Stock-bond return correlations: Moving away from “one-frequency-fits-all” by extending the DCC-MIDAS approach

Anne-Florence Allard, Leonardo Iania and Kristien Smedts

International Review of Financial Analysis, 2020, vol. 71, issue C

Abstract: This paper explores the determinants of U.S. stock-bond correlations estimated at various frequencies. For this purpose, the two-component DCC-MIDAS model of correlation (Colacito et al., 2011) is used and extended to incorporate a third correlation frequency component. Subsequently, macroeconomic and financial variables are studied as determinants of each component. We show that the daily correlation component is driven by financial market factors, while the monthly component is more influenced by macroeconomic factors. Finally, the yearly component is determined by funding opportunities in the economy. These results are important as they show that different correlation components and determinants should be considered for different investment horizons.

Keywords: Stock-bond correlation; Frequency-variation; Macroeconomic factors; Financial factors; DCC-MIDAS model (search for similar items in EconPapers)
JEL-codes: C32 C58 E44 G11 G12 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)

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Working Paper: Stock-bond return correlations: Moving away from "one-frequency-fits-all" by extending the DCC-MIDAS approach (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:71:y:2020:i:c:s1057521920302015

DOI: 10.1016/j.irfa.2020.101557

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