PORTFOLIO LIQUIDATION IN DARK POOLS IN CONTINUOUS TIME

We consider an illiquid financial market where a risk averse investor has to liquidate a portfolio within a finite time horizon [0, T] and can trade continuously at a traditional exchange (the “primary venue”) and in a dark pool. At the primary venue, trading yields a linear price impact. In the dark pool, no price impact costs arise but order execution is uncertain, modeled by a multidimensional Poisson process. We characterize the costs of trading by a linear‐quadratic functional which incorporates both the price impact costs of trading at the primary exchange and the market risk of the position. The solution of the cost minimization problem is characterized by a matrix differential equation with singular boundary condition; by means of stochastic control theory, we provide a verification argument. If a single‐asset position is to be liquidated, the investor slowly trades out of her position at the primary venue, with the remainder being placed in the dark pool at any point in time. For multi‐asset liquidations this is generally not the case; for example, it can be optimal to oversize orders in the dark pool in order to turn a poorly balanced portfolio into a portfolio bearing less risk.     

Execution quality in open‐outcry futures markets

This study examines the composition of customer order .flow and the execution quality for different types of customer orders in six futures pits of the Chicago Mercantile Exchange (CME). It is shown that off‐exchange customers frequently provide liquidity to other traders by submitting limit orders. The determinants of customers' choice between limit and market orders are examined, and it is found that higher bid—ask spreads increase the limit‐order submission frequency, and increased price volatility makes limit‐order submission less likely. Effective spreads, trading revenues, and turnaround times for customer liquidity‐demanding and limit orders are also documented. Consistent with evidence from equity markets, the results show that limit‐order traders receive better executions than traders using liquidity‐demanding orders, but incur adverse selection costs. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:1067–1092, 2005     

The impact of a pro‐rata algorithm on liquidity: Evidence from the NYSE LIFFE

This study investigates the impact of introducing a pure pro‐rata algorithm on the liquidity of the market for Euribor futures contracts on NYSE LIFFE. Results indicate that the Euribor market experiences deterioration in liquidity: (1) both best and total depth fall and (2) quoted spreads widen after the structural change. Results also reveal that the Euribor market becomes more active after the event; both trading volume and trade frequency increase substantially after the event. Finally, after the transition, liquidity demanders are more likely to submit smaller market orders. The reduction in depth and increase in quoted spreads suggest that liquidity demanders incur higher trade execution costs after the transition. In contrast, the transition is beneficial for the exchange since trading volume is higher under the new regime. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:660–682, 2012     

Decimalization,trading costs,and information transmission between ETFs and index futures

The impact of changes in trading costs, due to decimalization, on informed trading and speed of information transmission between exchange‐traded funds (ETFs) and their corresponding index futures is examined. ETFs began to trade in decimals on January 29, 2001, and index futures continued to trade in their original tick sizes. The focus is on whether the decrease in the minimum tick size of ETFs influences the relative performances of these two types of index instruments in the price‐discovery process. It is found that for ETFs, the trading activity increases, but the market depth drops significantly after decimalization. The spreads for ETFs generally decrease, but the adverse selection component of ETF spreads increases. Furthermore, after decimalization, ETFs start to lead index futures in the price‐discovery process and its share of information also increases. Although index futures still assume a dominant role in information discovery, the information content of the ETFs' prices improves significantly after decimalization. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:131–151, 2006     

OPTIMAL EXECUTION HORIZON

Execution traders know that market impact greatly depends on whether their orders lean with or against the market. We introduce the OEH model, which incorporates this fact when determining the optimal trading horizon for an order, an input required by many sophisticated execution strategies. This model exploits the trader's private information about her trade's side and size, and how it will shift the prevailing order flow. From a theoretical perspective, OEH explains why market participants may rationally “dump” their orders in an increasingly illiquid market. We argue that trade side and order imbalance are key variables needed for modeling market impact functions, and their dismissal may be the reason behind the apparent disagreement in the literature regarding the functional form of the market impact function. We show that in terms of its information ratio OEH performs better than participation rate schemes and VWAP strategies. Our backtests suggest that OEH contributes substantial “execution alpha” for a wide variety of futures contracts. An implementation of OEH is provided in Python language.     

A secure,real-time stock market protocol

Stock markets constitute the largest electronic commerce market in the world. The tremendous growth in trading volume and the need for fast and accurate transaction execution has made the stock market one of the most technology friendly markets. The fastest growing stock exchange, NASDAQ, is a wholly electronic stock exchange with all transactions conducted over computer networks. However, the transaction model used by NASDAQ and other electronic stock markets still borrows heavily from the older traditional models used by non-electronic stock exchanges. Two important requirements of modern day stock market transactions are: (a) customer's ability to place sophisticated transaction orders to buy/sell stock, and (b) customer's ability to detect transaction delays. Modern electronic stock exchanges lack both the ability to place newer, more sophisticated transaction orders and the ability to detect delays in transaction execution. In this paper, we propose a protocol for stock market transaction that can model a new sophisticated model for transaction orders while continuing to support traditional transaction orders. The protocol is augmented with a mechanism to detect delays in transaction execution. It is further shown that the protocol proposed is secure, atomic, anonymous, private, and incurs low overhead costs. This revised version was published online in June 2006 with corrections to the Cover Date.     

A realistic model of market liquidity and depth

A model that realistically defines market liquidity and depth is introduced. Liquidity is the expected rate of order execution in shares per minute. Depth is the average density of the limit order book in shares per dollar. Illiquid markets tend to exhibit longer execution delays and indirectly higher risk related to price impact. Markets with low depth are characterized by high price sensitivity and larger risks. Deviations from fundamental value exist because arbitraging them away carries liquidity cost, entails impact risk, and generates negatively skewed profits. Premia include liquidity and transparency components. In order to avoid excessive frontrunning and liquidity withholding around their block trade, traders break their block orders into smaller orders. In anonymous markets, the trader discriminates against early liquidity providers, and is only compensated for liquidity. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:443–464, 2005     

What Influences Trader Choice of Electronic versus Intermediated Execution?

We examine the determinants of US equity trader choice of electronic versus intermediated execution. While traders exhibit a strong overall preference for automation, when the market is less liquid at order submission time, traders seek market maker automated and human order‐matching services more often. Traders' overall tendency to choose intermediaries is highly correlated with their demand for liquidity. Market maker participation rates are higher for more active and larger size traders. Traders who choose intermediaries more often trade more stocks, execute orders quicker, price orders more aggressively, and disperse their trading over longer periods of time. Although US stock intermediaries continue to lose market share, our results highlight the important role these firms can play in an increasingly automated, electronically driven marketplace.     

国际贸易、技术创新与人力资源的再配置

技术进步是长期经济增长的源泉,而技术进步很大程度上是市场选择的结果。技术具有外溢性,在开放经济条件下,国际贸易通过开辟知识的跨国流动途径加速国际知识交流,增加本国的知识存量;另一方面通过劳动力市场和产品市场的价格信号影响人力资源在传统工业部门和技术研发部门之间的流动,并对人力资本投资发生作用。这种人力资源的专业化及投资行为最终会对长期经济增长率产生影响。     

Managed futures,positive feedback trading,and futures price volatility

A major issue in recent years is the role that large, managed futures funds and pools play in futures markets. Many market participants argue that managed futures trading increases price volatility due to the size of managed futures trading and reliance on positive feedback trading systems. The purpose of this study is to provide new evidence on the impact of managed futures trading on futures price volatility. A unique data set on managed futures trading is analyzed for the period 1 December 1988 through 31 March 1989. The data set includes the daily trading volume of large commodity pools for 36 different futures markets. Regression results are unequivocal with respect to the impact of commodity pool trading on futures price volatility. For the 72 estimated regressions (two for each market), the coefficient on commodity pool trading volume is significantly different from zero in only four cases. These results constitute strong evidence that, at least for this sample period, commodity pool trading is not associated with increases in futures price volatility. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 759–776, 1999     

中国汇率、利率、物价等相关关系研究

在经济运行过程中汇率、利率和物价三者关系紧密、相互影响,对经济的运行具有重大的意义。汇率的低估会引发物价上升,而实际汇率又由物价所决定。利率的变化对即期和远期的汇率也会产生重大的影响。我国的通货膨胀不仅应当通过抬高利率来抑制,更重要的应该通过对人民币正确估值,合理变动人民币汇率来解决。     

Reputation-based pricing and price improvements

Dealers often offer price improvements, relative to posted quotes, to their clients. In this paper, we propose an explanation to this practice. We also analyze its effects on market liquidity and traders’ welfare. Enduring relationships allow dealers to avoid informed trades by offering price improvements to clients who do not trade with the dealer when they are informed. A dealer never observes whether a specific client is informed or not but he can avoid informed orders by conditioning his offers on past trading profits. Cream-skimming of uninformed order-flow increases the risk of informed trading for dealers without a relationship. Thus, authorizing price improvements increases bid-ask spreads and impairs the welfare of investors without a relationship. It may even decrease the welfare of investors who develop a relationship as they sometimes need to trade at posted quotes. The model predicts a positive relationship between (a) the price improvements granted to a specific investor and past trading profits with this investor or (b) the frequency of price improvements and bid-ask spreads.     

GENERAL INTENSITY SHAPES IN OPTIMAL LIQUIDATION

The classical literature on optimal liquidation, rooted in Almgren–Chriss models, tackles the optimal liquidation problem using a trade‐off between market impact and price risk. It answers the general question of optimal scheduling but the very question of the actual way to proceed with liquidation is rarely dealt with. Our model, which incorporates both price risk and nonexecution risk, is an attempt to tackle this question using limit orders. The very general framework we propose to model liquidation with limit orders generalizes existing ones in two ways. We consider a risk‐averse agent, whereas the model of Bayraktar and Ludkovski only tackles the case of a risk‐neutral one. We consider very general functional forms for the execution process intensity, whereas Guéant, Lehalle and Fernandez‐Tapia are restricted to exponential intensity. Eventually, we link the execution cost function of Almgren–Chriss models to the intensity function in our model, providing then a way to see Almgren–Chriss models as a limit of ours.     

The price impact of futures trades and their intraday seasonality

This study examines the price impact of futures trades and their intraday seasonality by analyzing the continuous trading session dataset of KOSPI 200 futures, including the opening and closing periods. For this purpose, the study analyzes the futures dataset that contains information on transaction times, trade directions, order sizes, and the types of investors initiating the transactions. The results suggest several novel findings. First, a substantial portion of the price impact of futures trades is persistent, indicating the presence of informed trading in the futures market. Second, informed trading is concentrated in the opening period and liquidity trading is concentrated in the closing period of the continuous trading session. Third, small trades usually have a greater price impact than large ones, supporting the existence of stealth trading by futures traders. Fourth, trades by institutional investors have a greater price impact than those by individuals, suggesting that institutional investors are better informed and/or more sophisticated than individual investors in the futures market.     

Adverse Selection and Market Substitution by Electronic Trade

Adverse selection induces economic limits to market substitution. If quality uncertainty persists in both Internet and traditional marketplaces, a second-best equilibrium with parallel market segments may arise. The information cost advantage of one marketplace is exactly offset by a more severe adverse selection problem associated with non-observable quality variables. The electronic marketplace providing dominant search means contains all segments, while the traditional market may lack some segments. These missing segments are characterized by low quality expectations given the set of advertised quality signals. The analytic results are confirmed by an empirical investigation of used-car trade. Thus the study also provides an estimate of the price differential between the electronic and the traditional marketplace.     

Flexible exchange rates and international trade: An empirical investigation of bilateral flows

This paper investigates the alleged adverse effect of floating exchange rates on international trade. A simple model is constructed to test the relationship between exchange rate variability and bilateral trade flows between the United States and three of its major trading partners: Canada, Japan and Germany. Using data from 1960 to 1983 to encompass both “stable” and floating rate regimes, it is shown that while exchange rate variability is considerably higher in the floating period, there is no evidence that this greater variability has had a negative impact on trade flows.     

Closed-loop Nash competition for liquidity

We study a multiplayer stochastic differential game, where agents interact through their joint price impact on an asset that they trade to exploit a common trading signal. In this context, we prove that a closed-loop Nash equilibrium exists if the price impact parameter is small enough. Compared to the corresponding open-loop Nash equilibrium, both the agents' optimal trading rates and their performance move towards the central-planner solution, in that excessive trading due to lack of coordination is reduced. However, the size of this effect is modest for plausible parameter values.     

Duration,trading volume and the price impact of trades in an emerging futures market

This paper examines the price impact of trading intensity on the MexDer TIIE28 interest rate futures contract, one of the world's most actively traded contracts. A novel volume-augmented duration model of price discovery decomposes trading intensity into liquidity and information components. Duration between transactions exerts a positive influence on price changes, while increases in order flow and trade volume exert positive and negative influences, respectively. The liquidity component dominates the information measure, suggesting that liquidity considerations dictate trade timing. These findings are rationalized with reference to MexDer's organizational structure, specifically the affirmative obligations placed upon marketmakers to trade a minimum volume.     

Call Auction Transparency and Market Liquidity: Evidence from China

This paper uses the natural experiment offered by the Shanghai Stock Exchange to investigate the impact of opening call auction transparency on market liquidity. We find that the dissemination of indicative trade information during the pre‐open call auction session leads to an overall improvement in stock liquidity in the continuous trading session. Bid‐ask spreads narrow in the first trading hour because adverse selection risk fell significantly and there is less price volatility in the continuous market. This effect is greater for actively traded securities than illiquid securities. Our findings are robust for different lengths of sample period, different lengths of trading hours after market open, and stocks that had (and had not) reformed the share split structure during our research period.     

Globalization and female labor force participation: The role of trading partners

This paper uses industrial level data from 21 developing and emerging economies over the period of 1995–2013, to analyze the impact of globalization, in particular, trade orientation of industries onto female employment share. The fractional probit estimation reveals that taking cumulative measures of export and import share often camouflages the impact of trade on female employment. The disintegration of export and import share according to their trading partners reveals that exports and imports from the developed world alone contribute to higher female employment. Moreover, it is the low-tech exports to developed countries and high-tech imports from developed countries which results in an increase in female employment. These findings call for the strengthening of trade ties with the developed world, especially when it comes to promoting low-tech exports and high-tech imports. Our results also reveal that the trading links with the developed world can further enhance female employment if developing country possesses a greater pool of educated female labor force.