Multimarket Trading and Liquidity: Theory and Evidence

We develop a new model of multimarket trading to explain the differences in the foreign share of trading volume of internationally cross‐listed stocks. The model predicts that the trading volume of a cross‐listed stock is proportionally higher on the exchange in which the cross‐listed asset returns have greater correlation with returns of other assets traded on that market. We find robust empirical support for this prediction using stock return and volume data on 251 non‐U.S. stocks cross‐listed on major U.S. exchanges.     

Liquidity Provision and Noise Trading: Evidence from the Investment Dartboard Column

How does increased noise trading affect market liquidity and trading costs? We use The Wall Street Journal's “Investment Dartboard” column, which stimulates noise trading, as a natural experiment to evaluate models of the bid-ask spread. We find that substantial increases in trading volume and significant but temporary abnormal returns occur when analysts recommend stocks in this column, especially when recommendations come from analysts with successful contest track records. We also find an increase in liquidity and a decrease in the adverse selection component of the bid-ask spread.     

The Effects of Trading Methods on Volatility and Liquidity: Evidence from the Taiwan Stock Exchange

This study contrasts the call and continuous auction methods using Taiwan Stock Exchange data. Volatility under the call market method is approximately one-half of that under the continuous auction method. The call market method is more effective in reducing the volatility of high-volume stocks than low-volume stocks. This contradicts conventional wisdom which suggests that the call market method is superior for thinly traded stocks, while the continuous auction method is preferred for heavily traded stocks. The call market method does not impair liquidity and price discovery. The call market appears more efficient than in the continuous auction market.     

Market Liquidity and Trading Activity

Previous studies of liquidity span short time periods and focus on the individual security. In contrast, we study aggregate market spreads, depths, and trading activity for U.S. equities over an extended time sample. Daily changes in market averages of liquidity and trading activity are highly volatile and negatively serially dependent. Liquidity plummets significantly in down markets. Recent market volatility induces a decrease in trading activity and spreads. There are strong day-of-the-week effects; Fridays accompany a significant decrease in trading activity and liquidity, while Tuesdays display the opposite pattern. Long- and short-term interest rates influence liquidity. Depth and trading activity increase just prior to major macroeconomic announcements.     

Price Discovery and Trading After Hours

We examine the effects of trading after hours on the amountand timing of price discovery over the 24-hour day. A high volumeof liquidity trade facilitates price discovery. Thus pricesare more efficient and more information is revealed per hourduring the trading day than after hours. However, the low tradingvolume after hours generates significant, albeit inefficient,price discovery. Individual trades contain more informationafter hours than during the day. Because information asymmetrydeclines over the day, price changes are larger, reflect moreprivate information, and are less noisy before the open thanafter the close.     

Episodic Liquidity Crises: Cooperative and Predatory Trading

We describe how episodic illiquidity arises from a breakdown in cooperation between market participants. We first solve a one‐period trading game in continuous‐time, using an asset pricing equation that accounts for the price impact of trading. Then, in a multi‐period framework, we describe an equilibrium in which traders cooperate most of the time through repeated interaction, providing apparent liquidity to one another. Cooperation breaks down when the stakes are high, leading to predatory trading and episodic illiquidity. Equilibrium strategies that involve cooperation across markets lead to less frequent episodic illiquidity, but cause contagion when cooperation breaks down.     

Adverse Selection and Competitive Market Making: Empirical Evidence from a Limit Order Market

This article presents a new methodology for testing economicrestrictions on the price schedules offered in a limit orderbook that are based on (i) break-even conditions for marginallimit orders and (ii) rational updating conditions for orderbook revisions over time. Using order flow data from the StockholmStock Exchange, I find strong evidence of insufficient depthin the limit order books relative to the theoretical predictions.An extended model, which allows the model parameters to dependon market conditions, captures some of the systematic variationin the observed order book depth.     

Liquidity and firm characteristics: Evidence from mergers and acquisitions

We explore factors affecting liquidity by examining the relation between liquidity changes and changes in firm characteristics around mergers and acquisitions. We find that spreads decline as the number of analysts, number of shareholders, number of market makers, firm size, and volume increase or as volatility decreases. Increased volume and firm size, and decreased volatility, are associated with increased depth. We find no evidence diversifying and non-diversifying mergers affect liquidity differently. We note that mergers and acquisitions are associated with reductions, on average, in spreads but that the reductions are fully explained by the accompanying changes in firm characteristics.     

Spatial Competition and Shopping Externalities: Evidence from the Housing Market

In search markets, greater spatial concentration of sellers increases price competition. At the same time, though, a greater concentration of sellers can create a shopping externality by attracting more buyers to the site. Using housing sales data, we test for spatial competition and shopping externality effects on prices and marketing time. We find that they reflect both competitive and shopping externality effects from surrounding houses, although the relative strength varies with how fresh the house is in the market, the freshness of surrounding houses, and the phase of the market cycle. New listings have the strongest shopping externality effect on neighboring houses that have been on the market for some time. Vacant houses have their strongest competition effects in the declining market and externality effects in the rising market. Fresh houses on the market reap little benefit from shopping externalities in all phases of the market cycle.     

Liquidity and Liquidation: Evidence from Real Estate Investment Trusts

This study provides evidence that highly leveraged owner-managed properties liquidated assets during the commercial real estate decline of the late 1980s, and that this provided buying opportunities for better capitalized buyers. The analysis documents significant financial distress costs for highly leveraged firms during an industry-wide downturn and shows that these costs are particularly large for owner-managed firms.     

Stock Liquidity and Investment Opportunities: Evidence from Index Additions

We examine the relation between stock liquidity and investment opportunities in a sample of firms experiencing an exogenous liquidity shock. We find a positive relation between changes in capital expenditures and changes in stock liquidity, indicating that stock liquidity influences corporate investment decisions. This relation is robust to alternative measures of growth opportunities, and is consistent with a liquidity premium in equity returns. That is, an increase in liquidity effectively expands the set of positive NPV projects because it reduces the cost of capital. The results suggest that liquidity-enhancing events benefit shareholders by increasing the pool of viable growth opportunities.     

Hidden Liquidity: Some New Light on Dark Trading

Using a laboratory market, we investigate how the ability to hide orders affects traders’ strategies and market outcomes in a limit order book environment. We find that order strategies are greatly affected by allowing hidden liquidity, with traders substituting nondisplayed for displayed shares and changing the aggressiveness of their trading. As traders adapt their behavior to the different opacity regimes, however, most aggregate market outcomes (such as liquidity and informational efficiency) are not affected as much. We also find that opacity appears to increase the profits of informed traders but only when their private information is very valuable.     

Global Liquidity and Financial Stress: Evidence from Major Emerging Economies

We examine the relationship between financial stress and global liquidity for the so-called fragile five emerging economies (Brazil, India, Indonesia, South Africa, and Turkey). By using an extensive set of variables that take into account the structural characteristics of these economies, we construct a financial stress index. We then use a Markov regime switching model to identify the high financial stress episodes. We examine periods of heightened financial stress and its relationship to high incidence of domestic and global disturbances. Finally, we construct a global financial liquidity index and assess the relationship between financial stress and global liquidity. Using a bivariate Markov regime switching VAR model, we find a regime-dependent relation between global liquidity and financial stress. Moreover, global liquidity shocks seem to strain these emerging economies in such a way that global illiquidity heightens financial stress.     

Order Flow and Liquidity around NYSE Trading Halts

We study order flow and liquidity around NYSE trading halts. We find that market and limit order submissions and cancellations increase significantly during trading halts, that a large proportion of the limit order book at the reopen is composed of orders submitted during the halt, and that the market-clearing price at the reopen is a good predictor of future prices. Depth near the quotes is unusually low around trading halts, though specialists and/or floor traders appear to provide additional liquidity at these times. Finally, specialists appear to 'spread the quote' prior to imbalance halts to convey information to market participants.     

Strategic Trading, Liquidity, and Information Acquisition

We study endogenous liquidity trading in a market with long-livedasymmetric information. We distinguish between public information,tractable information that can be acquired, and intractableinformation that cannot be acquired. Besides information asymmetryand noise, the adverse-selection spread depends on the diffusionof intractable information and on the interest rate. With endogenousliquidity trading, efficiency is lower than that implied bynoise-trading models. Liquidity traders benefit from the informationreleased through the insider's trades in spite of their monetarylosses. We study factors that affect the insider's informationacquisition decision, including the amount of intractable information,observability, and information acquisition costs.     

Commonality in Liquidity: Evidence from an Order-Driven Market Structure

Events such as the 1997 East Asian financial crisis indicate that individual firm liquidity is strongly influenced by marketwide factors. Previous market microstructure research, however, focuses almost exclusively on the firm‐specific attributes of liquidity. Our study follows the recent shift in emphasis toward commonality by examining systematic liquidity in an order‐driven market structure. Using data from the Stock Exchange of Hong Kong, we show that commonality in liquidity includes both market and industry components, and is pervasive across size‐sorted portfolios. We also find a significant market and industry component in individual firms' order flow. In contrast to quote‐driven results, we do not find a positive relation between firm size and sensitivity to changes in marketwide bid‐ask spreads.     

Price Discovery without Trading: Evidence from Limit Orders

We analyze the contribution to price discovery of market and limit orders by high‐frequency traders (HFTs) and non‐HFTs. While market orders have a larger individual price impact, limit orders are far more numerous. This results in price discovery occurring predominantly through limit orders. HFTs submit the bulk of limit orders and these limit orders provide most of the price discovery. Submissions of limit orders and their contribution to price discovery fall with volatility due to changes in HFTs’ behavior. Consistent with adverse selection arising from faster reactions to public information, HFTs’ informational advantage is partially explained by public information.     

Overreaction and Insider Trading: Evidence from Growth and Value Portfolios

Insider transactions are not random across growth and value stocks. We find that insider buying climbs as stocks change from growth to value categories. Insider buying also is greater after low stock returns, and lower after high stock returns. These findings are consistent with a version of overreaction which says that prices of value stocks tend to lie below fundamental values, and prices of growth stocks tend to lie above fundamental values.     

Liquidity and asset pricing: Evidence from the Hong Kong stock market

This study investigates the role of liquidity in pricing stock returns in the Hong Kong stock market. Our results show that liquidity is an important factor for pricing returns in Hong Kong after taking well-documented asset pricing factors into consideration. The results are robust to adding portfolio residuals and higher moment factor in the factor models. The results are also robust to seasonality, and conditional-market tests. We also compare alternative factor models and find that the liquidity four-factor model (market excess return, size, book-to-market ratio, and liquidity) is the best model to explain stock returns in the Hong Kong stock market, while the momentum factor is not found to be priced.     

Externalities of public firm presence: Evidence from private firms' investment decisions

Public firms provide a large amount of information through their disclosures. In addition, information intermediaries publicly analyze, discuss, and disseminate these disclosures. Thus, greater public firm presence in an industry should reduce uncertainty in that industry. Following the theoretical prediction of investment under uncertainty, we hypothesize and find that private firms are more responsive to their investment opportunities when they operate in industries with greater public firm presence. Further, we find that the effect of public firm presence is greater in industries with better information quality and in industries characterized by a greater degree of investment irreversibility. Our results suggest that public firms generate positive externalities by reducing industry uncertainty and facilitating more efficient private firm investment.