Effect of corporate disclosure and press media on market liquidity: Evidence from Japan

News on corporate information can enhance clarity or add to confusion for market participants, especially investors. We explore how two diverse types of information dissemination —corporate disclosure and media coverage—influence stock market liquidity by mediating information asymmetries. We conclude that the two information inflows have notable and distinct impacts on liquidity. Our chief finding suggests that information from corporate disclosures induces a wider bid-ask spread, consistent with increased information asymmetries among investors. In contrast, we find that press media coverage—both good and bad news—improves liquidity. This indicates that mass media is a critical channel that provides investors with news to mitigate information uncertainty. Further, this media effect is partly driven by original journalism coverage and assistance for investors' information assimilation. Finally, in the case of stocks in which retail investors' participation is greater, the liquidity-improving effect of mass media is more prominent.     

Bad beta good beta,state‐space news decomposition and the cross‐section of stock returns

This study employs an innovative market‐based approach, where return on equity (ROE) is employed as a proxy for cash‐flow news and a state‐space model is used for market news decomposition. We document that the bad beta good beta (BBGB) model of Campbell and Vuolteenaho (2004) explains about 30 per cent of the cross‐sectional variations in US stock returns. We also find that the BBGB model adequately explains the size effect leading to its superior performance in this area. Our method controls for the news decomposition method and market news proxies’ bias. We contribute to the literature by providing an alternative easy‐to‐implement and consistent market‐based method for news decomposition.     

Does Limited Attention Constrain Investors’ Acquisition of Firm‐specific Information?

According to the framework outlined in Peng and Xiong ( 2006 ), attention‐constrained investors tend to process more market‐ and sector‐level information. We empirically test this theory. We find that firms with higher media coverage have lower contemporaneous stock return synchronicity. Such an effect is robust to analyses within size deciles, inclusion of firm fixed effects, estimation using a matched sample, and a two‐stage least squares approach. The effect becomes less pronounced during the financial crisis period when both the quantity and quality of firm‐specific information decrease. Further, the attention from media coverage has a spillover effect on the firm's industry peers without media coverage. Finally, investors of firms with higher media coverage are more efficient in incorporating future firm performance into current stock prices. Collectively, our findings support the theory in Peng and Xiong ( 2006 ) that investors increase their acquisition of firm‐specific information when a firm captures their attention.     

Who Writes the News? Corporate Press Releases during Merger Negotiations

Firms have an incentive to manage media coverage to influence their stock prices during important corporate events. Using comprehensive data on media coverage and merger negotiations, we find that bidders in stock mergers originate substantially more news stories after the start of merger negotiations, but before the public announcement. This strategy generates a short‐lived run‐up in bidders' stock prices during the period when the stock exchange ratio is determined, which substantially impacts the takeover price. Our results demonstrate that the timing and content of financial media coverage may be biased by firms seeking to manipulate their stock price.     

Analyst Forecasts and the Cross Section of European Stock Returns

We examine revisions to earnings forecasts by equity analysts and their role in predicting stock returns. We provide evidence that European stocks with net upward revised forecasts earn higher future returns than otherwise similar stocks. This effect is not concentrated in small stocks, stocks with low analyst coverage, or stocks with low book‐to‐market ratios. We find differences in the return continuation patterns of stocks with upward versus downward revisions, namely, bad news travels quickly, but good news travels slowly. This result is consistent with investors' attaching greater significance to poor earnings forecasts, but adopting a wait‐and‐see approach to good news.     

媒体报道、澄清公告与上市公司股价

基于214家上市公司2013年1月至2015年5月的数据,利用事件研究法和回归分析方法,探索上市公司按规定发布澄清公告是否有效果,并对澄清公告、媒体报道与股价间的关系进行研究.结果发现:许多公司未按照规定澄清;市场对利好性质的传闻、否定态度的公告更关注;在否定利好传闻的公告中,内容规范的澄清公告澄清效果更好;在否定利空传闻的公告中,字数多的澄清公告澄清效果更好;同时肯定了媒体对企业澄清的监督作用及稳定股价的作用.     

Social media information dissemination and corporate bad news hoarding

This paper investigates the role of social media in mitigating corporate bad news hoarding from a stock price crash risk perspective. Using a sample of public listed firms from 2008–2019, we find that social media (Guba) posts could significantly reduce firms’ stock price crash risks in the Chinese stock market. Furthermore, we find that the information intermediation function and complementary corporate governance function enable Guba to achieve such an effect. In addition, investor attention mediates the relationship between Guba posts and management withholding bad news. Our result still holds after a series of robustness checks, including an RDD approach.     

Selective Publicity and Stock Prices

I examine how media coverage of good and bad corporate news affects stock prices, by studying the effect of investor relations (IR) firms. I find that IR firms “spin” their clients' news, generating more media coverage of positive press releases than negative press releases. This spin increases announcement returns. Around earnings announcements, however, IR firms cannot spin the news and their clients' returns are significantly lower. This pattern is consistent with positive media coverage increasing investor expectations, creating disappointment around hard information. Using reporter connections and geographical links, I argue that IR firms causally affect both media coverage and returns.     

STOCK MARKET REACTION TO GOOD AND BAD INFLATION NEWS

This article shows that differentiating between good and bad inflation news is important to understanding how inflation affects stock market returns. Summing positive and negative inflation shocks as in previous studies tends to wash out or mute the effects of inflation news on stock returns. More specifically, we find that, depending on the economic state, positive and negative inflation shocks can produce a variety of stock market reactions. We conclude that the effect of inflation on stock returns is conditional on whether investors perceive inflation shocks as good or bad news in different economic states.     

Does media coverage deter firms from withholding bad news? Evidence from stock price crash risk

Spurred by the informational and disciplinary roles that the media fulfils, this study provides initial evidence on how higher media coverage is associated with a lower tendency of firms withholding bad news, proxied by stock price crash risk. Our main findings are robust to a battery of tests that account for endogeneity concerns including a difference-in-differences analysis based on newspaper closures that exogenously reduce media coverage and a regression-discontinuity design analysis based on the top band of Russell 2000 and lower band of Russell 1000 index stocks. Additional tests reveal that the negative relation between media coverage and stock price crash risk is concentrated within firms with more negative and novel news coverage and firms with higher litigation or reputation risks. We also find that media plays an important role in reducing future stock price crash risk when there is reduced monitoring by other external monitoring mechanisms such as external auditors, financial analysts, and institutional shareholders.     

News or Noise? Using Twitter to Identify and Understand Company‐specific News Flow

This study presents a methodology for identifying a broad range of real‐world news events based on microblogging messages. Applying computational linguistics to a unique dataset of more than 400,000 S&P 500 stock‐related Twitter messages, we distinguish between good and bad news and demonstrate that the returns prior to good news events are more pronounced than for bad news events. We show that the stock market impact of news events differs substantially across different categories.     

Does social media coverage deter firms from withholding bad news? Evidence from stock price crash risk

Using a comprehensive dataset for listed companies between 2010 and 2020, we document that social media coverage can reduce managers' incentives and capabilities to withhold bad news (i.e., reduce stock price crash risk). The results remain robust in the test of solving endogenous problems. Compared with other external governance mechanisms (other media sources, external auditors, financial analysts, and institutional shareholders), social media coverage plays a complementary role in reducing stock price crash risk when there is increased monitoring by other external monitoring mechanisms. Additional tests show that social media coverage reduces crash risk when managers have greater incentives to hoard bad news.     

Asymmetric effects of voluntary disclosure on stock liquidity: evidence from 8‐K filings

This paper examines whether the change in stock liquidity subsequent to voluntary disclosure is different between good news and bad news. Using voluntary 8‐K filings, we find that the increase in stock liquidity is more pronounced for firms with good news disclosure than for firms with bad news disclosure. In addition, such findings are stronger when a firm is less visible and when the short‐selling costs are high, suggesting that these two factors play an important role in increasing stock liquidity. Overall, this paper provides evidence that the tone of voluntary 8‐K news is an important determinant of stock liquidity.     

When Good News Is Not So Good: Economy‐wide Uncertainty and Stock Returns

This paper shows that variation in economy‐wide uncertainty causes asymmetric stock price responses to firm earnings surprises. The uncertainty that attends bad earnings news that arrives during expansions with greater economy‐wide uncertainty occasions larger price declines. This is because news inconsistent with investors’ prior beliefs about the state of the economy increases uncertainty, which amplifies the negative cash flow effects contained in bad earnings news. Asymmetrically, the positive cash flow effect of good earnings news that arrives during recessions is offset by increased investor uncertainty, which results in relatively smaller price reactions to the good news. This is consistent with Veronesi's rational expectations equilibrium model, which shows that investors demand higher expected returns in the face of greater uncertainty.     

Repairing damaged reputations through targeted poverty alleviation: Evidence from private companies’ strategies to deal with negative media coverage

When negative media coverage causes reputational crises, companies must find suitable tools to repair their reputation and reverse their negative image. As a CSR activity with political- and livelihood-related implications, targeted poverty alleviation may be an effective tool. Using data on negative media coverage of Chinese A-share private listed companies, we examine whether companies engage in targeted poverty alleviation in response to reputational crises caused by negative media coverage. We find that negative media coverage leads private companies to engage more actively and intensively in targeted poverty alleviation because of the significant increase in public attention to the bad news. These companies must urgently rebuild their positive image using targeted poverty alleviation to resolve their public opinion crisis. Further analyses suggest that original and in-depth negative media coverage is more likely to cause companies’ active participation in targeted poverty alleviation. In addition, negative media coverage is more likely to lead companies to engage in targeted poverty alleviation when they are in heavily polluting industries or face greater pressure from external investors. Finally, we find that active involvement in targeted poverty alleviation helps companies improve their market reputation and thus effectively manage public relations crises caused by negative media coverage.     

Voluntary Disclosures,Corporate Control,and Investment

We examine the valuation and capital allocation roles of voluntary disclosure when managers have private information regarding the firm’s investment opportunities, but an efficient market for corporate control influences their investment decisions. For managers with long‐term stakes in the firm, the equilibrium disclosure region is two‐tailed: only extreme good news and extreme bad news is disclosed in equilibrium. Moreover, the market’s stock price and investment responses to bad news disclosures are stronger than the responses to good news disclosures, which is consistent with the empirical evidence. We also find that myopic managers are more likely to withhold bad news in good economic times when markets can independently assess expected investment returns.     

Media Coverage and the Cross-section of Stock Returns

By reaching a broad population of investors, mass media can alleviate informational frictions and affect security pricing even if it does not supply genuine news. We investigate this hypothesis by studying the cross-sectional relation between media coverage and expected stock returns. We find that stocks with no media coverage earn higher returns than stocks with high media coverage even after controlling for well-known risk factors. These results are more pronounced among small stocks and stocks with high individual ownership, low analyst following, and high idiosyncratic volatility. Our findings suggest that the breadth of information dissemination affects stock returns.     

上海股票市场波动的非对称性和杠杆效应研究

基于人们对股票市场波动"利好"利坏"消息反应程度的不同,本文利用国外证券市场比较成熟的非对称ARCH族理论,对我国上海股票市场建立了ARCH、TARCH、EGARCH模型进行实证检验分析,得出上海股票市场的波动具有非对称性和杠杆效应,坏消息会导致比好消息更大波动性的结论。     

Modeling the Conditional Covariance Between Stock and Bond Returns: A Multivariate GARCH Approach

To analyze the intertemporal interaction between the stock andbond market returns, we assume that the conditional covariancematrix follows a multivariate GARCH process. We allow for asymmetriceffects in conditional variances and covariances. Using dailydata, we find strong evidence of conditional heteroskedasticityin the covariance between stock and bond market returns. Theresults indicate that not only variances, but also covariancesrespond asymmetrically to return shocks. Bad news in the stockand bond market is typically followed by a higher conditionalcovariance than good news. Cross asymmetries, that is, asymmetriesfollowed from shocks of opposite signs, appear to be importantas well. Covariances between stock and bond returns tend tobe relatively low after bad news in the stock market and goodnews in the bond market. A financial application of our modelshows that optimal portfolio shares can be substantially affectedby asymmetries in covariances. Moreover, our results show sizablegains due to asymmetric volatility timing.     

Sensitivity to sentiment: News vs social media

We explore the rapidly changing social and news media landscape that is responsible for the dissemination of information vital to the efficient functioning of the financial markets. Using the sheer volume of social and news media activity, commonly known as buzz, we document three distinct regimes. We find that between 2011 and 2013 the news media coverage stimulates activity in social media. This is followed by a transition period of two-way causality. From 2016, however, changes in levels of social media activity seem to lead and generate news coverage volumes. We uncover similar evolution of lead-lag pattern between sentiment measures constructed from the tonality contained in textual data from social and news media posts. We discover that market variables exert stronger impact on investor sentiment than the other way around. We also find that return responses to social media sentiment almost doubled after the transition period, while return responses to news-based sentiment almost halved to its pre-transition level. The linkage between volatility and sentiment is much more persistent than that between returns and sentiment. Overall, our results suggest that social media is becoming the dominant media source.