Half-life estimates of COVID19, Investor Sentiment, and the Stock Market

Authors

  • Lin Xiao YiBin University, Yibin, Sichuan, China
  • Vesarach Aumeboonsuke National Institute of Development Administration, Bangkok, Thailand

Keywords:

COVID19, Half-life Estimates, Investor Sentiment, Stock Market

Abstract

The half-life is used to estimate the adjustment speed of a variable to a new equilibrium point after being affected by the impulse response of a unit of shocks. The paper examines the adjustment speed of COVID19, investor sentiment, and the stock market through half-life estimates over the period from January 2020 to August 2022. To achieve the research goal, the study is based on the autoregressive model and the augmented Dickey-Fuller test results to estimate the half-lives of the variables. The results prove a valid short-term association and fast adjustment speed of COVID19, investor sentiment, and the stock market. The results of the estimates probably contribute to investor decision-making, risk avoidance, and policy proposals.

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Published

2023-09-04

How to Cite

Lin Xiao, & Vesarach Aumeboonsuke. (2023). Half-life estimates of COVID19, Investor Sentiment, and the Stock Market. Thailand and The World Economy, 41(3), 134–158. Retrieved from https://so05.tci-thaijo.org/index.php/TER/article/view/267636