Abstract
Assuming that investors can be foreign or local, do high-frequency trading (HFT) or not, and submit orders through a bank-owned or non-bank-owned broker, we associated trades to various investors. Then, building a panel vector autoregressive model, we analyzed the dynamic relation of these investors with returns and among each other before and during the COVID-19 market crash. Results show that investor groups have influence on each other. Their net purchases also interact with returns. Moreover, during the turmoil caused by the pandemic, except foreign investors not involved in HFT, the response of any investor group (retail/institutional, domestic investors doing HFT and those not doing HFT, and foreign investors doing HFT) significantly altered. This shows that the interrelation among investor groups is dynamic and sensitive to market conditions.
Original language | English |
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Article number | 14 |
Journal | International Journal of Financial Studies |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2024 |
Bibliographical note
Publisher Copyright:© 2024 by the authors.
Keywords
- Borsa Istanbul
- bank shares
- brokers
- foreign investors
- high-frequency trading (HFT)
- investor types
- panel vector autoregression