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Comovements Of Different Asset Classes During Market Stress

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  • Jan Piplack
  • Stefan Straetmans

Abstract

This paper measures US financial asset class linkages (stocks, bonds, T‐bills and gold) during crisis periods. We use extreme value analysis to assess the bivariate exposure of one asset class to extreme movements in the other asset classes. These bivariate co‐crash probabilities can be interpreted as a measure of financial contagion. Statistical testing reveals that bivariate extreme linkage estimates exhibit time variation for certain asset pairs, possibly caused by exogenous factors like oil shocks or shifts in monetary policy. Our results have potentially important implications for long‐run strategic asset allocation and pension fund management.

Suggested Citation

  • Jan Piplack & Stefan Straetmans, 2010. "Comovements Of Different Asset Classes During Market Stress," Pacific Economic Review, Wiley Blackwell, vol. 15(3), pages 385-400, August.
  • Handle: RePEc:bla:pacecr:v:15:y:2010:i:3:p:385-400
    DOI: 10.1111/j.1468-0106.2010.00509.x
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    Cited by:

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    2. Jessica James & Kristjan Kasikov & Kerry-Ann Edwards, 2012. "The end of diversification," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1629-1636, November.
    3. Disli, Mustafa & Nagayev, Ruslan & Salim, Kinan & Rizkiah, Siti K. & Aysan, Ahmet F., 2021. "In search of safe haven assets during COVID-19 pandemic: An empirical analysis of different investor types," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Poshakwale, Sunil S. & Mandal, Anandadeep, 2016. "Determinants of asymmetric return comovements of gold and other financial assets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 229-242.
    5. Mohamed Arouri & Duc Khuong Nguyen & Kuntara Pukthuanthong, 2014. "Diversification benefits and strategic portfolio allocation across asset classes: The case of the US markets," Working Papers 2014-294, Department of Research, Ipag Business School.
    6. Anandadeep Mandal & Sunil S. Poshakwale & Gabriel J. Power, 2021. "Do investors gain from forecasting the asymmetric return co‐movements of financial and real assets?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3246-3268, July.
    7. Phong Nguyen & Wei-han Liu, 2017. "Time-Varying Linkage of Possible Safe Haven Assets: A Cross-Market and Cross-asset Analysis," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 43-76, March.
    8. Chan, Kam Fong & Treepongkaruna, Sirimon & Brooks, Robert & Gray, Stephen, 2011. "Asset market linkages: Evidence from financial, commodity and real estate assets," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1415-1426, June.
    9. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    10. Lin Ren & Yingyue Sun & Deping Xiong & Yu Wei, 2025. "Evaluating the Impact of Private and Public Sentiments on the Linkage Between Gold and Stock Markets: Evidence from China," Evaluation Review, , vol. 49(4), pages 739-772, August.
    11. Takashi Miyazaki & Shigeyuki Hamori, 2018. "The Determinants Of A Simultaneous Crash In Gold And Stock Markets: An Ordered Logit Approach," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-25, March.
    12. Poshakwale, Sunil S. & Mandal, Anandadeep, 2016. "What drives asymmetric dependence structure of asset return comovements?," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 312-330.
    13. Franz Fuerst & Pat McAllister & Petros Sivitanides, 2011. "Flight to Quality? An Investigation of the Attributes of Sold Properties in Hot and Cold Markets," Real Estate & Planning Working Papers rep-wp2011-04, Henley Business School, University of Reading.

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