Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A value-at-risk analysis of carry trades using skew-GARCH models

A value-at-risk analysis of carry trades using skew-GARCH models Abstract We carry out a value-at-risk (VaR) analysis of an extremely popular strategy in the currency markets, namely, “carry trades,” whereby a position purchased in high interest rate currencies is funded by selling low interest rate currencies. Since the natural outcome of the truncated normal distribution of interest-rate spreads combined with the normal distribution of exchange rate returns is a skew-normal distribution, we consider a skew-normal innovation with zero mean for our analysis of carry trade returns using generalized autoregressive conditional heteroskedasticity (GARCH) models. The stress testing results reveal that skew-normal or densities are suitable for the measurement of VaR for carry trade returns involving, for example, taking up a long position in Australian Dollars or Argentine Peso which are funded by selling Japanese Yen. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Studies in Nonlinear Dynamics & Econometrics de Gruyter

A value-at-risk analysis of carry trades using skew-GARCH models

Loading next page...
 
/lp/de-gruyter/a-value-at-risk-analysis-of-carry-trades-using-skew-garch-models-pl7gm7BXV0

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
de Gruyter
Copyright
Copyright © 2013 by the
ISSN
1081-1826
eISSN
1558-3708
DOI
10.1515/snde-2012-0028
Publisher site
See Article on Publisher Site

Abstract

Abstract We carry out a value-at-risk (VaR) analysis of an extremely popular strategy in the currency markets, namely, “carry trades,” whereby a position purchased in high interest rate currencies is funded by selling low interest rate currencies. Since the natural outcome of the truncated normal distribution of interest-rate spreads combined with the normal distribution of exchange rate returns is a skew-normal distribution, we consider a skew-normal innovation with zero mean for our analysis of carry trade returns using generalized autoregressive conditional heteroskedasticity (GARCH) models. The stress testing results reveal that skew-normal or densities are suitable for the measurement of VaR for carry trade returns involving, for example, taking up a long position in Australian Dollars or Argentine Peso which are funded by selling Japanese Yen.

Journal

Studies in Nonlinear Dynamics & Econometricsde Gruyter

Published: Sep 1, 2013

References