The relationship between the frequency of news release and the information asymmetry: The role of uninformed trading

This paper shows that the degree of information asymmetry is lower for firms with more frequent news releases. The relation holds for various measures of information asymmetry such as the probability of information-based trading (PIN), permanent price impact, and adverse selection component of bid-ask spread, even after adjusting for endogeneity between news release and information asymmetry. By decomposing the PIN into intensities of uninformed and informed trades, similarly to Brown and Hillegeist (2007), we find that intensity of uninformed trading increases much more than that of informed trading for firms with more frequent news releases. As a result, information asymmetry, as is measured by PIN, decreases for such firms due to the large increase in the intensity of uninformed trading. Our findings highlight not only the importance of news releases in leveling the playing field of investors but also the role of uninformed investors in reducing trading cost due to information asymmetry.     

The Effect of Trading Halts on the Speed of Price Discovery

Trading halts are aimed at reducing information asymmetry by granting investors the opportunity to reassess trades upon arrival of new, substantial information. This study is the first to address the efficiency of the price discovery process with respect to time, i.e., the speed of adjustment to new information. A unique database allow us to conduct an event study analysis and measure the impact of trading halts on price discovery while controlling for content, operational and value effects. We find that information dissemination following trading halts is over 40% faster and that abnormal trading activity is positively related to the speed of price adjustment.     

Banks and sovereign risk: A granular view

We investigate the determinants of sovereign bond holdings of German banks and the implications of such holdings for bank risk. We use granular information on all German banks and all sovereign debt exposures in the years 2005–2013. As regards the determinants of sovereign bond holdings of banks, we find that these are larger for weakly capitalized banks, banks that are active on capital markets, and for large banks. Yet, only around two thirds of all German banks hold sovereign bonds. Macroeconomic fundamentals were significant drivers of sovereign bond holdings only after the collapse of Lehman Brothers. With the outbreak of the sovereign debt crisis, German banks reallocated their portfolios toward sovereigns with lower debt ratios and bonds with lower yields. With regard to the implications for bank risk, we find that low-risk government bonds decreased the risk of German banks, especially for savings and cooperative banks. Holdings of high-risk government bonds, in turn, increased the risk of commercial banks during the sovereign debt crisis.     

Anonymity,Stealth Trading,and the Information Content of Broker Identity

This paper examines whether the identity of a broker involved in transactions contains information. Using a sample of transactions from the Australian Stock Exchange—where broker identity is transparent—we provide evidence that consecutive buyer‐/seller‐initiated transactions by the same broker have a relatively high permanent price impact. This implies that broker identity conveys information to market participants, and that markets in which broker identity is disclosed are likely to be more efficient. We also find that medium‐sized trades by the same broker convey greater information than large and small trades, which is consistent with stealth trading by informed investors.     

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.     

The sovereign ceiling and emerging market corporate bond spreads

We use the spreads of emerging market bonds traded in secondary markets to study investors' perception of country risk. Specifically, we ask whether investors apply the “sovereign ceiling,” which says that no firm is more creditworthy than its government. To do this we compare the spreads of bonds issued by firms to those of bonds issued by the firms' home governments. We find several cases where a firm's bond trades at a lower spread than that of the firm's government, indicating that investors do not always apply the sovereign ceiling. Bonds for which this is true tend to have substantial export earnings and/or a close relationship with either a foreign firm or with the home government.     

Secondary Trading Costs in the Municipal Bond Market

Using new econometric methods, we separately estimate average transaction costs for over 167,000 bonds from a 1‐year sample of all U.S. municipal bond trades. Municipal bond transaction costs decrease with trade size and do not depend significantly on trade frequency. Also, municipal bond trades are substantially more expensive than similar‐sized equity trades. We attribute these results to the lack of bond market price transparency. Additional cross‐sectional analyses show that bond trading costs increase with credit risk, instrument complexity, time to maturity, and time since issuance. Investors, and perhaps ultimately issuers, might benefit if issuers issued simpler bonds.     

Liquidity and credit premia in the yields of highly-rated sovereign bonds

This paper quantifies liquidity and credit premia in German and French government bond yields. For this purpose, we estimate term structures of government-guaranteed agency bonds and exploit the fact that differences in their yields vis-à-vis government bonds are mainly driven by liquidity effects. Adding information on benchmark rates, we estimate liquidity and credit premia as latent factors in a state-space framework. The results allow us, first, to quantify the price impact of safe-haven flows on sovereign yields, which strongly affected very liquid bond markets during the recent financial crisis. Second, we quantify credit premia for highly rated governments, offering an important alternative to the information based on CDS markets.     

Does gold offer a better protection against losses in sovereign debt bonds than other metals?

It is a commonly held view that gold protects investors’ wealth in the event of negative economic conditions. In this study, we test whether other metals offer similar or better investment opportunities in periods of market turmoil. Using a sample of 13 sovereign bonds, we show that other precious metals, palladium in particular, offer investors greater compensation for their bond market losses than gold. We also find that industrial metals, especially copper, tend to outperform gold and other precious metals as hedging vehicles and safe haven assets against losses in sovereign bonds. However, the outcome of the hedge and safe haven properties is not always consistent across the different bonds. Finally, our analysis suggests that copper is the best performing metal in the period immediately after negative bond price shocks.     

Earnings Announcements, Asymmetric Information, Trades and Quotes

This paper empirically analyses trades and quotes around the times of 37 earnings announcements in the Paris Bourse. We find that trading volume is larger on announcement days, spreads are wider after announcements, and the permanent positive (resp. negative) price impact of purchases (sales) is greater around announcements. While the findings pertaining to the spread and the permanent impact of trades are consistent with the view that earnings announcements correspond to an increase in information asymmetries, the result that trading volume is larger suggests that other effects are at work.     

Competition among Trading Venues: Information and Trading on Electronic Communications Networks

This paper explores the competition between two trading venues, Electronic Communication Networks (ECNs) and Nasdaq market makers. ECNs offer the advantages of anonymity and speed of execution, which attract informed traders. Thus, trades are more likely to occur on ECNs when information asymmetry is greater and when trading volume and stock‐return volatility are high. ECN trades have greater permanent price impacts and more private information is revealed through ECN trades than though market‐maker trades. However, ECN trades have higher ex ante trading costs because market makers can preference or internalize the less informed trades and offer them better executions.     

From Implicit to Explicit: The Impact of Disclosure Requirements on Hidden Transaction Costs

This paper provides evidence that disclosing corporate bond investors' transaction costs (markups) affects the size of the markups. Until recently, markups were embedded in the reported transaction price and not explicitly disclosed. Without explicit disclosure, investors can estimate their markups using executed transaction prices. However, estimating markups imposes information processing costs on investors, potentially creating information asymmetry between unsophisticated investors and bond‐market professionals. We explore changes in markups after bond‐market professionals were required to explicitly disclose the markup on certain retail trade confirmations. We find that markups decline for trades that are subject to the disclosure requirement relative to those that are not. The findings are pronounced when constraints on investors' information processing capacity limit their ability to be informed about their markups without explicit disclosure.     

Is market impact a measure of the information value of trades? Market response to liquidity vs. informed metaorders

We examine a data-set of institutional trades where approximately one-fourth of the trades were labelled as having been created for cash flow purposes. We aggregate near-overlapping trades into metaorders and consider information, market impact and metaorder size. We find that during the execution, the functional form and scale of market impact are similar for cash flows and other metaorders. Differences arise in the price reversion following the end of a metaorder. For cash flows, presumed to have no true information content, the impact reverts almost completely on average in two to five days. For other metaorders, we find that reversion erases about one-third of the peak impact: for each size, price reverts to the average execution price, leaving no immediate profits after accounting for trading costs. Observed mark-to-market profits on metaorders that aggregate multiple portfolio manager orders, new metaorders and Nasdaq-listed stocks suggest that these metaorders are more informed than the average. Vice-versa, we find mark-to-market losses are more likely to occur on cash flows, metaorders in large-cap stocks, metaorders that follow momentum and additions to a prior position seeking to take advantage of an improved price. The complete price reversion for cash flows suggests that the mechanical permanent impact that is considered in no-quasi-arbitrage arguments would be much smaller than the information in typical institutional metaorders.     

The difference a day makes: Timely disclosure and trading efficiency in the muni market

The Real-Time Transaction Reporting System (RTRS) reduced the delay in reporting municipal bond trades from one-day to 15 min. We find a significant reduction in secondary market trading costs after the introduction of the RTRS. Our estimates imply that retail investors benefited primarily from reduced dealer intermediation costs, while large trades benefited from reductions in bargaining costs. Bonds experienced increases in trading volume across the liquidity spectrum. We find higher dealer capital commitment, longer intermediation chains, and fewer pre-arranged trades, all suggesting increased market-making incentives for dealers. These results are largely consistent with predictions from search-based models.     

Brokered versus dealer markets: Impact of proprietary trading with transaction fees

In this study, we consider a one-period financial market with a dealer/broker and an infinite number of investors. While the dealer who trades on his own account (with proprietary trading) simultaneously sets both the transaction fee and the asset price, the broker who brings investors' orders to the market (with no proprietary trading) sets only the transaction fee, given that the price is determined according to the market-clearing condition among investors. We analyze the impact of proprietary trading on the asset price, transaction fee, trading volume, and the welfare of investors. We find that the bid and ask prices set by the dealer who can engage in proprietary trading are more favorable to average investors. As a result, both the trading volume and the transaction fee increase, and social welfare improves.     

Information asymmetry around operational risk announcements

Operational risk incidences are likely to increase the degree of information asymmetry between firms and investors. We analyze operational risk disclosures by US financial firms during 1995–2009 and their impact on different measures of information asymmetry in the firms’ equity markets. Effective spreads and the price impact of trades are shown to increase around the first announcements of such events and to revert after the announcement of their settlement. This is especially pronounced for internal fraud and business practices related events. Market makers respond to higher information risk around the first press cutting date by increasing the quoted depth to accommodate an increase in trading volumes.The degree of information asymmetry around operational risk events may be influenced by the bank’s risk management function and the bank’s governance structure. We indeed find that information asymmetry increases more strongly after events’ first announcements when firms have weaker governance structures—lower board independence ratios, lower equity incentives of executive directors, and lower levels of institutional ownership. In contrast, the firms’ risk management function has little to no impact on information asymmetry. We interpret this as evidence that the risk management function is primarily driven by regulatory compliance needs. The results of this study contribute to our understanding of information asymmetry around operational risk announcements. They help to shed light on the role that regulation and corporate governance can play in order to establish effective disclosure practices and to promote a liquid and transparent securities market.     

Are investors consistent in their trading strategies? An examination of individual investor-level data

While it has been demonstrated that momentum or contrarian trading strategies can be profitable in a range of institutional settings, less evidence is available concerning the actual trading strategies investors adopt. Standard definitions of momentum or contrarian trading strategies imply that a given investor applies the same strategy to both their buy and sell trades, which need not be the case. Using investor-level, transaction-based data from China, where tax effects are neutral, we examine investors' buy-sell decisions separately to investigate how past returns impact differentially on the trading strategies investors adopt when buying and selling stock. After controlling for a wide range of stock characteristics, extreme price changes and portfolio value, a clear asymmetry in trading is observed; with investors displaying momentum behavior when buying stocks, but contrarian behavior when selling stocks. This asymmetry in behavior is not driven purely by reactions to stock characteristics or extreme stocks. We discuss behavioral and cultural explanations for our findings.     

The interaction between opening call auctions and ongoing trade: Evidence from the NYSE

We investigate the impact that the opening batch has on trading for the remainder of the day and what impact the prior day's trading has on the subsequent day's open. Traders have an interest in these trading impacts as their trades may cluster around opening and closing time periods. We find that the larger the volume in the opening batches, the greater the volume across the day. We also find the prior day's volume being positively related to the subsequent day's opening volume. Combined, these results suggest a continuing pattern of trade volume rolling from one day to the next. Additionally, we find that the spread in the continuous market can be partially attributed to the price change in the opening batch. We also find evidence of opening trade price reversals. Combined with the absence of price reversals following the opening trade, we conclude that the opening process may be more efficient at handling information than the continuous market.     

Daily institutional trades and stock price volatility in a retail investor dominated emerging market

We examine the short-run dynamic relation between daily institutional trading and stock price volatility in a retail investor-dominated emerging market. We find a significantly negative relation between volatility and institutional net trading that is mainly due to the unexpected institutional trading. The price volatility–institutional trade relation differs for institutional buys and institutional sells, and for small and large stocks. Institutional investors herd-trade in large stocks, but do not systematically engage in positive-feedback trading. We argue that the net impact of informational and noninformational institutional trades determines the relation between volatility and institutional trading, and that the relation is negative when informational trading by institutions prevails.     

Pricing and information content of block trades on the Shanghai Stock Exchange

We study the pricing mechanisms and information content of block trades on the Shanghai Stock Exchange (SSE) for the six year period from 2003 to 2009.There is an average of about 4% block discount, which is large in magnitude and statistically significant, reflecting compensation for locating counterparties and the cost of negotiating terms. We also examine permanent price impacts of the trades and find that discount block trades (DBTs) have significant negative permanent price impacts for various periods extended up to 60 trading days after the block trades. Conversely, premium block trades (PBTs) have small and statistically insignificant negative permanent price impacts, suggesting that buyers do not possess valuable private information. Finally, we classify the trades into buys and sells using a set of stricter rules and note similar results to those of DBTs and PBTs. Of additional note, block sells on stocks with expirations of restricted shares seem to have significant information content. As these trades are more likely to be originated from insiders, our results suggest that they strategically time the sale of these shares to maximize gains.