THE BLOTTER | 29 October 2013 | Volume 4 | Issue 11 The Blotter presents ITG’s insights on complex global market structure, technology, and policy issues. The Cost of the D-Quote Introduction Contributors Jeff Bacidore Managing Director Ben Polidore Managing Director Wenjie Xu Assistant Vice President contact Asia Pacific +852.2846.3500 Canada +1.416.874.0900 EMEA +44.20.7670.4000 United States +1.212.588.4000 [email protected] www.itg.com Traders commonly use market-on-close (MOC) or limit-on-close (LOC) orders to participate in the NYSE closing auction. An alternative mechanism is the D-Quote. Unlike MOC/LOC orders, which must be submitted prior to 3:45 unless offsetting a Regulatory Imbalance1, D-Quotes can be submitted or modified until 3:59:50, regardless of the current imbalance. Given the greater flexibility of D-Quotes, why don’t traders always use D-Quotes when participating in the close? In this note, we discuss the cost and benefits of D-Quotes. Specifically, the main benefit of D-Quotes is flexibility: D-Quotes can be submitted later than MOC/LOC orders, have no imbalance-related restrictions, and can be canceled until 3:59:50. The downside of D-Quotes is their tendency to be more impactful than similarlysided MOC orders, which we document empirically. Also, D-quotes involve additional operational risk due to their manual nature. Therefore, while D-Quotes may be useful in certain circumstances, their incremental flexibility comes at the cost of greater price impact and additional operational risk. Overview of D-Quotes D-Quotes can be used by floor traders throughout the trading day, including the opening and closing auctions, and allow floor traders to represent orders electronically but with “discretion” (the “d” in D-Quote).2 D-Quotes can be entered manually by the floor trader or can be received electronically, though orders submitted electronically must still be manually accepted.3 D-Quotes can participate exclusively in the closing auction, regardless of the existing imbalance – opposite or same side. D-Quotes can be submitted, modified or canceled at any time until 3:59:50 PM, which is nearly 15 minutes later than the cutoff for MOC/LOC orders at 3:45 PM. In addition, D-Quotes submitted to the closing auction are hidden from the public until 3:55 PM, at which time they are included in the NYSE closing imbalance message. The benefits of D-Quotes are that they are more flexible than MOC/LOC orders. This flexibility can be useful to traders who miss the 3:45 PM MOC cutoff, as well as for traders who aren’t committed to trading in the closing auction and may want to Regulatory Imbalances are generally larger than 50,000 shares. Traders may send offsetting MOC/LOC orders in response to Regulatory Imbalances. Otherwise, all MOC/LOC orders must be submitted prior to the 3:45 PM cutoff. See Bacidore, Polidore, Xu, and Yang (2013) for more details. 2 For more detail on D-Quotes, see NYSE Rule 70.25. 3 Floor brokers can accept multiple orders at a time. 1 29 October 2013 | Volume 4 | Issue 11 2 cancel later. Also, a trader working a large order may use a D-Quote simply to delay when their trading interest is included in the imbalance feed. THE BLOTTER The downside of the D-Quote is that the market has only 5 minutes to offset any significant imbalance revealed in the imbalance feed at 3:55 PM. And unless an opposite-sided Regulatory Imbalance already exists, traders can only offset this imbalance using D-Quotes. The short time frame coupled with relatively limited means of offsetting any imbalances can make large D-Quotes more impactful than similarly sized MOC orders, which we investigate empirically in the next sections. The other potential downside is the manual nature of D-Quotes, which can lead to increased operational risk (e.g., a floor trader does not acknowledge the order in a timely manner and misses the close). Price Impact of D-Quotes To better understand how prices respond to closing auction imbalances, we analyze how the market responds to imbalance information released at 3:45 PM, which contains only MOC/LOC imbalances, and to imbalance changes occurring when D-quotes are included at 3:55 PM. Since stocks with Regulatory Imbalances can be offset via MOC/LOC after 3:45 PM, we exclude Regulatory Imbalances from our sample to avoid mistakenly attributing imbalance changes around 3:55 PM to D-quotes when they were in fact due to MOC/LOC orders.4 Using imbalance feed data on all NYSE stocks for Q2 2013 (excluding Russell rebalance and triple witching days), we measure the price dislocation between 3:45 PM and the closing print.5 These dislocations depend critically on how D-Quotes affect the imbalance when they are included in the imbalance feed starting at 3:55 PM. Note that there are 5 different scenarios that could occur when D-Quote imbalances are included. D-Quotes can either: ¬¬ Increase an existing MOC/LOC imbalance; ¬¬ Have no impact on the imbalance at all (i.e., the change in imbalance is exactly zero); ¬¬ Decrease an existing MOC/LOC imbalance, but only partially; ¬¬ Decrease an existing MOC/LOC imbalance exactly to zero; or, ¬¬ Flip the direction of the MOC/LOC imbalance from sell to buy, or buy to sell. In Exhibit 1, we show the empirically estimated price paths for the 5 different scenarios. When D-Quotes are included in the imbalance at 3:55 PM, prices move further in the direction of the imbalance if they add to an existing imbalance, but revert if D-Quotes reduce imbalances. And when D-Quotes have no impact on the imbalances, there is no significant price impact at 3:55 PM. Regulatory imbalances occur in about 8.7% of cases in Q2 2013. Stock price dislocation refers to the price difference between the closing print and the market price at 3:45 PM. They are adjusted for market movement and standardized by the spread. 4 5 29 October 2013 | Volume 4 | Issue 11 3 EXHIBIT 1: Potential close price dislocation paths for closing auction order placement before 3:45 PM via D-Quote 15.00 10.00 5.00 0.00 Increase imbalance Decrease imbalance to 0 Do not change imbalance Close 4:00 3:59 3:58 3:57 3:56 3:55 3:54 3:53 3:52 3:51 3:50 3:49 3:48 3:47 3:46 -5.00 3:45 THE BLOTTER Mean price dislocation (bps) 20.00 Decrease imbalance but not flip imbalance side Decrease imbalance and flip imbalance side Overall Source: ITG Exhibit 1. Difference in mean price dislocation for closing auction orders placed via D-Quote vs. traditional MOC/LOC placement before the 3:45 PM cutoff. Closing auction orders may increase, decrease, or not change the imbalance; if they decrease the imbalance, they may decrease it, decrease it completely, or decrease it by so much that the imbalance side reverses. Price Dislocation of D-quotes vs. MOC orders We next run simulations to determine whether a given order would have more impact if sent as a D-Quote instead of an MOC order. The details of the simulations are contained in the Appendix. Intuitively, we model how prices respond to imbalances created at 3:45 PM and to those created at 3:55 PM using actual NYSE imbalance data. This allows us to determine not only the immediate price impact at the time of the imbalance, but also how the market responds to the imbalances over time (e.g., due to the arrival of offsetting orders). It is important to note that while our results are “simulated” in the sense that they are hypothetical, our “what ifs” are based on what actually happened in response to real imbalances created in the market in Q2 2013, so are not purely theoretical. Rather, we rely on simulations simply to help us characterize the relationship between imbalances and price dislocation in a more intuitive, apples-to-apples manner. Exhibit 2 shows how the cost of MOC/LOC orders compare to similarly sized D-quotes. This chart shows that D-Quotes are generally more impactful than MOC/ LOC orders, with the possible exception of the smallest order sizes when no significant difference exists. And as order sizes increase, D-quotes generally become even more impactful than MOC/LOC orders. This may not be too surprising given that the market only has 5 minutes to absorb any imbalance and can typically only do so by using D-Quotes. 29 October 2013 | Volume 4 | Issue 11 4 4.00 Using D-Quote - Using MOC/LOC 3.50 3.00 2.50 2.00 1.50 1.00 0.50 90 80 70 60 50 40 30 20 10 0.00 0 THE BLOTTER Difference in mean close price dislocation (bps) EXHIBIT 2: Difference in mean close price dislocation of using D-Quote and using MOC/LOC Order size (20-quantiles of typical imbalance volume) Source: ITG Exhibit 2. Difference in mean price dislocation for closing auction orders placed via D-Quote vs. traditional MOC/LOC placement before the 3:45 PM cutoff. For example, if we place an order for the closing auction via the D-Quote where the size is in the 50th percentile of imbalance volumes, D-quotes will be about 3 bps more expensive than an identical MOC order. Conclusion D-Quotes offer traders greater flexibility than MOC/LOC orders. Traders can submit and cancel D-Quotes up to 10 seconds before the close, regardless of the size or direction of any existing MOC/LOC imbalance. This is particularly useful for traders who are not committed to trading in the close as well as those that simply missed the MOC/LOC cutoff. But such participation comes with potential costs. D-Quotes are generally a more costly way to participate in the closing auction since they create greater price dislocation than similarly-sized MOC orders on average. D-Quotes also have increased risk due to the manual nature of D-Quotes. This risk is especially pronounced when markets are under stress or near the D-Quote cutoff time. Therefore, D-Quotes are not a good substitute for MOC orders. Rather, they simply provide greater flexibility, at the expense of greater price impact and potentially greater risk. 29 October 2013 | Volume 4 | Issue 11 5 References Bacidore, J., B. Polidore, W. Xu, and Y. Yang, “Trading Around the Close”, Journal of Trading, Vol. 8, No. 1 (Winter 2013), pp. 48-57. APPENDIX: METHODOLOGY THE BLOTTER We run simulations to determine how much price dislocation a given order would cause if submitted as an MOC order or as a D-quote. To do this, we use actual imbalance information data to characterize how markets react to imbalances created by imbalances due to MOC/LOC orders (at 3:45 PM) and those created by D-quotes (at 3:55PM). As noted above, there are 5 different price paths that a given order could have followed had it been sent as an MOC/LOC and included at the imbalance as of 3:45 PM. For each path and time period, we build a model to estimate the price dislocation using predictors such as the corresponding MOC/LOC imbalance and/or D-Quote size. We also build a model estimating the D-Quotes size using the initial MOC/LOC imbalance. Thus, given an initial order size, we can use these models to simulate the price path when our order is added to the initial MOC/LOC imbalance or to the D-Quote. With these models in hand, we run our simulations as follows. We first fix the hypothetical order size. We then create a simulated trade by first assuming that this order was sent as an MOC order. For this particular “draw”, we first randomly determine the initial MOC/LOC imbalance as of 3:45 PM . We then randomly pick one of the five potential price paths for this draw, with the probability of any path being chosen being determined by how frequently each path occurs in the historical data. For example, if the probability of an imbalance being reduced after 3:45 PM were 40%, then we would draw that path with probability 0.4 (i.e., 40% of the time). We then compute the expected price dislocation for this draw and store it. We repeat this process over a large number of draws to get a sample of possible price dislocations that this order could generate. To compute the average dislocation for an MOC order of this size, we simply average the price dislocation across all draws. We then repeat this process but assume that the order was submitted not as an MOC, but as a D-Quote. We can then compare the average price dislocation of the MOC order to the average simulated price dislocation of the identical D-quote, and plot this point in Exhibit 2. We then repeat this process until we have the 10 data points in Exhibit 2, one for each hypothetical order size. ©2013 Investment Technology Group, Inc. All rights reserved. Not to be reproduced or retransmitted without permission. 101513-16783 The opinions, positions, and/or predictions taken or made in this document reflect the judgment of the individual author(s) and are not necessarily those of ITG. These materials are for informational purposes only, and are not intended to be used for trading or investment purposes or as an offer to sell or the solicitation of an offer to buy any security or financial product. Nothing contained herein should be relied upon as a representation, guarantee, or warranty as to the reasonableness of the assumptions or the accuracy of the sources used by the author(s). These materials do not provide any form of advice (investment, tax or legal). ITG Inc. is not a registered investment adviser and does not provide investment advice or recommendations to buy or sell securities, to hire any investment adviser or to pursue any investment or trading strategy.
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