Stock exchange mergers and market efficiency

The aim of this article is to examine the impact of stock exchange mergers on the degree of informational efficiency. For this purpose, we apply the generalized spectral shape test for the martingale difference hypothesis to the stock returns before and after the 31 domestic and cross-border mergers completed from 1997 to 2011. The test is conducted with moving subsample windows, allowing us to detect the periods of (in)efficiency, and thus to conduct a comparative analysis for pre-merger and post-merger periods. We find that higher levels of efficiency are less frequent than lower levels of efficiency after a stock exchange merger. We also find that the impact on the level of efficiency depends on a range of merger characteristics such as the level of development, size, geographical diversification and industrial diversification of stock exchange.     

Liquidity commonality in order-driven trading: evidence from the Athens Stock Exchange

We examine the presence of liquidity commonality in the order-driven Athens Stock Exchange (ASE). Unlike the majority of liquidity commonality studies that focus on the bid–ask spread, our analysis extends deeper in the Limit Order Book, providing insight on the price impact of both small and large trades. We utilize a 6-month FTSE/ATHEX-20 intraday data set to estimate the liquidity factor model of Chordia et al. (2000). To this end, we conduct single-equation analysis as well as panel data analysis with the use of two-way clustered errors, correcting for simultaneous firm and time correlations. Moreover, we apply standard principal component analysis on stock liquidities to extract the marketwide liquidity component. We find that liquidity commonality is low at the bid–ask spread, whereas it increases deeper in the book; consequently, large traders face liquidity risks associated with both individual stock and marketwide illiquidity. Moreover, our empirical evidence hints that liquidity commonality is asynchronous, suggesting that the ASE trading process includes various levels of information speed. Our analysis contributes to the understanding of liquidity commonality in order-driven trading, especially in emerging markets like the ASE where trading activity is limited and information speed is low.     

股票流动性与企业创新：促进还是抑制——企业异质性视角

基于2010—2017年我国沪深A股1281家上市公司数据，从企业异质性视角分析股票流动性对企业创新的影响。结果发现：总体来看，股票流动性会抑制企业创新，而且对后期抑制作用更大；企业规模和行业特征是影响“股票流动性-企业创新”关系的重要因素，即股票流动性对大型企业和传统行业企业创新具有促进作用，而对中小型企业和高科技行业企业具有抑制作用。进一步机制研究显示，稳定型机构投资者和交易型机构投资者在股票流动性与企业创新间起双中介作用，虽然股票流动性对二者的作用方向相反，但最终都会导致企业创新水平下降。     

责任感、信任感与职工持股

中国企业中实行的职工持股制度，目的是为了解决长期以来企业中存在的“人人皆主人，无人会负责”的职工缺乏主人翁意识的状况。职工在工作中的责任感和信任感的存在，对企业的活动及其效益皆具有非常重要的意义。职工持股制度的着眼点是把激励建立在可感知的利益和“期望的利益”之上，这对于增强企业职工的主人翁意识与强化企业与职工之间的信任关系大有益处，它使职工对企业的参与有了可靠的物质基础和切入点。     

Entry costs and stock market participation over the life cycle

Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies point to a significant structural (state) dependence in the stock market entry decision, which is consistent with costs of this type. However, the magnitude of these costs is not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately two percent of the permanent component of the annual labor income. My estimated model matches the zero median holding as well as the hump-shaped age–participation profile observed in the data.     

交叉网络外部性在证券交易所定价中的应用分析

本文利用双边市场理论对证券交易所进行实证检验和模型研究,采用格兰特因果检验方法对上海交易所数据进行了实证分析,研究结果表明相比上市公司而言,投资者是“鸡蛋相生”问题的关键点,因此根据实证结果提出扩大投资者规模是证券市场发展的关键所在.然后针对上市公司和投资者的自网络外部性特征及投资者内部之间交易的特点,采用模型研究得出较强的负自网络外部性使得交易所会降低上市公司的注册费来吸引公司;当注册费太高时,交易所会降低交易费来保留住投资者,反之亦然.     

定向增发公告效应在股市中的异化现象——关于中国证券市场的实证研究

本文以中国证券市场2006～2008年成功进行定向增发的上市公司为样本,研究了定向增发公告效应在牛市、熊市中的异化现象。研究发现在牛市周期中仅仅公告日当天存在显著的正公告效应,公告日前后都不存在显著的正公告效应;但是在熊市周期中不仅公告日当天存在显著正公告效应,而且从公告日前两天开始一直到公告日后10天都存在显著正公告效应。在不同市场态势下,公告效应与折扣的关系也不相同:在熊市周期中,随着定向增发折扣的增加,公告效应相应减弱,而在牛市周期中公告效应增强。最后,论文给出了基于投资者情绪的理论解释以及相应的启示。     

Individual stock sentiment beta and stock returns

Using the data in Chinese stock market, we measure the individual stock sentiment beta, which is defined as the sensitivity of individual stock returns to the individual stock sentiment changes. We demonstrate that stocks in the highest individual stock sentiment beta portfolio have significantly higher excess returns, CAPM alpha, Fama-French three-factor alpha and Fama-French five-factor alpha. Besides, we find that the high individual stock sentiment beta stocks are smaller, younger, more volatile stocks with higher price and higher market beta. After controlling for firm characteristic, the returns of High-Low individual stock sentiment beta portfolios are still significantly positive. Moreover, we show the effect of the individual stock sentiment beta on stock returns is positive and significant in different stock markets, in different sample periods, and in bull and bear market. Besides, the results of the Bayes-Stein individual stock sentiment beta are still stable.     

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.     

How have the dependence structures between stock markets and economic factors changed during the COVID-19 pandemic?

This study investigates how the dependence structures between stock markets and economic factors have changed during the COVID-19 pandemic using the dynamic model averaging approach. A series of economic factors such as commodity markets, cryptocurrency, monetary policy, international capital flows, and market uncertainty indices are considered. We find that the importance of economic variables and the sign and size of their coefficients are significantly different from those before the COVID-19 pandemic. The stock markets are most influenced by economic factors during the COVID-19 outbreak.