The Impact of the Short Span between COVID-19 Recovery and the Onset of Russia-Ukraine Conflict on the Financial Performance of FTSE 350 Service Firms
Notice bibliographique
Résumé
The COVID-19 outbreak and recovery, as well as the Russia-Ukraine conflict, have resulted in several difficulties and risks that affect economies and the businesses functioning within them. Both have fundamentally altered how businesses are run. So far, just a few studies have examined how the conflict between Russia and Ukraine affects both countries, with a particular focus on Russia given the severe international financial sanctions that are now affecting its economy. Thus, this study explored the effect of the short timeframe between COVID-19 recovery and the onset of the Russia-Ukraine war on the financial performance of FTSE 350 service companies. In the study, the financial ratios of the sampled firms were computed for both during COVID-19 recovery (i.e., from the last quarter of 2021 to the end of the 1st quarter of 2022) and during the Russia-Ukraine war (i.e., from the end of the 1st quarter of 2022 to the end of the 1st quarter of 2023). Then, using t-test, the significance level of the differences between these two sets of financial ratios was determined. From the results, it was revealed that the overall performance of the firms improved, with service firms into energy services, real estate, financial services, materials procurement, and staffing/recruitment services being less sensitive to the effect of the Russia-Ukraine war on their financial performance indicators whereas the firms into asset management, investment management, retails, and insurance were more sensitive to the effect of the war as their financial performance were more negatively impacted on by the war. And despite the improved performances of the firms, the differences in their performance compared to the period of COVID-19 recovery were not statistically significant. Hence, the null hypothesis formulated in the study was accepted, implying that there is no significant effect of the short timeframe between the recovery from COVID-19 and the onset of Russia-Ukraine war on the financial performance of FTSE 350 service firms. Keywords: COVID-19 recovery; Russia-Ukraine conflict; Financial performance; FTSE 350 service firms; Financial ratios. DOI: 10.7176/EJBM/15-17-02 Publication date: October 31 st 2023
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».