Prediction of financial distress for multinational corporations: Panel estimations across countries.
Journal article
Authors | Apergis, Nicholas, Bhattacharya, Mita and Inekwe, John |
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Abstract | This research predicts ex-ante financial distress and analyses the link between financial distress, performance, employment, and research and development (R&D) investment in the case of multinational companies (MNCs). The conditional logit and hazard models are employed to predict financial distress, while a conditional mixed process model is employed to obtain consistent and efficient estimates. Financial distress generates contractions in performance, employment, and R&D investment. Hedging against risk mitigates the effect of financial distress on R&D. Our findings vary across countries, for example, we find MNCs in Canada, Israel and the U.S. benefit from hedging against risk. The findings also indicate that ex-ante financial distress is detrimental to employment for Canada, the U.K., the Netherlands and the U.S. The findings indicate the MNCs play different roles across countries in contributing jobs, investment in R&D during the distress period. |
Keywords | Financial distress; multinationals; hazard models; performance and employment |
Year | 2019 |
Journal | Applied Economics |
Publisher | Taylor & Francis |
ISSN | 0003-6846 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/00036846.2019.1589646 |
Web address (URL) | http://hdl.handle.net/10545/623639 |
http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
hdl:10545/623639 | |
Publication dates | 21 Mar 2019 |
Publication process dates | |
Deposited | 22 Mar 2019, 12:54 |
Accepted | 23 Jan 2019 |
Rights | Attribution-NonCommercial-NoDerivs 3.0 United States |
Contributors | University of Piraeus, Monash University and Macquarie University |
File | File Access Level Open |
File | File Access Level Open |
File |
https://repository.derby.ac.uk/item/92xwz/prediction-of-financial-distress-for-multinational-corporations-panel-estimations-across-countries
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