TY - JOUR
T1 - Order aggressiveness, pre-trade transparency, and long memory in an order-driven market
AU - Yamamoto, Ryuichi
N1 - Funding Information:
The author is grateful to Carl Chiarella (the Editor) and two anonymous referees who provided useful suggestions and feedback on an earlier draft. I would also like to thank Blake LeBaron for stimulating discussions. This paper has also benefited from comments by participants at the 11th Workshop on Optimal Control, Dynamic Games, and Nonlinear Dynamics (Amsterdam), Eastern Economic Association annual conference (New York City), and a research seminar at Academia Sinica (Taipei). Financial support from the National Science Council (Grant No. 99-2410-H-004-056 ) is gratefully acknowledged.
PY - 2011/11
Y1 - 2011/11
N2 - Recent empirical research has documented that the state of the limit order book influences stock investors' strategies. Investors place more aggressive orders when the same side of the order book is thicker, and less aggressive orders when it is thinner. We conjecture and demonstrate that this behavior is related to long memories of trading volume, volatility, and order signs in stock markets. We investigate our conjecture in two types of artificial stock markets: a transparent market, in which agents observe all limit orders on both sides of the book and order volumes at those prices before they trade; and a less transparent market, in which agents observe only the best five bid and ask quotes with the depth available at these limit prices. The first market structure resembles certain actual stock exchanges in the level of pre-trade transparency, such as the Australian Stock Exchange, NYSE OpenBook, and the London Stock Exchange, whereas the second market structure is consistent with stock exchanges such as Euronext Paris, the Toronto Stock Exchange, the Tokyo Stock Exchange, and Hong Kong Exchanges and Clearing. We demonstrate that our long memory results are robust with different levels of pre-trade transparency, implying that the strategy constructed by the state of the order book is key for explaining long memories in many actual stock exchanges.
AB - Recent empirical research has documented that the state of the limit order book influences stock investors' strategies. Investors place more aggressive orders when the same side of the order book is thicker, and less aggressive orders when it is thinner. We conjecture and demonstrate that this behavior is related to long memories of trading volume, volatility, and order signs in stock markets. We investigate our conjecture in two types of artificial stock markets: a transparent market, in which agents observe all limit orders on both sides of the book and order volumes at those prices before they trade; and a less transparent market, in which agents observe only the best five bid and ask quotes with the depth available at these limit prices. The first market structure resembles certain actual stock exchanges in the level of pre-trade transparency, such as the Australian Stock Exchange, NYSE OpenBook, and the London Stock Exchange, whereas the second market structure is consistent with stock exchanges such as Euronext Paris, the Toronto Stock Exchange, the Tokyo Stock Exchange, and Hong Kong Exchanges and Clearing. We demonstrate that our long memory results are robust with different levels of pre-trade transparency, implying that the strategy constructed by the state of the order book is key for explaining long memories in many actual stock exchanges.
KW - Agent-based modeling
KW - Long memory
KW - Market microstructure
KW - Order aggressiveness
KW - Pre-trade transparency
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U2 - 10.1016/j.jedc.2011.06.009
DO - 10.1016/j.jedc.2011.06.009
M3 - Article
AN - SCOPUS:80053191565
SN - 0165-1889
VL - 35
SP - 1938
EP - 1963
JO - Journal of Economic Dynamics and Control
JF - Journal of Economic Dynamics and Control
IS - 11
ER -