Short sale constraints and the information content of trading

We examine changes in the information content of trading when short sale constraints between prohibition and restriction exist on a stock exchange. This is made possible by a unique institutional arrangement at the Stock Exchange of Hong Kong. It maintains a list of stocks which can be sold short under regulations. Stocks not on the list are prohibited from short selling. The list is revised on a quarterly basis based on predetermined criteria. We find that the probability of information-based trading (PIN) significantly increases when a stock is added to the list. Further analysis shows that this is mainly because uninformed traders are driven out of the market. Elimination of uninformed traders also causes the aggregate trading volume to decrease rather than increase. In comparison, the PIN does not change when a stock is dropped from the list. We also find that market liquidity, measured by volatility and bid–ask spreads, slightly decreases when a stock is added to the list and significantly increases when a stock is dropped from the list. Possible explanations are discussed.     

Foreign investor trading and information asymmetry: evidence from a leading emerging market

This article examines the influence of foreign investor trading on information asymmetry in the Korean stock market, a representative emerging market characterized by a high level of information asymmetry between corporate insiders and outsiders, and among investors. We find a significantly positive relationship between foreign investor trading and the consequent bid–ask spread – the latter of which is considered as a proxy for the degree of information asymmetry – on both daily and weekly bases. Our results indicate that active foreign investor trading tends to exacerbate informational variation.     

Understanding spread in the electronic futures markets: financial crisis perspective

This article analyses bid–ask spreads in U.S. electronic futures markets around the recent financial crisis. We decompose the bid–ask spread into three components – order processing, inventory holding and adverse selection costs – and show that adverse selection costs increased the most during the crisis while order processing costs are the largest cost component. Volume significantly affects inventory holding and order processing costs, whereas volatility only influences inventory holding costs. The crisis period had a significant effect on these relations. This study extends the existing literature on liquidity in equity to futures markets.     

Environmental disclosure and stock market liquidity: evidence from Arab MENA emerging markets

The objective of this study is to examine the impact of environmental disclosure levels on the stock market liquidity of Arab Middle Eastern and North African (MENA) companies. For that, a self-constructed disclosure index was applied to the annual reports for the years 2010, 2011 and 2012 and the bid-ask spread was used as a proxy for stock market liquidity. Results indicate that levels of environmental disclosure in MENA companies are quite low. In addition, using a sample of 276 firm-year observations, multivariate analysis shows that the higher the level of environmental disclosure provided in the annual reports, the lower the spread between the market bid and ask prices, thereby indicating an increase in stock market liquidity.     

Asymmetries in bid and ask responses to innovations in the trading process

This paper proposes a new approach to jointly model the trading process and the revisions of market quotes. This method accommodates asymmetries in the dynamics of ask and bid quotes after trade-related shocks. The empirical specification is a vector error correction (VEC) model for ask and bid quotes, with the spread as the co-integrating vector, and with an endogenous trading process. This model extends the vector autoregressive (VAR) model introduced by Hasbrouck (Hasbrouck J (1991) Measuring the information content of stock trades. J Finance 46:179–207). We provide evidence against several symmetry assumptions, very familiar among microstructure models. We report asymmetric adjustments of ask and bid prices to trade-related shocks, and asymmetric impacts of buyer and seller-initiated trades. In general, buys are more informative than sells. The likelihood of symmetric quote responses increases with volatility. We show that our findings are robust across different model specifications, time frequencies, and trading periods. Moreover, we find similar asymmetries in markets with different microstructures.

The impact of trading floor closure on market efficiency: evidence from the Toronto Stock Exchange

On 23 April 1997, the Toronto Stock Exchange closed its trading floor, making it at that time the second-largest stock exchange in North America to choose a purely electronic trading environment for its equities. Exploiting this natural experiment, we find that the move to electronic trading resulted in a higher cost of immediacy (bid–ask spreads), increased information asymmetry and an overall deterioration of short-horizon return predictability from past order flows, reducing the efficiency of price discovery. Our results suggest that the human element plays an important role in order execution and complements automated electronic trading by improving the efficiency of incorporating new information into prices.     

Private information and its origins in an electronic foreign exchange market

We study the risk of informed trading in an electronic foreign exchange market and test whether informed trading is driven by marketwide private information. Our framework is based on a structural microstructure trade model that measures the market makers' beliefs directly. Evidence of high concentration of informed trades is found to be inversely related to the overall 24-hour trading activity, i.e., early morning and late afternoon GMT rounds of trading involve the highest risk of informed trading. We structurally identify that the trades due to region-specific private information are dominant and explain between 5 and 25% of the variation in currency returns. In contrast, marketwide private information explains only about 1–5% of the variation in returns.     

Markets liquidity risk under extremal dependence: Analysis with VaRs methods

Value-at-Risk (VaR) is a widely used tool for assessing financial market risk. In practice, the estimation of liquidity extreme risk by VaR generally uses models assuming independence of bid–ask spreads. However, bid–ask spreads tend to occur in clusters with time dependency, particularly during crisis period. Our paper attempts to fill this gap by studying the impact of negligence of dependency in liquidity extreme risk assessment of Tunisian stock market. The main methods which take into account returns dependency to assess market risk is Time series–Extreme Value Theory combination. Therefore we compare VaRs estimated under independency (Variance–Covariance Approach, Historical Simulation and the VaR adjusted to extreme values) relatively to the VaR when dependence is considered. The efficiency of those methods was tested and compared using the backtesting tests. The results confirm the adequacy of the recent extensions of liquidity risk in the VaR estimation. Therefore, we prove a performance improvement of VaR estimates under the assumption of dependency across a significant reduction of the estimation error, particularly with AR (1)-GARCH (1,1)-GPD model.     

Model uncertainty and liquidity

Extreme market outcomes are often followed by a lack of liquidity and a lack of trade. This market collapse seems particularly acute for markets where traders rely heavily on a specific empirical model such as in derivative markets like the market for mortgage backed securities or credit derivatives. Moreover, the observed behavior of traders and institutions that places a large emphasis on “worst-case scenarios” through the use of “stress testing” and “Value-at-Risk” seems different than Savage expected utility would suggest. In this paper, we capture model-uncertainty using an Epstein and Wang [Epstein, L.G., Wang, T., 1994. Intertemporal asset pricing under Knightian uncertainty. Econometrica 62, 283–322] uncertainty-averse utility function with an ambiguous underlying asset-returns distribution. To explore the connection of uncertainty with liquidity, we specify a simple market where a monopolist financial intermediary makes a market for a propriety derivative security. The market-maker chooses bid and ask prices for the derivative, then, conditional on trade in this market, chooses an optimal portfolio and consumption. We explore how uncertainty can increase the bid–ask spread and, hence, reduces liquidity. Our infinite-horizon example produces short, dramatic decreases in liquidity even though the underlying environment is stationary. We show how these liquidity crises are closely linked to the uncertainty aversion effect on the optimal portfolio. Effectively, the uncertainty aversion can, at times, limit the ability of the market-maker to hedge a position and thus reduces the desirability of trade, and hence, liquidity.     

Informed trade,uninformed trade and stock price delay

The probability of informed trading (PIN), a measure of information-based trading risk, has been broadly applied to empirical studies on asset pricing. However, it is still controversial whether PIN measures exclusively the risk of firm-specific private information or it also captures the private interpretation of market wide public information. This article examines the relevance of PIN to the delayed response of stock prices to market-wide information. We find that PIN significantly explains individual stock price delay even controlling for size, liquidity and risk, and low-PIN stock prices adjust to market information more rapidly not only because of a notably high level of informed trading but also an even much higher level of uninformed trading. Our findings support the notion that PIN also captures the private skilled interpretation of public common factor information by sophisticated investors, and provide new empirical evidence on how information-based trading affects the speed at which stock prices adjust to information.     

连续竞价市场的股权结构、非对称信息与流动性

本文采用分笔交易的高频数据研究了股权结构对指令驱动的连续竞价市场中流动性和非对称信息的影响。研究表明,机构投资者对股票流动性有正的影响,且机构投资者能够显著减少交易过程的信息不对称程度,从而降低流动性成本。以国有股权和法人股权为代表的公司内部人对股票流动性没有显著影响,但能够降低交易过程的信息不对称程度,对减少流动性成本有积极作用。上市公司持股比例越分散,信息不对称程度越低,流动性成本越低。     

Monetary Policy Announcements,Communication, and Stock Market Liquidity

Using the high‐quality intraday transaction data from 2001–2012, we investigate changes in stock market liquidity in response to the monetary policy announcements of the Bank of Korea (BOK). We find that liquidity impairment associated with informed trading occurs prior to the announcements but it disappears subsequent to the global financial crisis. In addition, liquidity impairment appears to become more severe with insufficient experts' predictability and accuracy rather than with policy rate change itself and unscheduled announcements. Finally, the Federal Open Market Committee (FOMC) announcements, changes in the Volatility Index (VIX), and trading by foreign investors play a limited role in explaining stock market liquidity changes. Overall, results indicate that central bank communication plays a significant role in reducing liquidity impairment by enhancing the predictability of policy actions, and therefore, mitigating information asymmetry.     

Optimal Policy with Tradable and Bankable Pollution Permits: Taking the Market Microstructure into Account

This paper analyzes how the way emission permits are traded—their market microstructure—affects the optimal policy to be adopted by the environmental agency. The microstructure used is one of a quote driven market type, which characterizes many financial markets. Market makers act as intermediaries for trading the permits by setting an ask price and a bid price. The possibility of bank permits is also introduced in our dynamic two‐period model. We consider two models whether the market makers are perfectly informed about the technology of the producers or not. When the market makers have complete information, the equilibrium price of permits is the same as if the market is walrasian. When they are imperfectly informed, they may set a positive spread between bid and ask permit prices, which creates some inefficiency as the marginal abatement costs of polluters do not equalize. By allowing more flexibility in the use of the permits, banking may reduce the spread. Moreover, it may introduce price rigidities due to intertemporal arbitrage. In this framework, the circumstances under which banking should be allowed or not depend crucially on the evolution of the marginal willingness to pay for the environment.     

Insider trading and information revelation with the introduction of futures markets

We establish a theoretical model with informed trading in which both of individual stock futures and its underlying stock are traded in the market. With the introduction of the futures, the paper shows that an informed trader's position of futures usually motivates him or her to trade more aggressively in the stock market at the expiration day. This also worsens the adverse selection problem and makes the stock market become less liquid. Moreover, the increase of the informed trading accelerates the information revelation and improves market efficiency on the expiration date. Finally, our results suggest that price manipulation could be one factor that affects the market liquidity and market efficiency when the futures are introduced into the market.     

股权结构对买卖价差的影响研究

本文从市场微观结构层面研究了买卖价差和股权结构之间的关系,引入股权激励和B、H股因素,选取2006年至2010年上证180指数成分股作为研究标的。研究表明,公司内部人和机构投资者持股增加了买卖价差,并且机构投资者的影响更大,股权转让会导致买卖价差上升。股权激励在长期中能够降低买卖价差,但是在牛市行情中作用不明显。发行B、H股产生的市场分割和信息非对称会提高A股的买卖价差。     

Mass media effects on trading activities: television broadcasting evidence from Japan

This study examines how information broadcasting through television (TV) media influences stock market activities. Consistent with the effect of TV information to attract investor attention, we find that increased information flow through TV is significantly associated with greater trading volume and larger price change. For information type, hard news from business-oriented programmes and earnings-related news strongly contributes to the attention effect, while the effect of soft news is weaker. Bid–ask spread widens for more TV information flows, suggesting that new information arrival in the market expands information asymmetry. Finally, the impact of TV is more influential for stocks with more individual shareholders than those with institutional shareholders.     

AN OVER‐THE‐COUNTER APPROACH TO THE FOREX MARKET

The foreign exchange (FOREX) market is an over‐the‐counter market characterized by intermediation and significant bid–ask spreads. However, most of the existing international macroeconomics literature models the FOREX as a standard Walrasian market. This article constructs a dynamic general equilibrium model of intermediation in the FOREX market. We use our framework to compute standard measures of FOREX liquidity, such as bid–ask spreads and trade volume, and study how they are affected by macroeconomic fundamentals and market microstructure. We also study how FOREX market microstructure affects the volume of international trade and, consequently, welfare. Our empirical exercise offers support to the models' main predictions.     

流动性与资产定价:基于我国股市资产换手率与预期收益的实证研究

流动性与资产定价是目前金融研究的热点之一 (O’Hara,2 0 0 3 )。本文通过检验交易频率零假设和交易成本备择假设 ,深入分析我国股市流动性与资产定价的理论与经验关系 ,发现 :我国股市存在显著的流动性溢价 ,换手率低、交易成本高且流动性小的资产具有较高的预期收益 ;产生流动性溢价的原因是交易成本而不是交易频率 ;与国外股市相似 ,小企业收益率高于大企业 ,价值股收益率高于成长股。因此 ,我国股市并非令人无法捉摸 ,流动性、规模和价值效应都是资产定价的因素     

融资融券交易的市场冲击效应研究——基于中国台湾证券市场的经验与启示

融资融券交易是证券市场的重要组成部分,它的推出会对整个市场产生何种影响是非常值得研究的问题.文章利用中国台湾证券市场的融资融券交易数据,从市场流动性与波动性角度研究融资融券交易对整个市场的冲击效应.研究结果表明,融资买空交易有助于提升整个市场的流动性水平,在一定程度上可以改善市场流动性水平相对不足的状况,但融券卖空交易对市场流动性水平没有显著影响;融资买空与融券卖空交易并未显著影响整个市场的波动性水平.文章建议证券监管部门可以将融资融券交易保证金率作为市场调控工具,通过适时调整保证金率调控整个市场,避免市场出现大幅震荡.     

A search model of centralized and decentralized trade

This paper presents a search model of centralized and decentralized trade. In a centralized market, trades are intermediated by market makers at publicly posted bid–ask prices. In a decentralized market, traders search counterparties. Prices are negotiated and transactions are conducted in private meetings among traders. Traders can choose which market to enter. The determinants of bid–ask spreads and liquidity are analyzed. The welfare consequence of the market fragmentation is also analyzed. It is shown that compared to the competitive market-making, monopolistic market-making may improve social welfare.