Trading and Pricing in Upstairs and Downstairs Stock Markets

We provide empirical evidence on the economic benefits of negotiatingtrades in the upstairs trading room of brokerage firms relativeto the downstairs market. Using Helsinki Stock Exchange data,we find that upstairs trades tend to have lower informationcontent and lower price impacts than downstairs trades. Thisis consistent with the hypotheses that the upstairs market isbetter at pricing uninformed liquidity trades and that upstairsbrokers can give better prices to their customers if they knowthe unexpressed demands of other customers. We find that theseeconomic benefits depend on price discovery occurring in thedownstairs market.     

Trade size clustering and the cost of trading at the London Stock Exchange

For the London Stock Exchange, this paper investigates differences in trading costs between market maker (off-book) and order book trades, in the context of clustering in trade sizes and prices. We report several substantial findings. Even after controlling for differences in trade size, the realised spread measure is lower for off-book trades. For the order book, trade size clustering is not associated with differences in transaction costs nor with differences in the information content of trades. For the off-book market, trades in clustered (popular) sizes carry significantly more information than non-clustered trades. Despite the significant differences in the price impact estimates between the order book and off-book, we show that traders placing large orders off-book are still better off than trading via the order book as they benefit from a large discount from the current midpoint price. Additionally, we highlight that price and size clustering tend to occur simultaneously rather than being substitutes in this market setting.     

Trade disclosure regulation in markets with negotiated trades

In dealership markets disclosure of size and price of detailsof public trades is typically incomplete. We examine whetherfull and prompt disclosure of public-trade details improvesthe welfare of a risk-averse investor. We analyze a model ofdealership market where a market maker first executes a publictrade and then offsets her position by trading with other marketmakers. We distinguish between quantity risk and price revisionrisk. We show that if the market maker learns some informationabout the motive behind public trade, neither regime is unambiguouslywelfare superior. This is because greater transparency improvesquantity risk sharing but worsens price revision risk sharing.     

Financial Intermediation and the Costs of Trading in an Opaque Market

Municipal bonds trade in opaque, decentralized broker-dealermarkets in which price information is costly to gather. We analyzea database of trades between broker-dealers and customers inmunicipal bonds. These data were only released to the publicwith a lag; the market was opaque. Dealers earn lower averagemarkups on larger trades, even though dealers bear a higherrisk of losses with larger trades. We estimate a bargainingmodel and compute measures of dealer’s bargaining power.Dealers exercise substantial market power. Our measures of marketpower decrease in trade size and increase in the complexityof the trade for the dealer. (JEL G0, G24)     

Competition among Trading Venues: Information and Trading on Electronic Communications Networks

This paper explores the competition between two trading venues, Electronic Communication Networks (ECNs) and Nasdaq market makers. ECNs offer the advantages of anonymity and speed of execution, which attract informed traders. Thus, trades are more likely to occur on ECNs when information asymmetry is greater and when trading volume and stock‐return volatility are high. ECN trades have greater permanent price impacts and more private information is revealed through ECN trades than though market‐maker trades. However, ECN trades have higher ex ante trading costs because market makers can preference or internalize the less informed trades and offer them better executions.     

Information shares in a two-tier FX market

Using several measures of information share, we examine price discovery across the inter-dealer and dealer–customer market tiers in the currencies market. In the spot market, the information share of the inter-dealer tier is higher than that of the dealer–customer one for non-financial sector trades and is lower than the dealer–customer tier for foreign investors’ sell trades. In the forward market, the dealer–customer tier generally has the greater information share at the dealer’s buy side. Our results indicate the market where customers’ trades are the most informative and demonstrate how exogenous events affect price discovery across markets and market tiers.     

Inferring Trade Direction from Intraday Data

This paper evaluates alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data. We document two potential problems with quote-based methods of trade classification: quotes may be recorded ahead of trades that triggered them, and trades inside the spread are not readily classifiable. These problems are analyzed in the context of the interaction between exchange floor agents. We then propose and test relatively simple procedures for improving trade classifications.     

An Analysis of Changes in Specialist Inventories and Quotations

We develop a dynamic model of market making incorporating inventory and information effects. The market maker is both a dealer and an investor, quoting prices that induce mean reversion in inventory toward targets determined by portfolio considerations. We test the model with inventory data from a New York Stock Exchange specialist. Specialist inventories exhibit slow mean reversion, with a half-life of over 49 days, suggesting weak inventory effects. However, after controlling for shifts in desired inventories, the half-life falls to 7.3 days. Further, quote revisions are negatively related to specialist trades and are positively related to the information conveyed by order imbalances.     

汇率形成机制与做市商制度:动因、成本分析

人民币汇率形成机制问题成为近年来国际经济事务中的焦点.中国外汇交易中心2005年5月推出8种外汇交易品种以及引入外币间交易做市商制度,这一举措成为观察、试验做市商制度的序曲.本文研究认为,外汇市场引入做市商制度有利于改善人民币汇率形成机制,但是由于我国外汇市场还不完善,引入做市商制度也会带来一定的成本.为了全面推广做市商制度,多方面配套问题尚待解决.     

做市商制度与中国外汇市场的微观运行

内容交易制度对金融市场的运行质量会产生直接的影响。本文通过对实施做市商制度前后我国外汇市场运行的分析,发现实行做市商制度后,我国外汇市场的流动性和市场效率都有所提高,美元/人民币的即期汇率波动虽然较以前增大,但依然处于比较稳定的状态,适应增强人民币汇率弹性的要求。     

Asymmetric information about volatility: How does it affect implied volatility,option prices and market liquidity?

This paper develops a model of asymmetric information in which an investor has information regarding the future volatility of the price process of an asset and trades an option on the asset. The model relates the level and curvature of the smile in implied volatilities as well as mispricing by the Black-Scholes model to net options order flows (to the market maker). It is found that an increase in net options order flows (to the market maker) increases the level of implied volatilities and results in greater mispricing by the Black-Scholes model, besides impacting the curvature of the smile. The liquidity of the option market is found to be decreasing in the amount of uncertainty about future volatility that is consistent with existing evidence. This revised version was published online in June 2006 with corrections to the Cover Date.     

Intraday Patterns in FX Returns and Order Flow

Using a comprehensive high‐frequency foreign exchange data set, we present evidence of time‐of‐day effects in foreign exchange returns through a significant tendency for currencies to depreciate during local trading hours. We confirm this pattern across a range of currencies and time zones. We also find that this pattern is reflected in order flow and suggest that both patterns relate to the tendency of market participants to be net purchasers of foreign exchange in their own trading hours. Data from a single market maker appears to corroborate that interpretation.     

Order Form and Information in Securities Markets

This paper examines the effects of price-contingent orders on security prices. We show that a market maker who knows the type and composition of trades will set larger spreads and adjust prices faster than if price-contingent orders were not allowed. Because traders have rational expectations over the book, we demonstrate that uncertainty over order type reduces the variance of prices but with a corresponding loss in price informativeness. We also show that the sequence property of price-contingent orders increases the probability of large price movements. This distinction between variance and episodic price volatility has important policy implications.     

Trading around macroeconomic announcements: Are all traders created equal?

This paper examines the effects of macroeconomic announcements on equity index markets using high frequency transactions data for the regular and E-mini S&P 500 index futures contracts. For ten types of announcements that significantly affect prices, we analyze the price adjustment process and the trading patterns of exchange locals and off-exchange customers around the announcements. We find a large increase in trading activity immediately after the announcement. The results also show that during this initial surge in trading activity, locals are able to time their trades better than off-exchange traders even when locals do not have the advantage of access to the order flow. The trading strategy followed by exchange locals in the first 20 seconds after the announcement tends to be profitable, while off-exchange traders tend to make losing trades over the same time period. These results lend evidence that local traders tend to react to the macroeconomic information faster than off-exchange traders.     

夯实做市商制度建设协力推进外汇市场发展

近年来,外汇市场汇价波幅逐步有序拓宽,而面对不断扩大的汇率波幅,一些做市机构的交易员出现了不适应的情况。文章指出,外汇做市商制度的切实履行和健全完善,对于规范做市交易与市场良性交易氛围的形成和推广,具有至关重要的作用。文章介绍了我国外汇市场建立做市商制度的目的、所采取的相关配套制度改革,展望做市商考评机制的改进方向,并就进一步规范外汇市场发展提出相关倡议。     

TRADER EXPLOITATION OF ORDER FLOW INFORMATION DURING THE LTCM CRISIS

By using a unique data set of audit trail transactions, I examine the trading behavior of market makers in the Treasury-bond futures market during the Long-Term Capital Management (LTCM) crisis in 1998. I find strong evidence that during the crisis market makers in the aggregate engaged in anticipatory trading against customer orders from a particular clearing firm (coded PI7) that closely match various features of LTCM's trades through Bear Stearns. I also show that a significant percentage of market makers made abnormal profits during the crisis. Their aggregate abnormal profits, however, were more than offset by abnormal losses following the recapitalization of LTCM.     

An empirical comparison of quoted and implied bid–ask spreads on futures contracts

This paper investigates the performance of a range of alternative measures of quoted and implied bid–ask spreads on futures contracts, using a complete record of all quotes and trades. Accurate calibration of bid–ask spreads is important for many applications, including tests of market efficiency and assessment of market microstructure models. The results show that the transactions based spread measures are biased estimates of quoted and effective spreads, which illustrates the need for considered implementation of such measures. Similar intraday behaviour is shown by the different measures, with wide spreads at the open and narrow spreads at the close under a competing market maker environment.     

Liquidity in the Foreign Exchange Market: Measurement,Commonality, and Risk Premiums

We provide the first systematic study of liquidity in the foreign exchange market. We find significant variation in liquidity across exchange rates, substantial illiquidity costs, and strong commonality in liquidity across currencies and with equity and bond markets. Analyzing the impact of liquidity risk on carry trades, we show that funding (investment) currencies offer insurance against (exposure to) liquidity risk. A liquidity risk factor has a strong impact on carry trade returns from 2007 to 2009, suggesting that liquidity risk is priced. We present evidence that liquidity spirals may trigger these findings.     

Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze

This paper investigates an attempted delivery squeeze in a bond futures contract traded in London. Using cash and futures trades of dealers and customers, we analyze their strategic trading behavior, price distortion, and learning in a market manipulation setting. We argue that marked differences in settlement failure penalties in the cash and futures markets create conditions that favor squeezes. We recommend that regulators require special flagging of forward term repurchase agreements on the key deliverables that span futures contract maturity dates, and that exchanges mark-to-market their contract specifications more frequently, or consider a cash-settled contract on a basket of bonds.     

Insider trading in an equilibrium model with default: a passage from reduced-form to structural modelling

We study, in the framework of Back [Rev. Financial Stud. 5(3), 387–409 (1992)], an equilibrium model for the pricing of a defaultable zero coupon bond issued by a firm. The market consists of a risk-neutral informed agent, noise traders, and a market maker who sets the price using the total order. When the insider does not trade, the default time possesses a default intensity in the market’s view as in reduced-form credit risk models. However, we show that, in equilibrium, the modelling becomes structural in the sense that the default time becomes the first time that some continuous observation process falls below a certain barrier. Interestingly, the firm value is still not observable. We also establish the no expected trade theorem that the insider’s trades are inconspicuous.