Abnormal trading volume stock returns

Abnormal trading volume stock returns

Author: LenaSolovey Date: 29.06.2017
abnormal trading volume stock returns

Japanese Economic Review, Vol. We employ an adaptive Bayesian Markov chain Monte Carlo method with asymmetric Laplace distribution to study six daily Dow Jones Industrial stocks. The proposed model captures asymmetric risk through market beta and volume coefficients, which change discretely between regimes. Moreover, they are driven by market information and various quantile levels. This study finds that abnormal volume has significantly negative effects on excess stock returns under low quantile levels; however, there are significantly positive effects under high quantile levels.

The evidence indicates that each market beta varies with different quantile levels, capturing different states of market conditions. A Threshold Quantile Regression Approach March Subscribe to this fee journal for more curated articles on this topic.

Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach

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Evidence of Stock Returns and Abnormal Trading Volume: A Quantile Regression Approach by Cathy W. S. Chen, Mike K. P. So, Thomas Chinan Chiang :: SSRN

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abnormal trading volume stock returns

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abnormal trading volume stock returns

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