Carry returns have been widely observed in the FX market. This study exploits the common information embedded in several factors previously identified as relevant to carry trade returns. We find that the extracted common factor successfully models the time series and cross-sectional characteristics of carry returns. Empirical evidence is presented that the common factor produces smaller pricing errors than other well known factors, such as innovations of exchange rate volatility and the downside stock market excess return. Our results also suggest that stock market risk is somewhat segmented from FX market risk.
JEL Classification Codes: C38, F31, G12, G15
This paper extends the topical literature on the co-movement and determinants of primary commodity prices, by considering heterogeneity in commodities and time variation in the impact of fundamentals. We account for heterogeneity by employing a dynamic hierarchical factor model, which decomposes commodities into global and sectoral factors. Using a time varying parameter factor augmented VAR model, we shock global and sector-specific factors over time. We present plausible impulse responses to demand shocks, real interest rate shocks, and to elevated risks during the global financial crisis. We also identify that materials, food and metals respond heterogeneously to these shocks.
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