Economic policy uncertainty,oil price volatility and stock market returns: Evidence from a nonlinear model

This paper investigates the nonlinear relationship between economic policy uncertainty, oil price volatility and stock market returns for 25 countries by applying the panel smooth transition regression model. We find that oil price volatility has a negative effect on stock returns, and this effect increases with economic policy uncertainty. Furthermore, there is pronounced heterogeneity in responses. First, oil-exporting countries whose economies depend more on oil prices respond more strongly to oil price volatility than oil-importing countries. Second, stock returns of developing countries are more susceptible to oil price volatility than that of developed countries. Third, crisis plays a crucial role in the relation between oil price volatility and stock returns.     

金融危机时期公允价值计量对股票收益率和市场波动性的相关性研究

文章研究我国A股非金融类上市公司在金融危机时期,公允价值计量的资产和损益对股票收益率和市场波动性的影响。文章选取2007年第4季度-2009年第2季度7个季度的面板数据,运用固定效应模型进行回归分析,结果表明:公允价值计量的资产对股票收益率有显著影响,公允价值计量的损益的会计信息没有反映在股价上,对股票收益率无显著影响;公允价值计量的资产和损益都没有加剧市场波动,反而降低了市场波动,即公允价值在我国没有起到金融危机助推器的作用。     

Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility

Using monthly data from 1973 through 2020, we explore whether it is possible to improve the accuracy of one-month ahead log-aggregate equity return realized volatility point forecasts by conditioning on various nonlinear crude oil price measures widely relied on in the literature. When evaluating the evidence of unconditional relative equal predictive ability as specified in Diebold and Mariano (1995), we observe that similar to well-known economic variables, such as the dividend yield, the default yield spread and the rate of inflation, we rarely observe evidence of statistical gains in relative point forecast accuracy in favor of the crude oil price-based models. However, when evaluating the evidence of conditionalrelative equal predictive ability as specified in Giacomini and White (2006), we observe that contrary to well-known economic predictors, certain nonlinear crude oil price variables, such as the one-year net crude oil price increase suggested in Hamilton (1996) offer sizable point forecast accuracy gains relative to the benchmark. These statistical gains can also be translated into economic gains.     

我国证券投资基金重仓持股变动对股票价格波动性影响的实证研究

文章采用了2006年第一季度到2008年第四季度国内证券投资基金公布的季度数据,运用动态面板数据模型对我国证券投资基金重仓持股变动与股票价格波动性之间的关系进行了实证研究。结果表明,在牛市中证券投资基金重仓持股比例的变化与股价波动性成正向关系,加剧了股价的波动;在熊市中证券投资基金持股比例变化与股票价格波动性成反向关系,起到了稳定证券市场的作用。     

中国股市与汇市波动溢出效应研究

以上证综合指数和人民币兑美元名义汇率为指标,运用多元GARCH模型对中国股票市场和外汇市场之间的波动溢出效应进行实证研究。结果表明：汇率制度改革后,我国股市与汇市存在显著的双向波动溢出效应;汇市对股市表现出较强的波动传导,而股市对汇市的波动传递则相对较弱,存在着波动传导的非对称性。     

The 2016 U.S. presidential election and the Stock,FX and VIX markets

The U.S. presidential election is one of the global political events that have the profound effects on the Global Financial Markets (GFMs). The aim of the study is to examine Stock, FX and VIX markets under the U.S. presidential election 2016. The findings strongly suggest that ‘U.S. presidential election effects’ hold in equity and FX markets across the GFMs. The empirical outcome signifies that markets are inefficient in the short-run (election year) and allows the opportunity to make abnormal gains from the market. The ‘Republican president elect’ has shown negative effects on the Nifty50, S&PASX200, and IPC equity markets while FTSE100, DJIA, Top40, EuroStoxx50 and Nikkei225 have reported positive returns. The Trumps’ proposal on international trade has caused major loss in the global currency market against the U.S. dollar. The investors’ sentiment to be measured extremely low on the poll announcement day but VXJ and AXVI based market participants have shown very high degree of concern. The Bearish-run election effects to be observed during the election period while post election period has shown Bull-run effects (Asia-pacific markets).     

基于Copula理论的宏观经济与股票市场相关性研究

为了刻画宏观经济与股票市场波动间的相关性,在静态Copula模型的基础上,应用了一种全新的条件动态Copula(DCC-Copula)技术,它可以捕捉到经济变量间动态的相关结构。结合Gaussian-GARCH模型和DCC-Copula函数,建立了DCC Copula-GARCH模型全面对宏观经济变量与股票市场之间相关性进行了分析。结果说明,随着时间的变化,宏观经济与股票市场波动之间存在着较稳定的正相关关系。     

信用交易保证金与股价波动关系研究

通过对境外市场保证金变动对股价波动影响的实证结果进行梳理后发现,保证金的调整对市场波动产生两种相反的效果,即流动性效果和投机性效果,保证金对市场波动的影响取决于两种效果的力量对比,如果流动性效果较强,则调整保证金对股价波动无影响或加剧市场波动,反之,则会减轻市场波动。     

The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices

Using daily data from March 16, 2011, to September 9, 2019, we explore the dynamic impact of the oil implied volatility index (OVX) changes on the Chinese stock implied volatility index (VXFXI) changes and on the USD/RMB exchange rate implied volatility index (USDCNYV1M) changes. Through a TVP-VAR model, we analyse the time-varying uncertainty transmission effects across the three markets, measured by the changes in implied volatility indices. The empirical results show that the OVX changes are the dominant factor, which has a positive impact on the USDCNYV1M changes and the VXFXI changes during periods of important political and economic events. Moreover, USDCNYV1M changes are the key factor affecting the impact of OVX changes on VXFXI changes. When the oil crisis, exchange rate reform, and stock market crash occurred during 2014–2016, the positive effects of uncertainty transmission among the oil market, the Chinese stock market, and the bilateral exchange rate are significantly strengthened. Finally, we find that the positive effects are significant in the short term but diminish over time.     

Lottery mindset,mispricing and idiosyncratic volatility puzzle: Evidence from the Chinese stock market

This study investigates the MAX effect regarding lottery mindset in the Chinese stock market. The MAX effect significantly affects stock returns through quintile portfolio and cross-sectional regression analyses. The most-overpriced stock groups, as categorized by mispricing index, show more support for the MAX effect. However, the idiosyncratic volatility (IVOL) effect continues regardless of consideration for the MAX effect, indicating that the MAX effect is not a source of the IVOL effect. Our results suggest that the MAX effect, which is highly relevant for overpriced stocks, might have information for determining stock price, and appears to be independent from information of the IVOL effect in the Chinese stock market.     

The empirical linkages among market returns,return volatility,and trading volume: Evidence from the S&P 500 VIX Futures

The purpose of this study is to examine the relationships between return and trading volume as well as between return volatility and trading volume by analyzing the asymmetric relationships of contemporaneity and lead-lags between these factors for the S&P 500 VIX Futures Index. We apply the threshold model with the GJR-GARCH framework for empirical analysis herein. The main findings demonstrate that the threshold effects exist in both the contemporaneous and lead-lag relationships between return-volume and volatility-volume. Moreover, the delayed effects of a one-trading-day lag through to three-trading-day lags exist from trading volume to returns and return volatility. Larger trading volume is beneficial for investors to gain returns, but it also leads to higher volatility. The implication of our findings offers a suggestion as to the opportune timing for investors to buy S&P 500 VIX Futures.     

股权激励与企业绩效关系多样性的原因分析——基于系统动力学的视角

基于系统动力学理论,分析了股权激励系统动力学特征,对导致股权激励与企业绩效关系多样性的原因进行了探究。研究结果表明:以往的研究忽略了与股权激励相关的软变量;忽略了股权激励作用的延迟效应;忽略了股权激励系统中起主导作用回路的转移。并针对原因提出了一些建议和启示。