伊朗金融周期和商业周期的相互作用:贝叶斯方法

Q4 Economics, Econometrics and Finance
Farkhondeh Soleimani, M. S. Tash, G. Zamanian, R. Zamani
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引用次数: 0

摘要

基于贝叶斯方法,重点研究金融周期的影响,对2009年3月至2018年3月期间伊朗经济周期的有效因素进行调查,是本文的主要目的。首先利用Hodrick-Prescott滤波器提取商业周期和金融周期,然后利用Granger因果检验研究金融周期和经济周期之间的因果关系。除了信贷和商业周期之外,变量之间存在双向因果关系(GDP,德黑兰证券交易所指数,土地价值(每平方米),当前政府和非政府信贷,石油收入和当前政府支付)。基于贝叶斯方法,我们发现住房部门周期对商业周期具有负向影响,当前政府支付周期对商业周期具有正向影响,且两者都显著。然而,德黑兰证券交易所指数、当前政府和非政府设施以及石油收入对商业周期没有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction between Financial Cycles and Business Cycles in Iran: A Bayesian Approach
Investigation of effective factors in business cycles in Iran, from 2009:3 to 2018: 3, based on Bayesian approach with emphasis on the effects of financial cycles, is the major purpose of this paper.  At first, using Hodrick-Prescott filter, we extract business and financial cycles, then we study the causal relationship between financial and business cycles, using Granger causality test. There is a two-way causal relationship among the variables (GDP, Tehran Stock Exchange index, land value (per square meter), current government and non-government credits, oil revenues and current government payments), except for the credits and business cycles. Based on Bayesian approach, we found that housing sector cycles has negative and current government payment cycles has positive effect on the business cycles, and both of them are significant. However, Tehran Stock Exchange index, current government and non-government facilities and oil revenues do not have a significant effect on the business cycles.
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来源期刊
Iranian Economic Review
Iranian Economic Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.70
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0.00%
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