研究不同货币总量对实体经济的不同影响

IF 2.1 Q2 BUSINESS, FINANCE
Romeo Victor Ionescu, Costinela Fortea, Monica Laura Zlati, Valentin Marian Antohi
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引用次数: 0

摘要

由于我们生活在一个多重危机和地缘政治动荡的时代,研究货币总量如何影响实体经济是很重要的。这将帮助我们弄清楚不确定性如何影响经济,并提出更稳定的金融和货币政策措施,特别是针对非欧元区的欧盟成员国。本研究旨在确定一个动态的结构性货币政策模型,利用文献信息和对非欧元区成员国(罗马尼亚)宏观经济总量金融要素演变的研究。这些方法包括对文献中货币总量因果关系的实证研究,以及对16年(2007-2022)期间动态数据库整合的分析方法及其统计建模。本研究将研究不确定性对罗马尼亚货币政策的影响,以及这种不确定性如何改变货币政策指标与GDP平减指数衍生品之间的依赖关系。分别对2007-2019年和2007-2022年两步建模的结果将通过比较,突出不确定时期和大流行病对货币政策指标演变所造成的脆弱性,并将有助于金融决策者根据分析和建模所得的脆弱性情况纠正货币政策要素。本研究的新颖之处在于采用多学科和动态的方法来研究货币政策指标的演变,并构建了动态结构模型,这是评估欧元区以外欧盟成员国经济在不确定性下的脆弱性状况的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studying Differing Impacts of Various Monetary Aggregates on the Real Economy
Since we are living in a time of multiple crises and geopolitical unrest, it is important to look at how monetary aggregates affect the real economy. This will help us figure out how uncertainty affects the economy and come up with more stable financial and monetary policy measures, especially for EU member states that are not in the euro area. This study aims to determine a dynamic structured monetary policy model, using information from the literature and the study of the evolution of financial elements of macroeconomic aggregates in a non-euro area Member State (Romania). The methods consist of an empirical study of causality in the monetary aggregates in the literature and an analytical approach to the consolidation of dynamic databases over a period of 16 years (2007–2022) and its statistical modeling. This research will examine the impact of uncertainty on Romania’s monetary policy over the period and how this uncertainty alters the dependence relationships between monetary policy indicators and derivatives of the GDP deflator. The results of the two-step modeling, respectively, for the periods 2007–2019 and 2007–2022, will highlight via a comparison the vulnerabilities induced by periods of uncertainty and pandemics on the evolution of monetary policy indicators and will be useful to financial decision makers in correcting monetary policy elements based on the vulnerability picture instrumented as a result of analysis and modeling. The novelty of this study lies in the multidisciplinary and dynamic approach to the evolution of monetary policy indicators and the construction of the dynamic structured model, which is a useful tool for assessing the vulnerability status of a EU Member State economy outside the euro area under uncertainty.
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
100
审稿时长
11 weeks
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