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Price Dynamics of Individual Stocks: Jumps and Information

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Publication date: Available online 23 December 2019

Source: Finance Research Letters

Author(s): Yuewen Xiao, Jing Zhao

Abstract

This study examines individual stocks’ price dynamics by separating continuous and discontinuous price innovations and testing their mechanisms in response to information. Among the 1249 NYSE-listed stocks in our sample, the price data of 642 (607) stocks are better fitted by a pure diffusion (jump-diffusion) model. For more than 93% of the 1249 stocks, their diffusion components vary with the proxies of daily information-based trading. However, only 94 out of 607 jump-diffusion stocks have jump components varying with these proxies. Our findings demonstrate significant heterogeneity in individual stocks’ price dynamics and advocate the importance of model selection.


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