Kurt Brännäs (), Jan G De Gooijer (), Carl Lönnbark () and Albina Soultanaeva ()
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Kurt Brännäs: Department of Economics, Umeå University, Postal: S 901 87 Umeå, Sweden
Jan G De Gooijer: Department of Quantitative Economics, Postal: University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands
Carl Lönnbark: Department of Economics, Umeå University, Postal: S 901 87 Umeå, Sweden
Albina Soultanaeva: Department of Economics, Umeå University, Postal: S 901 87 Umeå, Sweden
Abstract: The paper suggests a nonlinear and multivariate time series model framework that enables the study of simultaneity in returns and in volatilities, as well as asymmetric effects arising from shocks and an outside stock exchange. Using daily data 2000-2006 for the Baltic state stock exchanges and that of Moscow we find recursive structures with Riga directly depending in returns on Tallinn and Vilnius, and Tallinn on Vilnius. For volatilities both Riga and Vilnius depend on Tallinn. In addition, we find evidence of asymmetric effects arising in Moscow and in Baltic state shocks on both returns and volatilities.
Keywords: Time series; nonlinear; multivariate; finance; value at risk; portfolio allocation
JEL-codes: C32; C51; G11; G12; G14; G15
19 pages, November 16, 2007
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