In this dissertation, we study the effect of recent regulatory and technological changes on trading
dynamics. Advances in communication and computing technologies have made millisecond
latencies as the new trading standard and have resulted in a new era of automated trading. The
introduction of Reg-NMS (Regulation National Market System, implemented in 2007) has set
strict rules for the access and removal of liquidity from the fragmented US equity market, de
facto linking the trading activities across trading venues. These transformations have not only
changed how equity markets function but also how market participants interact with the market
and among themselves.
We begin this study by examining how the introduction of Reg-NMS has affected the trading
strategies of fast, impatient traders. The implementation of Rule 611, which extends price priority
across all the trading venues in the National Market System, forces them to monitor all trading
venues in order to correctly asses the placement of their orders. We find evidence that because
of their impatient nature, these traders react to all events that negatively affect the position of
their orders, regardless of the venue of origin. This behavior results in an order flow that is made
up of a high volume of very short-lived limit orders, which is consistent with a previously studied,
but not yet fully explained, phenomenon of fleeting liquidity.
II
We then investigate whether fast, impatient traders are able to leverage their speed advantage
to turn market fragmentation in their favor. We find evidence that their ability to anticipate the
order flow of the other market participants, allows them to engage in a trading strategy that
relies on the simultaneous submission of multiple orders across exchanges. Such strategy, called
Overbooking, aims at executing only one of these orders rather than all of them and uses the
availability of multiple exchanges to increase the probability of execution while limiting the risk
of over execution thanks to their speed advantage.
Overall, our findings show that a sub group of traders was not only able to adapt to a changing
trading environment but actually take advantage of it. The Overbooking trading strategy is
effective at increasing the probability of execution while also decreasing execution time and it is
particularly effective for stocks with a high degree of competition for superior queue placement.
This suggests that the ability to effectively trade on multiple venues simultaneously allows fast,
impatient traders to avoid engaging in a costly algorithmic battle for a favorable queue
placement, or submitting very aggressively priced limit orders, to attain quick execution.
Moreover, our findings show that the actions of these traders, driven by their fast, and impatient
nature and constrained by the complex rules that regulate liquidity access and provision on the
National Market System, result in the linking of order flow dynamics across trading venues. We
find that the cancellation of an order can be determined by changes that have occurred
elsewhere in the market and that to model correctly order flow dynamics it is necessary to
include in the analysis the changes that occur on all trading venues. We also find that fast,
impatient traders, actively monitor the state of all trading venues after order submission, and
that they benchmark the present state of the market to the state at submission.
","abstract_html":"<p>In this dissertation, we study the effect of recent regulatory and technological changes on trading</p> <p>dynamics. Advances in communication and computing technologies have made millisecond</p> <p>latencies as the new trading standard and have resulted in a new era of automated trading. The</p> <p>introduction of Reg-NMS (Regulation National Market System, implemented in 2007) has set</p> <p>strict rules for the access and removal of liquidity from the fragmented US equity market, de</p> <p>facto linking the trading activities across trading venues. These transformations have not only</p> <p>changed how equity markets function but also how market participants interact with the market</p> <p>and among themselves.</p> <p>We begin this study by examining how the introduction of Reg-NMS has affected the trading</p> <p>strategies of fast, impatient traders. The implementation of Rule 611, which extends price priority</p> <p>across all the trading venues in the National Market System, forces them to monitor all trading</p> <p>venues in order to correctly asses the placement of their orders. We find evidence that because</p> <p>of their impatient nature, these traders react to all events that negatively affect the position of</p> <p>their orders, regardless of the venue of origin. This behavior results in an order flow that is made</p> <p>up of a high volume of very short-lived limit orders, which is consistent with a previously studied,</p> <p>but not yet fully explained, phenomenon of fleeting liquidity.</p> <p>II</p> <p>We then investigate whether fast, impatient traders are able to leverage their speed advantage</p> <p>to turn market fragmentation in their favor. We find evidence that their ability to anticipate the</p> <p>order flow of the other market participants, allows them to engage in a trading strategy that</p> <p>relies on the simultaneous submission of multiple orders across exchanges. Such strategy, called</p> <p>Overbooking, aims at executing only one of these orders rather than all of them and uses the</p> <p>availability of multiple exchanges to increase the probability of execution while limiting the risk</p> <p>of over execution thanks to their speed advantage.</p> <p>Overall, our findings show that a sub group of traders was not only able to adapt to a changing</p> <p>trading environment but actually take advantage of it. The Overbooking trading strategy is</p> <p>effective at increasing the probability of execution while also decreasing execution time and it is</p> <p>particularly effective for stocks with a high degree of competition for superior queue placement.</p> <p>This suggests that the ability to effectively trade on multiple venues simultaneously allows fast,</p> <p>impatient traders to avoid engaging in a costly algorithmic battle for a favorable queue</p> <p>placement, or submitting very aggressively priced limit orders, to attain quick execution.</p> <p>Moreover, our findings show that the actions of these traders, driven by their fast, and impatient</p> <p>nature and constrained by the complex rules that regulate liquidity access and provision on the</p> <p>National Market System, result in the linking of order flow dynamics across trading venues. We</p> <p>find that the cancellation of an order can be determined by changes that have occurred</p> <p>elsewhere in the market and that to model correctly order flow dynamics it is necessary to</p> <p>include in the analysis the changes that occur on all trading venues. We also find that fast,</p> <p>impatient traders, actively monitor the state of all trading venues after order submission, and</p> <p>that they benchmark the present state of the market to the state at submission.</p>","abstract_has_math":false,"creators":["Herman, Krzysztof"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Finance","degree_department":null,"school":null,"contributors":["Raja Velu"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-05-14T07:00:00Z","date_published":"2017-05-14T07:00:00Z","updated_at":"2026-07-24T04:55:19Z","subjects":["algorithmic trading","Market fragmentation","market microstructure","Business"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://surface.syr.edu/etd/726","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Raja Velu"]},{"key":"dc:creator","label":"Author","values":["Herman, Krzysztof"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Finance"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["algorithmic trading","Market fragmentation","market microstructure","Business"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://surface.syr.edu/etd/726"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In this dissertation, we study the effect of recent regulatory and technological changes on trading
dynamics. Advances in communication and computing technologies have made millisecond
latencies as the new trading standard and have resulted in a new era of automated trading. The
introduction of Reg-NMS (Regulation National Market System, implemented in 2007) has set
strict rules for the access and removal of liquidity from the fragmented US equity market, de
facto linking the trading activities across trading venues. These transformations have not only
changed how equity markets function but also how market participants interact with the market
and among themselves.
We begin this study by examining how the introduction of Reg-NMS has affected the trading
strategies of fast, impatient traders. The implementation of Rule 611, which extends price priority
across all the trading venues in the National Market System, forces them to monitor all trading
venues in order to correctly asses the placement of their orders. We find evidence that because
of their impatient nature, these traders react to all events that negatively affect the position of
their orders, regardless of the venue of origin. This behavior results in an order flow that is made
up of a high volume of very short-lived limit orders, which is consistent with a previously studied,
but not yet fully explained, phenomenon of fleeting liquidity.
II
We then investigate whether fast, impatient traders are able to leverage their speed advantage
to turn market fragmentation in their favor. We find evidence that their ability to anticipate the
order flow of the other market participants, allows them to engage in a trading strategy that
relies on the simultaneous submission of multiple orders across exchanges. Such strategy, called
Overbooking, aims at executing only one of these orders rather than all of them and uses the
availability of multiple exchanges to increase the probability of execution while limiting the risk
of over execution thanks to their speed advantage.
Overall, our findings show that a sub group of traders was not only able to adapt to a changing
trading environment but actually take advantage of it. The Overbooking trading strategy is
effective at increasing the probability of execution while also decreasing execution time and it is
particularly effective for stocks with a high degree of competition for superior queue placement.
This suggests that the ability to effectively trade on multiple venues simultaneously allows fast,
impatient traders to avoid engaging in a costly algorithmic battle for a favorable queue
placement, or submitting very aggressively priced limit orders, to attain quick execution.
Moreover, our findings show that the actions of these traders, driven by their fast, and impatient
nature and constrained by the complex rules that regulate liquidity access and provision on the
National Market System, result in the linking of order flow dynamics across trading venues. We
find that the cancellation of an order can be determined by changes that have occurred
elsewhere in the market and that to model correctly order flow dynamics it is necessary to
include in the analysis the changes that occur on all trading venues. We also find that fast,
impatient traders, actively monitor the state of all trading venues after order submission, and
that they benchmark the present state of the market to the state at submission.
"]},{"key":"dc:title","label":"Title","values":["Trading Dynamics in a Fragmented Market"]}]}],"canonical_facts":{"dc:contributor":["Raja Velu"],"dc:creator":["Herman, Krzysztof"],"dc:description.abstract":["In this dissertation, we study the effect of recent regulatory and technological changes on trading
dynamics. Advances in communication and computing technologies have made millisecond
latencies as the new trading standard and have resulted in a new era of automated trading. The
introduction of Reg-NMS (Regulation National Market System, implemented in 2007) has set
strict rules for the access and removal of liquidity from the fragmented US equity market, de
facto linking the trading activities across trading venues. These transformations have not only
changed how equity markets function but also how market participants interact with the market
and among themselves.
We begin this study by examining how the introduction of Reg-NMS has affected the trading
strategies of fast, impatient traders. The implementation of Rule 611, which extends price priority
across all the trading venues in the National Market System, forces them to monitor all trading
venues in order to correctly asses the placement of their orders. We find evidence that because
of their impatient nature, these traders react to all events that negatively affect the position of
their orders, regardless of the venue of origin. This behavior results in an order flow that is made
up of a high volume of very short-lived limit orders, which is consistent with a previously studied,
but not yet fully explained, phenomenon of fleeting liquidity.
II
We then investigate whether fast, impatient traders are able to leverage their speed advantage
to turn market fragmentation in their favor. We find evidence that their ability to anticipate the
order flow of the other market participants, allows them to engage in a trading strategy that
relies on the simultaneous submission of multiple orders across exchanges. Such strategy, called
Overbooking, aims at executing only one of these orders rather than all of them and uses the
availability of multiple exchanges to increase the probability of execution while limiting the risk
of over execution thanks to their speed advantage.
Overall, our findings show that a sub group of traders was not only able to adapt to a changing
trading environment but actually take advantage of it. The Overbooking trading strategy is
effective at increasing the probability of execution while also decreasing execution time and it is
particularly effective for stocks with a high degree of competition for superior queue placement.
This suggests that the ability to effectively trade on multiple venues simultaneously allows fast,
impatient traders to avoid engaging in a costly algorithmic battle for a favorable queue
placement, or submitting very aggressively priced limit orders, to attain quick execution.
Moreover, our findings show that the actions of these traders, driven by their fast, and impatient
nature and constrained by the complex rules that regulate liquidity access and provision on the
National Market System, result in the linking of order flow dynamics across trading venues. We
find that the cancellation of an order can be determined by changes that have occurred
elsewhere in the market and that to model correctly order flow dynamics it is necessary to
include in the analysis the changes that occur on all trading venues. We also find that fast,
impatient traders, actively monitor the state of all trading venues after order submission, and
that they benchmark the present state of the market to the state at submission.
"],"dc:identifier":["https://surface.syr.edu/etd/726"],"dc:subject":["algorithmic trading","Market fragmentation","market microstructure","Business"],"dc:title":["Trading Dynamics in a Fragmented Market"],"thesis:degree_discipline":["Finance"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T04:55:19Z"}