臺灣股票市場高頻方向性價格跳躍之研究

Project: Government MinistryMinistry of Science and Technology

Project Details

Description

We analyze the complete tick-level stock trading records at the Taiwan Stock Exchange and explore what factors are principally associated with jumps in high frequency. Among the potential candidate variables suggested in the literature, liquidity proxies appear to be primarily associated with signed jumps in high frequency. The results from the least absolute shrinkage and selection operator (LASSO), the elastic net method, and principal component analysis further show that liquidity issues are more important than information or sentiment in understanding sudden and discontinuous price innovations to financial assets in high frequency.
StatusFinished
Effective start/end date2018/08/012020/07/31

Keywords

  • signed jumps
  • information asymmetry
  • liquidity
  • herding
  • machine learning

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