Bear, bull, sidewalk, and crash: the evolution of the US stock market using over a century of daily dataWang, 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
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/j.frl.2021.101998 Abstract/SummaryIn 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.
Download Statistics DownloadsDownloads per month over past year Altmetric Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |