2019
DOI: 10.1016/j.intfin.2018.09.009
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Exchange rate comovements, hedging and volatility spillovers on new EU forex markets

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 80 publications
(31 citation statements)
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“…They evidenced that oil and gold market are the net receivers of risk spillovers with the energy, financial, technology and telecommunications subsectors of the DJIM index, whereas the consumer goods, consumer services, health care, industrials, utilities subsectors of DJIM index are the net transmitters. Last but not least, more recent studies such as Restrepo, Uribe, and Manotas (2018), Wang and Guo (2018), Liow, Liao, and Huang (2018), Antonakakis, Cunado, Filis, Gabauer, and De Gracia (2018), Collet and Lelpo (2018), Ahmad, Mishra, and Daly (2018), Ordu‐Akkaya, Ugurlu‐Yildirim, and Soytas (2018), Wang and Wu (2018), Kočenda and Moravcova (2018), Rohit and Dash (2018), and Pavlova, de Boyrie, and Parhizgari (2018) have used the DY spillover index to investigate the intercontinental, intercountry and/or intersectoral return and/or volatility spillovers for energy, commodity and financial assets and indices.…”
Section: Introductionmentioning
confidence: 99%
“…They evidenced that oil and gold market are the net receivers of risk spillovers with the energy, financial, technology and telecommunications subsectors of the DJIM index, whereas the consumer goods, consumer services, health care, industrials, utilities subsectors of DJIM index are the net transmitters. Last but not least, more recent studies such as Restrepo, Uribe, and Manotas (2018), Wang and Guo (2018), Liow, Liao, and Huang (2018), Antonakakis, Cunado, Filis, Gabauer, and De Gracia (2018), Collet and Lelpo (2018), Ahmad, Mishra, and Daly (2018), Ordu‐Akkaya, Ugurlu‐Yildirim, and Soytas (2018), Wang and Wu (2018), Kočenda and Moravcova (2018), Rohit and Dash (2018), and Pavlova, de Boyrie, and Parhizgari (2018) have used the DY spillover index to investigate the intercontinental, intercountry and/or intersectoral return and/or volatility spillovers for energy, commodity and financial assets and indices.…”
Section: Introductionmentioning
confidence: 99%
“…The data sample for previous research consists of the US currency rates to Japan, Great Britain and the Euro area. Kočenda and Moravcová [15] divided the period after GFC (2008-09) into two subsamples according to EU debt crisis. They concluded about the declining conditional correlations among the new EU exchange rates prior to both crises.…”
Section: Methodsmentioning
confidence: 99%
“…The estimation results are listed in Tables 7 and 8, where market 1 represents Shenzhen stock market and market 2 represents Hong Kong stock market. Based on these results, we can further analyze the changes of volatility spillover effect before and after the opening of SHSC [41]. Table 7 B are the coefficient matrixes after the opening of the SHSC.…”
Section: Volatility Spillover Effect Analysis Of Stock Markets In Shementioning
confidence: 99%