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Asymmetric correlations in equity returns: a fundamental-based explanation

Author

Listed:
  • Liang Ding
  • Hiroyoki Miyake
  • Hao Zou

Abstract

Many studies have shown that the correlation of stock portfolio returns is higher during market downturns, while very few of them offer an explanation for the causes of such an asymmetry. This article examines potential fundamental causes for the phenomenon. We find that such an asymmetry is caused by the following sources during market downturns: increasing common fundamental risk, higher correlation of individual fundamental risk and more sensitive loadings of these risk factors. We also find that these fundamental factors can only partially explain the asymmetric correlation. Possible mechanisms for these sources to drive the asymmetry are also discussed in the article.

Suggested Citation

  • Liang Ding & Hiroyoki Miyake & Hao Zou, 2011. "Asymmetric correlations in equity returns: a fundamental-based explanation," Applied Financial Economics, Taylor & Francis Journals, vol. 21(6), pages 389-399.
  • Handle: RePEc:taf:apfiec:v:21:y:2011:i:6:p:389-399
    DOI: 10.1080/09603107.2010.532106
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    References listed on IDEAS

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    1. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    2. Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Multivariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 669, Stockholm School of Economics, revised 18 Jan 2008.
    3. Young-Hye Cho & Robert F. Engle, 1999. "Time-Varying Betas and Asymmetric Effect of News: Empirical Analysis of Blue Chip Stocks," NBER Working Papers 7330, National Bureau of Economic Research, Inc.
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    Cited by:

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    2. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    3. Linyu Cao & Ruili Sun & Tiefeng Ma & Conan Liu, 2023. "On Asymmetric Correlations and Their Applications in Financial Markets," JRFM, MDPI, vol. 16(3), pages 1-18, March.
    4. Lee, Minhyuk & Song, Jae Wook & Park, Ji Hwan & Chang, Woojin, 2017. "Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA," Chaos, Solitons & Fractals, Elsevier, vol. 97(C), pages 28-38.
    5. Nianling Wang & Lijie Zhang & Zhuo Huang & Yong Li, 2021. "Asymmetric Correlations in Predicting Portfolio Returns," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 97-120, March.
    6. Chung, Y. Peter & Hong, Hyun A. & Kim, S. Thomas, 2019. "What causes the asymmetric correlation in stock returns?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 190-212.
    7. Zhang, Chen & Ni, Zhiwei & Ni, Liping, 2016. "Asymmetric multiscale behavior in PM2.5 time series: Based on asymmetric MS-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 355-365.
    8. Kristjanpoller, Werner & Bouri, Elie & Takaishi, Tetsuya, 2020. "Cryptocurrencies and equity funds: Evidence from an asymmetric multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    9. Joëts, Marc, 2014. "Energy price transmissions during extreme movements," Economic Modelling, Elsevier, vol. 40(C), pages 392-399.
    10. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2011. "The instability of the correlation structure of the S&P 500," MPRA Paper 34160, University Library of Munich, Germany.
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    12. Valadkhani, Abbas, 2022. "Do large-cap exchange-traded funds perform better than their small-cap counterparts in extreme market conditions?☆," Global Finance Journal, Elsevier, vol. 53(C).
    13. Liu, Junlin & Chen, Feier, 2018. "Asymmetric volatility varies in different dry bulk freight rate markets under structure breaks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 316-327.
    14. Zhang, Chen & Ni, Zhiwei & Ni, Liping & Li, Jingming & Zhou, Longfei, 2016. "Asymmetric multifractal detrending moving average analysis in time series of PM2.5 concentration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 322-330.
    15. Cao, Guangxi & Cao, Jie & Xu, Longbing & He, LingYun, 2014. "Detrended cross-correlation analysis approach for assessing asymmetric multifractal detrended cross-correlations and their application to the Chinese financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 460-469.
    16. Marc Joëts, 2012. "Energy price transmissions during extreme movements," Working Papers hal-04141047, HAL.
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