中国股市收益波动特征分析

在以往文献中发现用传统的GARCH模型估计收益率序列通常表现出波动具有长记忆性特征和较高的方差持续性，这些特征可以由方差的结构性变点造成。本文采用Chow检验对上证综指收益率序列进行了方差结构性变点的检测，证实了这些结构性变点与影响中国股市收益结构的国内外重大的经济和政治事件相符合采用GARCH模型分段建模，发现了国内、国际的重大经济和政治事件对股市的影响作用。分段建模很好地刻画了我国股票市场的发展过程，各阶段的GARCH模型表明股票市场波动逐渐减缓，市场逐步成熟。     

沪深股票市场风险变异性实证研究

股票市场是信息和资本快速流动的一个要素市场、信息、资本的快速流动使得股票市场价格频繁变化，从而导致股票市场波动。本文拟对沪深股票市场的波动特征及风险变异性进行实证研究，同时分析涨跌停板交易制度对两个市场波动的影响。     

上市公司财务报表粉饰常用手法探析

我国的股票市场从成立至今已走过16个春秋。股票市场从无到有、发展迅速，但与此同时，积存于市场中的虚假信息问题却未能得到很好解决，我国股市的虚假信息有着显著的特点：它不单反应在利润造假、成本虚构等方面，而是一种为了达到种种目的、全方位的会计造假，即财务报表粉饰。上市公司财务报表粉饰行为的泛滥严重影响了会计信息的质量，甚至引起了中国股票市场和注册会计师行业的诚信危机。     

采取综合措施避免股市大幅波动

日前发布的《2008年中国金融稳定报告》指出：避免股票市场出现大幅波动，一是要改进和完善股票市场运行制度，稳步扩大股票市场规模，发展股指期货等金融衍生产品。二是完善公司治理和信息披露制度，促进上市公司不断提高质量。三是发展多层次资本市场，适时推出创业板。四是进一步发展壮大机构投资者队伍，拓展增加市场长期投资资金的渠道。五是依法打击内幕交易和市场操纵等违法、违规行为，严厉查处违规资金进入股市，建立和维护公开、公平、公正的市场秩序。最后，报告特别提到，可“及时采取财税、金融等政策措施，有效调节市场需求”。     

上海股票市场波动的周内效应

周内效应研究是分析股票市场有效性的一个重要方面。本文基于股票市场的波动存在ARCH效应的事实，对上海股票市场是否存在周内效应进行检测，研究表明，上海股市存在“星期五效应”，星期五具有明显正的超额收益率。对于这种有别于其他股票市场的周内效应，笔者从市场结构和交易机制等方面给予了解释。     

股市与政策的“随机漫步”

股市又跌了。让人有些疑惑。有涨有跌本不必疑惑。可让人不明白的是，经过痛苦的3年时间，特别是最近一年，股权分置改革后，A股市场依旧看“社论”的脸色。     

关于美国次贷危机对我国金融业影响的思考

蓬勃发展的中国股票市场自2008年1月15日开始一路走低，当然，造成股票市场下跌的因素是多方面的，而最重要的诱凶之一可以说是美国次贷危机。因为正是2008年1月15日和1月17日花旗银行和全球最大券商美林公司宣布巨额亏损，导致纽约股市下跌，全球股票市场普遍受到拖累，由此也成为中国股市大跌的起点。与此同时，也对我国经济的其他方面带来了一定的影响。     

谁在拯救中国经济

中国经济的危机是什么你现在心里是什么状态呢？是不是很迷茫？好像经济发展不好了，股市跌了，楼市也跌了，找工作困难了，这是为什么呢？别人告诉你是因为国际金融危机，你觉得可能是吧或者应该是吧。然而，半年下来美国的危机没结束，你却发现2009年上半年中国的房价慢慢涨起来了。     

鲜资讯

观点曾培炎：私有、合资享有同等入市权曾培炎（国家发展计划委员会主任）日前在九届人大五次会议记者招待会上说，股市有涨有落，这是客观规律。中国的股市有十多年的历史，需要不断完善发展。股市是很重要的直接融资的渠道，有利于中国经济建设的发展。我想，私有企业、合资企业只要符合上市的条件，都可以进入到股市。樊纲：为中国资本市场辩护樊纲认为中国资本市场发展的起点、动机与西方国家不一样。西方国家资本市场的起点是私有制，私人企业发展大了以后，需要进一步融资，需要在资本市场上发行股票，于是出现了股票市场。而且，在有…     

美国次贷危机警示我国楼市

2008年1月12日,中国证监会主席尚福林说,要密切关注全球经济和金融市场变化对我国资本市场的影响。他特别提到,美国次贷危机是一个警示,要看到,在全球经济金融体系联动性不断增强的态势下,风险在金融市场各个子系统之间以及国际金融市场之间的传导效应也大大增强。话音刚落,1月22日,受美国经济恶化超过预期及主要银行受次贷影响紧缩信贷的影响,全球股市雪崩。继21日全球股市大跌之后,22日亚太股市再度全线暴跌,日本股市收盘跌5.65％,香港恒指大跌8.65％．印度股市下跌10％后一度暂停交易,一直独善其身的A股亦受拖累跳水：沪指收盘暴跌354点,近900只股跌停,中国平安、中国国航、中国联通等多只权重股封死在跌停板上,两市上涨股票仅24家。 这一切显示,次贷危机的阴影挥之不去,影响的范围正在扩大。市场分析人士指出,美国次级抵押贷款市场危机如果进一步升级,并扩大至更多金融领域,将会导致全球金融市场出现更加剧烈的动荡。而且,危机如果影响到美国经济增长的主要动力——个人消费开支,则会对美国乃至全球经济增长造成不利影响。     

Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic

Since the level of markets’ information efficiency is key to profiteering by strategic players, Shocks; such as the COVID-19 pandemic, can play a role in the nature of markets’ information efficiency. The martingale difference and conditional heteroscedasticity tests are used to evaluate the Adaptive form of market efficiency for four (4) major stock market indexes in the top four affected economies during the COVID-19 pandemic (USA, Brazil, India, and Russia). Generally, based on the martingale difference spectral test, there is no evidence of a substantial change in the levels of market efficiency for the US and Brazilian stock markets in the short, medium, and long term. However, in the long term, the Indian stock markets became more information inefficient after the coronavirus outbreak while the Russian stock markets become more information efficient. Intuitively, these affect the forecastability and predictability of these markets’ prices and/or returns. Thereby, informing the strategic and trading actions of stock investors (including arbitrageurs) towards profit optimization, portfolio asset selection, portfolio asset adjustment, etc. Similar policy implications are further discussed.     

Time–frequency quantile dependence between Bitcoin and global equity markets

In this paper, we examine return dependence between Bitcoin and stock market returns using a novel quantile cross-spectral dependence approach. The results suggest a right-tail (high return) dependence between Bitcoin and the stock markets in the long term and that said dependence decreases significantly from yearly to monthly investment horizons. Furthermore, right-tail dependence between Bitcoin and the US stock market is the strongest compared with other stock markets. We also extract information on the time-varying and time–frequency structure of co-movements between Bitcoin and the stock markets using wavelet-coherence analysis, the results of which suggest that the co-movement between Bitcoin and the US stock market is positive, whereas, for other stock markets, it is negative at certain frequencies and time periods. Overall, the findings highlight additional risk-management capabilities of Bitcoin according to different stock markets.     

The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods

Based on the new perspective of high-dimensional and time-varying methods, this paper analyzes the contagion effects of US financial market volatility on China’s nine financial sub-markets. The results show evidence of non-linear Granger causality from the US financial volatility (VIX) to the China’s financial markets. Increased US financial volatility has a negative next-day impact on the stock, bond, fund, interest rate, foreign exchange, industrial product and agricultural product markets, and a positive next-day impact on the gold and real estate markets. US financial volatility has the greatest impact on industrial product market, following by stock, agricultural product, fund, real estate, bond, gold, foreign exchange, and interest rates. Major risk events such as the global financial crisis can cause an enhanced contagion effect of US financial volatility to China's financial markets. This paper supports the achievements of China's actions to prevent and resolve major financial risks in the period of the COVID-19 epidemic.     

Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration

Given that the United States is an engine of global stock market while China is the largest emerging market with a cornucopia of anomalies in particular, it is vital to investigate the risk-return relationship in the two markets. This paper brings new insights not only into risk-return tradeoff, but also to the leverage effect, with the application of the fractionally co-integrated vector auto-regression (FCVAR) model capturing the fractional cointegrated relationship and long memory property. Results show that China stock markets own the property of double long memory but the US markets don’t. Most of all, in the US market, a positive risk-return tradeoff exists for the whole sample while after the crisis, even we find the negative relation, it’s not a volatility feedback effect but low risk and high returns. However, there is only a volatility feedback effect in China stock markets. Besides, there is a leverage effect in the US market, while Chinese market exhibits a reverse one, another anomaly, indicating significant difference in the two markets again.     

President’s Tweets,US-China economic conflict and stock market Volatility: Evidence from China and G5 countries

This study provides empirical evidence that the tweets from US President Donald J. Trump influence the trading decisions of investors worldwide. We examine the effects of Trump’s tweets related to China on stock market volatility in China and the G5 countries. Our results show that Trump’s original tweets related to the US-China economic conflict expand volatility in stock markets worldwide, and the US-China trade friction intensifies this effect. Furthermore, Trump’s tweets with different sentiments have different impacts on the returns of global stock markets. Our findings confirm that international investors may make their investment decisions based on information conveyed in these tweets.     

股价波动与信息公告方式相关性研究

文章首先构造赢家(输家)组合,并根据信息公告方式定义信息类型属于私人信息还是公开信息,然后考察股价波动与信息发布方式的关系。通过实证研究,我们发现:股价波动和信息的公布方式存在紧密的联系,其中赢家组合整体表现出明显的收益反转现象,对私人信息存在过度反应;输家组合虽整体上未表现出明显的惯性现象或者反转现象,但其对私人信息表现出明显的过度反应。     

Stock prices and the location of trade: Evidence from China-backed ADRs

This study examines whether the trading location affects equity returns of China-backed American Depository Receipts (ADRs) traded in the US. If International Financial Markets are integrated, stock prices should be affected only by their fundamentals; otherwise, stock prices may also be affected by their trading locations/investor sentiment. We find that China ADRs’ returns are affected more by the US market fluctuations than by Chinese market returns. We interpret the results as suggesting that International Financial Markets are at least partially segmented and country-specific investor sentiment affects stock prices.     

价值投资：中国股票市场实证分析

已有的研究表明,在成熟市场中,价值股的投资收益率普遍高于热门股(亦称成长股)。那么,这一结论在新兴市场是否成立?本文运用组合法,对沪、深股市1996年至2004年期间的股票进行了系统的实证研究。我们发现,中国股市存在微弱的价值溢酬,但常用的价值指标与股票收益率之间的关系存在差异。研究结果表明,中国股票市场具有鲜明的新兴市场特征;但随着时间的推移,价值投资溢酬呈现逐渐提高的趋势。     

Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching: Evidence from over a century of data

This paper analyses the risk spillover effect between the US stock market and the remaining G7 stock markets by measuring the conditional Value-at-Risk (CoVaR) using time-varying copula models with Markov switching and data that covers more than 100 years. The main results suggest that the dependence structure varies with time and has distinct high and low dependence regimes. Our findings verify the existence of risk spillover between the US stock market and the remaining G7 stock markets. Furthermore, the results imply the following: 1) abnormal spikes of dynamic CoVaR were induced by well-known historical economic shocks; 2) The value of upside risk spillover is significantly larger than the downside risk spillover and 3) The magnitudes of risk spillover from the remaining G7 countries to the US are significantly larger than that from the US to these countries.     

Oil prices,stock returns,and exchange rates: Empirical evidence from China and the United States

Employing the diagonal BEKK model as well as the dynamic impulse response functions, this study investigates the time-varying trilateral relationships among real oil prices, exchange rate changes, and stock market returns in China and the U.S. from February 1991 to December 2015. We highlight several key observations: (i) oil prices respond positively and significantly to aggregate demand shocks; (ii) positive oil supply shocks adversely and significantly affect the Chinese stock market; (iii) oil price shocks persistently and significantly impact the trade-weighted US dollar index negatively; (iv) the US and China stock markets correlate positively just as the dollar index and the exchange rate does; (v) a significant parallel inverse relation exists between the US stock market and the dollar and between the China stock market and the exchange rate; and (vi) the Chinese stock market is more volatile and responsive to aggregate demand and oil price shocks than the US stock market in recent years.