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Enregistrement W310835182

Optimal Reserve Requirements and Price Stability: Taiwan's Case Study

2000· article· en· W310835182 sur OpenAlexaboutno aff
Chau-Jung Kuo, So‐De Shyu

Notice bibliographique

RevueInternational Journal of Business · 2000
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueBanking stability, regulation, efficiency
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésReserve requirementEconomicsAsset (computer security)Order (exchange)Federal Reserve Economic DataExcess reservesCashMonetary policyShock (circulatory)Monetary economicsQuantitative easingFinanceCentral bankComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This paper presents a stochastic financial model from which one can derive the optimal reserves ratio for stabilizing price level. It is shown that the optimal reserves ratio is a function of the structure of unanticipated shocks to a liquid asset market and a high-powered money market. An important policy implication, drawn from this model, suggests that it may help the stabilization of price level if a lower level of the reserve requirements is adopted by the central bank when the shock exists solely in a liquid asset market. An application of the presented model to the financial assets in Taiwan suggests that the optimal reserves ratio for stabilizing the price level is approximately 5.7717 percent, in the case of the 2-SLS estimation, and 4.2442 percent, in the case of the SUR estimation, below the weighted average of the actual 7.7575 percent up to the end of 1997. The empirical findings further suggest Taiwan's monetary authority would thus have to accept a lower level of the reserve requirements in order to reduce the price fluctuations. I. INTRODUCTION Reserve requirements have become a common institutional feature of our monetary system since the system was first introduced in the 19th century. Reserve requirements are generally defined as a system mandating banks and other depository institutions to maintain vault cash of deposits held with a central bank balance as a reserve at a fractional percentage (reserve ratio) against their liabilities. Since the 1940s, the use of reserve requirements as a monetary policy instrument has been widely adopted by most of the countries in the world. Up to the recent decade, however, the use of reserve requirements has undergone two significant and substantial changes. First, with regard to the reforms of the reserve requirement system, it appears to have converged in the direction of simplification and reduction in order to reduce the regulatory burdens on subjected banks arising from reserve requirements. For example, the central banks in the major industrialized countries (e.g., Canada, France, Germany, Italy, Japan, United Kingdom, and United States) have reduced their reserve ratios as well as simplifying reserve ratio trenches over the past decade in an attempt to lighten the burden they placed on banks. This convergence suggests that a market-based policy strategy for the reserve requirement system is now likely to be a general trend. Second, since the 1980s, due to financial liberalization and innovation along with regulatory and technological change, the relationship between the growth rate of monetary aggregates and economic growth in some countries has become less stable. It has led to a reconsideration of the usefulness of money supply as the policy objectives and has altered the operating philosophy for a central bank's policy tools. For example, to date during the 1990s, a number of countries, (e.g., Australia, Canada, Finland, Israel, New Zealand, Spain, Sweden and United Kingdom) have instead begun directly targeting the inflation rate. Indeed, because almost all central banks now identify price stability as the primary objective of monetary policy, in classifying policy framework it is probably more helpful to look at how specific a country's inflation objective is, rather than to distinguish between intermediate and final-target countries. Particularly, in March of 1995, the Bank of England pioneerly held a conference for central banks from those countries currently using inflation targets. There appeared to be little agreement among researchers for a long time on either the optimal level of reserves or the criteria for setting such reserves in order to achieve macroeconomic stability. (See, e.g., Aschhein[2], Bryant[9], Carson[10], Friedman [13,14], Sellon, Gordon and Weiner[18], Van Hoose[22]) Several issues arose, and the literature is somewhat limited to conceptual and technical issues. One of the most issues is that the countries with inflation targets are often said to pursue final-target strategies because the end product of monetary policy actions are inflation outcomes. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,055

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,283
Écart entre enseignants0,234 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2000
Routes d'admission1
Résumé présentoui

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Même revueInternational Journal of BusinessMême sujetBanking stability, regulation, efficiencyTravaux en français237 207