How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches

This paper examines the dynamic relationship between firm-level return volatility and public news sentiment. By using the new RavenPack News Analytics ⿿ Dow Jones Edition database that captures over 1200 types of firm-specific and macroeconomic news releases and their sentiment scores at high frequencies, we investigate the circumstances in which public news sentiment is related to the intraday volatility of the constituent stocks in the Dow Jones Composite Average (DJN 65). Two different conditionally heteroskedastic models are employed: the Fractionally Integrated Generalized Autoregressive Conditionally Heteroskedastic (FIGARCH) and the two-state Markov Regime-Switching GARCH (RS-GARCH) models. For most of the DJN 65 stocks, our results confirm the significant impact of firm-specific news sentiment on intraday volatility persistence, even after controlling for the potential effects of macroeconomic news. Compared with macroeconomic news sentiment, firm-specific news sentiment apparently accounts for a greater proportion of overall volatility persistence. Moreover, negative news has a greater impact on volatility than positive news. Furthermore, the results from the RS-GARCH model indicate that news sentiment accounts for a greater proportion of volatility persistence in the high-volatility regime (turbulent state) than in the low-volatility regime (calm state). In-sample forecasting performance and residual diagnostic tests suggest that FIGARCH generally outperforms RS-GARCH.     

How do “gatekeepers” affect credit risk?

This study investigates the relationship between auditor tenure and credit default swap (CDS) spreads of U.S. firms based on quantile regression. After allowing for common determinants of CDS spreads, auditor tenure exerts both statistically and economically significant additional impacts on the CDS market. Furthermore, there are differential effects of common CDS spread determinants and auditor tenure. While common determinants of CDS spreads (e.g., leverage, volatility, risk free rate, credit ratings, and earnings) have monotonically increasing impacts when CDS spreads (and their changes) are increasingly higher, auditor tenure primarily has the impact when CDS spreads are of low or median levels for less risky firms.     

Credit default swaps and sovereign debt markets

This study investigates the link between the price discovery dynamics in sovereign credit default swaps (CDS) and bond markets and the degree of financial integration of emerging markets. Using CDS and sovereign bond spreads, the price discovery mechanism was tested using a vector error correction model. Financial integration is measured using news-based methods. We find that sovereign CDS and bond markets are co-integrated. In five out of seven sovereigns (71%), the bond market leads in price discovery by adjusting to new information regarding credit risk before CDS. In 29% of times, CDS markets are the source of price discovery. We also find a positive correlation of 0.67 between the degree of financial integration and the bond market information share. The evidence suggests that changes in sovereign credit risk and bond yields are significantly influenced by common external (global) factors, while country-specific factors play an insignificant role.     

The impact of central clearing on the market for single-name credit default swaps

In this article, we revisit the impact of the voluntary central clearing scheme on the CDS market. In order to address the endogeneity problem, we use a robust methodology that relies on dynamic propensity-score matching combined with generalized difference-in-differences. Our empirical findings show that central clearing results in a small increase in CDS spreads (ranging from 14 to 19 bps), while there is no evidence of an associated improvement in CDS market liquidity and trading activity or of a deterioration in the default risk of the underlying bond. These results suggest that the increase in CDS spreads can be mainly attributed to a reduction in CDS counterparty risk.     

Systemic risk in European financial and energy sectors: Dynamic factor copula approach

We perform an analysis of systemic risk in financial and energy sectors in Europe using daily time series of CDS spreads. We employ the factor copula model with GAS dynamics from Oh and Patton (2018) for the purpose of estimating dependency structures between market participants. Based on the estimated models, we perform Monte Carlo simulations to obtain future values of CDS spreads, and then measure the probability of systemic events at given time points. We conclude that substantially higher systemic risk is present in the financial sector compared to the energy sector. We also find that the most systemically vulnerable financial and energy companies come from Spain.     

Information asymmetry,sentiment interactions,and asset price

We develop an asset pricing model with sentiment interactions between institutional and individual investors under the condition of information asymmetry. Our model considers private information and investor sentiment, two imperfections in securities markets, and integrates them into a theoretical model to investigate the role of the interaction between information asymmetry and investor sentiment in asset pricing. We show that the joint effect of private information and investor sentiment deviate the price of risky assets and efficiently explains anomalies in the stock market. Investor sentiment changes the effect of information on the equilibrium price relative to a world where all investors are completely rational. Private information changes the effect of investor sentiment on the equilibrium price in comparison with a scenario with symmetric market information. In addition, the individual investors’ learning and the disclosure of information both allow private information to be better integrated into the price and simultaneously changes the effect of investor sentiment on the equilibrium price.     

Media Content,Accounting Quality,and Liquidity Volatility

We examine how the linguistic content of news items affects the volatility of a firm's liquidity, and we consider whether accounting quality moderates the media content-liquidity volatility relation. Regarding the unconditional relation between media content and liquidity volatility, one view is media content could reduce liquidity volatility by providing additional information about fundamental values; another view is it could increase liquidity volatility by increasing investor uncertainty, particularly for negative news. Using data from Thomson Reuters News Analytics, we find evidence supporting the view that media content, positive and negative, has incremental information. Regarding the moderating role of accounting quality, pre-existing accounting information of higher quality could enhance investors' reactions to media content by providing a more precise baseline, or it could reduce investors' reactions to the news if investors anchor on higher quality financial statements. Our findings are consistent with more credible accounting information serving an anchor role, and suggest that investors condition their reaction to media content based on the quality of a firm's pre-existing accounting information.     

Overnight stock returns,intraday returns,and firm-specific investor sentiment

In this study, we propose a new index for measuring firm-specific investor sentiment using overnight and intraday stock returns. We use actual equity data to construct the firm-level investor sentiment index and find that the new index has characteristics expected of a sentiment measure. In addition, we propose a novel sentiment-weighted trading strategy and apply it to momentum and short-term reversal strategies. We find that the sentiment-weighted trading strategy generates better performance in momentum and short-term reversal strategies. The sentiment-weighted trading strategy’s superior performance is evidence that our firm-level investor sentiment index possesses predictive powers with regard to future returns.     

Heterogeneous relationship between IPO return and risk across idiosyncratic variance characteristics

This paper analyzes the levels and changes in the post-IPO stock return volatility and provides insights into market responses to the presence of firm-specific risk. First, we document a negative relation between initial idiosyncratic volatility level and the post-IPO volatility change in that initially low volatility firms have more volatility increase and vice verse. This evidence suggests fundamental firm-specific changes after the IPO. Further, we find that underpricing and short-run post-IPO returns are positively related to the initial and corresponding idiosyncratic risk level. This finding suggests that underpricing compensates investors for acquiring costly information and firm-specific risk information is being incorporated into offer prices. Finally, we find that higher long-run post-IPO performance is related to both lower initial risk level and decreasing risk in the first year after the IPO.     

Do voluntary disclosures of bad news improve liquidity?

Can managers improve market liquidity and lower the cost of capital by providing voluntary earnings guidance? This study examines the impact of profit warnings on market liquidity and finds that voluntary disclosure of bad news actually improves market liquidity. By conducting an empirical study over the period 1995–2010 on NYSE, NASDAQ and AMEX listed firms, we find that firms that issue profit warnings show enhanced market liquidity during the post-announcement period. We show that profit warnings reduce information asymmetry and lower bid-ask spreads and increase trading volumes. These results are invariant to daily (short run) and monthly (long run) data after controlling for firm specific attributes. The results have major corporate policy implications. By voluntarily disclosing negative earnings guidance by managers, firms will experience significant improvement in market liquidity, thereby lowering the cost of capital. Our results are even more profound for firms that release bad news with extremely negative stock market impact. In other words, voluntary disclosure of bad news is good for market liquidity.     

Credit risk and asymmetric information: A simplified approach

We present a simple model for risky, corporate debt. Debtholders and equityholders have incomplete information about the financial state of the debt issuing company. Information is incomplete because it is delayed for all agents, and it is asymmetrically distributed between debtholders and equityholders. We solve for the equityholders' optimal default policy and for the credit spreads required by debtholders. Delayed information accelerates the equityholders' optimal decision to default. Interestingly, this effect is small, implying only a small impact on credit spreads. Asymmetric information, however, has a major impact on credit spreads. Our model predicts high credit spreads for short-term debt, as observed empirically in credit markets.     

Daily news sentiment and monthly surveys: A mixed-frequency dynamic factor model for nowcasting consumer confidence

Policymakers, firms, and investors closely monitor traditional survey-based consumer confidence indicators and treat them as an important piece of economic information. To obtain a daily nowcast of monthly consumer confidence, we introduce a latent factor model for the vector of monthly survey-based consumer confidence and daily sentiment embedded in economic media news articles. The proposed mixed-frequency dynamic factor model uses a Toeplitz correlation matrix to account for the serial correlation in the high-frequency sentiment measurement errors. We find significant accuracy gains in nowcasting survey-based Belgian consumer confidence with economic media news sentiment.     

News and intraday jumps: Evidence from regularization and class imbalance

We study how information provokes intraday price jumps taking into account, besides news timing, the sentiment of news stories and other high-frequency indicators. By applying penalized logistic regression and addressing the rare nature of jumps, in addition to the previous evidence showing that causes of jumps are rate decisions and earnings announcements, we find that news provoking jumps is often followed by other news about the same company, that news stories sentiment and macro-surprises sign help to predict the jump sign, and, finally, that market players sometimes anticipate company-specific news.     

参数不稳定下利差在宏观经济与货币政策中的应用

本文在参数不稳定的情况下考察利差对通货膨胀、经济增长的信息作用,并分析包含利差的混合货币政策规则。基于贝叶斯区制转移模型（MSBVAR）的分析发现：期限利差和信用利差对通货膨胀、经济增长有影响,宏观经济波动使得利差的信息作用存在参数不稳定性,在经济下行时对经济增长有负向信号作用。信用利差对通胀的预测作用比期限利差对通胀的预测作用更强。期限利差和信用利差都在货币政策规则中有参数不稳定性的信息作用。     

Asymmetric determinants of corporate bond credit spreads in China: Evidence from a nonlinear ARDL model

This study utilizes the nonlinear ARDL (NARDL) model proposed by Shin, Yu, and Greenwood-Nimmo (2014) to quantify the potentially asymmetric transmission of positive and negative changes in each of the possible determinants of industry-level corporate bond credit spreads in China. The determinants we consider include the corresponding industry stock price, China’s stock market volatility, the level and slope of the yield curve (i.e., the interest rate), the industrial production growth rate, and the inflation rate. The empirical results suggest substantial asymmetric effects of these determinants on credit spreads, with the positive changes in the determinants showing larger impacts than the negative changes for most industries we consider. Moreover, the corresponding industry stock prices, the interest rate, and the industrial production growth rate negatively drive the industry credit spreads for many industries. In turn, China’s stock market volatility and the inflation rate positively affect the credit spreads at each industry level. These findings may be helpful to investors, bond issuers and policymakers in understanding the dynamics of credit risks and corporate bond rates at the industry level.     

媒体报道、会计稳健性与股价崩盘风险

新闻媒体的信息传播和监督治理功能在减少信息不对称、缓解管理者囤积坏消息等方面发挥着重要作用。以沪深A股上市公司2012—2018年非平衡面板数据为样本,通过OLS回归分析上市公司股价崩盘风险是否会受到媒体报道及会计稳健性的影响。实证结果表明,媒体报道和会计稳健性与股价崩盘风险呈显著负相关关系,会计稳健性可以强化媒体报道对股价崩盘风险的影响。进一步分析发现,媒体报道与股价崩盘风险之间的负相关主要集中在正面新闻报道较多的公司和诉讼或声誉风险较高的公司。     

The Effects of Conservative Reporting on Investor Disagreement

We examine whether the level of a firm's conditional conservatism affects investor disagreement around earnings announcement dates. Investor disagreement is relevant for its repercussions on stock market efficiency. However, the literature related to the effect of firms’ reporting policies on disagreement is scant. Prior research suggests that conservatism, by requiring higher verifiability of profits, constrains earnings overstatements and encourages more complete revelations of losses, thus improving the information environment. In this paper, we further hypothesize that these effects of conservatism enhance news credibility and decrease information asymmetry, particularly for bad news announcements. This results in a lower disagreement and improved interpretation of earnings news. We consistently find that conservatism measures are negatively associated with proxies of announcement-time investor disagreement and that this effect is stronger when the firm is reporting bad news. Additional analyses indicate that the impact of conservatism is stronger when market surprise to the announcement is greater, while it is weaker in the presence of frequent and precise voluntary disclosure that preempts the earnings announcement. Finally, we show that a higher percentage of institutional investors’ ownership and a higher level of commitment to conservatism reinforce the impact of the latter.     

Time-varying impact of monetary policy shocks on US stock returns: The role of investor sentiment

This paper investigates how monetary policy shock affects the stock market of the United States (US) conditional on states of investor sentiment. In this regard, we use a recently developed estimator that uses high-frequency surprises as a proxy for the structural monetary policy shocks, which in turn is achieved by integrating the current short-term rate surprises, which are least affected by an information effect, into a vector autoregressive (VAR) model as an exogenous variable. When allowing for time-varying model parameters, we find that, compared to the low investor sentiment regime, the negative reaction of stock returns to contractionary monetary policy shocks is stronger in the state associated with relatively higher investor sentiment. Our results are robust to alternative sample period (which excludes the zero lower bound) and model specification and also have important implications for academicians, investors, and policymakers.     

Information transmission between sovereign debt CDS and other financial factors ⿿ The case of Latin America

This paper extends previous research by investigating the intertemporal causality relationships between daily Latin America sovereign credit default swap (CDS) returns and other financial sovereign debt spread determinants. The empirical results indicate that information in sovereign CDS can both lead and lag these financial determinants. Specifically, country financial variables, including exchange rates and lending spreads, and global financial variables including 10-U.S. Treasury yields, VIX and TED spreads, are important determinants for future sovereign CDS price movements. The findings provide investment implications for international financial markets.     

Endogenous information revelation in a competitive credit market and credit crunch

In this paper, we propose a new mechanism able to explain the occurrence of credit crunches. Considering a credit market with an asymmetry of information between borrowers and lenders, we assume that borrowers have to pay a cost to reveal information on the quality of their project. They decide to be transparent if it is necessary for getting a loan or for paying a lower interest rate. Two types of competitive equilibria may exist: an opaque equilibrium in which all projects receive funding without revealing information; a transparent one in which only the best projects reveal information and receive funding. It is also possible to get multiple equilibria. Incorporating this microeconomic mechanism in an OLG model, the economy may experience fluctuations due to the change of regime, and indeterminacy may occur.