AUTOMOTIVE RECALLS AND INFORMATIONAL EFFICIENCY

This study provides an empirical test of the informational efficiency of the stock market by exploring the stock price and volume patterns exhibited by Chrysler, Ford, and General Motors around the time of announcement of severe automotive recall campaigns. Because information concerning automotive recalls is released to the public via two distinct methods, which differ only with respect to the number of market participants notified of the recall campaigns, a differential performance analysis of stock returns and trading volume around both events provides evidence of the degree of informational aggregation in the stock market for three closely followed U.S. firms. The results of the study fail to support the definitional notion of informational efficiency with respect to the first public release date of severe recalls, as the vast majority of the stock market's response to recall announcements does not occur until the information is reported to all market participants. Further, tests of differential trading volume around the announcements suggest that some members of the financial community may be trading securities on the basis of the information contained in the first public announcement.     

Information in CDS spreads

We investigate how public and private information affects corporate CDS spreads prior to rating announcements. First, CDS spreads of firms with high news intensity change significantly earlier and more strongly prior to negative rating announcements than those of firms with low news intensity. Second, the contents of daily corporate news significantly influence the direction in which the CDS spreads move. Third, CDS spreads change more strongly for firms with more bank relationships and days with no news but large abnormal CDS spread changes are more frequent prior to negative rating announcements than prior to positive ones. The study provides new evidence on the informational efficiency of the CDS market, the impact of credit rating announcements, and insider trading.     

Overnight public information,order placement,and price discovery during the pre-opening period

This study examines the impact of corporate news announcements released overnight on price discovery during the pre-opening period in the Australian Securities Exchange. Our results suggest that the presence of these announcements increases the efficiency of indicative opening prices and that the intensity of these announcements significantly influences the aggressiveness of pre-opening orders. Using earnings announcements to compare the speed of price adjustments in response to overnight and daytime information of a homogeneous type, we find that prices respond immediately to overnight news upon the commencement of trading, whereas adjustments based on trading-hours news tend not to be instantaneous. Overall, our evidence highlights the important role of the pre-opening period in price discovery and the prospect of further enhancing this role by timing the release of public information to occur during non-trading hours.     

The 1994–1995 Mexican Currency Crisis and U.S. Bank Stock Returns

We investigate the impact of the 1994–1995 Mexican currency crisis on U.S. bank stock returns. We use a jump-diffusion model rather than a pure diffusion model to describe daily stock returns, because the public release of unexpected information generally is associated with discrete jumps in prices. Traditional event study models pool both announcement effects and trading effects and may lead to inefficient estimators. The jump-diffusion model can separate the impact of informed trading from unanticipated public announcements. Our results indicate that the variance of the jumps is large and increases with bank size and portion of loans to Mexico.     

Informed and Strategic Order Flow in the Bond Markets

We study the role played by private and public information inthe process of price formation in the U.S. Treasury bond market.To guide our analysis, we develop a parsimonious model of speculativetrading in the presence of two realistic market frictions—informationheterogeneity and imperfect competition among informed traders—anda public signal. We test its equilibrium implications by analyzingthe response of two-year, five-year, and ten-year U.S. bondyields to order flow and real-time U.S. macroeconomic news.We find strong evidence of informational effects in the U.S.Treasury bond market: unanticipated order flow has a significantand permanent impact on daily bond yield changes during bothannouncement and nonannouncement days. Our analysis furthershows that, consistent with our stylized model, the contemporaneouscorrelation between order flow and yield changes is higher whenthe dispersion of beliefs among market participants is highand public announcements are noisy.     

Informed Trading in Corporate Bonds Prior to Earnings Announcements

This paper examines the information content of corporate bond trading prior to earnings announcements using data from both NAIC and TRACE. We find that the direction of pre‐announcement bond trading is closely related to earnings surprises. This link is most evident prior to negative news and in high‐yield bonds. Further, abnormal bond trading during the pre‐announcement period can help predict both earnings surprises and post‐announcement bond returns. Such predictive ability of bond trading largely originates from institutional‐sized trades and is concentrated in the issuer's most actively traded bond. Finally, even after accounting for transactions costs, informed bond trading can generate significant net profits, especially prior to the release of bad news.     

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.     

The impact of economic news on bond prices: Evidence from the MTS platform

Although there is an extensive literature on the impact of macroeconomic announcements on asset prices, the bond market has received less attention than the foreign exchange and equity markets, even less if we consider the European market. This paper uses high-frequency intra-day data over a three-year period to investigate the impact of regularly scheduled macroeconomic news and monetary policy announcements on the returns of the Italian government bond market, the largest one in the Euro-zone. With respect to the previous papers, we use a much broader set of announcements, 68, and a relatively novel dataset (MTS). We find that 25 news have a significant impact on bond returns and that almost all announcements are incorporated into prices within 20 min from the release.     

Private information flow and price discovery in the U.S. treasury market

Using intraday data, we identify the intensity of private information flow in the U.S. Treasury market. Our results show that the intensity of private information flow is highly correlated with public information shocks and higher for longer maturity bonds. More importantly, we find that bond price changes associated with high intensity of private information flow tend to be persistent, whereas those associated with low intensity of private information flow are more likely reversed. While public information and private information are the main determinants of bond price variations on days with news announcements, private information and liquidity shocks are important determinants of bond price variations on days with no significant events. Finally, we show that the depth of limit order book is inversely related to the intensity of private information flow. Nevertheless, informed dealers do not seem to use hidden orders to disguise their trading intentions.     

The price and volume response to earnings announcements in the corporate bond market

We examine abnormal returns and trading activity in bond markets around earnings announcements. Previous work provides mixed evidence on the relative impact of positive and negative surprises and the degree of response in investment-grade and speculative-grade bonds. We find that these announcements convey value-relevant information for both positive and negative earnings surprises in both investment and speculative-grade bonds. We also document significant heterogeneity in the response across industries, with muted responses in both abnormal returns and trading activity for bonds of firms in the financial and utilities industries.     

Price discovery in the round-the-clock U.S. Treasury market

We evaluate the efficacy of price discovery in the round-the-clock U.S. Treasury market. Using a comprehensive intraday database, we explore informational role of trades over the 24-hour day. We find that information asymmetry is generally highest in the preopen period and lowest in the postclose period. Information asymmetry in the overnight period is comparable to that in the regular trading period. However, on days with macroeconomic announcements, information asymmetry peaks shortly after the news release at 8:30. Moreover, information asymmetry is higher on Monday morning and higher immediately before than after the open of U.S. Treasury futures trading. Although volume is low after hours and trading cost is relatively high, overnight trading generates significant price discovery. Results suggest that overnight trading activity is an important part of the Treasury price discovery process.     

Discount rate changes,stock market returns,volatility, and trading volume: Evidence from intraday data and implications for market efficiency

We examine the effect of discount rate changes on stock market returns, volatility, and trading volume using intraday data. Equity returns generally respond negatively and significantly to the unexpected announcements; however, the effect of expected changes on equity returns is insignificant. Furthermore, our results indicate that equity prices respond to announcements within the trading period/hour after the information release. An indication of a return reversal is too small to cover the full transaction costs. Unexpected discount rate changes also contribute to higher market volatility although the volatility is short-lived. Similarly, unexpected changes in discount rates induce larger trading volume while expected changes do not. Abnormal trading volume occurs only in period t. Our results also support the notion that unexpected changes in the discount rates impact market returns irrespective of the Federal Reserve operating procedures.     

The type of corporate announcements and its implication on trading behaviour

I report the empirical evidence to show how firms’ expected and unexpected announcements affect investors’ trading behaviour. I find that trading volume decreases before expected announcements, either scheduled or unscheduled, consistent with models that predict that discretionary liquidity traders may postpone their trading until after an anticipated news release. I also find that the magnitude of pre-announcement trading reactions is negatively associated with the level of pre-disclosure information asymmetry. I further find that trading volume is boosted before unexpected announcements, and the relation between the magnitude of pre-announcement trading reactions and the pre-disclosure information asymmetry is weakly significant or insignificant.     

The Impact of Firm-Specific Public News on Intraday Market Dynamics: Evidence from the Turkish Stock Market

This study attempts to discover the intraday firm-specific news announcements and return volatility relation in the Turkish stock market. The GARCH framework is utilized to investigate the impact of firm-specific public news announcements on volatility persistence with and without trading volume. For the majority of the stocks in the sample, the volatility persistence diminishes with the inclusion of firm-specific news, implying that news is impounded rapidly into prices. This effect is more pronounced for larger stocks. When there is no news, the trading volume does not appear to reduce the volatility persistence for the majority of stocks, possibly due to the presence of private information possessed by informed traders.     

The Impact of Regulation Fair Disclosure on Information Asymmetry and Trading: An Intraday Analysis

This study examines the impact of Regulation Fair Disclosure (FD) on liquidity, information asymmetry, and institutional and retail investors trading behavior. Our main findings suggest three conclusions. First, Regulation FD has been effective in improving liquidity and in decreasing the level of information asymmetry. Second, retail trading activity increases dramatically after earnings announcements but there is a significant decline in institutional trading surrounding earnings announcements, particularly in the pre‐announcement period. Last, the decline in information asymmetry around earnings announcements is closely associated with a lower participation rate in the pre‐announcement period and more active trading of retail investors after earnings releases.     

The lead-lag relation between the stock and the bond markets

I examine the relative informational efficiency of bonds and the underlying stocks through the lead-lag relation between their daily returns. I find that stock returns lead the returns of high yield bonds but not those of investment grade bonds, which indicates that the stock market is relatively more informational efficient than the bond market. The findings imply trading opportunities for the bonds that are highly sensitive to the release of new information. I also find that stocks detect impending defaults earlier than bonds, which implies that bond holders may have enough time to protect their capital.     

Relation Between Predisclosure Information Asymmetry and Trading Volume Reaction Around Quarterly Earnings Announcements

This study investigates the effects of differences in predisclosure information asymmetry on trading volume reaction during quarterly earnings announcements. The analyses show that trading volume reaction to quarterly earnings announcements is positively related to the level of predisclosure information asymmetry and to the magnitude of the price reaction to the announcements. These results are consistent with Kim and Verrecchia's (1991a) theoretical trading volume proposition, and with Atiase and Bamber's (1994) tests of the proposition based on annual earnings announcements. This study also provides evidence on the relation of predisclosure information asymmetry and trading volume before and after quarterly earnings announcements.     

Capital gains taxes and the market response to public announcements in an indexation-based tax regime

This paper addresses the impact of capital gains taxes on the market price and trading volume response to public announcements in an indexation-based tax regime. Our analysis indicates that indexation makes share prices more responsive to public announcements. Moreover, ‘over responsiveness’ induces negative correlation between short-term price changes around the public announcement and subsequent long-term price movements. This effect is greater when anticipated inflation is higher. Our analysis also indicates that trading volume is increasing in price changes around the public announcement.     

Volatility Information Trading in the Option Market

This paper investigates informed trading on stock volatility in the option market. We construct non-market maker net demand for volatility from the trading volume of individual equity options and find that this demand is informative about the future realized volatility of underlying stocks. We also find that the impact of volatility demand on option prices is positive. More importantly, the price impact increases by 40% as informational asymmetry about stock volatility intensifies in the days leading up to earnings announcements and diminishes to its normal level soon after the volatility uncertainty is resolved.     

The informational consequences of good and bad mergers

We study the information production dynamics in financial markets in response to Mergers and Acquisitions (M&As) announcements. We find that acquirers with low levels of pre-announcement stock price informativeness experience a substantial increase in their corresponding post-announcement stock price informativeness in response to positive Cumulative Abnormal Returns (CAR). We show that this increase is due to the enhanced prospect of deal completion. By contrast, high levels of acquirer pre-announcement stock price informativeness limit traders' incentives to search for, and acquire, new information. We also find that similar dynamics apply to the changes in acquirers' analyst coverage. Emphasizing the important role of information acquisition costs in influencing informed trading, a positive acquirer CAR increases the acquiring firm's post-announcement stock price informativeness in M&As involving public rather than private and subsidiary targets. Overall, we show that M&As have important informational consequences beyond their immediate effects on stock prices.