2019
DOI: 10.1177/0972652719831562
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Interlinkages Between USD–INR, EUR–INR, GBP–INR and JPY–INR Exchange Rate Markets and the Impact of RBI Intervention

Abstract: This article examines interlinkages between four major exchange rates, namely, USD–INR, EUR–INR, GBP–INR and JPY–INR in terms of returns and volatility spillovers using a vector autoregressive-multivariate GARCH–BEKK framework. In addition, we analyse the impact of RBI intervention on the returns, volatility and covariance of these exchange rates. The study finds significant bidirectional causality-in-mean and causality-in-variance between all four exchange rates. The estimation results suggest that RBI interv… Show more

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Cited by 8 publications
(3 citation statements)
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References 42 publications
(82 reference statements)
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“…ARIMA, which is a popular univariate model, and the three multivariate cointegration models were applied to the training data series (April 1999 to December 2017) to generate respective forecasting models. Based on the post-facto forecasting performance of these models on the testing data (January 2018 to December 2019), the Johansen cointegration model emerged as the best forecasting model for CoP and IIPG, while ARIMA was the best-suited model for forecasting ELG, which was consistent with the results found by Dua et al (2023) and Telarico (2023) [54,55]. The forecasting performance of the four models for each variable during the COVID-19 period (January 2020 to December 2020) showed a distinct decline compared with their respective test data period performance, thereby establishing the socio-economic disruption effect in the three research variables.…”
Section: Discussionsupporting
confidence: 81%
“…ARIMA, which is a popular univariate model, and the three multivariate cointegration models were applied to the training data series (April 1999 to December 2017) to generate respective forecasting models. Based on the post-facto forecasting performance of these models on the testing data (January 2018 to December 2019), the Johansen cointegration model emerged as the best forecasting model for CoP and IIPG, while ARIMA was the best-suited model for forecasting ELG, which was consistent with the results found by Dua et al (2023) and Telarico (2023) [54,55]. The forecasting performance of the four models for each variable during the COVID-19 period (January 2020 to December 2020) showed a distinct decline compared with their respective test data period performance, thereby establishing the socio-economic disruption effect in the three research variables.…”
Section: Discussionsupporting
confidence: 81%
“…The results of ADF test is presented in Table 2. Hasan (2004), Jain (2016), Aravind (2017), Dua (2019), Rehman (2022) and Wawale (2022).…”
Section: Resultsmentioning
confidence: 99%
“…Alike stock markets, foreign exchange markets across nations also exhibit mean and volatility spillovers. Among the strong currencies, US dollar, Euro, pound, and yen exhibit substantial mean and volatility spillovers towards the Indian rupee (Dua & Suri, 2019). Similarly among the BRIC nations, the foreign exchange market of the USA exhibits a long-run cointegrating relationship with India and China (Aroul & Swanson, 2018).…”
Section: Background and Literature Reviewmentioning
confidence: 99%