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.     

从光大“乌龙指”事件看高频交易监管

随着电子化交易的发展,高频交易在证券市场中的运用越来越多。高频交易在增加流动性的同时,也因技术故障等问题造成证券市场价格剧烈动荡,这引发了人们的争论,即是否需要对高频交易进行限制。高频交易虽然带来了流动性,但是技术故障引发市场波动,量化交易的助涨助跌,更是会引发崩盘的系统性风险。因此,限制高频交易具有正当性。光大"乌龙指"事件,是我国首例因为技术故障引发的极端事件,应该借此机会反思,建立熔断机制、异常交易的处理规则和法律制度。     

Last look

In over-the-counter markets, a trader typically sources indicative quotes from a number of competing liquidity providers, and then sends a deal request on the best available price for consideration by the originating liquidity provider. Due to the communication and processing latencies involved in this negotiation, and in a continuously evolving market, the price may have moved by the time the liquidity provider considers the trader’s request. At what point has the price moved too far away from the quote originally shown for the liquidity provider to reject the deal request? Or perhaps the request can still be accepted but only on a revised rate? ‘Last look’ is the process that makes this decision, i.e. it determines whether to accept—and if so at what rate—or reject a trader’s deal request subject to the constraints of an agreed trading protocol. In this paper, I study how the execution risk and transaction costs faced by the trader are influenced by the last look logic and choice of trading protocol. I distinguish between various ‘symmetric’ and ‘asymmetric’ last look designs and consider trading protocols that differ on whether, and if so to what extent, price improvements and slippage can be passed on to the trader. All this is done within a unified framework that allows for a detailed comparative analysis. I present two main findings. Firstly, the choice of last look design and trading protocol determines the degree of execution risk inherent in the process, but the effective transaction costs borne by the trader need not be affected by it. Secondly, when a trader adversely selects the liquidity provider she chooses to deal with, the distinction between the different symmetric and asymmetric last look designs fades and the primary driver of execution risk is the choice of trading protocol.     

Trader Leverage and Liquidity

Does trader leverage drive equity market liquidity? We use the unique features of the margin trading system in India to identify a causal relationship between traders’ ability to borrow and a stock's market liquidity. To quantify the impact of trader leverage, we employ a regression discontinuity design that exploits threshold rules that determine a stock's margin trading eligibility. We find that liquidity is higher when stocks become eligible for margin trading and that this liquidity enhancement is driven by margin traders’ contrarian strategies. Consistent with downward liquidity spirals due to deleveraging, we also find that this effect reverses during crises.     

Price dispersion in OTC markets: A new measure of liquidity

In this paper, we model price dispersion effects in over-the-counter (OTC) markets to show that, in the presence of inventory risk for dealers and search costs for investors, traded prices may deviate from the expected market valuation of an asset. We interpret this deviation as a liquidity effect and develop a new liquidity measure quantifying the price dispersion in the context of the US corporate bond market. This market offers a unique opportunity to study liquidity effects since, from October 2004 onwards, all OTC transactions in this market have to be reported to a common database known as the Trade Reporting and Compliance Engine (TRACE). Furthermore, market-wide average price quotes are available from Markit Group Limited, a financial information provider. Thus, it is possible, for the first time, to directly observe deviations between transaction prices and the expected market valuation of securities. We quantify and analyze our new liquidity measure for this market and find significant price dispersion effects that cannot be simply captured by bid-ask spreads. We show that our new measure is indeed related to liquidity by regressing it on commonly-used liquidity proxies and find a strong relation between our proposed liquidity measure and bond characteristics, as well as trading activity variables. Furthermore, we evaluate the reliability of end-of-day marks that traders use to value their positions. Our evidence suggests that the price deviations from expected market valuations are significantly larger and more volatile than previously assumed. Overall, the results presented here improve our understanding of the drivers of liquidity and are important for many applications in OTC markets, in general.     

Equity trading by institutional investors: Evidence on order submission strategies

The trading volume channeled through off-market crossing networks is growing. Passive matching of orders outside the primary market lowers several components of execution costs compared to regular trading. On the other hand, the risk of non-execution imposes opportunity costs, and the inherent “free riding” on the price discovery process raises concerns that this eventually will lead to lower liquidity in the primary market. Using a detailed data set from a large investor in the US equity markets, we find evidence that competition from crossing networks is concentrated in the most liquid stocks in a sample of the largest companies in the US. Simulations of alternative trading strategies indicate that the investor’s strategy of initially trying to cross all stocks was cost effective: in spite of their high liquidity, the crossed stocks would have been unlikely to achieve at lower execution costs in the open market.     

Banks’ reserve management,transaction costs,and the timing of Federal Reserve intervention

We use daily data on bank reserves and overnight interest rates to document a striking pattern in the high-frequency behavior of the US market for federal funds: depository institutions tend to hold more reserves during the last few days of each “reserve maintenance period”, when the opportunity cost of holding reserves is typically highest. We then propose and analyze a model of the federal funds market where uncertain liquidity flows and transaction costs induce banks to delay trading and to bid up interest rates at the end of each maintenance period. In this context, the central bank’s interest-rate-smoothing policy causes a high supply of liquid funds to be associated with high interest rates around reserve-settlement days.     

Asset market equilibrium with liquidity risk

This paper derives an equilibrium asset pricing model with endogenous liquidity risk. Liquidity risk is modeled as a stochastic quantity impact on the price from trading, where the size of the impact depends on trade size. Under a strong set of assumptions, we prove that a unique equilibrium liquidity cost process and a unique equilibrium price process exists for our economy. We characterize the market’s state price density, which enables the derivation of the risk-return relation for the stock’s expected return including liquidity risk. We derive a generalized intertemporal CAPM and consumption CAPM for these markets. In contrast to the traditional models without liquidity risk, there is an additional systematic liquidity risk factor which is related to the stock return’s covariation with the market’s stochastic liquidity cost. Traditional transaction costs are a special case of our formulation.     

Measuring systemic risk-adjusted liquidity (SRL)—A model approach

Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.     

Asymmetric information,volatility components and the volume–volatility relationship for the CAC40 stocks

This paper investigates the relationship between trading volume components and various realized volatility measures for the CAC40 index constituents. A mixture-of-distribution model is used to decompose trading volume into informed and liquidity components. Realized volatility is broken down into continuous volatility and jumps. Our findings confirm the strong positive contemporaneous relationship between total trading volume and volatility when realized volatility and its continuous component are considered. A limited evidence of the effect of total trading volume on discontinuous volatility is found. The positive volume–volatility relationship is mainly driven by the informed component of trading volume. Conversely, liquidity volume is negatively related to realized volatility lending some support to the view that liquidity trading dampens the volatility of stock returns. A stronger negative relationship between liquidity volume and volatility jump is uncovered.     

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.     

The impact of informed trading on corporate liquidity

The purpose of this paper is to analyze the impact of informed trading on corporate liquidity. Although theory posits an inverse relation between informed trading and firm liquidity, there is relatively little evidence on precisely how this relation is established or maintained. The trading model of Easley et al. (J. Finance 51 (1996) 1405) is employed to estimate the probability of informed trading and to identify specific days of informed trading using posterior probabilities. The results show that corporate liquidity, both in terms of spreads and depths, is a decreasing function of the probability of informed trading. The main finding is that spreads narrow and depths increase on actual information days even after controlling for variations in price, volume, and volatility.     

Sovereign collateral as a Trojan Horse: Why do we need an LCR+

Sovereign bonds are widely used as collateral in banks’ funding and trading operations. If a sovereign becomes distressed, the collateral mechanism impairs and banks are suddenly facing significant liquidity calls. Basel III's Liquidity Coverage Ratio (LCR) protects banks against unexpected liquidity calls, but currently excludes sovereign distress. Thus, all banks fulfilling the LCR are still exposed to a liquidity risk stemming from distressed sovereign debt and materializing through the collateral channel. Our paper shows that this unaddressed risk can translate into a system-wide liquidity shock. To gauge the potential damage caused by such a shock, we develop a model based on banks’ home sovereign exposures and a bundle of simplifying assumptions in which sovereign distress triggers bank distress. Our model describes how deteriorating sovereign collateral can lead to an overall liquidity squeeze and non-compliance with Basel III liquidity standards. As this risk is too material to be neglected, we propose an alternative version of the LCR, LCR+, which includes the liquidity impact of sovereign distress.     

A tale of two time zones: The impact of substitutes on cross-listed stock liquidity

This article examines how the market quality of European cross-listed stocks is affected by the partial-day availability of close substitutes, i.e., shares of the same companies that are traded in their home markets but are not fully fungible with the cross-listed shares. Our findings suggest that narrower spreads and more competitive liquidity provision during overlapping trading hours reflect a significant impact from the availability of more substitutes in addition to the enhanced information environment and liquidity externalities when home markets are open. Our results also provide a richer picture of specialists’ intraday activities and offer new evidence of market integration.     

Investor Protection and Firm Liquidity

The purpose of this study is to investigate the relation between investor protection and firm liquidity. We posit that less protective environments lead to wider bid-ask spreads and thinner depths because they fail to minimize information asymmetries. The Hong Kong equity market provides a unique opportunity to compare liquidity costs across distinct investor protection environments, but still within a common trading mechanism and currency. Our empirical findings verify that firm liquidity is significantly affected by investor protection. Regression and matched-sample results show that Hong Kong-based equities exhibit narrower spreads and thicker depths than their China-based counterparts.     

Effect of ownership,governance, and transparency on liquidity – Chilean evidence

Companies with relatively thin trading, a high concentration of insider ownership, and a privatized pension system characterize Chile’s Santiago Stock Exchange. Within this setting, we study the relationship between ownership concentration, corporate governance, and stock market liquidity. Our results suggest that board independence, corporate disclosure and outside monitoring by institutions help moderate the effects that insiders have on trading costs and liquidity. We also find that market makers with inventory reduce the informational component of trading costs. Finally, the trades of insiders provide price guidance to market makers, while traders employ a follow-the-insider strategy when transparency is low.     

Risk in Dynamic Arbitrage: The Price Effects of Convergence Trading

I develop an equilibrium model of convergence trading and its impact on asset prices. Arbitrageurs optimally decide how to allocate their limited capital over time. Their activity reduces price discrepancies, but their activity also generates losses with positive probability, even if the trading opportunity is fundamentally riskless. Moreover, prices of identical assets can diverge even if the constraints faced by arbitrageurs are not binding. Occasionally, total losses are large, making arbitrageurs' returns negatively skewed, consistent with the empirical evidence. The model also predicts comovement of arbitrageurs' expected returns and market liquidity.     

Determinants of Trading Profits: The Liquidity Provision Decision

Theories show that liquidity provision implies negative contemporaneous correlation between trades and returns. Dealers on the Taiwan Stock Exchange are granted typical dealer trading advantages without obligations to provide liquidity and, thus, are ideal to test whether these advantages lead to voluntary liquidity provision (earning bid-ask spreads) or information trading (trading in the direction of the market). We find a strong positive correlation in aggregate, implying that these unrestricted dealers prefer information trading. We also find that smaller dealers are more likely to provide liquidity and that small-cap stocks (with larger bid-ask spreads) are more profitable for liquidity provision.     

The composition of CMBS risk

This paper identifies the put-option, liquidity availability proportion, and shadow liquidity risk premia embedded within commercial mortgage backed securities (CMBS) using reduced form and structural generalization models. These risk values are then interpreted as trading signals which are tested with automated trading strategies that buy undervalued and sell overvalued CMBS from November 2007 through June 2015. All three signals generate substantial positive trading profits in testing for the reduced form model but not for the structural generalization. The risk signals constructed independently of market pricing provide more profitable automated trading insights than those constructed from interactions between modeled risk measures and market spreads. In my tests of the information content of the risk signals with respect to future macroeconomic indicators, I find statistically significant evidence in keeping with recent studies. While I cannot reject CMBS efficiency, this paper’s disclosure of new risk measures, the profitability of automated strategies based on those risk measures, and the statistical significance of their forward guidance capabilities, together contributes to our understanding of CMBS risk and the credit spread puzzle debate.     

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.