Asymmetric effects of monetary policy and financial accelerator: Evidence from India

Q1 Economics, Econometrics and Finance
Sruti Mundra, Motilal Bicchal
{"title":"Asymmetric effects of monetary policy and financial accelerator: Evidence from India","authors":"Sruti Mundra,&nbsp;Motilal Bicchal","doi":"10.1016/j.jeca.2023.e00296","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>This paper analyzes the asymmetric effects of monetary policy shocks during low and high financial stress regimes in India. We explore the asymmetric effects through various monetary policy transmission channels, namely, </span>interest rate<span>, credit, asset prices, exchange rate, and expectations channels, using threshold vector autoregression<span> (TVAR) models. Financial Stress Index (FSI) is used in the TVAR estimations as the threshold variable that endogenizes the regime-switching. We use a compressive FSI based on the dynamic conditional correlation-generalized autoregressive conditional heteroscedasticity (DCC-GARCH) method. The empirical findings indicate that a contractionary monetary policy shock through various channels has a stronger and more persistent effect on macroeconomic goal variables, output, and </span></span></span>inflation<span> during high financial stress than in a low financial stress regime. An expansionary monetary policy shock also shows a more significant effect on output during a high financial stress regime. Also, we found a stronger financial accelerator effect during high financial stress. This finding supports the literature that argues for the emergence of a stronger financial accelerator effect during financial stress. Finally, using nonlinear historical decompositions, we find that interest rate shocks contribute significantly to macroeconomic fluctuations in India.</span></p></div>","PeriodicalId":38259,"journal":{"name":"Journal of Economic Asymmetries","volume":"27 ","pages":"Article e00296"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Asymmetries","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1703494923000087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

This paper analyzes the asymmetric effects of monetary policy shocks during low and high financial stress regimes in India. We explore the asymmetric effects through various monetary policy transmission channels, namely, interest rate, credit, asset prices, exchange rate, and expectations channels, using threshold vector autoregression (TVAR) models. Financial Stress Index (FSI) is used in the TVAR estimations as the threshold variable that endogenizes the regime-switching. We use a compressive FSI based on the dynamic conditional correlation-generalized autoregressive conditional heteroscedasticity (DCC-GARCH) method. The empirical findings indicate that a contractionary monetary policy shock through various channels has a stronger and more persistent effect on macroeconomic goal variables, output, and inflation during high financial stress than in a low financial stress regime. An expansionary monetary policy shock also shows a more significant effect on output during a high financial stress regime. Also, we found a stronger financial accelerator effect during high financial stress. This finding supports the literature that argues for the emergence of a stronger financial accelerator effect during financial stress. Finally, using nonlinear historical decompositions, we find that interest rate shocks contribute significantly to macroeconomic fluctuations in India.

货币政策与金融加速器的非对称效应——来自印度的证据
本文分析了印度低金融压力和高金融压力时期货币政策冲击的不对称效应。我们使用阈值向量自回归(TVAR)模型,通过各种货币政策传导渠道,即利率、信贷、资产价格、汇率和预期渠道,探讨了非对称效应。在TVAR估计中,金融压力指数(FSI)被用作内生政权转换的阈值变量。我们使用基于动态条件相关广义自回归条件异方差(DCC-GARCH)方法的压缩FSI。实证结果表明,在高金融压力下,通过各种渠道的紧缩性货币政策冲击对宏观经济目标变量、产出和通货膨胀的影响比在低金融压力下更强、更持久。在高金融压力时期,扩张性货币政策冲击也对产出产生了更显著的影响。此外,我们发现,在高财务压力下,财务加速器效应更强。这一发现支持了在金融压力期间出现更强的金融加速器效应的文献。最后,使用非线性历史分解,我们发现利率冲击对印度宏观经济波动有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Economic Asymmetries
Journal of Economic Asymmetries Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
4.80
自引率
0.00%
发文量
42
审稿时长
50 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信