Stock price targeting and fiscal deficit in Japan: Why did the fiscal deficit increase during Japan’s lost decades?

The purpose of this paper is to explain why Japan’s fiscal deficit increased so dramatically in the 1990s and the 2000s. We focus on the role of “stock price targeting” to explain why the fiscal expenditure increased so much. After presenting a simple model to describe government behavior with an optimistic view about stock price and output growth, the paper tests whether the model can explain Japan’s fiscal expenditure. The empirical results, using biannual and high-frequency data of the 1990s and the 2000s, show that the stock price targeting can track Japan’s fiscal expenditure reasonably well, especially in the 1990s. They imply that without the stock price targeting, the total amount of biannual fiscal stimulus from 1992 to 2000 would have been lower by 2.5 trillion yen on average.     

Reinvestigating the Oil Price–Stock Market Nexus: Evidence from Chinese Industry Stock Returns

The present study investigates the influence of international oil prices on China's stock market returns across 29 different industries. The paper attempts to account for any structural breaks and nonlinearity in this relationship. The results reveal that the effect of changes in the international price of oil on stock returns differs substantially across industries. The stock returns of the coal, chemical, mining and oil industries are found to be positively affected by crude oil price movements. Conversely, electronics, food manufacturing, general equipment, pharmaceuticals, retail, rubber and vehicle industries are found to be negatively affected by movements in the price of crude oil. The results of the estimations also suggest that the majority of Chinese industries have been significantly affected by oil prices since 2004. The influence of international oil prices on Chinese stocks also has a stronger effect in the presence of high volatility but the effect varies across industries.     

The Interdependence and Cause of Japanese and US Stock Prices: An Event Study

This paper analyses the interdependence between the US and Japanese stock price indexes, focusing on whether it exists only when a large change in the index occurs and what its possible causes are. To this end, I employ a kind of 'event study', which seeks to investigate whether the stock price index of one country significantly reacts only to a large change in the index of the other country. The results suggest that: (i) a strong two-way causality between the indexes is recognized clearly when one index shows a large change, while the interdependence is much less clear for small changes; and (ii) the news of a large fall or rise of the index itself plays an important role in the interdependence.     

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。     

影响中国国际资本流动的因素分析

本文结合中国资本流动的特点,加入证券市场价格及房地产价格水平两个变量实证分析了1982～2004年对我国国际资本流动的影响。结果表明对中国资本流动影响最显著的因素依次为利率、汇率、房地产价格指数和证券市场价格。     

The Korean stock market volatility during the currency crisis and the credit crisis

This paper studies the volatility of the Korean stock market during the Asian currency crisis of 1997–1998 and the global credit crisis of 2008–2009. We use a fad model with Markov switching heteroskedasticity, which was first proposed by Kim and Kim (1996). Using the monthly data from January 1980 to October 2009, we find that the volatility of the transitory component of the stock return, or fads, increased during the currency crisis, but did not rise much during the credit crisis. It implies that the stock price fluctuations were not driven by irrational sentiments during the recent global crisis as much as during the former crisis. However, when we consider the dollar value of the Korean stock index in order to estimate the volatility that foreign investors confront, we find that the volatility of the transitory component was raised during the credit crisis as well as during the currency crisis. That is, foreign investors experienced greater volatility than domestic investors in the recent financial market turmoil. This asymmetric volatility that domestic and foreign investors face is one of the characteristics of the credit crisis.For more detailed analysis, the same model was applied to the weekly data from January 2005 to October 2009 and provided the result that the data measured by won–dollar exchange rates were more increased than the raw data. It holds that foreign investors confronted much greater volatility than domestic investors while the stock volatility was relatively lower in the credit crisis state than in the currency crisis state.     

Intraday return and volatility spillover mechanism from Chinese to Japanese stock market

We analyze the mechanism of return and volatility spillover effects from the Chinese to the Japanese stock market. We construct a stock price index comprised of those companies that have substantial operations in China. This China-related index responds to changes in the Shanghai Composite Index more strongly than does the TOPIX (the market index of the Tokyo Stock Exchange). This result suggests that China has a large impact on Japanese stocks via China-related firms in Japan. Furthermore, we find evidence that this response has become stronger as the Chinese economy has gained importance in recent years.     

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。     

基于金融周期视角下股票市场的联动效应研究

世界经济全球化已成为趋势,发达经济体的股市之间以及发达经济体与新兴经济体股市之间的联动性也在经济全球化的趋势中更加紧密。各国金融领域以及金融市场间的快速融合,不断形成统一规范的金融行为准则,也使得全球金融周期性特征越来越明显。文章选取世界五个主要股票市场指数为研究对象,按照已有研究对全球金融周期的划分,将该样本区间分成了繁荣期、衰退期和正常期三个阶段,然后基于这三个阶段分析了在不同金融周期五国股票市场指数收益率联动效应。基于实证研究结论,认为美国和欧洲股市联动性较强,与亚洲股市联动性相对较弱,且美国和中国股市之间联动性最弱,基本捕捉不到下尾相关。相关实证结论有利于国际投资者的投资组合管理,也有助于各国股票市场的风险规避。     

美国量化宽松政策对新兴经济体股票市场价格的影响

2008年金融危机后美国采取量化宽松货币政策造成大量流动性进入新兴经济体股票市场。通过建立面板VAR模型,运用脉冲响应函数和方差分解技术分析了美国货币供应M1、股票市场以及联邦基金利率透过汇率、利率和预期方式对新兴经济体股票市场价格指数产生的影响。结果表明,美国量化宽松货币政策对新兴经济体股票市场价格具有正向溢出效应,利率渠道影响效果显著。     

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.     

Influence of macroeconomic factors on the Russian stock market

The article highlights approaches to estimating external factors having an impact on development of the Russian stock market. It contains different standpoints of international and domestic authors on this subject. The authors have tested the econometric EGARCH model in the article in order to evaluate the impact of various factors on the domestic stock market. The factors analyzed include the gross domestic product (GDP), US dollar exchange rate, euro/dollar ratio, net capital movement, and Brent oil free market price. The results of analysis show the heavy reliance of the dynamics of the Russian MICEX stock exchange index primarily on the oil price and US dollar exchange rate.     

Measuring Exchange Market Pressure and Its Contagion in the East African Community

As the members of the East African Community seek to further integrate their economies, issues of compatibility arise. How interlinked are these countries' exchange markets, and which currencies are most likely to influence their neighbours? This study constructs monthly indices of exchange market pressure (EMP) for Burundi, Kenya, Rwanda, Tanzania and Uganda over the past decade. Two methods of constructing these indices are shown to exhibit large differences. Vector autoregressive approaches are then applied to the main EMP series and a set of global stock price proxies. Kenya, the dominant economy, is shown to have the largest effect on the region but is not itself affected by other regional currencies. Foreign stock price declines increase EMP for all countries except Tanzania, which is also the least integrated in terms of trade. This suggests that financial integration in the region is uneven – with implications for a successful common currency.     

周期视角下半导体行业股价指数波动

半导体股价指数受行业周期影响呈现周期规律,运用向量自回归模型,从宏观和行业层面出发,结合半导体周期和硅周期进行分析。实证研究表明,行业周期和股价指数周期之间存在相关性,半导体行业周期波动是半导体股价指数周期波动的核心影响因素,股价指数周期先于行业周期2～6个月,证实股票市场发挥宏观经济晴雨表功能。从行业周期视角分析股价指数波动的内在规律,对优化投资者的投资策略具有一定的参考价值。     

Foreign dependence of individual stock prices: The role of aggregate product market developments

In this paper, we analyze the role of aggregate variables in the transmission from international stock price developments to individual domestic stock prices in a small open stock market. In particular, a theoretical and econometric model is used to determine whether international aggregate product market developments explain observed differences in foreign dependence among individual Belgian stocks. The results suggest that, except for the stocks of some internationally oriented companies, expected international production is not the most important explanatory variable and that an estimation model of aggregate fundamentals explains only part of individual stock price adjustments.     

房地产上市公司股价影响因素实证分析

近年来,在持续的房地产调控政策影响下,我国商品房市场开始出现成交量大幅下滑,房价逐步松动下滑的现象。但在此期间,房地产上市公司股票价格不仅强于大盘走势,而且其波动幅度也高于房地产销售价格指数。为此,本文选择房地产上市公司股票价格指数为因变量,选择上证综指、发电量增长率、CPI、人民币贷款利率、房地产价格指数五个因素指标为自变量进行多元回归统计建模,模型检验结果表明,房地产上市公司股价波动除具有一般金融资产价格波动的系统性、集聚性等特点外,还具有与人民币贷款利率和房屋销售价格指数负相关的特点。受宏观调控政策的持续影响,中国当前房地产市场出现一定程度的扭曲,实体经济增长对房地产上市公司股价的影响不显著。     

城市房价联动的网络结构特征及其影响因素——基于中国69个大中城市月度数据的经验考察

全面认识城市房价联动的网络结构特征对于提高房价调控政策的精准性、构建跨区域房价协同调控机制具有重要的理论意义和应用价值。本文基于2011年1月至2015年2月中国69个大中城市50个月的新建商品住宅销售价格同比指数,利用社会网络分析（SNA）方法实证考察了城市房价联动的网络结构特征及其影响因素。研究发现：①从整体网络结构特征看,样本考察期内,中国城市房价联动呈现显著的网络结构形态,且通达性好、稳定性高。②中心性分析结果显示,上海、广州、深圳、北京等城市中心度较高,处于网络中心位置,具有房价“引领”作用。③块模型分析结果显示,北京等9个城市属于净溢出板块,在网络中扮演“引导”角色;长沙等17个城市属于经纪人板块,在网络中扮演“桥梁”角色;北海等25个城市属于双向溢出板块,在网络中扮演内、外部双向“引导”角色;九江等18个城市属于净受益板块,在网络中扮演“跟随”角色。此外,板块的“俱乐部效应”、“梯度效应”显著。④QAP分析结果显示,城市间人口数量、经济发展水平、工资收入水平、金融发展水平和产业结构差异对城市间房价联动关系具有显著影响。基于上述结论本文提出了中国城市房价协同调控的政策建议。     

What moved share prices in the nineteenth‐century London stock market?†

Using a new weekly blue‐chip index, this article investigates the causes of stock price movements on the London market between 1823 and 1870. We find that economic fundamentals explain about 15 per cent of weekly and 34 per cent of monthly variation in share prices. Contemporary press reporting from the London Stock Exchange is used to ascertain what market participants thought was causing the largest movements on the market. The vast majority of large movements were attributed by the press to geopolitical, monetary, railway‐sector, and financial‐crisis news. Investigating the stock price changes on an independent list of events reaffirms these findings, suggesting that the most important specific events that moved markets were wars involving European powers.     

Herding behaviour in the Chinese and Indian stock markets

The existence of herding behaviour challenges the validity of the “efficient market hypothesis”. This study examines herding behaviour in the Chinese and Indian stock markets; our findings suggest that herding behaviour exists in both. The level of herding depends on market conditions. In the Chinese market, herding behaviour is greater when the market is falling and the trading volume is high. On the other hand, in India the study finds that it occurs during up-swings in market conditions. Herding behaviour is more prevalent during large market movements in both markets. In relative terms, a lower prevalence of herding behaviour was detected in the Indian stock market.     

股票资金流强度的实证研究及评测

在资金博弈的股票市场中,资金流向确认与计算是金融工程的一大理论难题,国内有学者在现有资金流计算方法基础上,提出了股票资金流强度模型和构建了股票资金流指数指标体系。根据统计分析方法利用SPSS软件对股票资金流强度和股价波动环比增长率进行相关性分析,进而实证股票资金流强度指标的有效性。实证结果表明股票资金流强度与股价波动环比增长率呈线性趋势,从而利用股票资金流强度指标可以很好地预测股价的变化。