Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Stephan Hollander"'
Publikováno v:
SSRN Electronic Journal.
Using a dynamic text-based approach to measuring firms’ tax policy expectations, we show that two tax-changing events—namely, the 2016 U.S. election and the Tax Cuts and Jobs Act (TCJA)—affected these expectations in ways that vary substantiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09420f2cf198cb49c5c00b0c9d5963a6
https://doi.org/10.2139/ssrn.3775710
https://doi.org/10.2139/ssrn.3775710
Autor:
Tarek Alexander Hassan, Stephan Hollander, Laurence van Lent, Markus Schwedeler, Ahmed Tahoun
Using tools described in our earlier work (Hassan et al., 2019, 2020), we develop text- based measures of the costs, benefits, and risks listed firms in the US and over 80 other countries associate with the spread of Covid-19 and other epidemic disea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c8187a567d6b54f6ddf30d0df41b2c7
https://doi.org/10.3386/w26971
https://doi.org/10.3386/w26971
Publikováno v:
The Review of Financial Studies. Oxford University Press
Using tools described in our earlier work (Hassan et al., 2019, 2020), we develop text- based measures of the costs, benefits, and risks listed firms in the US and over 80 other countries associate with the spread of Covid-19 and other epidemic disea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de499e224e633bad9632e71526bab504
https://doi.org/10.2139/ssrn.3566530
https://doi.org/10.2139/ssrn.3566530
Autor:
Stephan Hollander, Robin Litjens
Publikováno v:
SSRN Electronic Journal.
his study identifies previously undocumented geography-related diversity in investors’ information acquisition behavior around days with earnings announcements. IP geo-localization of the server log of the SEC’s EDGAR (Electronic Data Gathering,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88151ca529e8f1801b6e66280771933f
https://doi.org/10.2139/ssrn.3691111
https://doi.org/10.2139/ssrn.3691111
Using tools from computational linguistics, we construct new measures of the impact of Brexit on listed firms in the United States and around the world; these measures are based on the proportion of discussions in quarterly earnings conference calls
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2462fc347e789e440f4ad0f04308419
https://doi.org/10.3386/w26609
https://doi.org/10.3386/w26609
Publikováno v:
Quarterly Journal of Economics, 134(4), 2135-2202. Oxford University Press
We adapt simple tools from computational linguistics to construct a new measure of political risk faced by individual U.S. firms: the share of their quarterly earnings conference calls that they devote to political risks. We validate our measure by s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::125d939840fe0fd4560432a3a7b583de
https://lbsresearch.london.edu/id/eprint/1190/1/APRUPaper.pdf
https://lbsresearch.london.edu/id/eprint/1190/1/APRUPaper.pdf
Publikováno v:
Review of Accounting Studies, 24(3), 860-890. Springer New York
© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Firms often include summaries with earnings releases. However, manager-generated summaries may be prone to strategic tone and content management, compared to the underlying discl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18d5fc184f4890a5b9dc096195cec634
https://lirias.kuleuven.be/handle/123456789/653285
https://lirias.kuleuven.be/handle/123456789/653285
Publikováno v:
SSRN Electronic Journal.
Using tools from computational linguistics, we construct new measures of the impact of Brexit on listed firms in the United States and around the world; these measures are based on the proportion of discussions in quarterly earnings conference calls
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69fb051abcc11f187841433222a3581f
https://doi.org/10.2139/ssrn.3501910
https://doi.org/10.2139/ssrn.3501910
Publikováno v:
The Journal of Finance. Wiley-Blackwell
Using tools from computational linguistics, we construct new measures of the impact of Brexit on listed firms in the United States and around the world: the share of discussions in quarterly earnings conference calls on costs, benefits, and risks ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2414bb75dc66ef181118e267207fa590
https://doi.org/10.2139/ssrn.3520729
https://doi.org/10.2139/ssrn.3520729