Investor Attention and Time‐varying Comovements

This paper analyses the effect of an increase in market‐wide uncertainty on information flow and asset price comovements. We use the daily realised volatility of the 30‐year treasury bond futures to assess macroeconomic shocks that affect market‐wide uncertainty. We use the ratio of a stock's idiosyncratic realised volatility with respect to the S&P500 futures relative to its total realised volatility to capture the asset price comovement with the market. We find that market volatility and the comovement of individual stocks with the market increase contemporaneously with the arrival of market‐wide macroeconomic shocks, but decrease significantly in the following five trading days. This pattern supports the hypothesis that investors shift their (limited) attention to processing market‐level information following an increase in market‐wide uncertainty and then subsequently divert their attention back to asset‐specific information.     

Word-of-mouth communication,noise-driven volatility,and public disclosure

This paper examines how a firm adjusts its disclosure quality in response to technological innovations that improve investors' private information. We show that more precise private information can endogenously amplify supply shocks and, hence, increase noise-driven (or non-fundamental) price volatility. We study how the firm reacts to such changes and derive a necessary and sufficient condition under which the firm improves its disclosure quality when investors are informed with better private signals. We then apply our model to study investors' private word-of-mouth communication. Our analysis highlights a “dark side” of word-of-mouth communication and a call for better public disclosure even if private communication is assumed to be unbiased and truthful. We provide empirical predictions regarding how price volatility, market depth, and firms’ disclosure qualities would change as technological innovations, such as social media, facilitate information sharing among investors.     

The monetary origins of asymmetric information in international equity markets

Existing studies using low-frequency data have found that macroeconomic shocks contribute little to international stock market covariation. However, these papers have not accounted for the presence of asymmetric information where sophisticated investors generate private information about the fundamentals that drive returns in many countries. In this paper, we use a new microstructure data set to better identify the effects of private and public information shocks about U.S. interest rates and equity returns. High-frequency private and public information shocks help forecast domestic money and equity returns over daily and weekly intervals. In addition, these shocks are components of factors that are priced in a model of the cross-section of international returns. Linking private information to U.S. macroeconomic factors is useful for many domestic and international asset-pricing tests.     

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.     

Valuation effects of domestic and international seasoned equity offerings by Canadian cross-listed firms

This paper finds significant differences in the price impacts around the announcement date for domestic and international seasoned equity offerings (SEOs) by Canadian issuers cross-listed on US trade venues. Important determinants that differ by US cross-listing trade venue are identified for the price impacts associated with domestic and international SEOs. The significant determinants are variables that proxy for positive private and public firm information for the domestic SEOs of issuers cross-listed on NASDAQ, and are mainly variables that proxy for negative private information for the domestic SEOs of issuers cross-listed on the NYSE/AMEX. Good and bad news affect domestic and international SEOs favorably and unfavorably, respectively. The only common determinant for the domestic and international SEOs and for domestic SEOs for both groupings of US listing venues is whether or not the issue is primary.     

Economic News and the Impact of Trading on Bond Prices

This paper studies the impact of trading on government bond prices surrounding the release of macroeconomic news. The results show a significant increase in the informational role of trading following economic announcements, which suggests the release of public information increases the level of information asymmetry in the government bond market. The informational role of trading is greater after announcements with a larger initial price impact, and the relation is associated with the surprise component of the announcement and the precision of the public information. The results provide evidence that government bond order flow reveals fundamental information about riskless rates.     

Firm size,information acquisition and price efficiency

We present a model in a competitive market where traders choose between a small and a large firm to acquire costly private information, but they also obtain free public information by observing equilibrium share prices. Our major finding is the existence of a noisy rational expectation competitive equilibrium, in which there are more informed traders of the large firm than those of the small firm. As a result, share prices of the large firm are more informative than those of the small firm. Our empirical study supports the analytical results. By using a bivariate vector autoregressive regression, we are able to conduct a variance decomposition of share prices for different size portfolios. We find that prices of large-size portfolios are more informative because non-value-related price shocks are less important in driving price changes of large-size portfolios than in the case of small-size portfolios.     

Learning about common and private values in oligopoly

We characterize a duopoly buffeted by demand and cost shocks. Firms learn about shocks from common observation, private observation, and noisy price signals. Firms internalize how outputs affect a rival's signal, and hence output. We distinguish how the nature of information —public versus private—and of what firms learn about—common versus private values—affect equilibrium outcomes. Firm outputs weigh private information about private values by more than common values. Thus, prices contain more information about private‐value shocks.     

Does the “Bund” dominate price discovery in Euro bond futures? Examining information shares

This paper examines the relative information shares of the Bund, i.e. the 10-year Euro bond future contract on German sovereign debt, versus two futures with shorter maturity. We find that the Bund is most important but does not dominate price discovery. The other contracts also have relevant - and at many days even higher - information shares. In examining determinants of information shares, we add order flow measures to market state variables and macroeconomic news. More order flow in a contract consistently increases this contract’s information share.     

Permanent trading impacts and bond yields

We analyse four years of transaction data for euro-area sovereign bonds traded on the MTS electronic platforms. In order to measure the informational content of trading activity, we estimate the permanent price response to trades. We not only find strong evidence of information asymmetry in sovereign bond markets, but also show the relevance of information asymmetry in explaining the cross-sectional variations of bond yields across a wide range of bond maturities and countries. Our results confirm that trades of more recently issued bonds and longer maturity bonds have a greater permanent effect on prices. We compare the price impact of trades for bonds across different maturity categories and find that trades of French and German bonds have the highest long-term price impact in the short maturity class, whereas trades of German bonds have the highest permanent price impact in the long maturity class. More importantly, we study the cross-section of bond yields and find that after controlling for conventional factors, investors demand higher yields for bonds with larger permanent trading impact. Interestingly, when investors face increased market uncertainty, they require even higher compensation for information asymmetry.     

Debt Issuance in the Face of Tax Loss Carryforwards

We examine the market impact of issuances of public and private debt by firms with sizeable tax loss carryforwards (TLCFs). Public issuances are met with a significantly negative stock price reaction, while private placements are associated with a positive marginally significant stock price reaction. After controlling for asymmetric information proxies, the stock price reaction to the debt issuance is more negative, the larger the TLCF. The evidence suggests that debt financing is suboptimal when issuers have large TLCFs, which in turn, supports the relevance of taxes for debt usage.     

The Role of Oil Price Shocks in Causing U.S. Recessions

Although oil price shocks have long been viewed as one of the leading candidates for explaining U.S. recessions, surprisingly little is known about the extent to which oil price shocks explain recessions. We provide a formal analysis of this question with special attention to the possible role of net oil price increases in amplifying the transmission of oil price shocks. We quantify the conditional effect of oil price shocks in the net oil price increase model for all episodes of net oil price increases since the mid‐1970s, analyze its determinants, and show that the linear model fits the data better.     

Inferring Public and Private Information from Trades and Quotes

We propose a new model that uses nonsynchronous, ultra‐high frequency data to analyze the sequential impact of trades and quotes on the price process. Private information is related to the impact of trades and public information to the impact of quotes. The model is extended to include various other factors that affect public and private information. For 20 active Nasdaq stocks, private information causes, on average, 9.43% of daily stock price movements. Additionally, quotes are more informative when (1) many dealers set the best price and (2) traditional market makers rather than Electronic Communication Networks set the best price.     

A structural analysis of price discovery measures

We analyze the structural determinants of two widely used measures of price discovery between multiple markets that trade closely related securities. Using a structural cointegration model, we show that both the information share (IS) and component share (CS) measures account for the relative avoidance of noise trading and liquidity shocks, but that only the IS can provide information on the relative informativeness of individual markets. In particular, the IS of one market is higher if it incorporates more new information and/or impounds less liquidity shocks. Use of the CS in conjunction with the IS can help sort out the confounding effects of the two types of shocks. Furthermore, we find that the IS only accounts for the immediate (one-period) responses of market prices to the news innovation, which implies that the IS estimates based on high sampling frequencies may be distorted by transitory frictions and may miss important price discovery dynamics.     

Does the effect of revealed private information on initial public offering (IPO) first trading day return differ by IPO market heat?

By IPO market regime, I decompose the effect of revealed private information on the initial return of IPOs (initial public offerings) into adjusted and unadjusted private information and find (i) investment banks partially adjust the offer price in return for revealed private information in all but the non‐hot IPO market; (ii) the economic importance of private information associated with IPOs (and hence agency costs) is procyclical; and (iii) industry information spillovers between IPOs occur only in the hot and very‐hot IPO markets.     

Institutional investor information network,analyst forecasting and stock price crash risk

In this paper, we construct the information network of fund investors based on the theory of social relationship networks and examine its impact of fund information sharing with analysts on stock price crash risk. Our results show that private information sharing among institutional investors reduces crash risk. Further results show that fund information sharing can alleviate analyst optimism bias and improve analyst forecast accuracy, which further reduces stock price crash risk. Moreover, these identified effects are more pronounced in a bull market than a bear market. Our study contributes to the research on private information transmission in fund information networks, and provides a new perspective for recognizing the relationships among institutional investor behavior, analyst forecasting, and stock price crash risk.     

The Effects of Public Information with Asymmetrically Informed Short‐Horizon Investors

This paper analyzes the effects of public information in a perfect competition trading model populated by asymmetrically informed short‐horizon investors with different levels of private information precision. We first show that information asymmetry reduces the amount of private information revealed by price in equilibrium (i.e., price informativeness) and can lead to multiple linear equilibria. We then demonstrate that the presence of both information asymmetry and short horizons provides a channel through which public information influences price informativeness and equilibrium uniqueness. We identify conditions under which public information increases or decreases price informativeness, and when multiple equilibria may arise. Our analysis shows that public information not only directly endows prices with more (public) information, it can also have an important indirect effect on the degree to which prices reveal private information.     

The market microstructure approach to foreign exchange: Looking back and looking forward

Research on foreign exchange market microstructure stresses the importance of order flow, heterogeneity among agents, and private information as crucial determinants of short-run exchange rate dynamics. Microstructure researchers have produced empirically-driven models that fit the data surprisingly well. But FX markets are evolving rapidly in response to new electronic trading technologies. Transparency has risen, trading costs have tumbled, and transaction speed has accelerated as new players have entered the market and existing players have modified their behavior. These changes will have profound effects on exchange rate dynamics. Looking forward, we highlight fundamental yet unanswered questions on the nature of private information, the impact on market liquidity, and the changing process of price discovery. We also outline potential microstructure explanations for long-standing exchange rate puzzles.     

Demand shocks and market manipulation

In this paper, we analyze the conflicts of interest of an informed agent who is responsible for divulging his private information about a company and has a reward function positively dependent on its stock price. We assume that the demand for the stock is subject to shocks that may increase it. We show that the presence of this “captive demand” leads to increased incentives to misrepresent the truth and manipulate the market. As an application, we investigate the case where the shocks represent the degree of social interactions among employees of a company whose CFO is the informed agent.