2013
DOI: 10.1016/j.jfineco.2013.04.010
|View full text |Cite
|
Sign up to set email alerts
|

Predictability of currency carry trades and asset pricing implications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

9
54
1

Year Published

2013
2013
2021
2021

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 130 publications
(65 citation statements)
references
References 74 publications
9
54
1
Order By: Relevance
“…Bakshi and Panayotov (2013) show that carry-trade returns can be predicted with changes in volatility, commodity prices, and a liquidity factor.…”
Section: Time-varying Fundamentalsmentioning
confidence: 97%
“…Bakshi and Panayotov (2013) show that carry-trade returns can be predicted with changes in volatility, commodity prices, and a liquidity factor.…”
Section: Time-varying Fundamentalsmentioning
confidence: 97%
“…As a point of comparison, our analysis takes into consideration other factors in the literature, such as the Bakshi and Panayotov (2013) predictors or average forward discounts in order to estimate conditional predictive regressions of the common factors. We find that our factors can forecast currency excess returns over and above commodity, volatility, and liquidity factors as well as average forward discounts.…”
Section: Introductionmentioning
confidence: 99%
“…Empirically, I focus on the one-month carry trade returns which are computed using the practical version of (41) As reported by Bakshi and Panayotov (2011), carry trade is more profitable when implemented on a dynamic re-balancing basis, under which investors always short the low-interest currency and long the high-interest currency. Correspondingly on the model side, I need to break the complete symmetry so as to produce positive expected returns for carry trade.…”
Section: The First Two Moments Of Carry Trade Returnsmentioning
confidence: 99%
“…Different from Verdelhan (2010), and Bansal and Shaliastovich (2010) who respectively apply habit formation and long-run risk to explain the UIP anomaly, this paper exploits a variable disaster framework. Departing from Burnside, Eichenbaum, Kleshchelski, andRebelo (2011), andPanayotov (2011), it provides a general equilibrium setup for studying carry trade. Unlike 1 Take the UIP anomaly for example.…”
Section: Introductionmentioning
confidence: 99%