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 Externalities and Adverse Selection: Evidence from Trading after Hours

This paper examines liquidity externalities by analyzing trading costs after hours. There is less than 1/20 as many trades per unit time after hours as during the trading day. The reduced trading activity results in substantially higher trading costs: quoted and effective spreads are three to four times larger than during the trading day. The higher spreads reflect greater adverse selection and order persistence, but not higher dealer profits. Because liquidity provision remains competitive after hours, the greater adverse selection and higher trading costs provide a direct measure of the magnitude of the liquidity externalities generated during the trading day.     

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.     

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.     

Information Asymmetry and Corporate Liquidity Management: Evidence from Real Estate Investment Trusts

We examine the impact of information asymmetry on a firm??s choice between cash and credit lines for corporate liquidity management using a panel data set from real estate investment trusts (REITs). Information asymmetry, as measured by analyst forecast error and dispersion, is negatively related to the use of lines of credit. Specifically, firms with more severe information asymmetry are less likely to have access to bank credit lines. Concurrently, more transparent firms are more likely to utilize bank credit lines as opposed to cash for liquidity management. The results are robust to alternative information asymmetry proxies and specifications. These findings suggest that information asymmetry plays an important role in corporate liquidity management.     

Liquidity Provision of Limit Order Trading in the Futures Market Under Bull and Bear Markets

Abstract:  This study investigates how limit orders affect liquidity in a purely order-driven futures market. Additionally, the possible asymmetric relationship between market depth and transitory volatility in bull and bear markets and the effect of institutional trading on liquidity provision behavior are examined as well. The empirical results demonstrate that subsequent market depth increases as transient volatility increases in bull markets. Market depth exhibits significantly positive relationship to subsequent transient volatility in bull markets. Additionally, although trading volume positively influences transient volatility in bull markets, no such relationship exists in bear markets. Liquidity provision decreases when institutional trading activity intensifies during bear markets. Thus, liquidity provision for limit orders differs between bull and bear markets.     

Technical Analysis and Liquidity Provision

The apparent conflict between the level of resources dedicatedto technical analysis by practitioners and academic theoriesof market efficiency is a long-standing puzzle. We explore apreviously unexamined feature of technical analysis —namely its relation to liquidity provision. We demonstrate thatsupport and resistance levels coincide with peaks in depth onthe limit order book and moving average forecasts reveal informationabout the relative position of depth on the book. Furthermore,we show that these relationships stem from technical rules locatingdepth already in place on the limit order book.     

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.     

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.     

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.     

Liquidity Provision,Bank Capital,and the Macroeconomy

New bank equity must come from somewhere. In general equilibrium, raising bank capital requirements means either that banks produce less short‐term debt (as debt holders must become shareholders), or short‐term debt is not reduced and the banking system acquires nonbank equity (as the shareholders in nonbanks become shareholders in banks). The welfare effects involve a trade‐off because bank debt is special as it is used for transactions purposes, but more bank capital can reduce the chance of bank failure (producing welfare losses).     

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.     

The Size and Incidence of the Losses from Noise Trading

Recent empirical research has identified a significant amount of volatility in stock prices that cannot easily be explained by changes in fundamentals; one interpretation is that asset prices respond not only to news but also to irrational “noise trading.” We assess the welfare effects and incidence of such noice trading using an overlapping-generations model that gives investors short horizons. We find that the additional risk generated by noise trading can reduce the capital stock and consumption of the economy, and we show that part of that cost may be borne by rational investors. We conclude that the welfare costs of noise trading may be large if the magnitude of noise in aggregate stock prices is as large as suggested by some of the recent empirical litrature on the excess volatility of the market.     

Price Discovery without Trading: Evidence from the Nasdaq Preopening

This paper studies Nasdaq market makers' activities during the one and one-half hour preopening period. Price discovery during the preopening is conducted via price signaling as opposed to the auction used to open the NYSE or the continuous market used during trading. In the absence of trades, Nasdaq dealers use crossed and locked inside quotes to signal to other market makers which direction the price should move. Furthermore, we find evidence of price leadership among market makers that bears little resemblance to their IPO\SEO lead underwriter participation.     

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.     

Liquidity Provision and the Organizational Form of NYSE Specialist Firms

We examine the influence of NYSE specialist firm organizational form on the nature of liquidity provision. We compare closely held firms whose specialists provide liquidity with their own capital to widely held firms whose specialists provide liquidity with diffusely owned capital. We argue that specialists using their own capital have a greater incentive and ability to reduce adverse selection costs, but face a greater cost of capital. Differences in the proportion of spreads due to adverse selection costs, large trade frequency, the sensitivity between depth and spreads, and price stabilization support this argument.     

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.     

Liquidity in auction and specialist market structures: Evidence from the Italian bourse

Several studies find that bid-ask spreads for stocks listed on the NYSE are lower than for stocks listed on NASDAQ. While this suggests that specialist market structures provide greater liquidity than competing dealer markets, the nature of trading on the NYSE, which comprises a specialist competing with limit order flow, obfuscates the comparison. In 2001, a structural change was implemented on the Italian Bourse. Many stocks that traded in an auction market switched to a specialist market, where the specialist controls order flow. Results confirm that liquidity is significantly improved when stocks commence trading in the specialist market. Analysis of the components of the bid-ask spread reveal that the adverse selection component of the spread is significantly reduced. This evidence suggests that specialist market structures provide greater liquidity to market participants.     

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.