Day-of-the-Week Effect of Exchange Rate in Developing Countries
This study investigates the presence of the day-of-the-week anomaly in exchange rate for 30 developing countries with free floating exchange rate regimes using daily data from January 2, 2011 to December 31, 2019. First, we apply the GARCH panel to estimate the intraday effect for all the sampled co...
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Veröffentlicht in: | The Journal of Asian finance, economics, and business economics, and business, 2021-02, Vol.8 (2), p.15-23 |
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description | This study investigates the presence of the day-of-the-week anomaly in exchange rate for 30 developing countries with free floating exchange rate regimes using daily data from January 2, 2011 to December 31, 2019. First, we apply the GARCH panel to estimate the intraday effect for all the sampled countries. Second, we run poolability test to check whether the coefficients of the GARCH panel are the same for all countries sampled. The result of poolability test rejects the homogeneity assumption. This implies that our sample countries contain heterogeneity. Third, we apply mean-group estimation by averaging the coefficients for all individual GARCH estimations. Fourth, we divided our sample of developing countries into three groups based on capital restriction index for the reason that the effect of monetary policy on the exchange rate depends on the degree of capital account liberalization. The empirical evidence for the return equation suggests that Mondays are connected with lower volatility whereas Thursdays experiences higher return compared to Tuesdays. The lowest estimated coefficient for full sample, group 1 and group 2, is Friday, but for group 2 is Thursday. We find similar result for the volatility equations, which show that Monday returns are lower compared to Tuesday. |
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First, we apply the GARCH panel to estimate the intraday effect for all the sampled countries. Second, we run poolability test to check whether the coefficients of the GARCH panel are the same for all countries sampled. The result of poolability test rejects the homogeneity assumption. This implies that our sample countries contain heterogeneity. Third, we apply mean-group estimation by averaging the coefficients for all individual GARCH estimations. Fourth, we divided our sample of developing countries into three groups based on capital restriction index for the reason that the effect of monetary policy on the exchange rate depends on the degree of capital account liberalization. The empirical evidence for the return equation suggests that Mondays are connected with lower volatility whereas Thursdays experiences higher return compared to Tuesdays. The lowest estimated coefficient for full sample, group 1 and group 2, is Friday, but for group 2 is Thursday. 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First, we apply the GARCH panel to estimate the intraday effect for all the sampled countries. Second, we run poolability test to check whether the coefficients of the GARCH panel are the same for all countries sampled. The result of poolability test rejects the homogeneity assumption. This implies that our sample countries contain heterogeneity. Third, we apply mean-group estimation by averaging the coefficients for all individual GARCH estimations. Fourth, we divided our sample of developing countries into three groups based on capital restriction index for the reason that the effect of monetary policy on the exchange rate depends on the degree of capital account liberalization. The empirical evidence for the return equation suggests that Mondays are connected with lower volatility whereas Thursdays experiences higher return compared to Tuesdays. The lowest estimated coefficient for full sample, group 1 and group 2, is Friday, but for group 2 is Thursday. We find similar result for the volatility equations, which show that Monday returns are lower compared to Tuesday.</description><issn>2288-4637</issn><issn>2288-4645</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>JDI</sourceid><recordid>eNpNjM9LwzAYQIMoOOb-h1w8Br58TdL0JKOrPwcDGXgsSfplCy2NrFXcf-9BEU_vHR7vgi0QrRXKKH3550V5zVbTlDxoCVZbpRfsbuPOIkcxH0m8EfW8iZHCzHPkzVc4uvFA_NXNxNPIN_RJQ35P44HX-WOcT4mmG3YV3TDR6pdLtr9v9vWj2O4enur1VvQGlJBVLCCWPqCJCCU646CS2pHxgAadDuit8VFBAOqM7DSU3mKpgrfSOl8s2e3Ptk_TnNqxm4b2ef2yQ0AJSiqUldJV8a87Z59bn3MfaJzp1CqQAGgLKEGq4hs8AE-m</recordid><startdate>20210228</startdate><enddate>20210228</enddate><creator>ANWAR, Cep Jandi</creator><creator>OKOT, Nicholas</creator><creator>SUHENDRA, Indra</creator><general>한국유통과학회</general><general>Korea Distribution Science Association</general><scope>P5Y</scope><scope>SSSTE</scope><scope>JDI</scope></search><sort><creationdate>20210228</creationdate><title>Day-of-the-Week Effect of Exchange Rate in Developing Countries</title><author>ANWAR, Cep Jandi ; OKOT, Nicholas ; SUHENDRA, Indra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-k604-19f30f7bc26f2072a6a0915ae6b0262a5c2b86bf40c0ed61d507b8274cb818ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ANWAR, Cep Jandi</creatorcontrib><creatorcontrib>OKOT, Nicholas</creatorcontrib><creatorcontrib>SUHENDRA, Indra</creatorcontrib><collection>Kyobo Scholar (교보스콜라)</collection><collection>Scholar(스콜라)</collection><collection>KoreaScience</collection><jtitle>The Journal of Asian finance, economics, and business</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ANWAR, Cep Jandi</au><au>OKOT, Nicholas</au><au>SUHENDRA, Indra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Day-of-the-Week Effect of Exchange Rate in Developing Countries</atitle><jtitle>The Journal of Asian finance, economics, and business</jtitle><addtitle>Journal of asian finance, economics and business</addtitle><date>2021-02-28</date><risdate>2021</risdate><volume>8</volume><issue>2</issue><spage>15</spage><epage>23</epage><pages>15-23</pages><issn>2288-4637</issn><eissn>2288-4645</eissn><abstract>This study investigates the presence of the day-of-the-week anomaly in exchange rate for 30 developing countries with free floating exchange rate regimes using daily data from January 2, 2011 to December 31, 2019. First, we apply the GARCH panel to estimate the intraday effect for all the sampled countries. Second, we run poolability test to check whether the coefficients of the GARCH panel are the same for all countries sampled. The result of poolability test rejects the homogeneity assumption. This implies that our sample countries contain heterogeneity. Third, we apply mean-group estimation by averaging the coefficients for all individual GARCH estimations. Fourth, we divided our sample of developing countries into three groups based on capital restriction index for the reason that the effect of monetary policy on the exchange rate depends on the degree of capital account liberalization. The empirical evidence for the return equation suggests that Mondays are connected with lower volatility whereas Thursdays experiences higher return compared to Tuesdays. The lowest estimated coefficient for full sample, group 1 and group 2, is Friday, but for group 2 is Thursday. We find similar result for the volatility equations, which show that Monday returns are lower compared to Tuesday.</abstract><pub>한국유통과학회</pub><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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title | Day-of-the-Week Effect of Exchange Rate in Developing Countries |
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