Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611066
Title: The pricing of risk in the carry trade
Author: Lu, Wenna
ISNI:       0000 0004 5365 3603
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2014
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Abstract:
This thesis examines the relationship between foreign exchange (FX) volatility and excess returns from the currency market. We argue that FX volatility plays an important role in explaining the excess returns from the currency market so as in partially explaining the long stranding unsolved puzzles in FX market: the uncovered interest rate parity (UIP) puzzle and the purchasing power parity (PPP) puzzle. There are two empirical parts in this thesis. In the first part, we take the FX volatility risk as risk factors to price the cross sectional excess returns from the carry trade in three different settings, the unconditional ICAPM model, the conditional ICAPM model and a model separating the volatility risk into a persistent volatility risk factor and a less persistent volatility risk factor. For all three models, we find that the excess returns from the carry trade are negatively correlated with the FX volatility risk factors. The volatility risk factors are negatively priced and can explain about 90% cross sectional excess returns from the carry trade. We argue that the excess returns from the carry trade are compensations for bearing volatility risks, especially during high volatility risk period and regardless whether the volatility risks are persistent or not. In the second part, we investigate the puzzles in FX market under different FX volatility regimes. We find that the carry trade suffers from losses during high volatility period is because both the UIP and the PPP tends to reassert themselves under high volatility period, at least to some extent. Thus if we switch from the carry trade strategy to a PPP implied trading strategy during high volatility period, we could avoid the losses from the carry trade and have higher average excess returns. More importantly, we could make this “mixed” strategy tradable by using last period’s FX volatility state to forecast this period’s volatility state.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.611066  DOI: Not available
Keywords: HB Economic Theory
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