Stability Effects of Arbitrage in Exchange Traded Funds: An Agent-Based Model

被引:2
|
作者
Shearer, Megan [1 ]
Byrd, David [2 ]
Balch, Tucker Hybinette [3 ]
Wellman, Michael P. [1 ]
机构
[1] Univ Michigan, Ann Arbor, MI 48109 USA
[2] Bowdoin Coll, Brunswick, ME 04011 USA
[3] JP Morgan AI Res, New York, NY USA
来源
ICAIF 2021: THE SECOND ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE | 2021年
基金
美国国家科学基金会;
关键词
ETF arbitrage; mini flash crash; empirical game-theoretic analysis; MARKET;
D O I
10.1145/3490354.3494414
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
An index-based exchange traded fund (ETF) with underlying securities that trade on the same market creates potential opportunities for arbitrage between price deviations in the ETF and the corresponding index. We examine whether ETF arbitrage transmits small volatility events, termed mini flash crashes, from one of its underlying symbols to another. We address this question in an agent-based, simulated market where agents can trade an ETF and its two underlying symbols. We explore multiple market configurations with active and inactive ETF arbitrageurs. Through empirical game-theoretic analysis, we find that when arbitrageurs actively trade, background traders' surplus increases because of the increased liquidity. Arbitrage helps the ETF more accurately track the index. We also observe that when one symbol experiences a mini flash crash, arbitrage transmits a price change in the opposite direction to the other symbol. The size of the mini flash crash depends more on the market configuration than the arbitrageurs, but the recovery of the mini flash crash is faster when arbitrageurs are present.
引用
收藏
页数:9
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