Basics of US Treasury Futures Roll Microstructure
The Treasury futures roll occurs quarterly with the March, June, September, and December delivery cycle of Treasury futures contracts. Quantitative Brokers provides clients with multiple tools to achieve the best execution during the roll, including The Roll algorithm, roll timing forecasts, and the real-time roll tracker. Investors with positions in Treasury futures typically roll their positions when the beginning of the contract expiration month approaches. The deferred month, or the next quarterly contract, will become the new front month contract following expiration. Holders of long positions in the front month contract, who typically do not want to take delivery, sell to buy the deferred month contract, while holders of short positions in the front month will buy the front month contract and sell the deferred. This shift in open interest from the expiring front month contract to the deferred contract takes place before the delivery period begins.
For reference, the delivery period can be outlined as follows:
First Intention Day occurs two business days prior to the first day of the expiration month and is the first date that longs may be selected to take delivery. Therefore, long position holders would aim to complete their rolls by this date, or more specifically, by 18:00 Chicago time on this date. By this time, the large majority of the quarterly Treasury roll would have taken place.
First Notice Day is the day after First Intention Day, or the last business day of the month prior to the expiration month. Longs that were matched with shorts on First Intention Day are given instructions on how to take delivery, and the short’s clearing firm will invoice the long’s clearing firm by 14:00 Chicago time.
Delivery Day is the third final day of the delivery process and occurs the day after the First Notice Day. This is the day that shorts must have the Treasuries for delivery in their accounts, to be delivered to the longs.
The delivery period ends on the Last Delivery Day. For the 2-year, 3-year, and 5-year Treasury note futures, this occurs on the third business day of the month following the delivery month (April, July, October, January). For the 10-year Treasury note, 30-year Treasury bond, and Ultra T-bond futures, this occurs on the last business day of the delivery month. This report outlines key research components that must be analyzed when constructing an algorithm for trading the Treasury roll. Before delving into the research, we highlight two important factors of the US Treasury futures market microstructure:
The timing of the US Treasury Futures Roll
The matching engine for US Treasury Futures Spreads (CME)
Timing the Treasury Futures Roll
The Treasury futures roll period generally occurs during the 2–4 days before the First Intention Day. This is the optimal time to roll a futures position because of the opportunity to take advantage of peak liquidity. Figure 1 shows the average posted size for each calendar spread contract compared to its outright counterpart, averaged across six roll events from March 2010 through June 2011. First Intention Day is marked by 0 on the x-axis, illustrating that the bulk of roll activity, in terms of posted liquidity, occurs within the four days preceding it.
The Roll Matching Engine
Traders of the Treasury futures roll often assume that passive fills do not exist or are otherwise unattainable. Our research reveals the contrary. An often-overlooked aspect of trading the Treasury futures roll is the matching engine used by the exchange (CME Group) to assign fills. The matching algorithm used for all Treasury spread contracts is “Split FIFO/Pro-Rata.” Fills are allocated so that a percentage of every order is filled either FIFO or pro-rata. Pro-rata allocation for US Treasury futures spreads equals 100%. The fill allocation sequence is as follows:
TOP order = 100% allocation, then
Pro-rata allocation, 2 lot minimum (100%), then
Pro-rata leveling of 1 lot, based on original order size, and finally
FIFO on any residual lots
Knowledge of the exchange’s matching engine algorithm can be taken advantage of by using optimal order placement strategies to capture passive fills. Additionally, it is important to note that Treasury future spread contracts are Reduced Tick (RT) spreads, a feature unique to CME Group US Treasury futures. While the standard calendar spreads trade in published tick size of 1/32 or 1/2 of 1/32, the RT spreads trade in a reduced tick size of 1/4 of 1/32. Currently, CME group provides detailed quote data only for the 2-year and 5-year note Treasury futures. Our analysis of quote data of these two spread contracts from an average of the previous four roll cycles reveals that 85–90% of market orders are pro-rata fills, while 10–15% of market orders are allocated fills under time priority. This matching algorithm characteristic should become much more apparent to discern beginning on September 18, 2011, when CME Group will begin publishing individual match events for all Treasury spread contracts. In addition to the 2-year and 5-year Treasury futures spreads, the reporting will also include 3-year note, 10-year note, 30-year Treasury bond and Ultra T-bond futures spreads (as well as 2-year note futures outrights and Eurodollar futures).
Volume Curves of US Treasury Spread Futures
Economic events and data releases drive activity in interest rate markets, which is no exception during the roll period. Events that occur during the roll cycle could impact the timing of when market participants precisely decide to roll their positions. We analyze liquidity patterns during significant macroeconomic events during the roll period to anticipate shifts in volume and/or volatility. We track over 100 economic events/data releases and their impact on market volume and volatility. The events include FOMC meetings and rate decisions, Treasury and European debt auctions, and data releases, such as non-farm payrolls. To analyze the impact of these events during the roll cycle, we first create a base profile using the exponentially weighted rolling average of the spread volume during the past ten rolls, starting from March 2009. Subsequently, we calculate the impact of each significant event that is scheduled to occur during the roll period and layer this profile on top of the base profile. An event is considered statistically significant if it has occurred on at least three occasions within the ten previous roll cycles. Significant events that are scheduled during the upcoming roll period include, but are not limited to, the following:
GDP
New Home Sales
Durable Goods Orders
Pending Home Sales
Minutes of FOMC Meeting
US Treasury Auction: 2-year note
US Treasury Auction: 5-year note
The volume curve forecast is published for each spread contract daily from five business days before and after first intention day. The forecasted curves are used by our execution algorithms to generate a volume-based trade schedule for every incoming VWAP order.
Volatility Curves of US Treasury Spread Futures
Economic events that cause large spikes in volume naturally also cause swings in volatility. Market reactions to the information vary in speed, timing, and position taking; thus, execution algorithms must also be prepared for market volatility. As with the volume curves, our volatility curve forecasts track the impact of significant market events using exponentially-weighted historical volatility using data from the past five rolls, starting in June 2010. However, we use a real-time intraday volatility calculation in addition to the historical data. This intraday/historical volatility model is also used by our algorithms, upon receipt of an incoming order, to generate the order’s trade scheduled bands. This means that during periods of higher volatility, the schedule bands will tighten towards TWAP in order to mitigate exposure to volatility. Each individual spread contract has its own volatility scaling factor, that is, if an event impacts short-term interest rates more than long-term interest rates, the scale will be higher (and the bands tighter) for the short-term contracts. Figure 2 illustrates the volume and volatility forecasts that we have statistically generated for the 10-year note contract, for Monday, August 29, 2011 of the upcoming roll period, the business day prior to First Intention Day. The blue lines represent the projected percentage of total daily volume in 15-minute intervals. The red lines represent the projected volatility in ticks per 15 minute intervals. The economic data events scheduled for this day are PCE Core (MoM, YoY), Personal Income, and Personal Spending. Our research has found that across all spread contracts, liquidity dissipates approximately 15 minutes prior to the scheduled event. This probably occurs because the outcome of the event is unknown, so most market participants withdraw from the market. Once the data is released publicly, liquidity is replenished gradually in relation to the market reaction to the event. The staggered response causes volatility in the markets that must also be analyzed by the algorithm.
Large Trades
Traders of the Treasury futures roll often look to large prints in the market as indicators for when the larger players in the market are adjusting their risk into the deferred month. A common assumption is that the bulk of the large trades occur all at once, causing a significant shift in open interest. However, we have observed that large trades actually occur as early as one week before intention day, and that they are spread out across each day prior to intention day. Table 1 shows the table of large trade prints that occurred during the June 2011 roll cycle. The maximum trade size for all Treasury futures spread contracts is 30,000. We calculate the five largest trades that printed for each spread contract. Notable observations:
Most large trades occurred in the morning (Eastern Time)
The largest trades occur in the 10-year note futures spread
Algorithmic execution of Treasury spread futures requires thoughtful consideration to the market microstructure of the US Treasury futures roll. Many of the aforementioned concepts are often overlooked, yet can contribute to an advantageous reduction in transaction costs when utilized using a systematic approach.
Quantitative Brokers
February 1, 2022
New York, NY