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Options trading and stock price informativeness
Cao, Jie Jay; Goyal, Amit; Ke, Sai; Zhan, Xintong - 2019
We find that single-name options trading increases the absolute level of information content of prices (stock price … volume. Our findings are through the channels of investors' acquiring more information and through managers' information … disclosure. The findings are driven by firms with higher information asymmetry and firms with more efficiently priced options …
Persistent link: https://www.econbiz.de/10012179434
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High-frequency jump analysis of the bitcoin market
Scaillet, Olivier; Treccani, Adrien; Trevisan, Christopher - 2017
We use the database leak of Mt. Gox exchange to analyze the dynamics of the price of bitcoin from June 2011 to November …
Persistent link: https://www.econbiz.de/10011762219
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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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Equity Volatility Term Premia
Van Tassel, Peter - 2020
This paper estimates the term-structure of volatility risk premia for the stock market. Realized variance term premia are increasing in systematic risk and predict variance swap returns. Implied volatility term premia are decreasing in risk initially, but then increase at a lag, predicting VIX...
Persistent link: https://www.econbiz.de/10012851215
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A penalized two-pass regression to predict stock returns with time-varying risk premia
Bakalli, Gaetan; Guerrier, Stéphane; Scaillet, Olivier - 2021
We develop a penalized two-pass regression with time-varying factor loadings. The penalization in the first pass enforces sparsity for the time-variation drivers while also maintaining compatibility with the no arbitrage restrictions by regularizing appropriate groups of coefficients. The second...
Persistent link: https://www.econbiz.de/10012487589
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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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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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Minimum Price Increment, Competition for Liquidity Provision, and Price Discovery
Fleming, Michael J.; Nguyen, Giang; Ruela, Francisco - 2021
, supporting the idea that a finer pricing grid allows traders to act promptly on even small information signals otherwise not …
Persistent link: https://www.econbiz.de/10013244513
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Credit Default Swap Spreads and Variance Risk Premia
Zhou, Hao - 2011
We find that firm-level variance risk premium, estimated as the difference between option-implied and expected variances, has a prominent explanatory power for credit spreads in the presence of market- and firm-level risk control variables identified in the existing literature. Such a...
Persistent link: https://www.econbiz.de/10013118597