The impact of trade and financial expansion on volatility of real exchange rate
With the steady progress of China’s opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while promoting economic development. As an innovative business model connecting the real economy and the virtual economy, the Internet of Things (IoT...
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Published in | PloS one Vol. 17; no. 1; p. e0262230 |
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Format | Journal Article |
Language | English |
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21.01.2022
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Abstract | With the steady progress of China’s opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while promoting economic development. As an innovative business model connecting the real economy and the virtual economy, the Internet of Things (IoT) finance provides standardized technical support for the expansion of trade and finance. In financial data analysis, deep learning (DL) has become an important means to predict financial market movements, process text information and improve trading strategies. Analysis is conducted on the influence of trade and financial opening on the volatility of real exchange rate. Through the empirical test of panel data of 45 major countries in the world, the pooled ordinary least square (OLS) method and instrumental variable method are used to evaluate the influence of trade and financial opening of sample countries on the volatility of real exchange rate. The main conclusions are that trade openness is negatively correlated with the volatility of real exchange rate, and financial openness is positively correlated with the volatility of real exchange rate. A certain reference is provided for reducing the fluctuation of real exchange rate in the process of opening to the world. |
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AbstractList | With the steady progress of China’s opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while promoting economic development. As an innovative business model connecting the real economy and the virtual economy, the Internet of Things (IoT) finance provides standardized technical support for the expansion of trade and finance. In financial data analysis, deep learning (DL) has become an important means to predict financial market movements, process text information and improve trading strategies. Analysis is conducted on the influence of trade and financial opening on the volatility of real exchange rate. Through the empirical test of panel data of 45 major countries in the world, the pooled ordinary least square (OLS) method and instrumental variable method are used to evaluate the influence of trade and financial opening of sample countries on the volatility of real exchange rate. The main conclusions are that trade openness is negatively correlated with the volatility of real exchange rate, and financial openness is positively correlated with the volatility of real exchange rate. A certain reference is provided for reducing the fluctuation of real exchange rate in the process of opening to the world. With the steady progress of China's opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while promoting economic development. As an innovative business model connecting the real economy and the virtual economy, the Internet of Things (IoT) finance provides standardized technical support for the expansion of trade and finance. In financial data analysis, deep learning (DL) has become an important means to predict financial market movements, process text information and improve trading strategies. Analysis is conducted on the influence of trade and financial opening on the volatility of real exchange rate. Through the empirical test of panel data of 45 major countries in the world, the pooled ordinary least square (OLS) method and instrumental variable method are used to evaluate the influence of trade and financial opening of sample countries on the volatility of real exchange rate. The main conclusions are that trade openness is negatively correlated with the volatility of real exchange rate, and financial openness is positively correlated with the volatility of real exchange rate. A certain reference is provided for reducing the fluctuation of real exchange rate in the process of opening to the world.With the steady progress of China's opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while promoting economic development. As an innovative business model connecting the real economy and the virtual economy, the Internet of Things (IoT) finance provides standardized technical support for the expansion of trade and finance. In financial data analysis, deep learning (DL) has become an important means to predict financial market movements, process text information and improve trading strategies. Analysis is conducted on the influence of trade and financial opening on the volatility of real exchange rate. Through the empirical test of panel data of 45 major countries in the world, the pooled ordinary least square (OLS) method and instrumental variable method are used to evaluate the influence of trade and financial opening of sample countries on the volatility of real exchange rate. The main conclusions are that trade openness is negatively correlated with the volatility of real exchange rate, and financial openness is positively correlated with the volatility of real exchange rate. A certain reference is provided for reducing the fluctuation of real exchange rate in the process of opening to the world. |
Audience | Academic |
Author | Chen, Zhe |
AuthorAffiliation | Ministry of Natural Resources North Sea Bureau, CHINA School of Economics, Zhejiang University, Hangzhou, China |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35061782$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1007/s13351-017-6053-2 10.1007/s40092-016-0177-3 10.1353/eas.2016.0004 10.1353/jda.2017.0035 10.1016/j.econlet.2019.108765 10.1016/j.worlddev.2016.12.023 10.1111/rurd.12080 10.1111/cwe.12181 10.1007/s11079-018-9493-0 10.1121/1.4970092 10.1057/s41294-017-0048-y 10.1007/s10308-017-0487-0 10.1080/03610918.2013.861487 10.1016/j.jinteco.2021.103511 10.1016/j.frl.2020.101488 10.1007/s00181-017-1266-x 10.1108/CFRI-08-2017-0184 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2022 Public Library of Science 2022 Zhe Chen. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022 Zhe Chen 2022 Zhe Chen |
Copyright_xml | – notice: COPYRIGHT 2022 Public Library of Science – notice: 2022 Zhe Chen. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2022 Zhe Chen 2022 Zhe Chen |
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Snippet | With the steady progress of China’s opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while... With the steady progress of China's opening-up policy, how to avoid the financial risks brought by opening-up is a valuable research topic at present while... |
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SubjectTerms | Business models China Commerce Data analysis Deep Learning Developing countries Economic aspects Economic crisis Economic Development Economic models Economic research Empirical analysis Exchanging Finance Financial services Foreign exchange Foreign exchange markets Foreign exchange rates Funding Information processing International finance International trade Internet of Things LDCs Least-Squares Analysis Liberalization Macroeconomics People and Places Physical Sciences Prices and rates Research and Analysis Methods Securities markets Social Sciences Technical services Trade Volatility Volatility (Finance) |
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Title | The impact of trade and financial expansion on volatility of real exchange rate |
URI | https://www.ncbi.nlm.nih.gov/pubmed/35061782 https://www.proquest.com/docview/2621912877 https://www.proquest.com/docview/2622288305 https://pubmed.ncbi.nlm.nih.gov/PMC8782506 https://doaj.org/article/13ccab35c34e4214992c60d7410c5bb5 http://dx.doi.org/10.1371/journal.pone.0262230 |
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