价值投资策略在中国A股市场有效性的实证研究

本文介绍了股票价值投资理论,给出来影响股票价值的重要的基本面因子,选取沪深300指数的成分股做股票池,通过对8种在国内影响股票价格较大的因子的赋值,分值由高到低排序,构造了五个组合,通过28个季度的观察,发现分值高的组合投资收益远远高于沪深300指数收益。从而论证该选股模型在沪深300指数成分股中是有效的。     

沪深300指数的时间序列分析

本文通过对沪深300指数的研究，得到沪深300指数是非平稳的时间序列，运用ARIMA模型拟合沪深300指数，在对模型的合理性进行检验中，其残差不能通过白噪声检验。而且，沪深300指数也不存在ARCH效应，从而，利用ARCH模型进行也不合适。这样，为时间序列模型的发展研究提供了一个新的方向。     

基于基本面因子的FCM量化选股策略

选取沪深300成分股作为样本股,截取2015-2018年财务数据和行情数据,基于价值因子、盈利能力因子、运营能力因子、成长能力因子、偿债能力因子及品质因子六个维度选取的候选因子,利用模糊C-均值聚类(FCM)算法对有效因子进行最终筛选,构建多因子模型。本模型在对沪深300成分股测试中取收益前100股作为一览组股票形成投资组合,其测试结果大部分年份远超基准收益,其他指标相对稳健,为量化投资研究提供了新的思路。     

沪深300股指期货市场功能发挥的经验研究

2010年4月16日,沪深300股指期货正式启动.现选取沪深300股指期货上市前后各两年(2008年4月15日-2012年4月16日)的期货、现货价格数据和交易量数据,通过分解交易量的方法,运用EGARCH模型检验沪深300股指期货的市场稳定功能;运用VECM模型检验其价格发现功能.结果显示,推出两年后,沪深300股指期货确实在一定程度上发挥了市场稳定与价格发现的功能.总体而言,沪深300股指期货虽然仍有改善的空间,但它却是我国在金融衍生品交易领域的一次成功尝试.未来我国进一步推出其他类型的金融衍生品,应当充分借鉴沪深300股指期货的成功经验.     

沪深300股指期货与股指现货市场关联性研究

文章利用协整关系检验、Granger因果检验、误差修正模型等计量方法,对沪深300股指期货上市近2年来的交易数据进行分析,研究发现:我国沪深300股指期货价格与沪深300股指指数间存在长期稳定的均衡关系,且在一定滞后期范围内,存在着从沪深300股指指数到沪深300股指期货价格的单向因果关系,即沪深300股指指数是股指期货价格变化的原因,前者对后者有单向的价格引导作用。     

沪深300指数期货价格随机利率效应研究

经典持有成本模型在非随机利率假设无法满足的条件下仅仅是远期合约而非期货的定价模型。本文采用拟合SHIBOR曲线的方法生成无风险纯折现债券模拟价格序列,对沪深300指数期货价格的随机利率效应进行了实证检验。研究结果表明,由于利率管制、股指期货市场和货币市场发展不成熟等因素的共同作用,沪深300指数期货价格中不含随机利率效应,指数远期和期货理论价格相等;如果持有成本模型其他假设条件也得到满足,则该模型可以用于沪深300指数期货定价。     

基于GARCH模型的股指期货对现货市场波动影响的实证研究

2010年4月16日中国金融期货交易所正式推出沪深300指数期货。股指期货的推出是否对其标的资产波动有显著影响,至今在经济学界和实践部门都有着很大的争议。有关股指期货对现货市场的影响研究,现有文献大多集中于研究欧美等市场经济比较发达的资本市场,对中国等新兴市场的研究不足;另外国内文献基本上以GARCH族模型进行模拟.本文在借鉴了国内现有研究成果的基础上,以我国沪深300指数为样本,用GARCH模型对沪深300指数期货推出对股票市场波动性影响进行了实证研究。研究结果表明:股指期货在一定程度上减小了股票市场的波动性,总体上发挥稳定市场的功能,但这种影响较小。     

沪深300股指期货与现货市场间风险传染效应及影响因素

本文选取2005—2019年我国沪深300股指期货和沪深300股票指数日收盘价数据,结合股票推出时间、股价波动性,设置样本组、对照组,运用GARCH模型、DCC-GARCH模型、Granger因果关系检验及多元线性回归模型分析了沪深300股指期货与现货间的风险传染效应及影响因素,并结合研究结论提出对策,以期促进资本市场健康发展。结果表明:沪深300股指期货市场与现货市场间存在双向的风险传染效应,且经DCC-GARCH模型分析表明风险传染效应在动荡期尤为明显;影响这种风险传染效应的因素有很多,主要表现为微观因素中的股票市场流动性和股票市场不确定性与极端事件两个方面。     

探究融资融券交易制度对股票市场的影响

本文利用试点以来的融资融券数据和沪深300指数,探究融资融券交易制度对股票市场的影响。本文通过建立VAR模型、运用Granger因果检验发现沪深300指数的对数收益率和融资融券交易总金额一阶差分具有显著的关系;之后进行了脉冲响应函数分析,发现当期给融资融券交易总金额一阶差分以正的冲击,会给沪深300指数对数收益率带来正的冲击。本文为防止"伪回归"现象的出现,又辅之以协整检验和VEC模型的建立,得出沪深300指数和融资融券交易总金额差分具有长期均衡关系的结论。     

沪深300指数与股指期货价格变化关系的检验

在沪深300股指期货推出两年以后,为了验证期货市场的价格发现功能,本文利用VAR模型对沪深300股指期货和现货价格的每分钟收益率序列实际数据进行检验.实证检验结果显示期货价格变化对未来现货价格变化有显著影响,持续时间可达5分钟以上,而现货价格对期货价格变化没有显著影响.因此,沪深300指数期货市场已经发挥了较强的价格发现功能.同时,我们发现对股指期货和现货市场而言,VAR模型具有较强的稳定性,在利用历史数据预测未来指数价格变化中有较强的实用价值.     

凤尾变鸡头:被忽视的指数成分股交换

沪深300和中证500同时调整成分股,沪深300调出的股票大部分会进入中证500。这些交换的成分股既有沪深300调出效应,也有中证500调入效应。已有文献专注于沪深300调出样本整体的调出效应,却忽视了交换股还有中证500调入效应。本文首先使用断点回归设计研究交换股,证明了指数效应在国内存在。随后,使用Fama-French五因子模型研究交换股与其它沪深300调出股的差异,解释了为何国内研究认为指数效应不存在:交换股主要表现出调入效应,抵消了其它沪深300调出股的调出效应,忽视指数成分股交换导致了整体调出效应“不显著”,甚至为正。     

沪深300股指期货与现货指数的引导关系研究

以沪深300现货指数和当月沪深300股指期货连续合约的1分钟高频数据为样本,将数据分为上涨与下跌两个阶段,采用Granger因果检验、VAR模型、脉冲响应函数、方差分解和VEC模型对期货指数与现货指数的引导关系进行实证分析。研究发现在下跌阶段期货指数领先于现货指数,对现货指数有很强的引导作用,而期货指数的变动更多来源于自身滞后期的波动。在上涨阶段期货指数与现货指数互为格兰杰因果关系,两个指数之间存在很强的协同性,相互之间都具有很强的引导作用。     

Modifying a simple agent-based model to disentangle the microstructure of Chinese and US stock markets

We modify a simple agent-based model (ABM) proposed by Franke and Westerhoff [J. Econ. Dyn. Control, 2012, 36(8), 1193–1211] through considering the price limits and the motion of the fundamental value. The method of simulated moments is applied to calibrate both initial and modified ABMs with CSI 300 and S&P 500 respectively, and the goodness-of-fit of each ABMs is tested. The calibration results indicate that the modified model performs better than initial one. Then, we utilize the GSL-div, proposed by Lamperti [Econometrics Stat, 2018, 5, 83–106.], to verify the explanatory power of ABMs. In this procedure, 13 ARCH family models are introduced as benchmarks. The result shows that the explanatory power of modified ABM exceeds ARCH models in both markets, while initial ABM may be defeated by some of the ARCH family models in explaining the microstructure of CSI 300. Finally, a heuristic algorithm is designed to disentangle the insights of Chinese and US stock markets to the observed time horizon through calibrating the initial fundamental value, and Kupiec test is used to check the robustness of the calibration. The result indicates that the explanation of modified model is robust in both markets, while initial model lost its robustness when explaining S&P 500.     

恒生指数和沪深300股指期货套期保值效果对比研究

本文利用OLS、ECM、ECM-GARCH模型对沪深300股指期货和恒生指数期货的最优套期保值率进行了估算,并在风险最小化框架下对它们的套期保值效果进行了对比研究。结果发现:无论是哪种股指期货,不考虑期现货间存在的协整关系会使估算的最优套期保值率偏高,影响套期保值效果;其次是虽然在样本内外,沪深300股指期货的套期保值效果比恒生指数期货的好,但是沪深300股指期货套期保值效果的稳定性比恒生指数差。此时,ECM-GARCH和OLS模型分别为样本内外投资者利用沪深300指数期货进行套期保值时的最佳选择;对于恒生指数股指期货,最优模型是ECM。     

Investor sentiment‐styled index in index futures market

In this paper, we define and analyze the sentiment‐styled index for the CSI 300 index futures in the Chinese futures market. Our sentiment‐styled index for the CSI 300 index futures from April 16, 2010 to April 30, 2019 is constructed by the first and second principal component analyses, rather than only by the first principal component analysis used in the Baker and Wurgler (Journal of Finance 61(4): 1645–1680, 2006) method. The sentiment‐styled index explains 78.38% of the sample variance. The vector error correction model is adapted to study the dynamics of cointegration of the sentiment‐styled index and the logarithmic futures price. We use the GARCH‐DCC model to illustrate the spillover effect between the sentiment‐styled index and the Chinese futures market. We show that this investor sentiment‐styled index does have the price discovery from the Granger causality and common factor weights and the hedging function from the Baba–Engle–Kraft–Kroner model empirically; furthermore, we use the curvature term of the sentiment‐styled index to determine the multiple unit roots. More empirical results for the sentiment‐styled index of the Chinese stock market, the sentiment‐styled index of the CSI 300 index futures, and the return of the CSI 300 index futures market are studied in this paper.     

股指成分股调整与企业投资效率

为了研究股指成分股调整对投资效率的影响,把2007年6月至2019年6月沪深300指数共25次调整的成分股作为处理组,以同期每次调整公布的备选股作为控制组,构建双重差分模型。研究结果表明,指数调整之后,与备选股公司相比被调入为成分股的公司的投资效率显著提升。进一步的异质性分析发现,成分股调整对企业投资效率的影响在非国际四大会计师事务所审计和非国企的样本组里更加显著。     

Which sentiment index is more informative to forecast stock market volatility? Evidence from China

In this paper, we investigate the predictive ability of three sentiment indices constructed by social media, newspaper, and Internet media news to forecast the realized volatility (RV) of SSEC from in- and out-of-sample perspectives. Our research is based on the heterogeneous autoregressive (HAR) framework. There are several notable findings. First, the in-sample estimation results suggest that the daily social media and Internet media news sentiment indices have significant impact for stock market volatility, while the sentiment index built by traditional newspaper have no impact. Second, the one-day-ahead out-of-sample forecasting results indicate that the two sentiment indices constructed by social media and Internet media news can considerably improve forecast accuracy. In addition, the model incorporating the positive and negative social media sentiment indices exhibits more superior forecasting performance. Third, we find only the sentiment index built by Internet media news can improve the mid- and long-run volatility predictive accuracy. Fourth, the empirical results based on alternative prediction periods and alternative volatility estimator confirm our conclusions are robust. Finally, we examine the predictability of the monthly sentiment indices and find that the two sentiment indices of social media and Internet media news contain more informative to forecast the monthly RV of SSEC, CSI800, and SZCI, however invalid for CSI300.     

Does stock market index adjustment affect environmental information disclosure? Evidence from China

This study empirically investigated the effect of adjustment of the China Securities Index 300 (CSI 300) on environmental information disclosure (EID) by index constituents, based on propensity score matching and difference-in-difference approaches. The results showed that the inclusion in the CSI 300 significantly improved the quality of EID by firms. Moreover, this positive impact was more pronounced among firms with lower agency costs and those located in regions with a stronger legal environment. Further testing of the mediating mechanism revealed that becoming an index constituent served to curb opportunistic behavior by managers arising from shortsightedness. Our results were valid after addressing the potential endogeneity between index adjustment and EID and remained unchanged in various other robustness tests. The findings provide support for the positive impact of stock market index adjustment on non-financial information disclosure and have practical implications for decision-making regarding EID in China and other emerging markets.     

股指期货到期日效应在中国存在吗

本文选取1分钟高频数据作为研究对象,采用带有虚拟变量的自回归模型对沪深300股指期货合约是否具有到期日效应展开实证研究。研究的主要结论有：第一,股指期货合约到期日时,现货市场并没有出现交易量异常放大的现象,反而在到期日的最后两个小时,现货市场的交易量出现异常减少的现象;第二,股指期货合约到期日时,现货市场的波动率并没有出现异常的变化。由以上两个结论来看,沪深300股指期货合约并没有出现所谓的到期日效应,这与我国设计合理的交割结算价确定机制以及特殊的期货市场投资者结构有关。     

沪深300股指期货与现货市场的非线性信息溢出与价格发现功能研究

采用线性与非线性Granger因果检验、协整检验和VECM模型,研究了沪深300股指期货和现货市场的线性与非线性信息溢出,并检验了期货市场的价格发现功能发挥情况。研究结果显示:线性信息溢出方面,沪深300股指期货市场对现货市场只有线性均值信息溢出,现货市场对期货市场只存在线性方差信息溢出;非线性信息溢出方面,两个市场之间不存在非线性均值信息溢出,不过二者之间存在显著的非线性方差信息溢出;沪深300股指期、现货市场之间存在着长期均衡的关系,不过不同于成熟市场中期货市场在价格发现方面居于主导地位的结论,我国股指现货市场在价格发现方面占主导地位,而期货市场处于从属地位。