Do measurement-related fair value disclosures affect information asymmetry?

Using a sample of European real estate firms over the 2007–2010 period, this study provides some evidence that measurement-related fair value disclosures reduce information asymmetry. We find a negative association between the extent of fair value disclosures and the bid-ask spread, but no association with two additional measures of information asymmetry (zero returns and price impact). Contrary to our expectation, we fail to find evidence that firms using model estimates exclusively benefit the most from such additional disclosure. Analysing measurement errors (the absolute difference between the selling price of an asset and its fair value prior to sale), we find that firms that use model estimates exclusively and provide more measurement-related disclosures have lower errors and more accurate fair value estimates. In other words, if our lack of results is due to investors not using this additional disclosure this is to their detriment.     

Do mandatory risk factor disclosures reduce stock price crash risk?

We test whether voluntary or mandatory risk factor disclosures (RFDs) in 10-K filings is associated with a reduction in stock price crash risk. We find that the level of mandatory RFDs in 10-K filings is associated with a reduction in stock price crash risk but find no similar relationship for voluntary RFDs. We exploit two exogenous shocks to mitigate endogeneity concerns that remain to be addressed in the literature. We investigate the moderators for this relationship and find the reduction is magnified among firms with higher information asymmetry, higher litigation risk, or better corporate governance. Overall, our findings identify a potential avenue to mitigate stock price crash risk and provide evidence that mandated RFDs contain useful information content and benefit investors.     

Do bond rating changes affect the information asymmetry of stock trading?

Using a sample of 279 upgrades and 310 downgrades from 1996 to 2004, we find that bond rating changes affect the information asymmetry of stock trading and other measures of information risk. Specifically, when a firm's bond rating is upgraded, its stock information asymmetry and its analysts' earnings forecast dispersion are significantly reduced, while the institutional equity holdings of its shares are significantly increased. The reverse is true for a downgrade. In addition, the degree of change in stock information asymmetry is positively associated with the magnitude of the bond rating changes.     

Does option trading convey stock price information?

After executing option orders, options market makers turn to the stock market to hedge away the underlying stock exposure. As a result, the stock exposure imbalance in option transactions translates into an imbalance in stock transactions. This paper decomposes the total stock order imbalance into an imbalance induced by option transactions and an imbalance independent of options. The analysis shows that the option-induced imbalance significantly predicts future stock returns in the cross section controlling for the past stock and options returns, but the imbalance independent of options has only a transitory price impact. Further investigation suggests that options order flow contains important information about the underlying stock value.     

Do political connections affect stock price crash risk? Firm-level evidence from China

Using a sample of Chinese listed firms in the period from 2003 to 2012, this paper empirically investigates how the presence of politically connected directors affects stock price crash risk. We thereby make a distinction between listed state-controlled firms and privately controlled firms due to their different incentives to appoint politicians as directors on the board. Our empirical results show that politically connected directors exacerbate stock price crash risk in listed state-controlled firms, an effect driven by the appointment of local government officials as directors. In contrast, hiring politicians as directors, particularly central-government-affiliated directors, helps listed privately controlled firms to reduce stock price crash risk. Finally, good quality of institutions does not help to alleviate the positive relationship between political connections and stock price crash risk in listed state-controlled firms. However, it does weaken the role of political connections in reducing crash risk in listed privately controlled firms.     

Does corporate eco-innovation affect stock price crash risk?

We examine the effect of corporate environmental innovation (hereafter eco-innovation) on stock price crash risk and document a significant negative association. Utilising a large sample of publicly listed U.S. firms for the period 2003 to 2017, we find that an increase in eco-innovation from the 25th to the 75th percentile is associated with 17.62% reduction in stock price crash risk. This outcome remains robust to a variety of sensitivity tests and after accounting for potential endogeneity concerns. Eco-innovative firms attract more institutional investors and equity analyst following and disclose more information leading to lower stock price crash risk. Additional tests reveal that the negative effect of eco-innovation is contingent on the political leadership's ideology and environmental sensitivity. Our paper contributes to the ongoing discourse on the costs and benefits of eco-innovation, documenting the value-enhancing perspective of eco-innovation.     

The information content of stock split announcements: Do options matter?

We provide a new test of the informational efficiency of trading in stock options in the context of stock split announcements. These announcements tend to be associated with positive abnormal returns. Our traditional event study results show abnormal returns that are significantly lower for optioned than non-optioned stocks, whether traded on the NYSE, Amex, or Nasdaq. After controlling for market returns, capitalization, book-to-market ratio, and trading volume, we find that the abnormal returns are significantly lower for NYSE/Amex optioned than non-optioned stocks. Although the results for Nasdaq stocks are not as clear, the overall effects tend to be lower after optioning. These findings are consistent with the hypothesis that the prices of optioned stocks embody more information, diminishing the impact of the stock split announcement. They provide new evidence of the beneficial effects of options on their underlying stocks.     

Do stock bulletin board systems (BBS) contain useful information? A viewpoint of interaction between BBS quality and predicting ability

This study explores whether information on internet stock bulletin board systems (BBS) is valuable for stock return prediction, taking advantage of data derived from the biggest stock BBS in China. Using a text classification algorithm, we find the online messages significantly predict stock return with negligible R‐squared. However, we find that accuracy of individual BBS posts is below 50 percent and there is no distinction at prediction accuracy between high‐ and low‐quality stock BBS. Due to the autocorrelation of stock returns, we argue that BBS predicts stock returns because of its reflection on the simultaneous stock return rather than revelation on valuable information.     

Do asset impairments and the associated disclosures resolve uncertainty about future returns and reduce information asymmetry?

The objective of this study is to provide insights into how Australian listed firms are implementing AASB 136 Impairments of Assets. Our first concern is whether uncertainty about future returns and information asymmetry motivates the recognition of asset impairments. We find no evidence that the recognition of asset impairments is associated with higher uncertainty about future returns. Furthermore, we find no evidence that the recognition of asset impairments is associated with higher information asymmetry. Our second concern is whether asset impairments and the associated disclosures provide information that reduces uncertainty about future returns and information asymmetry. While we find some evidence that asset impairments are associated with decreases in information asymmetry before the financial crisis, during the financial crisis, asset impairments are associated with increases in both measurement uncertainty and information asymmetry.     

Do the stock and CDS markets price credit risk equally in the long-run?

In this paper, we examine the existence and stability of the long-run equilibrium relation between the price of credit risk in the stock and CDS markets for a sample of non-financial iTraxx Europe companies during the 2004–2017 period. We show that standard cointegration tests with no breaks frequently fail to detect cointegration. Once we formally account for the breaks in the cointegrating vector, we are able to detect cointegration over the entire sample period for the vast majority of the companies considered. An application of these results to CDS-equity trading shows that the profitability of traditional trading strategies crucially depends on the presence of cointegration and on the stability of the cointegrating vector. Finally, we find that CDS illiquidity factors decrease the likelihood of the stock and CDS market cointegration.     

Do political factors affect stock returns during presidential elections?

This study investigates whether or not political factors such as government policy and political connections affected stock returns during the 2008 Taiwanese presidential election. We find that firms that benefitted from (were threatened by) the proposed Three-Links policy of the winning party experienced positive (negative) stock returns during the election. We use the sensitivities of firms’ returns to bilateral trade flows between Taiwan and China to measure the government-policy effect. Our results show that the effects of political connections weakly exist, but they become more significant when the support ratio of the winning party increased in polling data. We also find that only the government-policy effect holds for different crash-risk and corporate-governance levels. Finally, investment strategies based on both political factors can generate positive abnormal returns with respect to the Fama-French Three-factor Model.     

Do technology spillovers affect the corporate information environment?

Technology spillovers across firms affect corporate innovation, productivity, and value, according to prior research, so information about technology spillovers should matter to investors. We argue that technology spillovers increase the complexity and uncertainty of value relevant information about the firm, which makes information processing more costly, discourages it, and thereby increases information asymmetry between insiders and outsiders. We find that not only does information asymmetry increase, but so does avoidance by sophisticated market participants, uncertainty, and insider trading. We also find that investors do not misestimate short-term earnings, but they underestimate long-term earnings, consistent with the higher future stock returns that we also find.     

Does takeover activity affect stock price crash risk? Evidence from international M&A laws

We exploit the staggered initiation of merger and acquisition (M&A) laws across countries as a plausibly exogenous shock to the threat of takeover to examine whether the market for corporate control has a real effect on firm-level stock price crash risk. Using a difference-in-differences regression on a large sample of firms from 32 countries, we find that stock price crash risk significantly decreases following the passage of M&A laws. This effect is stronger for firms domiciled in countries with poorer investor protection and information environments and for firms with weaker firm-level governance. Further, financial reporting opacity and overinvestment significantly decrease in the post-M&A law periods. Our study suggests that an active takeover market has a disciplining effect on managerial bad news hoarding and leads to lower future crash risk.     

How do policy and information shocks impact co-movements of China’s T-bond and stock markets?

We investigate the impacts of policy and information shocks on the correlation of China’s T-bond and stock returns, using originally the asymmetric dynamic conditional correlation (DCC) model that allows for the coexistence of opposite-signed asymmetries. The co-movements of China’s capital markets react to large macroeconomic policy shocks as evidenced by structural breaks in the correlation following the drastic 2004 macroeconomic austerity. We show that the T-bond market and the bond–stock correlations bear more of the brunt of the macroeconomic contractions. We also find that the bond–stock correlations respond more strongly to joint negative than joint positive shocks, implying that investors tend to move both the T-bond and stock prices in the same direction when the two asset classes have been hit concurrently by bad news, but tend to shift funds from one asset class to the other when hit concurrently by good news. However, the stock–stock correlation is found to increase for joint positive shocks, indicating that investors tend to herd more for joint bullish than joint bearish stock markets in Shanghai and Shenzhen.     

The effect of CEO luck on the informativeness of stock prices: Do lucky CEOs improve stock price informativeness?

CEOs are “lucky” when they are granted stock options on days when the stock price is lowest in the month of the grant, implying opportunistic timing and severe agency problems (Bebchuk et al., 2010). Using idiosyncratic volatility as our measure of stock price informativeness, we find that lucky CEOs improve the informativeness of stock prices significantly. In particular, CEO luck raises the degree of informativeness by 4.39%. Powerful CEOs who can circumvent governance mechanisms and successfully practice opportunistic timing of options grants are so secured in their positions that they have fewer incentives to conceal information, thereby improving informativeness.     

Does ESG matter to investors? ESG scores and the stock price response to new information

We examine how a third-party assessment of a firm's relative ESG attractiveness affects investor demand for the firm's equity in the presence of new information. Utilizing an event-study methodology, with credit-rating change events as proxies for new positive and negative information, we find evidence supporting a high ESG score as a significant factor in determining how investors respond to new positive information. Specifically, after controlling for relevant fixed effects, we find that the highest quartile of ESG scores amplifies the positive stock-price reaction to credit-rating upgrades by 130 basis points, providing evidence of confirmation bias.     

Spillover of stock price crash risk: Do environmental,social and governance (ESG) matter?

This study measures the static and dynamic crash risk connections across ESG networks from 2015 to 2020, using the generalized vector autoregressive framework. In particular, it highlights the mixed results of the crash risk connections across ESG three pillars and the different spillover performance when firms with different ownership structures and qualification of margin-trading and short-selling. Our results reveal that stocks with higher ESG ratings display more negative net spillover effects, which is consistent with the ideas that stock groups with good ESG performance experience lower crash risk, and thus transmitting smaller crash risk to other ESG levels. Among the three ESG pillars, good social performance (S) significantly lowers the total crash risk connections. In contrast, firms with well environment performance (E) do not transmit lower crash risk. Moreover, SOEs and firms with qualification of margin-trading and short-selling have lower total crash risk connections among ESG ratings. Using propensity score matching to match companies with high ESG and low ESG quarterly, we find the results are still robust. When dividing the sample according to the outbreak of COVID-19, we find the crash risk connections across ESG networks are stronger during crisis.     

Institutional investor horizon and stock price synchronicity: Do product market competition and analyst coverage matter?

This paper provides new insights into the relation between institutional investment horizon and stock price synchronicity and investigates whether this relationship depends on the intensity of product market competition and analyst coverage. Based on a sample of French listed companies, we find that long-term (short-term) institutional investors are associated with lower (higher) stock price synchronicity. The results also show that the negative effect of long-term institutional investors is more accentuated for firms in less competitive markets and with high analyst coverage. An additional analysis shows that the synchronicity reduction effect does not vary during the financial crisis. Overall, these findings suggest that unlike their short-term counterparts, long term investors reduce asymmetric information and help disseminate firm-specific information into stock prices.     

Do leveraged warrants prompt individuals to speculate on stock price reversals?

Using proprietary data on bank-issued knock-out warrants written on a stock index, we find that individual investors’ aggregate warrant portfolio speculates against the short-term trend of the index. We argue that contrarian trading is driven by the interaction of product design and investors’ preference for large leveraged positions. Investors tend to open larger positions whenever warrants offer higher leverage. As a result, investors open an aggregate long position when calls offer higher leverage than puts. Since knock-out leverages move systematically with the underlying, aggregate warrant positions become contrarian even if investors do not intend to speculate on reversals.     

Do tax decision support systems affect the accuracy of tax compliance decisions?

Tax complexity has increased over the years as laws and regulations have been consistently added to the existing code sections. This complexity directly affects taxpayer compliance; complexity reduces taxpayer compliance. Along with the rise in complexity has come an increased use of tax preparation software such as TurboTax to combat the rising intricacy. This software is designed to help users properly complete a tax return and, as a result, increase taxpayer compliance. These software packages represent sophisticated tax decision support systems (TDSS) used by both professional tax preparers and individual taxpayers alike. While the availability and use has risen dramatically over the past few years, little research has been conducted to determine the impact of TDSS on tax preparers' decisions. The purpose of this study is to examine whether tax preparers manually preparing a tax return make the same decisions as tax preparers aided by a TDSS. The Theory of Technology Dominance suggests (1) that less experienced users will not be able to adequately use the TDSS and will make inferior decisions when compared to more experienced users and (2) that more experienced decision-makers using a TDSS will make better decisions than their counterparts preparing a return manually. The results support the propositions of the theory and show that less experienced tax preparers using a TDSS make inferior decisions when compared to more experienced tax preparers. The less experienced tax preparers report higher taxable income and higher tax liability. The results also indicate that using a TDSS can help both experienced and novice tax preparers make better decisions even though the novices cannot perform at the level of experienced tax preparers. This study concludes tax compliance is improved with the use of a TDSS.