企业ESG与资本市场表现——来自股票流动性的证据

在经济社会发展绿色化、低碳化态势下,ESG理念在资本市场中的地位日益凸显。文章基于2015—2021年我国A股上市公司数据,研究ESG表现对企业股票流动性的影响。研究发现,ESG表现显著提升了企业股票流动性,该效应在国有企业、大规模企业以及市场化程度较高的地区企业中更显著。机制分析表明,企业ESG有利于提升投资者情绪和信息透明度,进而促进股票流动性。进一步研究发现,企业良好ESG表现所带来的股票流动性显著提升了企业价值和企业创新。发掘企业ESG在金融市场的作用效果,为活跃资本市场提供新的经验证据。

Investor sentiments and stock marketsduring the COVID-19 pandemic

This study examines the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using variousmethods, including panel regression with fixed effects, panel quantile regressions, apanel vector autoregression (PVAR) model, and country-specific regressions. We proxyfor negative and positive investor sentiments using the Google Search Volume Indexfor terms related to the coronavirus disease (COVID-19) and COVID-19 vaccine, respectively. Using weekly data from March 2020 to May 2021, we document significantrelationships between positive and negative investor sentiments and stock marketreturns and volatility. Specifically, an increase in positive investor sentiment leads toan increase in stock returns while negative investor sentiment decreases stock returnsat lower quantiles. The effect of investor sentiment on volatility is consistent acrossthe distribution: negative sentiment increases volatility, whereas positive sentimentreduces volatility. These results are robust as they are corroborated by Granger causalitytests and a PVAR model. The findings may have portfolio implications as they indicatethat proxies for positive and negative investor sentiments seem to be good predictorsof stock returns and volatility during the pandemic.

Investor Sentiment and Cross-Sectional Return after Share Issuance:Evidence from Seasonal Equity Offering in China Market

Our research on private placement of equity on China capital market reveals that firms prefer to equity financing when their stock price is overvalued and investor sentiment is high,following the market timing hypothesis.However,after private issuance,we document a significant positive abnormal return within three years.We believe firms choose to polish their financial statement before the exit of institutional investors and controlling shareholders.Through manipulation of discretional accruals,firms improve the profitability and market valuation,and help institutional investors and controlling shareholders obtain the abnormal return after private placement of equity.Nevertheless,such manipulation cannot be sustained and will do harm to other investors in the long-term.

An empirical examination of investor sentiment and stock market volatility: evidence from India

Understanding the irrational sentiments of the market participants is necessary for making good investment decisions.Despite the recent academic effort to examine the role of investors’sentiments in market dynamics,there is a lack of consensus in delineating the structural aspect of market sentiments.This research is an attempt to address this gap.The study explores the role of irrational investors’sentiments in determining stock market volatility.By employing monthly data on market-related implicit indices,we constructed an irrational sentiment index using principal component analysis.This sentiment index was modelled in the GARCH and Granger causality framework to analyse its contribution to volatility.The results showed that irrational sentiment significantly causes excess market volatility.Moreover,the study indicates that the asymmetrical aspects of an inefficient market contribute to excess volatility and returns.The findings are crucial for retail investors as well as portfolio managers seeking to make an optimum portfolio to maximise profits.

A Study on Interaction between Investor Sentiments, China＇ s Monetary Policy and Stock Market

This paper builds the structure of the vector autoregression( SVAR) model short-term constraints and studies the interactive mechanism of investor sentiment,monetary policy and stock market from 2008 to 2016. The result finds that investor sentiment, currency liquidity and stock market gains a significant asymmetric effect. First,the interaction effects of investor sentiment and stock market are positive feedback mechanism, and investor sentiment significantly affects the stock market in the short term. Furthermore,monetary policy and stock market has a positive role in promoting each other. Finally, investor sentiment shows negative feedback mechanism of monetary policy.

投资者情绪、股票流动性与股价泡沫——基于GASDF检验法的分析

股价泡沫严重影响资本市场健康运行,而投资者情绪和市场流动性是影响泡沫膨胀和破灭的重要因素。为探究二者对股价泡沫的作用机制,本文选取上证行业指数,通过动态因子分析法,将百度指数等网络社交媒体数据与换手率等传统情绪代理变量相结合,构建多个行业的投资者情绪指标。随后基于广义右尾单位根(Generalized Sup-ADF,GSADF)检验法,检测了不同行业的泡沫,并运用面板Logit模型和中介效应检验方法,进一步分析了投资者情绪、流动性与行业股价泡沫之间的关系。实证分析及稳健性检验结果均表明,投资情绪与流动性对股价泡沫的存在性具有显著的正向作用,投资者情绪可以通过促进流动性的提升,导致股价泡沫产生的可能性的进一步提高。研究结论对于防范股价泡沫风险具有重要启示,为监管者对加强市场情绪监管提供相关理论依据。

Overreaction and Availability Bias: Analysis of Real Estate Sector’s Stock Prices and Investors’ Reaction during Demonetisation in India

The stock market is full of events that affect the sensitivity reaction of investors at a large scale. Individual investor sentiment is just like his/her personal feeling depending upon their nature, risk appetite, and market scenario. This research study investigates the investors’ reaction in the stock market for the real estate segment during the massive market crisis in developing countries. Demonetisation of 2016 in India has been taken with the purpose of implementing a pilot study to analyse the overreaction and availability bias. The primary focus was on analysing how the investors react on the information of demonetisation and their pattern of investment in the stock market with a special emphasis on real estate sector where the effect of the event had dramatically changed the stock prices. Therefore, a pre- and post- analysis had been conducted to gauge the prices, sensitivity, and reaction of investors in the stock market. The reaction of the citizens after these events was found to be drastically affected. Five real estate companies had been focused upon in this study to examine the impact of investors’ overreaction owing to the demonetisation and their investment pattern for stocks during pre- and post- demonetisation period at that timeframe. The analysis was done on a shorter period of time so that the impact of overreaction and availability bias can be critically analysed. The paper thus exhibits how investor sentiments and reaction for stock preference had changed over time through statistical study.

基于GARCH-MIDAS的混频投资者情绪对股市波动的影响

采用广义自回归条件异方差的混频数据抽样模型(GARCH-MIDAS)研究投资者情绪对中国股市收益率波动的影响。实证结果表明:与投资者关注、经济政策不确定性相比,投资者情绪在单因子GARCH-MIDAS模型中优度最佳,对市场波动产生显著的正向影响,并能够解释A股中较高比例的长期波动;投资者关注对市场波动产生显著的正向影响;经济政策不确定性对A股的影响不显著。此外,投资者情绪与投资者关注组合时的双因子GARCH-MIDAS模型可以得出与单因子模型一致的结论,在模型中合理地选取解释变量进行组合可以提高模型对股市波动的解释能力。GARCH-MIDAS模型有效地解决了投资者情绪与股市波动率数据频率不一致的问题,为股市波动率影响因素的研究提供了新的研究视角。

Can Twitter Sentiment Gives the Weather of the Financial Markets?

Finance 3.0 is still in its infancy.Yet big data represents an unprecedented opportunity for finance.The massive increase in the volume of data generated by individuals every day on the Internet offers researchers the opportunity to approach the question of financial market predictability from a new perspective.In this article,we study the relationship between a well-known Twitter micro-blogging platform and the Tunisian financial market.In particular,we consider,over a 12-month period,Twitter volume and sentiment across the 22 stock companies that make up the Tunindex index.We find a relatively weak Pearson correlation and Granger causality between the corresponding time series over the entire period.

China's New Tax System Benefits Foreign Investors

To meet the requirements of a socialist market economy and overcome the inherent sharp contradictions of the former taxation system, China began reforming the structure of its tax system this year. The structural reform has been carried out under theguidelines of unifying the tax law, creating equal treatment, simplifying the tax system, building up a rational tax revenue sharing system, redressing distribution relationships, standardizing the mode

基于经验模态分解与投资者情绪的Attention-BiLSTM股价趋势预测模型

股票价格的变动是投资者在股票市场关注的焦点,所以股价趋势预测一直是量化投资研究的热门话题。传统的机器学习预测模型难以处理非线性、高频率、高噪声的股价时间序列,使得股票价格趋势的预测精度低。为了提高预测精度,针对股票价格数据的时序性特征,提出用结合经验模态分解(EMD)、投资者情绪和注意力机制的双向长短期记忆神经网络来对股票价格进行涨跌预测。首先使用经验模态分解算法提取股票价格时间序列在不同时间尺度上的特征,并通过构建金融情感词典来提取上一个股票交易日收盘后至下一个交易日开盘前文本的投资者情绪指标,最后使用注意力机制优化的BiLSTM模型对下一个股票交易日进行涨跌预测。在股票价格序列的数据集上进行实验,结果表明,改进后的BiLSTM模型较改进前的BiLSTM模型,准确率从58.50%提升至71.26%;预测为涨的精确率从58.20%提升至70.06%,预测为跌的精确率从59.34%提升至72.36%;预测为涨的召回率从59.85%提升至73.41%,预测为跌的召回率从57.73%提升至69.11%;预测为涨的F1值从58.60%提升至71.61%,预测为跌的F1值从58.08%提升至70.53%;最终通过与长短期记忆(LSTM)网络、基于Attention机制的LSTM(Attention-LSTM)、支持向量机(SVM)、极端梯度提升(XGBoost)等4种典型的股价涨跌预测模型结果对比,验证了所提模型的准确有效性。

Why Do Foreign Investors Favor China's Market

China has led developing countries in direct foreign investment for eight consecutive years, with an inflow of more than US$40 billion of international capital annually. China has become a real hotspot of investment favored by worldwide investors. What is the role foreign investment has played in China’s economic development over the past years? According to an analysis report recently released by the National Information Center, during the two decades between 1980-99, of the 9.7-percent average annual growth rate of the GDP, 2.7 percentage points were contributed directly or indirectly by foreign capital utilization. 1. How Does Foreign Capital Stimulate China’s Economic Growth?

压力还是监督:机构投资者调研与企业金融化

基于2013—2021年深交所A股上市公司面板数据,从监督效应和压力效应两种竞争视角,考察机构投资者调研对企业金融化的影响。结果表明,机构投资者调研对企业金融化具有正向影响。划分金融资产配置结构后发现,机构投资者调研能够促进企业配置“蓄水池”类金融资产,抑制企业配置“投资替代”类金融资产,这说明机构投资者调研对企业金融资产配置具有监督效应。进一步研究发现,融资约束较低、代理成本较高的企业,机构投资者调研对其金融资产配置的监督效应更强;机构投资者调研对金融资产配置的监督效应有助于提高企业全要素生产率。研究结果对有关部门完善投资者关系管理,借助市场手段改善“脱实向虚”问题提供了可行依据。

投资者情绪的发展与研究前沿--基于WOS的知识图谱分析

运用精确检索与截词检索的方式构建检索策略,对Web of Science核心合集中投资者情绪相关文献进行汇总,借助文献计量工具Citespace对该领域内的文献进行研究。借助学科分析、文献凸显分析、共被引分析以及时间线分析的方式结合软件自动生成的引文报告中的被引频次、爆发力度、中介中心性以及Sigma值等指标进行分析。对投资者情绪领域内重要文献所构成的知识基础以及研究前沿进行总结,厘清该领域的发展脉络并为未来研究提供方向。

经济政策不确定性、投资者情绪与银行系统性风险传染

面对经济政策不确定性和投资者情绪,银行业需承担应对经济衰退、化解银行风险和实现经济高质量稳定增长的责任。本文利用MVMQ-CAViaR模型测度了2008—2021年所有上市银行的系统性风险,构建面板门限回归模型和面板平滑转换模型,研究在投资者情绪转换作用下经济政策不确定性影响银行系统性风险多重传染的边际效应结构变化。研究表明:投资者情绪具有显著的区制转换效应,使经济不确定性影响银行系统性风险多重传染的净边际效应,以指数转换模式发生结构变化。据此提出正确处理经济政策不确定性与银行系统性风险的关系,投资者要保持理性情绪以及监管部门要加强监管的建议。

政策不确定性的市场效应:基于错误定价视角

中国经济转型过程中,政府通过制定和实施经济政策对经济发展发挥积极推动作用,但政策调整潜在的不确定性可能对资产价格产生影响。采用2003—2020年沪深A股上市公司季度数据实证研究政策不确定性对股票错误定价的影响及其作用机制。结果表明,政策不确定性上升总体上倾向于修正股票错误定价,且高估样本和低估样本呈现明显的非对称性:政策不确定性上升将修正高估股票的错误定价,而加剧低估股票的错误定价。投资者情绪和市值管理是主要作用机制,且投资者情绪机制占主导作用。进一步考察异质性的结果表明,政策不确定性对股票错误定价的影响主要表现在2007年之后、民营企业和规模较小的企业;货币和财政两类内部政策不确定性均会增大高估股票的错误定价程度,减小低估股票的错误定价程度,而贸易和汇率与资本项目两类外部政策不确定性的影响则相反。因此,需要充分认识预期管理在金融市场监管中的重要性,关注政策不确定性对资产错误定价的影响;科学制定经济政策调整的时间窗口,降低政策变动潜在的不确定性,缓解其对资产价格的影响。

公司股利迎合行为:研究述评与展望

股利政策是上市公司财务决策的重要内容,基于行为金融学视角分析公司股利迎合行为具有重要的理论意义和实践意义。从内涵、动机、表现和经济后果等方面系统梳理并评述了公司股利迎合行为的现有研究成果,并提炼了需要进一步着重研究的问题。首先,结合投资者非理性股利偏好,厘清和归纳了投资者非理性行为的内涵和衡量方法。其次,从动机、影响因素、回购场景等方面总结了公司的现金股利迎合行为,并结合股票拆分、高送转等多种方式归纳了公司的股票股利迎合行为。再次,从市场反应、信息质量、未来业绩、公司风险等角度阐释了公司股利迎合行为的经济后果。最后,从投资者非理性股利情绪指标的构建、现金股利迎合中的委托代理问题、股票股利迎合行为的差异性以及互联网环境下公司股利迎合的经济后果等多个方面指出了关于公司股利迎合行为的未来研究方向,为后续的理论研究和监管政策的优化完善提供了指引和启示。

基于深度学习的投资者情绪挖掘及其对股价崩盘风险的影响

本文基于网络爬虫挖掘东方财富股吧中个股的发帖文本,搭建卷积神经网络和长短时记忆神经网络特征融合模型(LSTM-CNN),对样本股的股吧发帖文本进行情感识别,构建投资者情绪指标并分析了其对股价崩盘风险的影响效应及其机制。实证发现,当期投资者情绪对下一期股价崩盘风险存在显著的正向影响效应,投资者情绪高涨加剧了未来股价崩盘风险;不同市场环境下,情绪对股价崩盘风险影响具有不对称性,熊市状态下投资者情绪对崩盘风险的正向影响效应更为明显。进一步的异质性分析表明,规模较小、股权集中度较低、卖空限制大、公司所在地市场化水平低的样本公司中投资者情绪对股价崩盘风险的影响更为明显。此外,我们发现股票流动性是投资者情绪影响股价崩盘风险的一个重要的中介变量。研究结论有助于从投资者情绪视角来解释股价崩盘风险的形成机理,丰富了对股价崩盘风险影响因素的认识。