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Proprietary algorithmic traders and liquidity supply during the pandemic
被引:1
|作者:
Banerjee, Anirban
[1
]
Nawn, Samarpan
[2
]
机构:
[1] Indian Inst Management, Ahmadabad 380015, India
[2] Indian Inst Management Udaipur, Udaipur 313001, India
关键词:
Market microstructure;
HFT;
Liquidity crisis;
Passivity;
MARKET;
PROVISION;
D O I:
10.1016/j.frl.2024.105052
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
This study documents the liquidity -supplying behavior of proprietary algorithmic traders during the abrupt and sustained market decline caused by the COVID-19 outbreak. The findings suggest that these endogenous liquidity providers reduced their supply of liquidity during sustained market stress that lasted several days. Proprietary algorithmic traders showed a greater propensity to trade via market orders, reduced the fraction of contrarian trades, and reduced their share of order book depth compared to other traders during the in-COVID period. Our work provides the first direct evidence of the behavior of proprietary algorithmic traders during the pandemic.
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页数:10
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