The Impact of Trades on Daily Volatility
By Doron Avramov, Tarun Chordia, Amit Goyal. 2006
276 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/eed3eee1b37bce78dae0895f1d6625a0d1acf302
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Finance
- Kuan-Hui Lee
- Patrick J. Dennis
- Karl B. Diether
- Stewart Mayhew
- Chris Stivers
- Eric Ghysels
- Ekkehart Boehmer
- Baolian Wang
Citations in the corpus
- Short-Sale Strategies and Return Predictability (2009, background): “Our findings are consistent with a recent paper by Avramov, Chordia, and Goyal (2006), who study the impact of trades on daily volatility.”
- Stock Returns, Implied Volatility Innovations, and the Asymmetric Volatility Phenomenon (2006, background): “This exploration is motivated by our results in Section 3, which suggest: (1) that asymmetric volatility behavior will be stronger for index returns than for firm-level returns, and (2) that firm-level asymmetric volatility behavior will be stronger when modeling firm-level conditional volatility as”
- Asymmetric Connectedness on the U.S. Stock Market: Bad and Good Volatility Spillovers (2015, unknown): “In addition, Avramov et al. (2006) argue that a positive return is followed by selling activity that is dominated by informed traders who tend to reduce volatility.”
- How stable are stablecoins? (2021, unknown): “We implement an autoregressive model of order 1 (AR(1)) in the mean equation to control for serial correlation in returns as suggested by Avramov, Chordia, and Goyal (2006), and a Threshold-GARCH model (T-GARCH) developed by Glosten, Jagannathan, and Runkle (1993) to allow for asymmetric effects.”