Co-movement in crypto-currency markets: evidences from wavelet analysis

Abstract We study the time varying co-movement patterns of the crypto-currency prices with the help of wavelet-based methods; employing daily bilateral exchange rate of four major crypto-currencies namely Bitcoin, Ethereum, Lite and Dashcoin. First, we identify Bitcoin as potential market leader usi...

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Main Authors: Anoop S Kumar, Taufeeq Ajaz
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Financial Innovation
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40854-019-0143-3
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spelling doaj-2d7185bfc0f04ba8b9fcb8d9c4e2357a2020-11-25T03:02:21ZengSpringerOpenFinancial Innovation2199-47302019-07-015111710.1186/s40854-019-0143-3Co-movement in crypto-currency markets: evidences from wavelet analysisAnoop S Kumar0Taufeeq Ajaz1Waggle Lab, University of KeralaSchool of Economics, Narsee Monjee Institute of Management StudiesAbstract We study the time varying co-movement patterns of the crypto-currency prices with the help of wavelet-based methods; employing daily bilateral exchange rate of four major crypto-currencies namely Bitcoin, Ethereum, Lite and Dashcoin. First, we identify Bitcoin as potential market leader using Wavelet multiple correlation and Cross correlation. Further, Wavelet Local Multiple Correlation for the given crypto-currency prices are estimated across different time-scales. From the results, it is found that that the correlation follows an aperiodic cyclical nature, and the crypto-currency prices are driven by Bitcoin price movements. Based on the results obtained, we suggest that constructing a portfolio based on crypto-currencies may be risky at this point of time as the other crypto-currency prices are mainly driven by Bitcoin prices, and any shocks in the latter is immediately transformed to the former.http://link.springer.com/article/10.1186/s40854-019-0143-3BitcoinCo-movementCrypto-currenciesWavelets
collection DOAJ
language English
format Article
sources DOAJ
author Anoop S Kumar
Taufeeq Ajaz
spellingShingle Anoop S Kumar
Taufeeq Ajaz
Co-movement in crypto-currency markets: evidences from wavelet analysis
Financial Innovation
Bitcoin
Co-movement
Crypto-currencies
Wavelets
author_facet Anoop S Kumar
Taufeeq Ajaz
author_sort Anoop S Kumar
title Co-movement in crypto-currency markets: evidences from wavelet analysis
title_short Co-movement in crypto-currency markets: evidences from wavelet analysis
title_full Co-movement in crypto-currency markets: evidences from wavelet analysis
title_fullStr Co-movement in crypto-currency markets: evidences from wavelet analysis
title_full_unstemmed Co-movement in crypto-currency markets: evidences from wavelet analysis
title_sort co-movement in crypto-currency markets: evidences from wavelet analysis
publisher SpringerOpen
series Financial Innovation
issn 2199-4730
publishDate 2019-07-01
description Abstract We study the time varying co-movement patterns of the crypto-currency prices with the help of wavelet-based methods; employing daily bilateral exchange rate of four major crypto-currencies namely Bitcoin, Ethereum, Lite and Dashcoin. First, we identify Bitcoin as potential market leader using Wavelet multiple correlation and Cross correlation. Further, Wavelet Local Multiple Correlation for the given crypto-currency prices are estimated across different time-scales. From the results, it is found that that the correlation follows an aperiodic cyclical nature, and the crypto-currency prices are driven by Bitcoin price movements. Based on the results obtained, we suggest that constructing a portfolio based on crypto-currencies may be risky at this point of time as the other crypto-currency prices are mainly driven by Bitcoin prices, and any shocks in the latter is immediately transformed to the former.
topic Bitcoin
Co-movement
Crypto-currencies
Wavelets
url http://link.springer.com/article/10.1186/s40854-019-0143-3
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AT taufeeqajaz comovementincryptocurrencymarketsevidencesfromwaveletanalysis
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