TY - JOUR
T1 - Limit order submission risks, order choice, and tick size
AU - Yamamoto, Ryuichi
N1 - Funding Information:
The author is grateful to Robert Faff (the Editor), an anonymous referee, and participants at seminars at the 25th International Conference on Computing in Economics and Finance (Ottawa, Canada) and the 27th annual meeting of the Nippon Finance Association (Tokyo, Japan) for useful suggestions and feedback on an earlier draft. Financial supports from the Ministry of Education , Japan, Grant-in-Aid for Scientific Research (B), 2019-2024 (Grant number: 19H01509 ), the Kansai University Fund for Supporting Outlay Research Centers, 2017, and Waseda University are gratefully acknowledged.
Funding Information:
The author is grateful to Robert Faff (the Editor), an anonymous referee, and participants at seminars at the 25th International Conference on Computing in Economics and Finance (Ottawa, Canada) and the 27th annual meeting of the Nippon Finance Association (Tokyo, Japan) for useful suggestions and feedback on an earlier draft. Financial supports from the Ministry of Education, Japan, Grant-in-Aid for Scientific Research (B), 2019-2024 (Grant number: 19H01509), the Kansai University Fund for Supporting Outlay Research Centers, 2017, and Waseda University are gratefully acknowledged.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/2
Y1 - 2020/2
N2 - We propose empirical measures of non-execution and picking-off risks and demonstrate that a minimum tick size reduction decreases non-execution risk but increases picking-off risk on the Tokyo Stock Exchange. This results in a higher tendency to submit aggressive orders for some stocks and cancel limit orders for the others. We conclude that our two limit order submission risks are crucial for understanding the results of past empirical studies that examine how minimum tick size reduction impacts limit order submission risks and why traders become aggressive in their order choice. We further show that our proposed measures of non-execution and picking-off risks are better variables than are proxies for the two risks such as spread (which have been suggested by previous empirical studies) or transaction cost measured by the relative tick size when analyzing the determination of the order choice and/or evaluating a minimum tick size reduction policy.
AB - We propose empirical measures of non-execution and picking-off risks and demonstrate that a minimum tick size reduction decreases non-execution risk but increases picking-off risk on the Tokyo Stock Exchange. This results in a higher tendency to submit aggressive orders for some stocks and cancel limit orders for the others. We conclude that our two limit order submission risks are crucial for understanding the results of past empirical studies that examine how minimum tick size reduction impacts limit order submission risks and why traders become aggressive in their order choice. We further show that our proposed measures of non-execution and picking-off risks are better variables than are proxies for the two risks such as spread (which have been suggested by previous empirical studies) or transaction cost measured by the relative tick size when analyzing the determination of the order choice and/or evaluating a minimum tick size reduction policy.
KW - Limit order submission risk
KW - Market microstructure
KW - Order aggressiveness
KW - Tick size
KW - Tokyo stock exchange
UR - http://www.scopus.com/inward/record.url?scp=85076932099&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076932099&partnerID=8YFLogxK
U2 - 10.1016/j.pacfin.2019.101261
DO - 10.1016/j.pacfin.2019.101261
M3 - Article
AN - SCOPUS:85076932099
SN - 0927-538X
VL - 59
JO - Pacific Basin Finance Journal
JF - Pacific Basin Finance Journal
M1 - 101261
ER -