Bear, bull, sidewalk, and crash: the evolution of the US stock market using over a century of daily data

Wang, S. ORCID: https://orcid.org/0000-0003-2113-5521, Rangan, G. and Yue-Jun, Z. (2021) Bear, bull, sidewalk, and crash: the evolution of the US stock market using over a century of daily data. Finance Research Letters, 43. 101998. ISSN 1544-6123 doi: 10.1016/j.frl.2021.101998

Abstract/Summary

In this paper, we employ a four-state hidden semi-Markov model, which outperforms a hidden Markov model, to identify market conditions of the US stock market over the daily period from 16th of February, 1885 to 4th of June, 2020. Our results indicate that the four hidden states represent bear-, bull-, sidewalk-, and crash-markets, which in turn appropriately capture the various major historical events during the period of study.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/96553
Item Type	Article
Refereed	Yes
Divisions	Arts, Humanities and Social Science > School of Politics, Economics and International Relations > Economics
Publisher	Elsevier
Download/View statistics	View download statistics for this item