The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model

碩士 === 世新大學 === 經濟學研究所(含碩專班) === 107 === This study explores the asymmetric relationships between Bitcoin price and other assets prices over the period ranging from 2017/1/1 to 2018/12/28. The assets involved in this study are stock markets, currency markets and futures commodities markets. The unit...

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Main Authors: AN, CHE-LUN, 安哲綸
Other Authors: LIN, MEI-YIN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/5fytun
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spelling ndltd-TW-107SHU003890012019-07-16T03:45:10Z http://ndltd.ncl.edu.tw/handle/5fytun The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model 比特幣價格與其他資產價格之不對稱關係-NARDL模型之應用 AN, CHE-LUN 安哲綸 碩士 世新大學 經濟學研究所(含碩專班) 107 This study explores the asymmetric relationships between Bitcoin price and other assets prices over the period ranging from 2017/1/1 to 2018/12/28. The assets involved in this study are stock markets, currency markets and futures commodities markets. The unit root tests indicates that the variables are a mixture of I(0) and I(1) series. Therefore, we apply linear and nonlinear autoregressive distributed lags technique (ARDL and NARDL) in this research. The study uses weekly data for empirical analysis. The results show that in the long run, Dow jones index, EUR/USD exchange rate, Ether, Litecoin, Ripple and natural gas futures price have significant impact on Bitcoin price, and in the short run, Ether, Litecoin and natural gas futures price have relatively significant asymmetries with Bitcoin price. LIN, MEI-YIN 林玫吟 2019 學位論文 ; thesis 50 zh-TW
collection NDLTD
language zh-TW
format Others
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description 碩士 === 世新大學 === 經濟學研究所(含碩專班) === 107 === This study explores the asymmetric relationships between Bitcoin price and other assets prices over the period ranging from 2017/1/1 to 2018/12/28. The assets involved in this study are stock markets, currency markets and futures commodities markets. The unit root tests indicates that the variables are a mixture of I(0) and I(1) series. Therefore, we apply linear and nonlinear autoregressive distributed lags technique (ARDL and NARDL) in this research. The study uses weekly data for empirical analysis. The results show that in the long run, Dow jones index, EUR/USD exchange rate, Ether, Litecoin, Ripple and natural gas futures price have significant impact on Bitcoin price, and in the short run, Ether, Litecoin and natural gas futures price have relatively significant asymmetries with Bitcoin price.
author2 LIN, MEI-YIN
author_facet LIN, MEI-YIN
AN, CHE-LUN
安哲綸
author AN, CHE-LUN
安哲綸
spellingShingle AN, CHE-LUN
安哲綸
The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model
author_sort AN, CHE-LUN
title The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model
title_short The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model
title_full The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model
title_fullStr The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model
title_full_unstemmed The Asymmetric Relationships Between Bitcoin Price and Other Assets Prices-An Application of the NARDL Model
title_sort asymmetric relationships between bitcoin price and other assets prices-an application of the nardl model
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/5fytun
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