determinants of Stock Price Movements

In this paper, we show that the data have difficulty distinguishing a stock price decomposition in which expectations of future real dividend growth is a primary determinant of stock price movements from one in which expectations of future excess returns are a primary determinant. The data cannot distinguish between these very different decompositions because movements in the price-dividend ratio are very persistent whereas neither real dividend growth nor excess returns are; most of the information about low-frequency movements in dividend growth and excess returns is contained in stock prices and not the series themselves. We further show that this inability to identify the source of stock price movements is not solely due to poor power and size properties of our statistical procedure, nor does it appear to be due to the presence of a rational bubble.     

国际原油价格冲击对我国经济的影响——基于结构VAR模型的经验分析

本文基于2003年1月～2009年2月的月度数据,采用SVAR模型分析了国际原油价格波动对我国经济所产生的影响。结果表明,国际油价波动对我国经济具有重要影响,并且具有很强的持续性。国际原油价格冲击对我国产出增长不仅具有直接的消极影响,而且还通过加大了国内通胀压力、促使紧缩性货币政策的实施和人民币汇率波动间接影响产出的增长,但这种间接效应相对较低。     

国际化经营、机构投资者与股价同步性

文章研究了中国上市公司的国际化经营对股价同步性的影响,以及机构投资者在二者关系中所起的作用。结果发现,相对于非国际化经营公司而言,国际化经营公司的股价同步性较高;而国际化经营程度越高,股价同步性越低,且二者的反向关系会随着机构投资者持股比例的增加而增强。结论表明,上市公司提供的信息量、投资者获取信息的成本、投资者的理性程度及结构等因素都会影响投资者识别和区分特质信息和噪音的能力,进而影响股价同步性。     

人民币汇率波动对股票价格报酬影响的实证研究

文章基于我国2005年7月-2010年2月的时间序列数据,采用单位根检验、协整检验、格兰杰因果检验以及VAR模型,对人民币汇率波动与股票价格报酬间关系进行了实证研究,结果发现：人民币汇率、利率、CPI和股票价格报酬之间存在长期的协整关系,且人民币汇率对股票价格报酬有正的影响效应,CPI对股票价格报酬也有一定的正向影响,而利率对股票价格报酬有负向影响效果。     

Accounting Quality,Stock Price Delay,and Future Stock Returns*

In frictionless capital markets with complete information and rational investors, stock prices adjust to new information instantaneously and completely. However, a substantial body of research studies information imperfections such as asymmetric information and incomplete information. Information imperfections potentially hinder timely price discovery and are likely associated with delayed stock price adjustment to information. Our first research question therefore is whether the quality of accounting information (or “accounting quality”) is one such information imperfection that is associated with cross‐sectional variation in stock price delay. We define accounting quality as the precision with which financial reports convey information to equity investors about the firm’s expected cash flows. Poor accounting quality is likely associated with higher expected returns through uncertainty about stock valuation parameters and incomplete information. Our second research question therefore is whether the accounting quality component of price delay is associated with higher future stock returns. Consistent with our hypotheses, the results show that poor accounting quality is associated with delayed price adjustment and higher future stock returns. Thus, accounting quality plays a role in timely stock price discovery.     

人民币汇率波动对股票价格影响的实证研究

文章基于我国2005年7月-2010年2月的时间序列数据，采用单位根检验、协整检验、格兰杰因果检验以及VAR模型，对人民币汇率波动与股票价格间关系进行了实证研究，结果发现：人民币汇率、利率、CPI和股票价格之间存在长期的协整关系，且人民币汇率对股票价格有正的影响效应，CPI对股票价格也有一定的正向影响，而利率对股票价格有负向影响效果。     

上海原油期货与国际原油期货:联动机制和溢出效应

建立VECM—GARCH—BEKK—T模型,分析了上海原油期货价格与WTI、布伦特两大国际基准油价格之间的传导效应、均值溢出效应、波动溢出效应、BEKK交叉效应以及杠杆效应。研究发现,上海、WTI和布伦特原油期货三个市场存在显著的均值溢出和波动溢出效应。其中,上海原油期货上市重构了WTI和布伦特原油期货两个市场的均衡关系、主导影响因素、影响期限以及波动溢出效应;上海原油期货与国际油价有机联动,对WTI的正向影响要大于对布伦特的影响,但WTI、布伦特对上海的影响依然占主导地位。此外,短期内,当期上海原油期货价格与历史WTI和上海原油期货价格波动联系显著为正,而与历史布伦特原油期货价格则显著为负。因此,需要在持续提高上海原油期货参与者数量、提高国际参与度和认可度、完善原油期货区间波段管理机制、提升原油期货交易量、加快人民币国际化进程等方面努力。     

石油价格波动对我国经济的影响

石油作为一种重要能源和资源,广泛应用于各行各业,被誉为经济乃至整个社会的"黑色黄金"、"经济血液"。1973年石油期货出现以前,国际石油价格一直在每桶3美元左右。30多年来国际石油价格一路攀升,2006年7月甚至达到了每桶78美元的"天价"。石油价格的剧烈波动改变着世界政治经济格局,尤其对世界经济的影响日益显著。我国作为当今世界经济发展的重要一员,与世界经济的关联程度日益增强。随着我国经济的快速发展,对石油的需求目益增加,石油的对外依存度不断提高,这就不可避免地受到国际石油价格上涨的影响。因此,认真分析国际石油价格上涨对世界经济和中国经济的影响,提出我国具体的应对措施,对我国经济社会发展和国家安全具有深远的意义。     

大小非解禁和股价波动关系的实证分析

本文基于2007年1月至2011年3月的月度时间序列样本,构建了经典的多元回归模型,对"大小非"解禁与股价走势之间的关系进行了分阶段实证研究。计量结果表明,国内国际经济形势、货币政策以及预期等因素才是影响我国股价走势变化的最主要因素,而"大小非"解禁对股价走势的影响程度则要受到我国股市所处行情阶段的限制。     

基于藤Copula的中外原油市场联动性研究

利用规则藤Copula模型对北大西洋布伦特原油(Brent)、西德克萨斯轻质原油(WTI)、迪拜(Dubai)、米纳斯(mns)、辛塔(xt)、大庆(dq)共6个原油市场进行建模，将6个地区原油市场间的联动性纳入一个模型之中，探讨金融危机前后我国与其他5个国际原油市场间的相依结构的变化。结果表明，金融危机的发生加深了国内外原油市场间的联动性；大庆作为藤结构第一棵树的根节点，与其他5个原油市场的联系最为紧密且均存在正向联动性，其中与米纳斯和辛塔的联动性最显著；北大西洋布伦特原油比美国西德克萨斯轻质原油对我国原油价格的影响更大。     

ARCH versus information-based variances: evidence from the Tokyo Stock Market

By using both the individual stock prices quoted on the Tokyo Stock Exchange and their price index (TOPIX), this paper examines whether the conditional variance of stock returns is characterized by the auto-regressive-conditional-heteroskedasticity (ARCH) effect or the information-based effect. The paper finds that the inclusion of the trading volume in both generalized ARCH (GARCH) and exponential GARCH (EGARCH) specifications eliminates the ARCH effect for individual stocks and the TOPIX. The paper explains the reasons for these results. The findings suggest strong support for the information-based variance model which gives a parallel explanation to the ARCH-type models.     

后金融危机时期中国股市的国际地位——基于非线性视角的股市联动网络分析

后金融危机时期全球股市一体化程度不断提高,全面认识中国股市的国际地位对于揭示国际股市一体化联动中的传导机制,防范和应对国际金融风险冲击具有重要的理论意义和现实价值。文章应用非线性格兰杰因果检验方法和社会网络分析方法,对金砖国家和七国集团股市收益率和波动率的联动关系及其联动网络结构进行分析,揭示出中国在国际股市联动中的地位对传导关系的控制方式,定量分析出事件冲击下中国股市与国际股市之间的交互影响。研究发现：（1）国际股市收益率和波动率联动网络呈现出稳定的非线性联动关系网络结构,受其影响各国股市收益之间存在互惠性,而波动之间则存在传染性;（2）在收益率联动网络中,中国股市的作用和地位已与英国相当,远高于其他金砖国家,正逐渐由"从属地位"转向"中心地位";（3）在波动率联动网络中,中国股市是造成国际股市风险交叉影响的重要"桥梁"。综上而言,当前中国股市表现出"高风险低收益"的市场特征;（4）中国对国际股市的影响具有典型的"地缘特征",将网络中心国家股市的利好传递给地缘临近国家股市;（5）波动率联动网络中初始冲击强度较大的国家,往往是对中国股市持续大规模产生冲击的国家;（6）相比较国际股市调整波动冲击的时间而言,中国股市调整时间较短,这表明后金融危机时代中国致力于股市的一系列改革举措取得了显著成效。     

Mean‐reverting and Asymmetric Volatility Switching Properties of Stock Price Index,Exchange Rate and Foreign Capital in Taiwan*

The main purpose of the present study is to explore the relationships among stock price index, exchange rate and foreign capital in Taiwan and to detect whether the mean‐reverting and asymmetric volatility switching properties exist in these markets. The multivariate asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedastic in mean model is used in this study. The empirical results indicate that overbuy and oversell rates of foreign capital influence the movements of the stock price index and the exchange rate. All three conditional means exhibit asymmetric mean‐reverting behavior, with negative returns reverting quicker than positive returns in terms of both speed and magnitude. The empirical results also demonstrate that the conditional heteroskedasticities of these markets are asymmetric, generating different volatility persistence under a prior positive and negative return shock.     

股票回报率截面离差包含的信息

本文通过实证研究发现，股票回报率的截面离差包含单只股票和组合回报率未来波动的增量信息。而对非预期离差而言，当后期出现高的非预期离差时，伴随的回报率具有惯性，当后期出现低的非预期离差时，伴随的回报率呈现反转现象，这种结论无论对单个公司还是按平均市值分类的组合都是成立的。这些结论对事件研究、期权定价等需要预测价格波动的研究及更好理解价格信息都是有用的，特别在中国股市能更好理解庄家的动机。     

国际大宗商品期货价格与中国CPI的相关性实证研究

美国次债危机以来大宗初级商品价格持续大幅波动,引发了关于我国大宗初级商品价格上涨是否是导致我国通货膨胀原因的讨论。本文对铜、原油、大豆和糖具有国际代表性的大宗商品价格与我国居民消费价格指数(CPI)进行实证分析,利用协整分析、格兰杰因果检验、脉冲响应函数等计量方法研究了我国大宗初级商品价格变化对CPI的影响。     

Renminbi exchange rate exposure: evidence from Chinese industries

This paper investigates sensitivity of stock returns of industry-sorted Chinese firms with respect to renminbi exchange rate movements. Strong evidence of significant exposure is documented for 7 out of 16 Chinese industries. Evidence is also found of the size asymmetry effects. In addition, we explore the characteristics of the exposure, and detect evidence of significant exposure among non-exporters in some of the industries. Special attention is given to examining the time-varying exposure under the impact of the new Chinese exchange rate regime in place since 2005, in which even stronger exchange rate exposure is reported. The conditional exposure estimated in this paper also reveals the close relation between stock returns and changes of the renminbi exchange rate.     

The Interactions of Stock Prices and Exchange Rates in the ASEAN-5 Countries: New Evidence Using a Bootstrap Panel Granger Causality Approach

Abstract

Using a data-set from the ASEAN-5 countries over the January 2000–August 2013 period, this paper revisits the Granger causal nexus between the equity and foreign exchange markets by employing the bootstrap panel Granger causality approach developed by Kònya, which allows for both cross-sectional dependency and heterogeneity across countries. The results indicate a unidirectional causality from stock prices to exchange rates in Malaysia, the Philippines and Thailand and from exchange rates to stock prices in Indonesia. These findings have important implications for policy-makers and institutional investors who should rigidly monitor the dynamic linkages between stock price and exchange rate movements across the ASEAN-5 financial markets when making policy decisions and investing in these countries.     

油价波动对新疆相关行业的影响

原油作为重要的基础能源在国民经济各行业中被广泛应用。石油工业是新疆工业的第一大支柱产业,新疆石油工业总产值已占全疆GDP总量的50%以上,对整个经济的发展起着至关重要的作用。自2005年以来,我国已先后对成品油价进行八次调整,提价频率之高、上涨幅度之大,使得以石油为能源或原材料的相关行业的产品价格受到影响。本文就当前石油价格的持续上涨对新疆相关行业的影响程度进行了分析,并提出了几点对策和建议。     

基于Copula-GARCH模型的原油市场和股票市场相关性研究

由于原油市场和股票市场之间的联动性日益增强,因此研究两个市场之间的关联特征,分析原油价格波动对股市的影响,有助于规避风险,保证经济持续平稳地增长.采用Copula-GARCH模型对WTI原油价格的收益率序列和NASDAQ股指的收益率序列进行实证分析.结果表明,GARCH(1,1)-t模型拟合两个序列的条件边缘分布效果最好,时变SJC Copula模型比常相关Copula模型能更好地刻画两个市场之间的相关关系.两个收益率序列之间存在正的相关关系,且相关关系具有时变性,相关结构具有一定的不对称性,上尾相关系数小于下尾相关系数,即两个市场同时出现价格极端下跌的可能性更大.这为中国金融市场风险管理,规避油价波动对股市的冲击提供一定的参考依据.     

Financial Statement Comparability and the Informativeness of Stock Prices About Future Earnings

We find that financial statement comparability enhances the ability of current period returns to reflect future earnings, as measured by the future earnings response coefficient (FERC). This suggests that comparability improves the informativeness of stock prices and allows investors to better anticipate future firm performance. In addition, using both the FERC and stock price synchronicity tests, we find that comparability increases the amount of firm‐specific information (rather than market/industry‐level information) reflected in stock prices. Analysts play an important role in improving stock price informativeness by producing more firm‐specific information when comparability is high. These findings suggest that comparability lowers the costs of gathering and processing firm‐specific information.