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Precious metals under the microscope : a high-frequency analysis
Caporin, Massimiliano; Ranaldo, Angelo; Velo, Gebriel G. - 2014
, volume, and selected liquidity measures. We find clear evidence of periodic patterns matching the trading hours of the most …
Persistent link: https://www.econbiz.de/10010407214
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Fourier analysis for stock price forecasting : assumption and evidence
Stádník, Bohumil; Raudeliūnienė, Jurgita; … - In: Journal of business economics and management 17 (2016) 3, pp. 365-380
Persistent link: https://www.econbiz.de/10011517950
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Are Algorithmic Trades Informed? - An Empirical Analysis of Algorithmic Trading Around Earnings Announcements
Frino, Alex - 2015
This study examines the impact of corporate earnings announcements on trading activity and speed of price adjustment, analyzing algorithmic and non–algorithmic trades during the immediate period pre– and post– corporate earnings announcements. We confirm that algorithms react faster and...
Persistent link: https://www.econbiz.de/10013036599
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Does high frequency algorithmic trading matter for non-AT investors?
Kelejian, Harry H.; Mukerji, Purba - In: Research in international business and finance 37 (2016), pp. 78-92
Persistent link: https://www.econbiz.de/10011595131
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Risk metrics and fine tuning of high-frequency trading strategies
Cartea, Álvaro; Jaimungal, Sebastian - In: Mathematical finance : an international journal of … 25 (2015) 3, pp. 576-611
Persistent link: https://www.econbiz.de/10011350564
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An empirical analysis of algorithmic trading around earnings announcements
Frino, Alex; Prodromou, Tina; Wang, George H. K.; … - In: Pacific-Basin finance journal 45 (2017), pp. 34-51
Persistent link: https://www.econbiz.de/10011800806
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Algorithmic trading : intraday profitability and trading behavior
Arumugam, Devika - In: Economic modelling 128 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014464406
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Does trade clustering reduce trading costs? : evidence from periodicity in algorithmic trading
Muravyev, Dmitriy; Picard, Joerg - In: Financial management : FM 51 (2022) 4, pp. 1201-1229
Persistent link: https://www.econbiz.de/10013468513
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Brunt of technology in stock trading : empirical evaluation of movement in trading modes
Ravinagarajan, Janani; Sophia, Sharon - In: International journal of electronic finance : IJEF 12 (2023) 2, pp. 117-141
Persistent link: https://www.econbiz.de/10014309639
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Liquidity commonality and high frequency trading : Evidence from the French stock market
Anagnostidis, Panagiotis - 2020
. Theory predicts this technological advantage should translate into market-wide liquidity co-variation, by transmitting … information-based liquidity shocks. Using a dataset of orders and trades from the French stock market, we investigate whether HFT … algorithms constitute a source of systematic liquidity risk. We demonstrate that, across securities, the liquidity offered by …
Persistent link: https://www.econbiz.de/10012852964