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Jumps in high-frequency data : spurious detections, dynamics, and news
Bajgrowicz, Pierre; Scaillet, Olivier - 2011
jumps. Jumps, High-Frequency Data, Spurious Detections, Jumps Dynamics, News Releases, Cojumps …
Persistent link: https://www.econbiz.de/10009313027
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Price impact of aggressive liquidity provision
Gençay, Ramazan; Mahmoodzadeh, Soheil; Rojček, Jakub; … - 2016
takers. During bursts, market makers no longer passively impound information from order flow into quotes-a departure from the …
Persistent link: https://www.econbiz.de/10011516027
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Time-Varying Volatility and the Power Law Distribution of Stock Returns
Warusawitharana, Missaka - 2016
While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that time-varying volatility can account for the power law property of high frequency stock returns. The power...
Persistent link: https://www.econbiz.de/10013210380
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Deep learning for asset bubbles detection
Bashchenko, Oksana; Marchal, Alexis - 2020
We develop a methodology for detecting asset bubbles using a neural network. We rely on the theory of local martingales in continuous-time and use a deep network to estimate the diffusion coefficient of the price process more accurately than the current estimator, obtaining an improved detection...
Persistent link: https://www.econbiz.de/10012181227
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The reception of public signals in financial markets : what if central bank communication becomes stale?
Ehrmann, Michael; Sondermann, David - 2009
How do financial markets price new information? This paper analyzes price setting at the intersection of private and … public information, by testing whether and how the reaction of financial markets to public signals depends on the relative … importance of private information in agents’ information sets at a given point in time. It studies the reaction of UK short …
Persistent link: https://www.econbiz.de/10003963731
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ETFs, arbitrage, and contagion
Ben-David, Itzhak; Franzoni, Francesco; Moussawi, Rabih - 2012 - March 2012
Recent literature suggests that trading by institutional investors may affect the first and second moments of returns. Elaborating on this intuition, we conjecture that arbitrageurs can propagate liquidity shocks between related markets. The paper provides evidence in this direction by studying...
Persistent link: https://www.econbiz.de/10009554748
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Are Household Investors Noise Traders : Evidence from Belief Dispersion and Stock Trading Volume
Li, Dan - 2014
randomly, likely possess and trade on information that is not available to professional investors …
Persistent link: https://www.econbiz.de/10013053896
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A Stock Return Decomposition Using Observables
Knox, Benjamin; Vissing-Jorgensen, Annette - 2022
We propose a method to decompose stock returns period by period. First, we argue that one can directly estimate expected stock returns from securities available in modern financial markets (using the real yield curve and the Martin (2017) equity risk premium). Second, we derive a return...
Persistent link: https://www.econbiz.de/10013293230
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News Versus Sentiment : Predicting Stock Returns from News Stories
Heston, Steven L. - 2016
This paper uses a dataset of more than 900,000 news stories to test whether news can predict stock returns. We measure sentiment with a proprietary Thomson-Reuters neural network. We find that daily news predicts stock returns for only 1 to 2 days, confirming previous research. Weekly news,...
Persistent link: https://www.econbiz.de/10013210411
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Cybersecurity risk
Florackis, Chris; Louca, Christodoulos; Michaely, Roni; … - 2020 - This version: December 3rd 2020
high cybersecurity risk. Reassuringly, the measure is higher in information-technology industries, correlates with …
Persistent link: https://www.econbiz.de/10012419704