Liquidity and stock returns in pure order-driven markets: evidence from the Australian stock market

This paper examines the relationship between liquidity and stock returns in the pure order-driven stock market of Australia. The bid-ask spread, turnover rate, and amortized spread are used as proxies for liquidity. In addition to liquidity, other factors that have been found to influence stock returns, such as beta and size, are also considered. Seemingly unrelated regressions (SUR) and the cross-sectionally correlated timewise autoregressive (CSCTA) model form the methodological basis for this research. A small liquidity premium is found in the Australian market, which persists for the entire year. There is also strong evidence of a negative size effect.     

Market structure and microstructure, in international interest rate futures markets

We examine the role of market structure in identifying microstructure features of the NYSE.Euronext-LIFFE STIR futures market by comparing the ability of two bid-ask spread component models to explain bid-ask spreads. These two models differ only in their assumptions about whether or not market makers are present. The period we analyze includes data from pit-based trading alongside electronic market data. We explore how market structure affects the way private information influences bid-ask spreads and return volatility. A second part of our study employs intraday correlation to investigate these links in greater depth, while a third part looks at how private information and trading noise contribute to price evolution.     

A microstructure examination of trading activity following stock splits

In a study of 1,131 stock splits spanning the period 1983–1989 we observe an increase in the number of trades as well as a reduction in the mean trade size following the split. Combined with earlier reported findings of an increase in the number of shareholders postsplit, we conclude that the number of liquidity traders increases after a split. We confirm the previously observed increase in the bid-ask spread following a split, and upon decomposition of the spread find an increase in its adverse selection component in the postsplit period. This is consistent with the finding by Brennan and Hughes (1991) of an increase in the number of analysts following a stock after a split. Further, observing a decrease in market depth following a split we determine that Kyle-type models incorporating diverse private information for informed traders most correctly describe the nature of security trading. Since this decrease in postsplit market depth is not related to the trading volume or the split factor, we reject price correction explanations for stock splits.     

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.     

Reprint of: Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality

We examine the dynamics and the drivers of market liquidity during the financial crisis, using a unique volume-weighted spread measure. According to the literature we find that market liquidity is impaired when stock markets decline, implying a positive relation between market and liquidity risk. Moreover, this relationship is the stronger the deeper one digs into the order book. Even more interestingly, this paper sheds further light on so far puzzling features of market liquidity: liquidity commonality and flight-to-quality. We show that liquidity commonality varies over time, increases during market downturns, peaks at major crisis events and becomes weaker the deeper we look into the limit order book. Consistent with recent theoretical models that argue for a spiral effect between the financial sector’s funding liquidity and an asset’s market liquidity, we find that funding liquidity tightness induces an increase in liquidity commonality which then leads to market-wide liquidity dry-ups. Therefore our findings corroborate the view that market liquidity can be a driving force for financial contagion. Finally, we show that there is a positive relationship between credit risk and liquidity risk, i.e., there is a spread between liquidity costs of high and low credit quality stocks, and that in times of increased market uncertainty the impact of credit risk on liquidity risk intensifies. This corroborates the existence of a flight-to-quality or flight-to-liquidity phenomenon also on the stock markets.     

Trade Disclosure,Information Learning and Securities Market Performance

In this paper we examine the effect of information disclosure on securities market performance when liquidity traders are able to acquire information about inside trading. We show that the bid-ask spread increases with the liquidity trader's learning efficiency, which is greater when trade information is disclosed. The bid-ask spread is always higher when trade information is not disclosed. However, the discrepancy between the bid-ask spreads with and without information disclosure narrows when the learning efficiency increases. We also show that the gains of the informed traders in a market without trade information disclosure are reduced in the presence of the liquidity trader's learning. Nevertheless, liquidity traders do not necessarily benefit from increased transparency. In particular, liquidity traders may face higher trading costs.     

Liquidity skewness in the London Stock Exchange

We study liquidity on the London Stock Exchange. We find that the average bid-ask spread declines, but that the skewness of the spread increases. These results are robust to firm size, trading volume and price level. Our findings hold when the bid-ask spread is estimated utilising high frequency data. We find that the bid-ask spread prior to earnings announcements dates is significantly higher than that of post earnings announcements, suggesting that asymmetric information has driven the increase in liquidity skewness. We also find that the effect of earnings announcements is more pronounced in the 2007 global financial crisis, consistent with the notion that extreme market downturns amplify asymmetric information. Our overall evidence also implies that increased competition and transparent trading environments limit market makers' abilities to cross-subsidize bid-ask spreads between periods of high and low levels of asymmetric information.     

Stock splits, trading continuity, and the cost of equity capital

We hypothesize that managers use stock splits to attract more uninformed trading so that market makers can provide liquidity services at lower costs, thereby increasing investors’ trading propensity and improving liquidity. We examine a large sample of stock splits and find that, consistent with our hypothesis, the incidence of no trading decreases and liquidity risk is lower following splits, implying a decline in latent trading costs and a reduced cost of equity capital. Further, split announcement returns are correlated with the improvements in both liquidity levels and liquidity risk. Our analysis suggests nontrivial economic benefits from liquidity improvements, with less liquid firms benefiting more from stock splits.     

Determinants of yield spread dynamics: Euro versus US dollar corporate bonds

This paper presents a systematic comparison between the determinants of euro and US dollar yield spread dynamics. The results show that US dollar yield spreads are significantly more affected by changes in the level and the slope of the default-free term structure and the stock market return and volatility. Surprisingly, euro yield spreads are strongly affected by the US (and not the euro) level and slope. This confirms the dominance of US interest rates in the corporate bond markets. Interestingly, I find that liquidity risk is higher for US dollar corporate bonds than euro corporate bonds. For both regions, the effect of changes in the bid-ask spread is mainly significant during periods of high liquidity risk. Finally, the results indicate that the credit cycle as measured by the region-specific default probability significantly increases US yield spreads. This is not the case for euro yield spreads.     

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.     

Liquidity Dynamics Around Jumps: The Evidence from the Warsaw Stock Exchange

The aim of our study is to examine the dynamics of trading volume and the number of trades around jumps detected in intraday stock returns. We detect jumps in equally spaced 10-minute returns for most liquid stocks quoted on the Warsaw Stock Exchange within one-year sample period. We match jumps with macroeconomic and firm specific news. We find that only the minority of jumps is associated with public information releases, whereas the majority of them is motivated by liquidity shocks observed in the spreads, volume, and the number of trades. Our findings show that jumps are related to the inability of the market to absorb new and big orders. Liquidity shocks in volatility, volume, and quoted spread are the key drivers accompanying the occurrence of the jumps. Finally, the introduction of a faster and more efficient trading system improves the liquidity by increasing the depth of the market.     

投资者理性预期、流动性约束与股价崩盘传染研究

“传染性”是股价崩盘三大基本特征之一,会加剧股价崩盘负面影响,甚至引发系统性金融风险,因此,本文重点关注股价崩盘传染机制研究。首先,本文基于两阶段理性预期均衡模型,提出股价崩盘传染两大假设,即投资者理性预期与流动性约束导致传染;其次,基于2000-2016年全球28个国家或地区资本市场数据,实证检验股价崩盘传染机制和传染渠道。研究显示:(1)投资者理性预期、流动性约束会导致股价崩盘发生传染;(2)股价崩盘事件会在资本市场关联国家或地区传染;(3)提高资本市场信息透明度、加强金融管制有助于降低受关联国家或地区股价崩盘传染。     

The Effects of Beta,Bid-Ask Spread,Residual Risk,and Size on Stock Returns

Merton's [26] recent extension of the CAPM proposed that asset returns are an increasing function of their beta risk, residual risk, and size and a decreasing function of the public availability of information about them. Associating the latter with asset liquidity and following Amihud and Mendelson's [2] proposition that asset returns increase with their illiquidity (measured by the bid-ask spread), we jointly estimate the effects of these four factors on stock returns.     

The market spread,limit orders,and options

In this article the determinants of the quoted market spread of options are analyzed. The empirical model is based on an extension of the Ho and Stoll model of the market spread in a market with competing market makers and limit order traders. It is shown that the part of the liquidity that is supplied by limit orders vis-à-vis market makers is negatively related to the size of the market spread. This observation combined with regularities over the day in the thickness of the book of limit orders, allows us to offer a new explanation for the intraday pattern in the bid-ask spread. The article uses intraday data from the book of limit orders, transaction data, and quotation data.The author extends thanks to Bruno Biais, Phelim Boyle, Marius Jonkhart, Angelien Kemma, Teun Kloek, and George Sofianos for helpluf comments. This article was presented at the WFA-meetings in Jackson, the Financial Options Research Centre in Coventry, the EFA-meetings in Rotterdam, and the Conference on World Trading Markets at Vanderbilt University.     

Does stock market development always improve firm-level financing? Evidence from Tunisia

The question of whether or not increased stock market size allows for improved financing conditions for firms in emerging markets is an important one for policy-making. This paper seeks to investigate this issue by analyzing whether increases in market-level liquidity have indeed trickled down to individual firms over the last decade of stock market development in Tunisia, a fast-growing Mediterranean emerging market. We develop time varying liquidity scores for all firms listed in the Tunisian market over the 1997–2009 period and analyze the extent to which market development, firm-level characteristics and risk exposure affect the magnitude and the distribution of liquidity using a set of fixed effect panel regressions. Our results suggest that massive increases in value traded have created market congestion, thereby increasing the costs of trading, in a context of persistently low efficiency and increased international integration. The main implications of this process are (i) market-level development and international integration are not sufficient conditions to ease access to finance for local firms, (ii) further reforms in the Tunisian market should focus on diversifying corporate ownership and improving the disclosure of information, and (iii) international investors seeking diversification in Tunisia should be aware of a significant illiquidity risk.     

Liquidity dynamics across public and private markets

In this paper we investigate cross-asset liquidity between equity markets and REITs and between REITs and private real estate markets. While many studies have investigated REIT liquidity, and there is an emerging interest in liquidity in the private real estate markets, there appears to be little knowledge of the dynamics of cross-market liquidity. We find lower levels of liquidity for REITs compared to a set of control firms matched on size and book-to-market ratios. Commonality in liquidity is also lower for REITs than the controls and the overall market. However, we do find an important difference in share turnover for REITs, which appears to have a higher level of commonality than found in other studies. We suggest that this may be due to the financial crisis. Additionally we find evidence of similar time-series variation in liquidity for public and private real estate markets. We also find significant directional causality for most liquidity proxies from the public to private real estate markets. Finally our results show that there is strong contemporaneous correlation between both public and private real estate market liquidity and the term spread and real investment and consumption spending. REIT liquidity measures based on intraday data also appear to contain important information not found in measures constructed from daily returns.     

Option market making under inventory risk

We propose a mean-variance framework to analyze the optimal quoting policy of an option market maker. The market maker’s profits come from the bid-ask spreads received over the course of a trading day, while the risk comes from uncertainty in the value of his portfolio, or inventory. Within this framework, we study the impact of liquidity and market incompleteness on the optimal bid and ask prices of the option. First, we consider a market maker in a complete market, where continuous trading in a perfectly liquid underlying stock is allowed. In this setting, the market maker may remove all risk by Delta hedging, and the optimal quotes will depend on the option’s liquidity, but not on the inventory. Second, we model a market maker who may not trade continuously in the underlying stock, but rather sets bid and ask quotes in the option and this illiquid stock. We find that the optimal stock and option quotes depend on the relative liquidity of both instruments as well as on the net Delta of the inventory. Third, we consider an incomplete market with residual risks due to stochastic volatility and large overnight moves in the stock price. In this setting, the optimal quotes depend on the liquidity of the option and on the net Vega and Gamma of the inventory.      

INFORMED TRADING RISK AND BID-ASK SPREAD CHANGES AROUND OPEN MARKET STOCK REPURCHASES IN THE NASDAQ MARKET

Microstructure theory contends that dealers' bid-ask spreads should vary intertemporally with changes in the asymmetric information component of the spread. Corporate theory suggests that stock repurchase announcements signal management's private information to the securities markets. An examination of dealers' spread behavior around firms' open market repurchases in the NASDAQ market reveals a decline in spreads adjusted for dealers' inventory-holding and order-processing costs. This decline is attributed to a reduction in informed trading risk associated with the open market repurchase announcements.     

Information Disclosure and Stock Liquidity: Evidence from Borsa Italiana

This article examines the effect of increased corporate information disclosure on stock liquidity. Using the adoption of International Financial Reporting Standards (IFRS) in Italy as a natural experiment we extend previous work examining the effect on one measure of liquidity—bid‐ask spreads—to others, specifically depth and the price impact of transactions (or effective bid‐ask spreads). Consistent with previous research we find that bid‐ask spreads of stocks decline following the introduction of IFRS, which implies that stock liquidity increases for small traders. However, we also provide evidence that depth at the best quotes declines, which challenges the proposition that liquidity increases for large trades following an increase in disclosure. In additional tests, we find that effective bid‐ask spreads of block trades also decline following the introduction of IFRS. Overall, this evidence confirms that stock liquidity for both small and large trades increases following an increase in corporate information disclosure.     

Liquidity provision,interest rates,and unemployment

The effective liquidity supply of the economy—the weighted-sum of all assets that serve as media of exchange—matters for interest rates and unemployment. We formalize this idea by adding an over-the-counter market with collateralized trades to the Mortensen–Pissarides model. An increase in public liquidity through a higher supply of real government bonds raises the real interest rate, crowding out private liquidity and increasing unemployment. If unemployment is inefficiently high, keeping liquidity scarce can be socially optimal. A liquidity crisis affecting the acceptability of private assets as collateral widens the rate-of-return difference between private and public liquidity, also increasing unemployment.