Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function

In order to explore the relationship between exchange rate fluctuations and oil prices, this paper combines the copula function to study the correlation between exchange rate fluctuations and oil price changes, conducts a more comprehensive study of the copula function, and applies the algorithm to...

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Main Author: Xiaodong Huang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/1023725
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author Xiaodong Huang
author_facet Xiaodong Huang
author_sort Xiaodong Huang
collection DOAJ
description In order to explore the relationship between exchange rate fluctuations and oil prices, this paper combines the copula function to study the correlation between exchange rate fluctuations and oil price changes, conducts a more comprehensive study of the copula function, and applies the algorithm to some practical classification problems. Moreover, this paper improves some defects in the algorithm and combines some new learning frameworks in machine learning to generalize the copula function to a variety of learning models. In addition, this paper studies how to use the coverage algorithm to construct classifiers under various problems and proposes corresponding improvement strategies according to the characteristics of various problems. Finally, this paper builds a correlation analysis algorithm model and uses simulation research to verify that there is a relatively obvious correlation between exchange rate fluctuations and oil price changes.
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institution Kabale University
issn 1687-5699
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publishDate 2022-01-01
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spelling doaj-art-7886b7bb3d9843e6b0c766db956842df2025-02-03T05:57:30ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/1023725Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula FunctionXiaodong Huang0School of Economics and ManagementIn order to explore the relationship between exchange rate fluctuations and oil prices, this paper combines the copula function to study the correlation between exchange rate fluctuations and oil price changes, conducts a more comprehensive study of the copula function, and applies the algorithm to some practical classification problems. Moreover, this paper improves some defects in the algorithm and combines some new learning frameworks in machine learning to generalize the copula function to a variety of learning models. In addition, this paper studies how to use the coverage algorithm to construct classifiers under various problems and proposes corresponding improvement strategies according to the characteristics of various problems. Finally, this paper builds a correlation analysis algorithm model and uses simulation research to verify that there is a relatively obvious correlation between exchange rate fluctuations and oil price changes.http://dx.doi.org/10.1155/2022/1023725
spellingShingle Xiaodong Huang
Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function
Advances in Multimedia
title Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function
title_full Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function
title_fullStr Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function
title_full_unstemmed Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function
title_short Correlation Analysis between Exchange Rate Fluctuations and Oil Price Changes Based on Copula Function
title_sort correlation analysis between exchange rate fluctuations and oil price changes based on copula function
url http://dx.doi.org/10.1155/2022/1023725
work_keys_str_mv AT xiaodonghuang correlationanalysisbetweenexchangeratefluctuationsandoilpricechangesbasedoncopulafunction