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US QE and the Indian Bond Market

This paper examines the long- and short-run spillover effects of US quantitative easing (QE) on the benchmark 10-year Indian government bond (IGB) yield by Autoregressive Distributed Lag (ARDL) bounds testing co-integration approach using monthly data from September 2008 to June 2019. The results sh...

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Detalles Bibliográficos
Autores principales: Paul, Moumita, Reddy, Kalluru Siva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556800/
https://www.ncbi.nlm.nih.gov/pubmed/34744335
http://dx.doi.org/10.1007/s40953-021-00257-9
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author Paul, Moumita
Reddy, Kalluru Siva
author_facet Paul, Moumita
Reddy, Kalluru Siva
author_sort Paul, Moumita
collection PubMed
description This paper examines the long- and short-run spillover effects of US quantitative easing (QE) on the benchmark 10-year Indian government bond (IGB) yield by Autoregressive Distributed Lag (ARDL) bounds testing co-integration approach using monthly data from September 2008 to June 2019. The results show that a 10%-point rise in US QE led to a 4 bp rise in yields. The counterfactual analysis shows that volatility of the yields would have been less without the QE. During the episodes of QE, the Reserve Bank of India (RBI) had to alter its policy rate and engage in open-market operations (OMOs) to simultaneously maintain liquidity in the system and reduce the volatility of interest rates. Spillover on the debt yield leads to mispricing of assets and partial loss of the monetary-policy autonomy of the RBI.
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spelling pubmed-85568002021-11-01 US QE and the Indian Bond Market Paul, Moumita Reddy, Kalluru Siva J Quant Econ Original Article This paper examines the long- and short-run spillover effects of US quantitative easing (QE) on the benchmark 10-year Indian government bond (IGB) yield by Autoregressive Distributed Lag (ARDL) bounds testing co-integration approach using monthly data from September 2008 to June 2019. The results show that a 10%-point rise in US QE led to a 4 bp rise in yields. The counterfactual analysis shows that volatility of the yields would have been less without the QE. During the episodes of QE, the Reserve Bank of India (RBI) had to alter its policy rate and engage in open-market operations (OMOs) to simultaneously maintain liquidity in the system and reduce the volatility of interest rates. Spillover on the debt yield leads to mispricing of assets and partial loss of the monetary-policy autonomy of the RBI. Springer India 2021-10-30 2022 /pmc/articles/PMC8556800/ /pubmed/34744335 http://dx.doi.org/10.1007/s40953-021-00257-9 Text en © The Author(s), under exclusive licence to The Indian Econometric Society 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Paul, Moumita
Reddy, Kalluru Siva
US QE and the Indian Bond Market
title US QE and the Indian Bond Market
title_full US QE and the Indian Bond Market
title_fullStr US QE and the Indian Bond Market
title_full_unstemmed US QE and the Indian Bond Market
title_short US QE and the Indian Bond Market
title_sort us qe and the indian bond market
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556800/
https://www.ncbi.nlm.nih.gov/pubmed/34744335
http://dx.doi.org/10.1007/s40953-021-00257-9
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