A vector integer-valued moving average (VINMA) model is introduced.
The VINMA model allows for both positive and negative correlations
between the counts. The conditional and unconditional first and second
order moments are obtained. The CLS and FGLS estimators are discussed.
The model is capable of capturing the covariance between and
within intra-day time series of transaction frequency data due to macroeconomic
news and news related to a specific stock. Empirically, it is
found that the spillover effect from Ericsson B to AstraZeneca is larger
than that from AstraZeneca to Ericsson B
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Publisher Info
Paper provided by Umeå University, Department of Economics in its series Umeå Economic Studies with number
674.
Length: 10 pages Date of creation: 11 Apr 2006 Date of revision: Handle: RePEc:hhs:umnees:0674
Contact details of provider: Postal: Department of Economics, Umeå University, S-901 87 Umeå, Sweden Phone: 090 - 786 61 42 Fax: 090 - 77 23 02 Email: Web page: http://www.econ.umu.se/ More information through EDIRC
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