Publication: Volatility and dark trading: evidence from the Covid-19 pandemic
dc.contributor.coauthor | Ibikunle, Gbenga | |
dc.contributor.department | Department of Business Administration | |
dc.contributor.kuauthor | Rzayev, Khaladdin | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Business Administration | |
dc.contributor.schoolcollegeinstitute | College of Administrative Sciences and Economics | |
dc.contributor.yokid | 317105 | |
dc.date.accessioned | 2024-11-09T23:20:33Z | |
dc.date.issued | 2023 | |
dc.description.abstract | We study the effect(s) of volatility on the share of trading in dark pools by exploiting the exogenous shock of the Covid-19 pandemic on financial markets and regulatory restrictions on dark trading. We find that high levels of volatility in lit exchanges is linked to an economically significant loss of market share by dark pools to lit exchanges. In line with the theory, the loss appears to be driven by informed traders’ migration from lit to dark markets during high volatility periods. The market quality implications of the trading dynamics are mixed: while it tempers liquidity decline in the lit market, it exacerbates the loss of informational efficiency. | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | WoS | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.identifier.doi | 10.1016/j.bar.2022.101171 | |
dc.identifier.issn | 0890-8389 | |
dc.identifier.link | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148768187&doi=10.1016%2fj.bar.2022.101171&partnerID=40&md5=6ced25fca26e91d1bfd807d5e1efc4b6 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85148768187 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/10743 | |
dc.identifier.wos | 1031687200001 | |
dc.keywords | Covid-19 | |
dc.keywords | Dark pools | |
dc.keywords | Liquidity | |
dc.keywords | Market quality | |
dc.keywords | Venue selection | |
dc.language | English | |
dc.publisher | Academic Press | |
dc.source | British Accounting Review | |
dc.subject | High-frequency trading | |
dc.subject | Probability of informed trading | |
dc.subject | Financial markets | |
dc.title | Volatility and dark trading: evidence from the Covid-19 pandemic | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-5531-3616 | |
local.contributor.kuauthor | Rzayev, Khaladdin | |
relation.isOrgUnitOfPublication | ca286af4-45fd-463c-a264-5b47d5caf520 | |
relation.isOrgUnitOfPublication.latestForDiscovery | ca286af4-45fd-463c-a264-5b47d5caf520 |