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Nonlinear Analyses of Exchange Rates of Six Emerging Markets
This paper presents some empirical evidences on the presence of nonlinearity of exchange rates of six emerging markets by using Brock-Dechert-Scheinkman (BDS) test and Volterra-Wiener-Korenberg (VWK) model, respectively. The nonlinear dependences are found in the exchange rates of six emerging marke...
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Published in: | Shanghai jiao tong da xue xue bao 2012-02, Vol.17 (1), p.108-113 |
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description | This paper presents some empirical evidences on the presence of nonlinearity of exchange rates of six emerging markets by using Brock-Dechert-Scheinkman (BDS) test and Volterra-Wiener-Korenberg (VWK) model, respectively. The nonlinear dependences are found in the exchange rates of six emerging markets. Furthermore, this paper applies the VWK model with surrogate data method to detect if their nonlinear dependences are deterministic or not. The results show that the above exchange rates are deterministic and nonlinear time series. These imply that the exchange rate markets do not conform to the requirements of the random walk hypothesis. Therefore, the nonlinear dynamic model should be used to analyze the exchange rates. |
doi_str_mv | 10.1007/s12204-012-1236-6 |
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Therefore, the nonlinear dynamic model should be used to analyze the exchange rates.</description><identifier>ISSN: 1007-1172</identifier><identifier>EISSN: 1995-8188</identifier><identifier>DOI: 10.1007/s12204-012-1236-6</identifier><language>eng</language><publisher>Heidelberg: Shanghai Jiaotong University Press</publisher><subject>Architecture ; Computer Science ; Electrical Engineering ; Empirical analysis ; Engineering ; Life Sciences ; Markets ; Materials Science ; Nonlinear dynamics ; Nonlinearity ; Random walk ; Time series</subject><ispartof>Shanghai jiao tong da xue xue bao, 2012-02, Vol.17 (1), p.108-113</ispartof><rights>Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2626-638564eea905066ad2db6bdce1d8702a6def7dbc794df4050d10a238444fbc093</citedby><cites>FETCH-LOGICAL-c2626-638564eea905066ad2db6bdce1d8702a6def7dbc794df4050d10a238444fbc093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85391X/85391X.jpg</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>雷强 潘英丽</creatorcontrib><title>Nonlinear Analyses of Exchange Rates of Six Emerging Markets</title><title>Shanghai jiao tong da xue xue bao</title><addtitle>J. Shanghai Jiaotong Univ. (Sci.)</addtitle><addtitle>Journal of Shanghai Jiaotong university</addtitle><description>This paper presents some empirical evidences on the presence of nonlinearity of exchange rates of six emerging markets by using Brock-Dechert-Scheinkman (BDS) test and Volterra-Wiener-Korenberg (VWK) model, respectively. The nonlinear dependences are found in the exchange rates of six emerging markets. Furthermore, this paper applies the VWK model with surrogate data method to detect if their nonlinear dependences are deterministic or not. The results show that the above exchange rates are deterministic and nonlinear time series. These imply that the exchange rate markets do not conform to the requirements of the random walk hypothesis. 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Shanghai Jiaotong Univ. (Sci.)</stitle><addtitle>Journal of Shanghai Jiaotong university</addtitle><date>2012-02</date><risdate>2012</risdate><volume>17</volume><issue>1</issue><spage>108</spage><epage>113</epage><pages>108-113</pages><issn>1007-1172</issn><eissn>1995-8188</eissn><abstract>This paper presents some empirical evidences on the presence of nonlinearity of exchange rates of six emerging markets by using Brock-Dechert-Scheinkman (BDS) test and Volterra-Wiener-Korenberg (VWK) model, respectively. The nonlinear dependences are found in the exchange rates of six emerging markets. Furthermore, this paper applies the VWK model with surrogate data method to detect if their nonlinear dependences are deterministic or not. The results show that the above exchange rates are deterministic and nonlinear time series. These imply that the exchange rate markets do not conform to the requirements of the random walk hypothesis. 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subjects | Architecture Computer Science Electrical Engineering Empirical analysis Engineering Life Sciences Markets Materials Science Nonlinear dynamics Nonlinearity Random walk Time series |
title | Nonlinear Analyses of Exchange Rates of Six Emerging Markets |
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