Research on multiple bubbles in China's multi-level stock market.

Financial bubbles have always been a topic of long-term concern for economists. Understanding bubble phenomenon and dating the period of bubbles in real time can provide an early warning diagnosis for financial bubbles and help regulatory authorities to control it and maintain market order. The gene...

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Autores principales: Ge Li, Ming Xiao, Xionghui Yang, Ying Guo, Shengyi Yang
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/76db01423fe146db9f1ddf720954dced
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spelling oai:doaj.org-article:76db01423fe146db9f1ddf720954dced2021-12-02T20:18:52ZResearch on multiple bubbles in China's multi-level stock market.1932-620310.1371/journal.pone.0255476https://doaj.org/article/76db01423fe146db9f1ddf720954dced2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255476https://doaj.org/toc/1932-6203Financial bubbles have always been a topic of long-term concern for economists. Understanding bubble phenomenon and dating the period of bubbles in real time can provide an early warning diagnosis for financial bubbles and help regulatory authorities to control it and maintain market order. The generalized sup ADF (GSADF) and backward sup ADF (BSADF) tests with flexible window width can effectively detect and date periodically collapsing bubbles in real time. Based on the financial present value model, this paper applies right-tail recursive ADF test to test multiple bubbles in China's multi-level stock market. Unlike the other researches in China, the ratios of the real stock prices' natural logarithm to the real dividends' natural logarithm are used for our testing instead of stock price index. Empirical results show that there are 8 bubbles in the Main-Board Market, 6 bubbles in the Small and Medium Enterprises Board (SMEs), and 4 bubbles in the Growth Enterprise Market (GEM). These bubbles are liquidity-driven and presuppose a loose credit cycle, with the exception of bubbles in 2014-2015. The frequent emergence of bubbles in a short time indicates that China's stock market is still emerging market. In addition, frequent fluctuations imply there is a serious "herd effect" and a lack of monitoring mechanism for bubble risk. This study not only enrich the real-time dynamic research on periodical bubbles of China's stock market, but also provide an empirical reference for investors' investment choices, financial decisions of listed companies and warning mechanism of regulatory authorities.Ge LiMing XiaoXionghui YangYing GuoShengyi YangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255476 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ge Li
Ming Xiao
Xionghui Yang
Ying Guo
Shengyi Yang
Research on multiple bubbles in China's multi-level stock market.
description Financial bubbles have always been a topic of long-term concern for economists. Understanding bubble phenomenon and dating the period of bubbles in real time can provide an early warning diagnosis for financial bubbles and help regulatory authorities to control it and maintain market order. The generalized sup ADF (GSADF) and backward sup ADF (BSADF) tests with flexible window width can effectively detect and date periodically collapsing bubbles in real time. Based on the financial present value model, this paper applies right-tail recursive ADF test to test multiple bubbles in China's multi-level stock market. Unlike the other researches in China, the ratios of the real stock prices' natural logarithm to the real dividends' natural logarithm are used for our testing instead of stock price index. Empirical results show that there are 8 bubbles in the Main-Board Market, 6 bubbles in the Small and Medium Enterprises Board (SMEs), and 4 bubbles in the Growth Enterprise Market (GEM). These bubbles are liquidity-driven and presuppose a loose credit cycle, with the exception of bubbles in 2014-2015. The frequent emergence of bubbles in a short time indicates that China's stock market is still emerging market. In addition, frequent fluctuations imply there is a serious "herd effect" and a lack of monitoring mechanism for bubble risk. This study not only enrich the real-time dynamic research on periodical bubbles of China's stock market, but also provide an empirical reference for investors' investment choices, financial decisions of listed companies and warning mechanism of regulatory authorities.
format article
author Ge Li
Ming Xiao
Xionghui Yang
Ying Guo
Shengyi Yang
author_facet Ge Li
Ming Xiao
Xionghui Yang
Ying Guo
Shengyi Yang
author_sort Ge Li
title Research on multiple bubbles in China's multi-level stock market.
title_short Research on multiple bubbles in China's multi-level stock market.
title_full Research on multiple bubbles in China's multi-level stock market.
title_fullStr Research on multiple bubbles in China's multi-level stock market.
title_full_unstemmed Research on multiple bubbles in China's multi-level stock market.
title_sort research on multiple bubbles in china's multi-level stock market.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/76db01423fe146db9f1ddf720954dced
work_keys_str_mv AT geli researchonmultiplebubblesinchinasmultilevelstockmarket
AT mingxiao researchonmultiplebubblesinchinasmultilevelstockmarket
AT xionghuiyang researchonmultiplebubblesinchinasmultilevelstockmarket
AT yingguo researchonmultiplebubblesinchinasmultilevelstockmarket
AT shengyiyang researchonmultiplebubblesinchinasmultilevelstockmarket
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