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1999, Journal of Empirical Finance
Automated markets are becoming increasingly widespread, and their efficiency properties are of corresponding concern to regulators and exchange policy makers. Many systems are implemented in settings characterized by a distinct lack of liquidity, however, often by design. We evaluate the performance of such a market, the GLOBEX overnight trading system, in absolute terms and relative to a liquid benchmark, the floor market of the Chicago Mercantile Exchange. Our results with respect to bid-ask spreads and adverse selection suggest that the nature of the environment is an important determinant of market performance, but that an automated market can operate well in a relatively illiquid setting. Price clustering, indicative of a lack of pricing efficiency, is prevalent on the automated system, but price resolution improves as trading frequency increases.
Review of Quantitative Finance and Accounting, 2010
Most stock markets are characterized by a number of parallel operating trading systems which interact intensively with each other. Usually, smaller trading platforms take the leading domestic main market as a benchmark in the price discovery process and for closing open trading positions. But what happens if the smaller trading systems suddenly have to act without this benchmark platform? We examine the effects of the reduction of the daily business hours of a screen based main trading system while a parallel floor based trading system keeps on operating. We provide evidence that liquidity improves while informed trading and informational efficiency of prices decrease at the floor based trading system as a result of the no longer operating main market. While prior research on parallel trading focuses on changes due to a growing number of trading venues, we present the first evidence on market effects when the main trading platform reduces trading hours.
SSRN Electronic Journal, 2005
The views expressed in this paper are those of the authors and do not necessarily reflect the views of the Commodity Futures Trading Commission or its staff.
Journal of International Financial Markets, Institutions and Money, 1997
This study examines the effect of the adoption of an automated trading system for equity trading on the Vancouver Stock Exchange (VSE). We find that the VSE's automation of its order processing has a positive influence on its trading activity, with market liquidity increasing in the post-automation period. We find, however, no evidence to support the contention that automation of securities trading destabilizes the market by increasing its volatility. Our empirical results confirm the existence of a weak weekend effect as well as a significant January effect. We also find that the serial correlation structure of returns is essentially stationary compared across the pre-and post-automation periods. We conclude that automation of the VSE has increased the transparency of the market and consequently will enhance the level of investor participation and confidence in it. 0 1997 Elsevier Science B.V. JEL class$cation: G15; G14
2000
2.1. Introduction 2.2. Background and Literature Review Intraday Trading Activity on Financial Markets 8 2.3. Description of the Market and Dataset. 97 2.4 The Tick-By-Tick Relationships 99 2.5. A Tick-By-Tick Ordered Probit Model 104 2.6. Conclusion 110 2.7. Tables 113 2.8. Appendix 125 157 3.7. Tables 159 4. CONCLUSIONS 165 4.1. Intraday Market Liquidity 167 4.2. The Information Content of Order Volumes 174 4.3. Lead-Lag Relationships between Stocks and Options 177 4.4. Research Agenda 181
SSRN Electronic Journal, 1999
Screen Information, Trader Activity, and Bid-Ask Spreads in a Limit Order Market A key focus of empirical work on limit order markets is the relative importance of individual pieces of information in characterizing order submission and trade execution. We enlarge this focus to include an examination of pricing behavior, using data on index futures trading in a pure electronic limit order book market. A theoretical link between order, trade, and cancellation arrival rates, and the distribution of bid-ask spreads is empirically implemented. Evaluation of models across different information sets is based on relative ability to predict market activity and pricing out-of-sample. A main finding of the paper is the importance and superiority of information embodied in continuous individual traders' actions in characterizing order submission behavior and the structure of pricing. The book information on chararcteristics of resting orders alone cannot explain subsequent order submission, trade, or pricing behavior, and has little impact on the shape of the spread distribution.
SSRN Electronic Journal, 2002
The rapid adoption of automated limit order book systems for equities, derivatives, and bonds worldwide has generated considerable interest in the operation of such markets. Using a new database comprising the limit order book for stock index futures trading in an automated market, we analyze the links between market liquidity, order placement behavior, and returns. We obtain several new results. First, we completely characterize the shape of the demand and supply schedules over time and use these to compute metrics of liquidity. We document wide intertemporal variation in overall market liquidity. Second, we provide evidence that traders strategically time their trades to take advantage of the timevariation in liquidity. Third, we analyze the dynamic relation between measures of liquidity and shorthorizon expected returns. We find support for microstructure models where liquidity is a factor in expected returns, but also complicated dynamics from past returns to market depth.
2014
This thesis is motivated by the progressive expansion of electronic markets with reduced pre-trade transparency and the collateral liquidity effects. In this thesis I develop three independent theoretical models and explore the repercussions of weak market liquidity and transparency. First, I approach the issue of limited liquidity through the optimal order placement problem of a risk-averse trader in a continuous time context and introduce a random delay parameter, which defers limit order execution and characterises market liquidity. This framework demonstrates that imperfect liquidity explains order clustering in the proximity of best quotes and the existence of the bid-ask spread. The distribution of expected time-to-fill of limit orders conforms to the empirically observed distribution of trading times, and its variance decreases with liquidity. Finally, two additional stylised facts are rationalised in this model: the equilibrium bid-ask spread decreases with liquidity, but in...
Institutional Investors, 2001
Recent ICT developments, however, have changed competitive conditions significantly. Whereas the telephone and telegraph had substantially increased economies of scale and scope, bringing natural monopoly features to the predominant national exchange and raising sunk cost barriers to new entry, computerization has had a much more complex effect. Whereas computerization has increased the potential for exploiting network externalities, and hence for concentrating trading, it has also introduced the possibility of product differentiation and dramatically reduced sunk cost barriers to entry. 2.1. Product Differentiation Computerization has facilitated new modes of trading which reduce the costs of different types of trading strategies. The continuous electronic auction system, first introduced by a brokerage firm (Instinet) in the 1970s, is now employed by every stock exchange in Europe. This mode of trading allows traders to place limit orders directly on an open order book via a remote computer terminal, and to execute market orders directly against these limit orders without intermediation by a dealer, floor broker, or exchange specialist. Electronic call market trading was first introduced in 1991 (by the Arizona Stock Exchange), allowing patient traders to pool their orders for execution at a pre-set time. Such systems execute all qualifying orders at a single price, determined either within the system itself (a call auction) or on other markets (a crossing network). In the US, the Arizona Stock Exchange (AZX) operates a call auction after the close of NYSE trading, Instinet offers an after-hours closing-price cross, and Posit runs five set-time intra-day crosses based on the contemporaneous Consolidated Quotation System (CQS) mid-quote. In 1998, OptiMark will introduce an electronic trading system based on massive parallel processing or supercomputers. The system, which can be run continuously or on a call auction basis, will process orders in three dimensions. Traders will be able to specify not only how many shares they wish to buy or sell at a given price or better, but also to specify preference rankings of such pairings in graph format. Even when run on a call auction basis, trades will execute at different prices depending on the pricing "aggressiveness" of each order (unlike with the previous generation of two-dimensional call auction systems, which execute all trades at a common clearing price). 2.2 Contestability Contestability theory (Baumol, Panzar, and Willig, 1988) highlights the theoretical and regulatory significance of potential competition. It demonstrates that allocative efficiency is achievable in an industry marked by natural monopoly production, provided that the monopolist faces the credible threat of entry by a lower cost producer. Since it had previously been generally assumed that
Investment management & financial innovations, 2017
This paper studies the impacts of the computerized trading system on the market liquidity in the Stock Exchange of Thailand (SET). The findings suggest that the automated trading system accomplishes its mission of increasing volume; however, it fails to reduce the asymmetric information among market participants. This may in general suggest that automation improves the trading efficiency and lowers the transaction costs. On the other hand, it fails to improve information asymmetry as the computerized trading system is outweighed by the information loss from the floor system. JEL Classification: G10; G14
Annual Review of Financial Economics, 2012
In recent decades, US equity markets have changed from predominantly manual markets with limited competition to highly automated and competitive markets. These changes occurred earlier for NASDAQ stocks (primarily between 1994 and 2004) and later for NYSE-listed stocks (mostly following Reg NMS and the 2006 introduction of the NYSE hybrid market). This paper surveys the evidence of how these changes impacted market quality and shows that overall market quality has improved significantly, including bid-ask spreads, liquidity, and transitory price impacts (measured by short-term variance ratios). The greater improvement in market quality for NYSE-listed stocks relative to NASDAQ stocks beginning in 2006 suggests causal links between the staggered market structure changes and market quality. Using proprietary data sets, provided by two exchanges, that identify the activity of high frequency trading firms, studies show these firms contributed directly to narrowing bid-ask spreads, incre...
In this paper, we determine whether intraday price dynamics observed on Euronext help characterize market liquidity in real time. We generate 15-minute price movement configurations based on High-Low-Open-Close (HLOC) patterns and measure liquidity in terms of spread, depth, order imbalance, dispersion and slope. We also consider trading activity and volatility measures. Based on an event study methodology, we find that particular HLOC configurations are associated with higher liquidity in the limit order book. Although these effects are short-lived, market participants could benefit from temporary higher liquidity by executing their trades when these price configurations occur.
Accounting and Finance Research, 2012
In this study, we examine the information links between daytime and overnight trading sessions in the E-mini futures markets. Our analysis includes the overnight session which hitherto remains unexplored in the E-mini literature. Overall, the results suggest that, for the sample period considered, despite being 24-hour markets, the daytime and overnight sessions appear to be segmented and that the daytime session behaves like a separate daytime market. Also, the overnight session facilitates an efficient flow of information from one daytime session to the next, thereby mitigating the pricing errors in the process.
SSRN Electronic Journal, 2015
We study whether the presence of low-latency traders (including high-frequency traders (HFTs)) in the pre-opening period contributes to market quality, defined by price discovery and liquidity provision, in the opening auction. We use a unique dataset from the Tokyo Stock Exchange (TSE) based on server-IDs and find that HFTs dynamically alter their presence in di↵erent stocks and on di↵erent days. In spite of the lack of immediate execution, about one quarter of HFTs participate in the pre-opening period, and contribute significantly to market quality in the pre-opening period, the opening auction that ensues and the continuous trading period. Their contribution is largely di↵erent from that of the other HFTs during the continuous period.
2008
We examine liquidity across different types of markets by using execution costs as a proxy for liquidity. We conduct a thorough analysis of execution costs on the NYSE versus Electronic Markets. We adopt a variety of techniques attempting to correct for the selection bias problem. Unlike current literature, we find that Electronic Markets offer lower execution costs even after controlling for selection biases. In addition to controlling for selection biases at the sample average level of order difficulty, we also carry out our analysis at different levels of order difficulty, measured by a vector of control variables. Our results are robust under different model specifications. Finally, our what-if analysis shows that Electronic Markets' (the NYSE's) orders would have been worse (better) off, had they been executed by the NYSE (Electronic Markets). Overall, our results highlight the superiority of Electronic Markets' liquidity and execution quality.
International Journal of the Economics of Business, 2013
We investigate the impact of after-hours trading on magnitude and timing of price discovery over the close-to-close period on the world's largest carbon trading platform, the European Climate Exchange (ECX). Low volume trading in carbon financial instruments can lead to relatively high levels of price discovery but the generated pricing has low efficiency levels. This is associated with high levels of informed trades and low levels of liquidity trades. Our results show higher trading volume per minute and greater price efficiency for after-hours when compared with regular trading hours. As a result of a higher proportion of informed trades, adverse selection costs for trades during the after-hours are significantly larger than those for trades during the regular trading-day.
Review of Financial Studies, 1995
SSRN Electronic Journal, 2000
Stock exchanges around the world are challenged by extreme liquidity events. We examine how trading design affects the ability of markets under liquidity stress to incorporate information efficiently. We examine the opening of trade and the expiration of stock index derivatives. To give markets time to incorporate overnight and weekend information efficiently, most exchanges open trading using a preopening period followed by a call auction. To improve their ability to accommodate extreme liquidity events exchanges have switched from fixed to random opening times. We investigate the effects of opening time randomization on informational efficiency of opening and preopening stock prices on stock index options expiration days and other days.
Journal of International Financial Markets, Institutions and Money, 1998
Previous literature has suggested that automated exchanges such as the Deutsche Terminborse (DTB) may be less liquid than their open-outcry counterparts such as the London International Financial Futures Exchange (LIFFE), although evidence provided on this issue has been mixed. This paper provides new evidence on the relative magnitudes of bid-ask spreads in the Bund contract traded on the DTB and LIFFE using intraday data from a period in which each exchanges share of total Bund trading was closer than previous research. The findings suggest that quoted bid-ask spreads are wider on the LIFFE than the DTB, even after controlling for their determinants. Furthermore, bid-ask spreads on the DTB increase more rapidly as price volatility increases relative to the LIFFE. Overall, this evidence implies that while automated exchanges are capable of providing more liquidity than floor traded exchanges, the relative performance of automated exchanges deteriorates during periods of higher volatility.
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