Transaction costs,liquidity risk,and the CCAPM

In this paper, we make a liquidity adjustment to the consumption-based capital asset pricing model (CCAPM) and show that the liquidity-adjusted CCAPM is a generalized model of Acharya and Pedersen (2005). Using different proxies for transaction costs such as the effective trading costs measure of Hasbrouck (2009) and the bid-ask spread estimates of Corwin and Schultz (2012), we find that the liquidity-adjusted CCAPM explains a larger fraction of the cross-sectional return variations.     

Stock liquidity premium with stochastic price impact and exogenous trading strategy

This paper provides a model which helps explain the variability of stock liquidity premium. Liquidity is modelled as a time-varying price impact and includes both permanent as well as temporary price impacts. Liquidity premium is defined as an additional expected return that stock should yield to compensate an investor for the potential loss of wealth utility caused by price impact costs. The numerical results presented show that liquidity premium varies with expected net stock return, return volatility and, to a lesser extent, with returns on risk-free bonds. Liquidity premium is a growing and convex function of liquidity costs, and temporary price impact has a more severe effect on liquidity premium than the permanent one.     

Market transparency,liquidity externalities,and institutional trading costs in corporate bonds

We develop a simple model of the effect of public transaction reporting on trade execution costs and test it using a sample of institutional trades in corporate bonds, before and after initiation of the TRACE reporting system. Trade execution costs fell approximately 50% for bonds eligible for TRACE transaction reporting, and 20% for bonds not eligible for TRACE reporting, suggesting the presence of a “liquidity externality.” The key results are robust to changes in variables, such as interest rate volatility and trading activity that might also affect execution costs. Market shares and the cost advantage to large dealers decreased post-TRACE. These results indicate that market design can have first-order effects, even for sophisticated institutional customers.     

VIX and liquidity premium

Previous studies find as the VIX goes up, the return and the Sharpe ratio on liquidity provision increase. We argue these two phenomena are correlated because they depend on the same fundamentals: investors’ risk aversion, asset variances and asset correlations. Our theoretical model shows (1) when investors are more risk-averse, they expect a higher return for providing liquidity, (2) when assets are volatile, liquidity shocks create stronger trading demands and thus liquidity demanders pay a higher premium, and (3) when assets are highly correlated, the higher risk of spillover of liquidity shocks across assets raises the price of liquidity. An increase in any of these three factors, besides increasing the expected return and the Sharpe ratio of liquidity providers, leads to a higher value for the VIX index. Our empirical analyses show that one standard-deviation increase in each of these three factors raise liquidity providers’ expected daily return (annualized Sharpe ratio) by 0.16%, 0.38% and 0.40% (0.82, 1.27 and 2.10 units), respectively.     

Multimarket trading and market liquidity

When a security trades at multiple locations simultaneously,an informed trader has several avenues in which to exploit hisprivate information. The greater the proportion of liquiditytrading by 'large' traders who can split their trades acrossmarkets, the larger is the correlation between volume in differentmarkets and the smaller is the informativeness of prices. Weshow that one of the markets emerges as the dominant locationfor trading in that security. When informed traders can usetheir information for more than one trading period, the timelyrelease of price information by market informed traders expectto make subsequently at other locations. Markets makers, competingto offer the lowest cost of trading at their location, consequentlydeter informal trading by voluntarily making the price informationpublic and by 'cracking down' on insider trading.     

The implied liquidity premium for equities

Over the long term, the returns on smaller stocks are likely to be higher than the returns on larger stocks. This phenomenon has been called size effect, and a number of explanations have been proposed to account for it. Here we show that the difference in return between the larger and the smaller stocks can be accounted for by a liquidity premium for the smaller stocks, and we estimate the value of this premium using structural parameters for the capital distribution of the U.S. stock market during the 1990s The authors wish to express their gratitude to an anonymous referee for a very thorough and incisive reading, as well as for many constructive suggestions that have significantly improved this paper. The authors wish to express their gratitude to an anonymous referee for a very thorough and incisive reading, as well as for many constructive suggestions that have significantly improved this paper.     

Strategic trading and learning about liquidity

Many practitioners point out that the speculative profits of institutional traders are eroded by the difficulty in gauging the price impact of their trades. In this paper, we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about time-varying market liquidity. Unlike the competitive market makers that they trade against, informed traders do not know the distribution of liquidity (“noise”) trades. Instead, they have to learn about liquidity from past prices and trading volume. This learning implies that strategic trades and market statistics such as informational efficiency are path-dependent on past market outcomes. Our paper also has normative implications for practitioners.     

Options and earnings announcements: an empirical study of volatility, trading volume, open interest and liquidity

In this paper we study the impact of earnings announcements on implied volatility, trading volume, open interest and spreads in the stock options market. We find that implied volatility increases before announcement days and drops afterwards. Also option trading volume is higher around announcement days. During the days before the announcement open interest tends to increase, while it returns to regular levels afterwards. Changes in the quoted spread largely respond to higher trading volume and changes in implied volatility. The effective spread increases on the event day and on the first two days following the earnings announcement.     

Trading costs, liquidity, and asset holdings

In this article I develop a model that accounts for interdependencebetween trading costs in various asset markets arising fromthe optimizing behavior of liquidity traders. The model suggeststhat noise trading is an important determinant of the liquidityof asset markets and provides a positive theory for diversifiedasset holdings by risk-neutral liquidity traders.     

The premium of dynamic trading

It is well established that, in a market with inclusion of a risk-free asset, the single-period mean–variance efficient frontier is a straight line tangent to the risky region, a fact that is the very foundation of the classical CAPM. In this paper, it is shown that, in a continuous-time market where the risky prices are described by Itô processes and the investment opportunity set is deterministic (albeit time-varying), any efficient portfolio must involve allocation to the risk-free asset at any time. As a result, the dynamic mean–variance efficient frontier, although still a straight line, is strictly above the entire risky region. This in turn suggests a positive premium, in terms of the Sharpe ratio of the efficient frontier, arising from dynamic trading. Another implication is that the inclusion of a risk-free asset boosts the Sharpe ratio of the efficient frontier, which again contrasts sharply with the single-period case.     

Multimarket trading and corporate bond liquidity

Global bonds are international securities traded and settled efficiently in multiple markets. This paper examines global bonds to evaluate the effects of multimarket trading on corporate bond liquidity and pricing. The results show that global bonds are significantly more liquid than similar-sized domestic bonds of the same issuers, and their liquidity advantage is reflected in higher market valuations. These findings support microstructure models that predict a positive relation between the number of potential investors and liquidity in over-the-counter markets, and help explain the increasing use of global bonds by corporate issuers.     

High-frequency trading and institutional trading costs

Using data on Canadian bond futures, we examine how high-frequency traders (HFTs) interact with institutions building large positions. In contrast to recent findings, we find HFTs in the data act as small-sized liquidity suppliers, and we reject the hypothesis that they engage in back running, a predatory trading strategy. Using a quasi-experiment in November 2011, in which a number of HFTs started trading the bond future, we run a difference-in-differences event study and find more competition among HFTs improves implementation shortfall, effective spreads, and short-term price impacts for institutional trading in Canadian bond futures.     

The quality premium with leverage and liquidity constraints

This research analyzes the causes of the quality premium, one of the most intriguing and successful investment strategies in equity markets. While previous research has argued that psychological biases explain the performance of the quality minus junk factor, our paper analyzes a leverage constraint explanation within a rational risk-based framework. The quality factor is multidimensional in nature, which suggests that a combination of risk, frictions, and behavioral biases is a reasonable explanation. Once we incorporate margin requirements and liquidity restrictions, we find that tighter conditions result in a higher intercept and a lower slope for the empirically implemented capital asset pricing model when using 10 quality-sorted portfolios. Our paper shows that, indeed, not only behavioral biases explain quality, but also market frictions account for its performance.     

A theory of the interday variations in volume, variance, and trading costs in securities markets

In an adverse selection model of a securities market with oneinformed trader and several liquidity traders, we study theimplications of the assumption that the informed trader hasmore information on Monday than on other days. We examine theinterday variations in volume, variance, and adverse selectioncosts, and find that on monday the trading costs and the varianceof price changes are highest, and the volume is lower than onTuesday. These effects are stronger for firms with better publicreporting and for firms with more discretionary liquidity trading.     

The liquidity premium in average interest rates

We extend recent models of liquidity to study how a systematic relationship between monetary shocks and output affects the average real short-term interest rate.     

Commonality in liquidity and multilateral trading facilities

We use the introduction of two multilateral trading facilities (MTFs) to examine the impact of market fragmentation on commonality in liquidity. We find that the introduction of MTFs following the Markets in Financial Instruments Directive increases the comovement of stocks’ liquidity with MTF liquidity, while the comovement with the home market liquidity generally decreases. We also find that the higher the MTF trading volume or the number of MTFs trading a stock, the stronger the effect. Further, we find that the commonality in liquidity remains unchanged for a matched control sample of stocks that do not trade on MTFs.     

Exchange trading rules and stock market liquidity

We examine stock exchange trading rules for market manipulation, insider trading, and broker–agency conflict, across countries and over time, in 42 stock exchanges around the world. Some stock exchanges have extremely detailed rules that explicitly prohibit specific manipulative practices, but others use less precise and broadly framed rules. We create new indices for market manipulation, insider trading, and broker–agency conflict based on the specific provisions in the trading rules of each stock exchange. We show that differences in exchange trading rules, over time and across markets, significantly affect liquidity.     

Dancing in the dark: post-trade anonymity,liquidity and informed trading

We analyze the impact of post-trade anonymity on liquidity and informed trading in an order driven stock market. The German stock market introduced the Central Counterparty (CCP) in March 2003 for German equities traded on its anonymous electronic trading platform Xetra leading to a major change in its existing transparency regime. Before the introduction trader IDs were revealed to the counterparties of a trade, with the introduction of the CCP even after the transaction the traders remain anonymous. Previous theoretical and empirical research documents that pre-trade anonymity results in increased liquidity, while results on post-trade anonymity are mixed. We find a significant increase in liquidity measured through a reduction of 25% in implicit transaction costs. We also document that the arrival rate of informed traders is reduced in the anonymous setting. Following recent findings of Bloomfield et al. (J Finan Econ 75:165–199, 2005) that informed traders take on the role of liquidity providers we interpret our findings as indication that informed traders change their behavior in providing liquidity more aggressively in an anonymous environment.     

Insider trading with correlation between liquidity trading and a public signal

We analyse a Kyle-type continuous-time market model in which liquidity trading is correlated with a noisy public signal that is released continuously. We show that, in contrast to the previous literature, Kyle's λ, the price sensitivity to the order flow, can even be non-monotonic, depending on the correlation structure. We also show that the introduction of an additional public signal does not necessarily improve the informational efficiency of the market, depending on the correlation.     

Informed trading and liquidity in the Shanghai Stock Exchange

Dufour and Engle (J. Finance (2000) 2467) find evidence of increased presence of informed traders when the NYSE markets are most active. No such evidence, however, can be found by Manganelli (J. Financial Markets (2005) 377) for the infrequently traded stocks. This article investigates the issue of informed trading and its relation to liquidity in Shanghai Stock Exchange. Consistent with the hypothesis that information-based trade exists for all stocks, our findings suggest an increased presence of informed trading in both liquid and illiquid stocks when markets are active. Moreover, for the actively traded stocks, our results support the price formation model of Foster and Viswanathan (Rev. Financial Studies (1990) 593) that activities of informed traders deter uninformed investors from trading, thereby reducing market liquidity.