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The increased prevalence of algorithmic trading (AT) has an economically meaningful positive effect on the sensitivity of corporate investment to stock prices. The effect is pervasive in that the positive impact of AT on the investment-to-price sensitivity holds in even stocks with relatively...
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We develop a parsimonious liquidity-adjusted downside capital asset pricing model to investigate if phenomena such as downward liquidity spirals and flights to liquidity impact expected asset returns. We find strong empirical support for the model. Downside liquidity risk (sensitivity of stock...
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Using the staggered entry of Chi-X in 12 European equity markets as a source of exogenous variation in high frequency trading (HFT), we find that HFT causes significant increases in co-movement in returns and in liquidity. About one-third of the increase in return co-movement is due to faster...
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A market is typically considered to dominate price discovery if it is the first to reflect new information about the fundamental value. Our simulations indicate that common price discovery metrics – Hasbrouck information share and Harris-McInish-Wood component share – are only consistent...
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We develop a return variance decomposition model to separate the role of different types of information and noise in stock price movements. We disentangle four components: market-wide information, private firm-specific information revealed through trading, firm-specific information revealed...
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We show that a type of market manipulation popularized in cryptocurrency markets is now also found in stock markets, an effect we term “crime contagion”. Manipulators gather traders in pseudo-anonymous online forums (e.g., Telegram) where they co-ordinate pump-and-dump attacks on stocks,...
Persistent link: https://www.econbiz.de/10014362052
We estimate that the actual prevalence of illegal insider trading is at least four times greater than the number of prosecutions. Using novel structural estimation methods that explicitly account for the incomplete and non-random detection and hand-collected data of all US prosecuted insider...
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