Upstairs Market for Principal and Agency Trades: Analysis of Adverse Information and Price Effects

This paper directly tests the hypothesis that upstairs intermediation lowers adverse selection cost. We find upstairs market makers effectively screen out information-motivated orders and execute large liquidity-motivated orders at a lower cost than the downstairs market. Upstairs markets do not cannibalize or free ride off the downstairs market. In one-quarter of the trades, the upstairs market offers price improvement over the limit orders available in the consolidated limit order book. Trades are more likely to be executed upstairs at times when liquidity is lower in the downstairs market.     

In search of liquidity: block trades in the upstairs and downstairs markets

We analyze the ability of various market mechanisms to provideliquidity for large equity trades. Using data on 21,077 blocktransactions in Dow Jones stocks, we find that the 'downstairs'NYSE floor market is a significant source of liquidity. Althoughnegotiation in the informal 'upstairs' market provides betterexecution than the downstairs market for large trades, thesedifferences are economically small. We find, however, that upstairsmarkets are used by traders who can credibly signal that theirtrades are liquidity motivated. Thus, upstairs markets allowtrades that may not otherwise occur.     

Do uninformed crossed and internalized trades tap into unexpressed liquidity? The case of Nokia

Crossed and internalized upstairs trades are analysed in a dataset in which institutional investors can be identified. Earlier findings that upstairs trading is uninformed, taps into unexpressed liquidity, and does not affect market quality are revisited. The permanent price effect of crossings and internalized upstairs trades is significantly lower than that of limit order book trades due to the fact that the least informed institutional trades are routed upstairs. Crossed and internalized trades affect the depth and transaction costs in the limit order book and a greater reliance is placed on the upstairs market when liquidity is low and volatility is high.     

The implications of a price anchoring effect at the upstairs market of the London Stock Exchange

This paper studies the upstairs market of the Stock Exchange Trading System (SETS) of the London Stock Exchange (LSE). We hypothesise that the implicit interaction between the upstairs and the downstairs markets at the LSE alters the pricing mechanism at the upstairs market. We show that market makers employ “cluster undercutting” practices in the upstairs market, which are based on a notional minimum price increment and resemble an anchoring-and-adjustment effect. In particular, we report that liquidity providers consistently buy just below the implicit minimum price increment and consistently sell just above it. This finding is strongly related to stock-price momentum and periods of increased trade intensity. Overall, this effect has only a weak connection to differences in informed trading and is mostly related to the notional price barriers and resistance levels introduced by the minimum tick size of the order book.     

Financial intermediation and the role of price discrimination in the foreign exchange market

Foreign exchange trading is performed in opaque and decentralized markets. The two-tier market structure consisting of a customer segment and an interdealer segment to which only market makers have access gives rise to the possibility of price discrimination. We develop a theoretical pricing model that accounts for market-power considerations and analyze a database of the trades of a foreign exchange market maker. We find that the market maker generally exerts low bargaining power vis-á-vis customers. The dealer earns lower average spreads on trades with financial customers than commercial customers, even though the former are perceived to convey exchange-rate-relevant information.     

The Role of Tick Size in Upstairs Trading and Downstairs Trading

This paper examines the impact of reducing the tick size on market-making behavior on The Toronto Stock Exchange. The results indicate a significant decrease in the percentage of trades of fewer than 10,000 shares involving the upstairs traders and a significant increase in the percentage of trades of fewer than 1,000 share involving the designated market makers. Consistent with this finding, the upstairs traders earn significantly lower returns on non-block trades and the designated market markers earn lower returns on trades smaller than 1,000 shares. We conclude the tick size reduction benefits the trading public.Journal of Economic LiteratureClassification Numbers, G20, G24.     

The informational effect and market quality impact of upstairs trading and fleeting orders on the Australian Securities Exchange

This paper investigates the informational effect of trading and market segmentation on the Australian Securities Exchange (ASX) paying particular attention to the recent phenomenon: fleeting orders.¹ Confirming theoretical predictions, this study finds that permanent price effect (PPE) is significantly greater in the central limit order book (LOB) than in the upstairs market and that less informed institutional trades are routed to the upstairs market. It also finds that a well functioning upstairs market often results in lower transaction cost, higher volatility and larger trade size on the ASX. In the context of fleeting orders specifically, it finds the informational effect and market quality impact of upstairs market to be weaker after removing fleeting orders, which subsequently leads to the conclusion that recently introduced execution algorithms, which leave a trace of fleeting orders, often result in lower PPE and are mostly used my uninformed liquidity traders.     

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)     

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.     

Liquidity, analysts, and institutional ownership

In this paper, we investigate the empirical relationship between institutional ownership, number of analysts following and stock market liquidity. We find that firms with larger number of financial analysts following have wider spreads, lower market quality index, and larger price impact of trades. However, we find that firms with higher institutional ownership have narrower spreads, higher market quality index, and smaller price impact of trades. In addition, we show that changes in our liquidity measures are significantly related to changes in institutional ownership over time. These results suggest that firms may alleviate information asymmetry and improve stock market liquidity by increasing institutional ownership. Our results are remarkably robust to different measures of liquidity and measures of information asymmetry.     

Intraday Behavior of Stock Prices and Trades around Insider Trading

Our evidence indicates that insiders' trades provide significant new information to market participants and they are incorporated more fully in stock prices as compared to noninsiders' trades. We find that market professionals do not front-run insiders' trades. Both insiders' purchases and sales result in significant contemporaneous and subsequent price impact, while sales by large shareholders result in a contemporaneous stock price decline that is subsequently reversed. The arrival of insider purchases reverse the prevailing negative order imbalances from third party trades and lead to piggy-backing by market professionals resulting in subsequent market purchase orders as well as stock price increases.     

The upstairs market for large-block transactions: analysis and measurement of price effects

This article develops a model of the upstairs market where ordersize, beliefs and prices are determined endogenously. We testthe model's predictions using unique data for 5,625 equity tradesduring the period 1985 to 1992 that are known to be upstairstransactions and are identified as either buyer or seller initiated.We find that price movements prior to the trade date are significantlypositively related to trade size, consistent with informationleakage as the block is 'shopped' upstairs. Further, the temporaryprice impact or liquidity effect is a concave function of ordersize, which may result from upstairs intermediation.     

The Price Impacts of Open Market Repurchase Trades

Abstract:  This paper analyzes a database of 60,000+ individual repurchase trades from the Toronto Stock Exchange. The average intraday price impact of repurchase trades is negative, since, because of execution rules, 60% are seller-initiated. Prices fall less following repurchase than matched non-repurchase trades—there is an abnormal price impact. We find evidence consistent with two hypotheses: repurchases provide price support, and the market learns that the shares are undervalued. Consistent with the latter, we find that repurchasing companies have superior timing. Share prices show abnormal losses (gains) before (after) the repurchase trades. We find no significant market reaction to the mandatory public disclosure of the trade details.     

Permanent trading impacts and bond yields

We analyse four years of transaction data for euro-area sovereign bonds traded on the MTS electronic platforms. In order to measure the informational content of trading activity, we estimate the permanent price response to trades. We not only find strong evidence of information asymmetry in sovereign bond markets, but also show the relevance of information asymmetry in explaining the cross-sectional variations of bond yields across a wide range of bond maturities and countries. Our results confirm that trades of more recently issued bonds and longer maturity bonds have a greater permanent effect on prices. We compare the price impact of trades for bonds across different maturity categories and find that trades of French and German bonds have the highest long-term price impact in the short maturity class, whereas trades of German bonds have the highest permanent price impact in the long maturity class. More importantly, we study the cross-section of bond yields and find that after controlling for conventional factors, investors demand higher yields for bonds with larger permanent trading impact. Interestingly, when investors face increased market uncertainty, they require even higher compensation for information asymmetry.     

Stealth trading: The case of the Tokyo Stock Exchange

The stealth trading hypothesis asserts that informed traders trade strategically by breaking up their orders so as to more easily hide among the liquidity traders. Using data for the Tokyo Stock Exchange (TSE), a pure order-driven market, we find evidence that price changes are driven by small- and medium-size trades, with small trades making the greatest contribution to price change relative to their contribution to trading volume. We also find that large trades explain a greater portion of the cumulative price change on high volatility days. Hence, our results support the stealth trading hypothesis for the TSE.     

INTRADAY STEALTH TRADING: WHICH TRADES MOVE PRICES DURING PERIODS OF HIGH VOLUME?

Research documents a U-shaped intraday pattern of returns. We examine which trade sizes drive the U-shaped pattern and find that intraday price changes from larger trades exhibit a U-shaped pattern whereas price changes from smaller trades show a reverse U-shaped pattern. We argue that price changes from smaller trades are higher during the middle of the day because informed investors break up their trades to disguise their information when intraday volume is low. Price changes from larger trades are likely higher at the beginning and end of the day because high volume allows informed investors to increase their trade size without revealing their information to the market.     

Price impact of block trades: the curious case of downstairs trading in the EU emissions futures market

Using high-frequency data from the European Climate Exchange (ECX), we examine the determinants of price impact of €21 billion worth of block trades during 2008–2011 in the European carbon market. We find that wider bid-ask spreads and volatility are characterised by a smaller price impact. Larger levels of price impact are more likely to occur during the middle of the trading day, specifically the four-hour period between 11 a.m. and 3 p.m., than during the first or final hours. Purchase block trades induce a relatively smaller price impact on price run-up, while sell block trades exhibit a larger price impact on price run-up. We conclude that block trades on the ECX induce less price impact than in equity or conventional futures markets, and that a significant proportion of the effects contradict findings on block trades in those markets; thus, we provide the first evidence of the curious bent to block trading in the European Union emissions trading scheme.     

Is market impact a measure of the information value of trades? Market response to liquidity vs. informed metaorders

We examine a data-set of institutional trades where approximately one-fourth of the trades were labelled as having been created for cash flow purposes. We aggregate near-overlapping trades into metaorders and consider information, market impact and metaorder size. We find that during the execution, the functional form and scale of market impact are similar for cash flows and other metaorders. Differences arise in the price reversion following the end of a metaorder. For cash flows, presumed to have no true information content, the impact reverts almost completely on average in two to five days. For other metaorders, we find that reversion erases about one-third of the peak impact: for each size, price reverts to the average execution price, leaving no immediate profits after accounting for trading costs. Observed mark-to-market profits on metaorders that aggregate multiple portfolio manager orders, new metaorders and Nasdaq-listed stocks suggest that these metaorders are more informed than the average. Vice-versa, we find mark-to-market losses are more likely to occur on cash flows, metaorders in large-cap stocks, metaorders that follow momentum and additions to a prior position seeking to take advantage of an improved price. The complete price reversion for cash flows suggests that the mechanical permanent impact that is considered in no-quasi-arbitrage arguments would be much smaller than the information in typical institutional metaorders.     

The role of trades in price convergence: A study of dual-listed Canadian stocks

We examine the role of trades in restoring price parity for equities trading in multiple markets. Using a sample of stocks trading on the Toronto Stock Exchange and on the NYSE, AMEX or NASDAQ, we contrast price convergence when market makers (a) observe only lagged quotes from both markets and (b) also observe local order flow. Traditional error correction model estimates show that prices in the two markets adjust towards parity in response to quoted price discrepancies, meaning that observation of the cross-market quote helps restore parity. Including order flow in an augmented error correction model, we find that incremental price convergence occurs when trades are routed to the market with the better price, and the importance of quotes in the price convergence process is reduced. Cross-sectional analysis reveals that the importance of order flow in each market is decreasing in firm size and increasing in measures of liquidity. Our findings point to an important, and hitherto unexamined, role for trades in promoting inter-market price convergence.     

Size Effects in the Pricing of Corporate Bonds

Large orders for corporate bonds get preferential treatment unlike large orders for stocks on the NYSE. A structural explanation, namely, that the corporate bond market is dealer‐dominated, has been offered for the favorable pricing. In this paper, we offer an additional explanation, namely, that the improved pricing for large orders is due to the net impact such orders have on a market maker's costs. Using a data sample that is substantially free of timing mismatch, we support our assertion by sorting the sample into ‘brokered’ trades, which are trades where the dealer merely crosses buy and sell orders and ‘inventoried’ trades, where the dealer trades out of his inventory. We find that large orders raise information costs, but lower inventory costs for ‘inventoried’ trades. The net result is a smaller price advantage than received by large orders on ‘brokered’ trades which are not subject to these costs.