Cioroianu, Iulia ORCID: 0000-0002-5543-6819, Corbet, Shaen ORCID: 0000-0001-7430-7417 and Larkin, Charles ORCID: 0000-0002-0352-2504 (2020) The differential impact of corporate blockchain-development as conditioned by sentiment and financial desperation. Journal of Corporate Finance, 66 . ISSN 0929-1199
Abstract
This paper investigates how companies can utilise Twitter social media-derived sentiment as a
method of generating short-term corporate value from statements based on initiated blockchain-development. Results indicate that investors were subjected to a very sophisticated form of asymmetric information designed to propel sentiment and market euphoria, that translates into increased
access to leverage on the part of speculative firms. Technological-development firms are found to
financially behave in a profoundly different fashion to reactionary-driven firms which have no background in ICT technological development, and who experience an estimated increased one-year
probability of default of 170bps. Rating agencies are found to have under-estimated the risk onboarded by these speculative firms, failing to identify that they should be placed under an increased
degree of scrutiny. Unfiltered market sentiment information, regulatory unpreparedness and mispricing by trusted market observers has resulted in a situation where investors and lenders have
been compromised by direct exposure to an asset class becoming known for law-breaking activity,
financial losses and frequent reputational damage.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Additional Information: | Article number: 101814 |
Uncontrolled Keywords: | Investor Sentiment; Blockchain; Leverage; Idiosyncratic Volatility; Social Media |
Subjects: | Business > Finance |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Publisher: | Elsevier |
Official URL: | https://dx.doi.org/10.1016/j.jcorpfin.2020.101814 |
Copyright Information: | © 2020 Elsevier. (CC BY-NC-ND-4.0) |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 25906 |
Deposited On: | 27 May 2021 11:40 by Thomas Murtagh . Last Modified 30 Nov 2022 04:30 |
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