A multivariate generalized ARCH approach to modeling risk premia in forward foreign exchange rate markets

dc.contributor.author

Baillie, RT

dc.contributor.author

Bollerslev, T

dc.date.accessioned

2010-03-09T15:34:47Z

dc.date.issued

1990-01-01

dc.description.abstract

Assuming that daily spot exchange rates follow a martingale process, we derive the implied time series process for the vector of 30-day forward rate forecast errors from using weekly data. The conditional second moment matrix of this vector is modelled as a multivariate generalized ARCH process. The estimated model is used to test the hypothesis that the risk premium is a linear function of the conditional variances and covariances as suggested by the standard asset pricing theory literature. Little supportt is found for this theory; instead lagged changes in the forward rate appear to be correlated with the 'risk premium.'. © 1990.

dc.format.mimetype

application/pdf

dc.identifier.issn

0261-5606

dc.identifier.uri

https://hdl.handle.net/10161/1970

dc.language.iso

en_US

dc.publisher

Elsevier BV

dc.relation.ispartof

Journal of International Money and Finance

dc.relation.isversionof

10.1016/0261-5606(90)90012-O

dc.title

A multivariate generalized ARCH approach to modeling risk premia in forward foreign exchange rate markets

dc.type

Journal article

pubs.begin-page

309

pubs.end-page

324

pubs.issue

3

pubs.organisational-group

Duke

pubs.organisational-group

Economics

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

9

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