Audrino, Francesco Bühlmann, Peter 2002 Prices or returns of financial assets are most often collected in local times of the trading markets. The need to synchronize multivariate time series of financial prices or returns is motivated by the fact that information continues to flow for closed markets while others are still open. We propose here a synchronization technique which takes this into account. Besides the nice interpretation of synchronization, the method potentially increases the predictive performance of any reasonable model and is more appropriate for the calculation of portfolio risk measures such as for example the expected shortfall. We found empirically that this was the case for the CCC-GARCH(1,1) model for a 7-dimensional time series of daily exchange rate returns. Since multivariate analysis is generally important for analyzing time-changing portfolios and for better portfolio predictions (even when portfolio weights are time-constant), synchronization is a valuable technique for a variety of problems with multivariate financial data. application/pdf https://susi.usi.ch/global/documents/317986 https://n2t.net/ark:/12658/srd1317986 https://susi.usi.ch/documents/317986/files/1_fin0206.pdf eng info:eu-repo/semantics/altIdentifier/ark/12658/srd1317986 info:eu-repo/semantics/openAccess License undefined CCC-GARCH model Expected shortfall Multivariate time series Likelihood estimation Value at Risk. info:eu-repo/classification/udc/33 Synchronizing multivariate financial time series http://purl.org/coar/resource_type/c_816b