2016
DOI: 10.1016/j.jimonfin.2016.07.001
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Commodity returns co-movements: Fundamentals or “style” effect?

Abstract: This paper investigates dynamic correlations both across commodities and between commodities and traditional assets, such as equities and government bonds, using the Regime Switching Dynamic Correlation (RSDC) model. In particular, this paper assesses the dynamics of 32 daily commodity futures returns, spanning a period from May 28, 2003, to June 04, 2014, in the light of economic and financial events before and after the mid-2007 financial crisis. There are three major findings. First, prior to the financial … Show more

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Cited by 13 publications
(4 citation statements)
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References 26 publications
(21 reference statements)
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“…The Chinese economic variables show some marginal statistical significance but in terms of economical importance only contribute a small amount of the total R 2 . The positive sign for global demand is especially interesting since it suggests that there is more common movement in expansions rather than recessions while conventional wisdom suggests that correlations increase during bad times (for commodities see Charlot et al ., ); however our result complements Büyükşahin and Robe (2014) who find less co‐movement of commodites with equities during periods of financial stress…”
Section: Econometric Resultssupporting
confidence: 87%
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“…The Chinese economic variables show some marginal statistical significance but in terms of economical importance only contribute a small amount of the total R 2 . The positive sign for global demand is especially interesting since it suggests that there is more common movement in expansions rather than recessions while conventional wisdom suggests that correlations increase during bad times (for commodities see Charlot et al ., ); however our result complements Büyükşahin and Robe (2014) who find less co‐movement of commodites with equities during periods of financial stress…”
Section: Econometric Resultssupporting
confidence: 87%
“…* is significant at 10% level, ** is significant at 5% level and *** is significant at the 1% level. See Table 3 for variable descriptions. see Charlot et al, 2016); however our result complements Büyükşahin and Robe (2014) who find less co-movement of commodites with equities during periods of financial stress. 18 Results are robust to (i) the impact of outliers on our main results and (ii) testing that the change in the average contribution of the individual factor is a reflection of the common factor.…”
Section: Relationship Of the Aggregate Factor Variation Contributionssupporting
confidence: 74%
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“…The increase investment in commodities by financial investors (e.g. swap dealers and money managers) placed a greater importance on commodity futures exchanges as an asset class and led consequently to the financialization of commodity markets (among many others; see, Henderson et al (2015) ; Adams and Glück, 2015 ; Gao and Suss, 2015 ; Charlot et al, 2016 ; Algieri and Leccadito, 2017 ; Nguyen et al, 2020a , b ; Yang et al, 2020 ; Ali et al, 2020 ). 1…”
Section: Introductionmentioning
confidence: 99%