Short-selling,margin-trading,and stock liquidity: Evidence from the Chinese stock markets

This paper examines the impacts of two forms of leveraged trading—margin trading and short selling—on the trading liquidity of individual stocks in China. We find that trading liquidity for relevant stocks generally improves after restrictions on leveraged trading are removed. However, margin trading and short selling have opposite impacts on liquidity. During ordinary periods, margin trading benefits liquidity, whereas short selling damages liquidity; however, during market downturns, their roles are reversed. We also provide evidence suggesting that short sellers are informed traders in China and that short selling reduces stock liquidity because of the increased risk of adverse selection faced by uninformed traders.     

The market liquidity of DIAMONDS,Q's,and their underlying stocks

We investigate the market liquidity effects of the introduction of index-tracking stocks for the Dow Jones Industrial Average (DIAMONDS) and the NASDAQ 100 index (Q's). Our main finding is liquidity of the underlying DJIA 30 index stocks improves after the introduction of the exchange-traded fund, largely because of a decline in the cost of informed trading. Further, we find the DIAMONDS has significantly lower liquidity costs over the first 50 days of trading as compared to the portfolio of its component stocks, again primarily because of lower adverse selection costs. Finally, we find weaker but qualitatively similar results for the Q's.     

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.     

Reputation Effects in Trading on the New York Stock Exchange

Theory suggests that reputations allow nonanonymous markets to attenuate adverse selection in trading. We identify instances in which New York Stock Exchange (NYSE) stocks experience trading floor relocations. Although specialists follow the stocks to their new locations, most brokers do not. We find a discernable increase in liquidity costs around a stock's relocation that is larger for stocks with higher adverse selection and greater broker turnover. We also find that floor brokers relocating with the stock obtain lower trading costs than brokers not moving and brokers beginning trading post‐move. Our results suggest that reputation plays an important role in the NYSE's liquidity provision process.     

Sources of liquidity for NYSE-listed non-US stocks

We examine the components of displayed (quoted) liquidity and the amount of non-displayed liquidity on the NYSE for a sample of non-US stocks. Consistently with prior work, non-US stocks have less displayed liquidity than similar US stocks. Extending prior research, we find that this is true both in the limit order book and on the floor. As Domowitz et al. [Domowitz, I., Glen, J., Madhavan, A., 1998. International cross-listing and order flow migration: Evidence from and emerging market. Journal of Finance 53, 2001–2027] posit, non-US stocks from transparent/linked home markets have more displayed NYSE liquidity when the home market is open but non-US stocks from opaque/non-linked home markets have more NYSE displayed liquidity when the home market is closed. Non-US and US stocks have similar supplies of non-displayed liquidity, consistent with the idea that the conditional nature of non-displayed liquidity allows NYSE traders to mitigate adverse selection problems inherent in trading non-US stocks. Our results imply that non-US stocks have less total (displayed plus non-displayed) liquidity than US stocks.     

Analyst Disagreement,Mispricing, and Liquidity*

This paper documents a close link between mispricing and liquidity by investigating stocks with high analyst disagreement. Previous research finds that these stocks tend to be overpriced, but that prices correct downwards as uncertainty about earnings is resolved. Our analysis suggests that one reason mispricing has persisted through the years is that analyst disagreement coincides with high trading costs. We also show that in the cross‐section, the less liquid stocks tend to be more severely overpriced. Additionally, increases in aggregate market liquidity accelerate the convergence of prices to fundamentals. As a result, returns of the initially overpriced stocks are negatively correlated with the time series of innovations in aggregate 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.     

Order-to-trade ratios and market liquidity

We study the impact on market liquidity of the introduction of a penalty for high order-to-trade ratios (OTRs), implemented by the Italian Stock Exchange to curtail high-frequency quote submission. We find that the fee is associated with a collapse in the quoted depth of the stocks that make up the bulk of trading in Italian equities and with an increase in price impacts of trading across the treated stocks. Spreads do not change, however. Stocks from a pan-European control sample show no such liquidity changes. Thus, the Italian OTR fee had the effect of making Italian stocks markets more shallow and less resilient. Large stocks are more severely affected than midcaps. We also find evidence of a limited decrease in turnover. Consolidated liquidity, constructed by aggregating across all electronic trading venues for these stocks, decreases just like that on the main exchange. Thus, liquidity was not simply diverted from the main exchange, it was reduced in aggregate.     

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.     

Liquidity and risk sharing benefits from opening an ETF market with liquidity providers: Evidence from the CAC 40 index

This article examines how the introduction of an ETF replicating a stock index impacts on the liquidity of the underlying stocks when the ETF market involves liquidity providers (LPs). We find that index stock spreads decline, relative to those of non-index stocks, after the introduction of the ETF but this liquidity improvement is not driven by changes in adverse selection costs or recognition effects. By contrast, we show that it is mainly explained by a decrease in order processing and order imbalance costs. This most probably results from additional risk sharing capacities provided by increased cross-market trading and LPs' liquidity provision in low-liquidity times.     

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.     

隐性杠杆约束、流动性风险和投资者情绪

本文以2003—2019年间开放式主动管理型的股票型和偏股型基金为样本,以持仓占比为权重估算基金投组中A股的总市场风险暴露,检验结果表明,该序列上升反映了基金面临的隐性杠杆约束收紧,刻画了市场的弱流动性。内在逻辑在于,流动性收紧时,投资者难以通过融资直接增加杠杆,更倾向于重仓持有高市场风险头寸的股票而间接实现杠杆。本文发现隐性杠杆约束所刻画的风险在股票或基金收益截面上的无条件定价基本失效,而条件定价则依赖于低市场情绪与弱流动性。分解基金持股的敞口,进一步发现,因中小盘基金在流动性收紧时具有更强的流动性偏好,其持股的市场风险头寸能够更敏锐地捕捉到弱流动性风险。     

THE CHOICE OF TRADING VENUE AND RELATIVE PRICE IMPACT OF INSTITUTIONAL TRADING: ADRs VERSUS THE UNDERLYING SECURITIES IN THEIR LOCAL MARKETS

We address two important themes associated with institutions’ trading in foreign markets: (1) the choice of trading venues (between a company's listing in its home market and that in the United States as an American Depositary Receipt [ADR]) and (2) the comparison of trading costs across the two venues. We identify institutional trading in both venues using proprietary institutional trading data. Overall, our research underscores the intuition that the choice of institutional trading in a stock's local market or as an ADR is a complex process that embodies variables that measure the relative adverse selection and liquidity at order, stock, and country levels. Institutions route a higher percentage of trades to more liquid markets, and these trades are associated with higher cumulative abnormal returns. We also find that institutional trading costs are generally lower for trading cross‐listed stocks on home exchanges even after controlling for selection bias.     

The impact of short-selling and margin-buying on liquidity: Evidence from the Chinese stock market

We propose a framework based on limit order book to analyze the impact of short-selling and margin-buying on liquidity. We show that when short-sellers are perceived as informed, adverse selection may lead to uninformed traders withdrawing their limit orders. Given that the Chinese stock market has strong information asymmetry and a high proportion of uninformed traders, we predict that the pilot program launched in March 2010, which lifts restrictions on short-selling and margin-buying for a designated list of stocks, may have a negative impact on liquidity. We perform difference-in-differences tests and show evidence that allowing for short-selling and margin-buying indeed has a significantly negative impact on liquidity for stocks on the designated list. In particular, the negative impact on liquidity is more pronounced for stocks with high information asymmetry. Nevertheless, when short-selling volume dries up due to regulation changes in August 2015, i.e., the “T+1” trading rule on short-selling, we show that consistent with model predictions, lifting restrictions on short-selling and margin-buying has a positive effect on liquidity.     

Flight-to-liquidity,market uncertainty,and the actions of mutual fund investors

We explore the trading decisions of equity mutual funds during ten periods of extreme market uncertainty. We find that mutual funds reduced their aggregate holdings of illiquid stocks. Exploring the drivers behind this result reveals that this is mainly driven by larger withdrawals from funds that hold less liquid stocks. We further find that the sell-off of illiquid stocks occurred only after initial deterioration in market conditions, consistent with retail investors’ response to bad performance. At a broader level, this shows that mutual funds consumed liquidity during periods where liquidity was most valuable. Moreover, the fact that fund managers traded in response to these withdrawals suggests a potentially magnifying channel for the drop in illiquid stock prices, also known as flight-to-liquidity.     

The liquidity and trading activity effects of acquisition payment methods: Evidence from the announcements of private firms' acquisitions

We investigate how the liquidity and trading activity effects of the announcement of the acquisition of private targets vary by payment method. We find significant increases in trading activity around acquisition announcement dates irrespective of the payment method used; however, fluctuations are lower for acquisitions financed by earnouts and cash. Similarly, the stocks of acquirers using cash and earnouts are also less affected by a general loss of liquidity that accompanies announcements. We show that these effects are explained by the interpretation of cash acquisition by the market as an option used when acquirers perceive no risk of being adversely selected, and the potential of earnout as an adverse selection risk reduction tool.     

Does Algorithmic Trading Improve Liquidity?

Algorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure the causal effect of AT on liquidity. For large stocks in particular, AT narrows spreads, reduces adverse selection, and reduces trade‐related price discovery. The findings indicate that AT improves liquidity and enhances the informativeness of quotes.     

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.     

High‐Frequency Trading and the New Stock Market: Sense And Nonsense

The stock market has been transformed during the last 25 years. Human suppliers of liquidity like the NASDAQ dealers and NYSE specialists have been replaced by algorithmic market making; stocks that once traded on a single venue now trade across twelve exchanges and a multitude of alternative trading systems. New venues like dark pools, and new participants like high‐frequency traders, have emerged to take on prominent roles. This new market has had more than its share of controversy and regulatory scrutiny, particularly in the wake of Michael Lewis’s bestseller Flash Boys. In this article, the authors analyze five of the most controversial new market practices, including various high‐frequency trading strategies and dark pool activities. They set out a simple conceptual framework based on adverse selection and agency problems, and apply that framework to assess the welfare effects of each of the five practices. While much that is criticized is indeed objectionable, other controversial practices are much more complex than popularly imagined and may in fact be socially desirable. They conclude by evaluating a range of potential reforms to equity market structure.     

High-frequency trading and stock liquidity: An intraday analysis

This paper studies the impact of high-frequency trading (HFT) on intraday liquidity of CAC40 stocks listed on Euronext. Spreads display an intraday L-shaped pattern, while quoted depth follows an inverse pattern: low at the open and increasing towards the end of the trading day. When liquidity demand is particularly high, there is a high rate of order cancellations attributable to high-frequency traders who use frequent order cancellations to strategically manage their limit orders and close positions near the market close. Using the generalized method of moments estimator, we generate strong evidence that greater intensity of HFT is associated with lower spreads and higher depth. The positive effect of HFT on liquidity is due mainly to decreased adverse selection costs arising from asymmetric information among market participants.