The sensitivity of returns of non-bank financial institutions to the fixed income and equity markets
Notice bibliographique
Résumé
Researchers have over-concentrated on the relationship between bank stock returns and interest rate changes without paying much attention to the impact of interest rates on non-bank financial institutions, in particular the insurance and real estate industries. This research attempts to examine the sensitivity and importance of interest rates and stock market price behaviour on non-bank financial institutions across three countries: the United States, the United Kingdom and Australia. The results provide a different perspective on the relationship non-bank financial institutions have with the fixed income and equity markets, and sheds new light on their long-run interaction. For the insurance market, interest rate movements seem to be just as important as the stock market in explaining the variation of insurance portfolio returns in the United States. However, there is only a weak relationship between interest rate changes and insurance portfolio returns in the United Kingdom and Australia. The liquidity problem in the United Kingdom and small sample size issues in Australia may have influenced the final results. In addition, size and profitability of the insurance companies do influence the significance of interest rate coefficients. This suggests that the financial makeup of a firm can modify or influence the sensitivity of stock returns towards interest rate changes. For the securitised property market, once structural breaks are accounted for, the results show that securitised property is driven by both interest rate and stock market changes, regardless of the type of financial institutions being examined. Evidence also points to companies with different leverage ratios and companies that are tax-exempt entities are still all influenced by both the equity and fixed income markets over the long-run period, although the influence these factors have does vary across time. A major contribution of this study clearly points to the relative weightings that portfolio managers may now consider to be appropriate with regard to their holdings of bonds, equities and non-bank financial institutions in their portfolios for both their tactical and strategic asset allocations. For example, it may not be a wise decision to invest significant amounts of capital in both securitised properties and fixed income securities given that both instruments are co-integrated in the long-run. Although this research was primarily conducted prior to the current economic situation, some of the major conclusions from this research are particularly relevant today. Moreover, with better understanding of the sensitivity among security prices and various financial risk factors, financial managers are able to manage and control their companies’ risk exposure towards interest rate risk and stock market conditions more effectively and efficiently.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».