Common Factors in Currency Characteristics
Employing three-dimensional Tucker tensor decomposition, the study extracts stable FX factors summarizing currency characteristics, emphasizing carry trade and hedging risks.
What it examines
This paper introduces a tensor factor model based on Tucker decomposition to extract latent factors from currency characteristics observed across time and multiple currencies. It addresses limited cross-sectional data in FX by combining features to capture carry trade signals and other risk measures, thereby improving currency return pricing.
What it concludes
Our results show that two stable factors, closely related to the carry trade, dominate currency pricing. The model reduces pricing errors and delivers strategies with high Sharpe ratios. Applications include better currency risk management, trading strategy development, and improved FX pricing for risk assessment and policy decisions.
Evidence objects
The study introduces an innovative three-dimensional tensor factor model using Tucker decomposition to analyze currency characteristics over time across currencies, revealing a dominant stable latent factor mirroring traditional carry trade.
key_findings bullet 1 · key_findings · validation V0
A second latent factor reliably hedges carry trade crash risk, while additional factors reduce pricing errors and notably enhance Sharpe ratios, although higher-order factors exhibit instability across multiple time periods.
key_findings bullet 2 · key_findings · validation V0
The study extends factor models into a multidimensional framework by introducing 'Tucker factors,' an alternative to PCA via alternating least squares sorting, though sensitivity to dynamic shifts warrants additional research.
key_findings bullet 3 · key_findings · validation V0
Addressing FX's limited cross-sectional currency data, the paper presents a novel three-dimensional tensor factor model via Tucker decomposition ($$\mathcal{X}=\mathcal{G}\times_1 A\times_2 B\times_3 C$$) for simultaneous analysis across time, currencies, and characteristics. It decomposes the carry trade factor into separate components, delivering fresh risk insights and improved pricing, making it compelling for quantitative finance research.
key_findings bullet 4 · key_findings · validation V0
Raw abstract and provenance
- … trade and the second factor acts as a hedge against carry crash risk, that is composed of signals from FX momentum, FX … Since then the literature on foreign exchange …
Source row: 423 · abstract type: snippet