Artikel

A transmission of beta herding during subprime crisis in Taiwan's market: DCC-MIDAS approach

The aim of this study is to investigate the herding of beta transmission between return and volatility. We have used the dynamic conditional correlation model with the mixed-data sampling (DCC-MIDAS) model for the analysis. The evidence demonstrates that herding is a key transmitter in Taiwan's stock market. The significant estimation of DCC-MIDAS explains that the herding phenomenon is highly dynamic and time-varying in herding behavior. By means of time-varying beta of herding based on our rolling forecasting method and robustness check of the Markov-switching regression approach using four types of portfolios, the evidence indicates that there are conditional correlations between betas and herding. In addition, it also reveals that herding forms in Taiwan's markets during the subprime crisis period.

Sprache
Englisch

Erschienen in
Journal: International Journal of Financial Studies ; ISSN: 2227-7072 ; Volume: 9 ; Year: 2021 ; Issue: 4 ; Pages: 1-16 ; Basel: MDPI

Klassifikation
Wirtschaft
Thema
DCC-MIDAS
herding
Markov switching
subprime crisis
time-varying

Ereignis
Geistige Schöpfung
(wer)
Chen, Yi-Chang
Wu, Hung-Che
Zhang, Yuanyuan
Kuo, Shih-Ming
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2021

DOI
doi:10.3390/ijfs9040070
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Chen, Yi-Chang
  • Wu, Hung-Che
  • Zhang, Yuanyuan
  • Kuo, Shih-Ming
  • MDPI

Entstanden

  • 2021

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