2007
DOI: 10.2139/ssrn.4163982
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A portfolio balance approach to Euro-area money demand in a time-varying environment

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Cited by 21 publications
(1 citation statement)
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“…It is opined that the performance of exchange rate predictive models would improve if models could account for evolution in the estimated parameters. An overview of the literature have shown that the TVP models are able to beat the random walk models (Abbate & Marcellino, 2014;Della Corte et al, 2009;Engel, Mark, & West, 2008;Hall, Hondroyiannis, Swamy, & Tavlas, 2008;Haskamp, 2017;Molodtsova & Papell, 2009). TVP has been modelled in different variants: the traditional Bayesian model (Byrne et al, 2016), Bayesian-VAR (Della Corte et al, 2009), dynamic Bayesian-VAR (Abbate & Marcellino, 2014).…”
Section: Portfolio Balance Theorymentioning
confidence: 99%
“…It is opined that the performance of exchange rate predictive models would improve if models could account for evolution in the estimated parameters. An overview of the literature have shown that the TVP models are able to beat the random walk models (Abbate & Marcellino, 2014;Della Corte et al, 2009;Engel, Mark, & West, 2008;Hall, Hondroyiannis, Swamy, & Tavlas, 2008;Haskamp, 2017;Molodtsova & Papell, 2009). TVP has been modelled in different variants: the traditional Bayesian model (Byrne et al, 2016), Bayesian-VAR (Della Corte et al, 2009), dynamic Bayesian-VAR (Abbate & Marcellino, 2014).…”
Section: Portfolio Balance Theorymentioning
confidence: 99%