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Time-varying dependence between stock and government bond returns: International evidence with dynamic copulas

Author

Listed:
  • Jammazi, Rania
  • Tiwari, Aviral Kr.
  • Ferrer, Román
  • Moya, Pablo

Abstract

This paper investigates the dependence pattern between stock and long-term government bond returns for a wide range of developed countries over the last two decades by using a dynamic DCC-GARCH-copula model. This approach allows obtaining a flexible and comprehensive description of the time variation in the linkage between stock and bond markets.

Suggested Citation

  • Jammazi, Rania & Tiwari, Aviral Kr. & Ferrer, Román & Moya, Pablo, 2015. "Time-varying dependence between stock and government bond returns: International evidence with dynamic copulas," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 74-93.
  • Handle: RePEc:eee:ecofin:v:33:y:2015:i:c:p:74-93
    DOI: 10.1016/j.najef.2015.03.005
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    1. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
    2. Connolly, Robert & Stivers, Chris & Sun, Licheng, 2005. "Stock Market Uncertainty and the Stock-Bond Return Relation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(01), pages 161-194, March.
    3. Campbell, John Y & Ammer, John, 1993. " What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    4. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Ramos-Herrera, María del Carmen, 2014. "An update on EMU sovereign yield spread drivers in times of crisis: A panel data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 133-153.
    5. Lieven Baele & Geert Bekaert & Koen Inghelbrecht, 2007. "The determinants of stock and bond return comovements," Working Paper Research 119, National Bank of Belgium.
    6. HEINEN, Andréas & VALDESOGO, Alfonso, 2009. "Asymmetric CAPM dependence for large dimensions: the Canonical Vine Autoregressive Model," CORE Discussion Papers 2009069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Lee, Tae-Hwy & Long, Xiangdong, 2009. "Copula-based multivariate GARCH model with uncorrelated dependent errors," Journal of Econometrics, Elsevier, vol. 150(2), pages 207-218, June.
    8. Perego, Erica R. & Vermeulen, Wessel N., 2016. "Macro-economic determinants of European stock and government bond correlations: A tale of two regions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 214-232.
    9. Yang, Lu & Hamori, Shigeyuki, 2015. "Interdependence between the bond markets of CEEC-3 and Germany: A wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 124-138.
    10. Pinar Evrim-Mandaci & Hakan Kahyaoglu & Efe Caglar Cagli, 2011. "Stock and bond market interactions with two regime shifts: evidence from Turkey," Applied Financial Economics, Taylor & Francis Journals, vol. 21(18), pages 1355-1368.
    11. Aloui, Chaker & Hammoudeh, Shawkat & Hamida, Hela ben, 2015. "Global factors driving structural changes in the co-movement between sharia stocks and sukuk in the Gulf Cooperation Council countries," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 311-329.
    12. Shiller, Robert J. & Beltratti, Andrea E., 1992. "Stock prices and bond yields : Can their comovements be explained in terms of present value models?," Journal of Monetary Economics, Elsevier, vol. 30(1), pages 25-46, October.
    13. Baur, Dirk G. & Lucey, Brian M., 2009. "Flights and contagion--An empirical analysis of stock-bond correlations," Journal of Financial Stability, Elsevier, vol. 5(4), pages 339-352, December.
    14. Chin Man Chui & Jian Yang, 2012. "Extreme Correlation of Stock and Bond Futures Markets: International Evidence," The Financial Review, Eastern Finance Association, vol. 47(3), pages 565-587, August.
    15. Chiu-Lan Chang & Paul L. Hsueh, 2013. "An Investigation of the Flight-to-Quality Effect: Evidence from Asia-Pacific Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S4), pages 53-69, September.
    16. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
    17. repec:dau:papers:123456789/7746 is not listed on IDEAS
    18. Reboredo, Juan C. & Ugando, Mikel, 2014. "US dollar exchange rate and food price dependence: Implications for portfolio risk management," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 72-89.
    19. Robert B. Durand & Markus Junker & Alex Szimayer, 2010. "The flight-to-quality effect: a copula-based analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(2), pages 281-299.
    20. Erica Perego & Wessel N. Vermeulen, 2013. "Macroeconomic determinants of European stock and government bond relations: a tale of two regions," CREA Discussion Paper Series 13-08, Center for Research in Economic Analysis, University of Luxembourg.
    21. Scruggs, John T. & Glabadanidis, Paskalis, 2003. "Risk Premia and the Dynamic Covariance between Stock and Bond Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(02), pages 295-316, June.
    22. Reboredo, Juan C. & Ugolini, Andrea, 2015. "A vine-copula conditional value-at-risk approach to systemic sovereign debt risk for the financial sector," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 98-123.
    23. Lee, Chien-Chiang & Huang, Wei-Ling & Yin, Chun-Hao, 2013. "The dynamic interactions among the stock, bond and insurance markets," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 28-52.
    24. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    25. repec:wsi:wschap:9789813223585_0012 is not listed on IDEAS
    26. Kim, Gunky & Silvapulle, Mervyn J. & Silvapulle, Paramsothy, 2007. "Comparison of semiparametric and parametric methods for estimating copulas," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2836-2850, March.
    27. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    28. Lieven Baele, 2010. "The Determinants of Stock and Bond Return Comovements," Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2374-2428, June.
    29. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    30. Suk-Joong Kim & Fari Moshirian & Eliza Wu, 2018. "Evolution of International Stock and Bond Market Integration: Influence of the European Monetary Union," World Scientific Book Chapters,in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 12, pages 391-428 World Scientific Publishing Co. Pte. Ltd..
    31. Chih-Chiang Wu & Zih-Ying Lin, 2014. "An economic evaluation of stock-bond return comovements with copula-based GARCH models," Quantitative Finance, Taylor & Francis Journals, vol. 14(7), pages 1283-1296, July.
    32. Wu, Chih-Chiang & Liang, Shin-Shun, 2011. "The economic value of range-based covariance between stock and bond returns with dynamic copulas," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 711-727, September.
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    Citations

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    Cited by:

    1. Perego, Erica R. & Vermeulen, Wessel N., 2016. "Macro-economic determinants of European stock and government bond correlations: A tale of two regions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 214-232.
    2. repec:eee:reveco:v:55:y:2018:i:c:p:285-294 is not listed on IDEAS
    3. Atil, Ahmed & Bradford, Marc & Elmarzougui, Abdelaziz & Lahiani, Amine, 2016. "Conditional dependence of US and EU sovereign CDS: A time-varying copula-based estimation," Finance Research Letters, Elsevier, vol. 19(C), pages 42-53.
    4. repec:eee:jrpoli:v:52:y:2017:i:c:p:308-319 is not listed on IDEAS
    5. Thomas Flavin & Dolores Lagoa-Varela, 2016. "Do long-term bonds hedge equity risk? Evidence from Spain," Economics, Finance and Accounting Department Working Paper Series n275-16.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    6. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Ali, Sajid & Ameer, Saba, 2016. "Interdependence between Greece and other European stock markets: A comparison of wavelet and VMD copula, and the portfolio implications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 8-33.
    7. Hussain Shahzad, Syed Jawad & Raza, Naveed & Shahbaz, Muhammad & Ali, Azwadi, 2017. "Dependence of stock markets with gold and bonds under bullish and bearish market states," Resources Policy, Elsevier, vol. 52(C), pages 308-319.

    More about this item

    Keywords

    Stock returns; Government bond returns; Dependence; Flight-to-quality; Time-varying copulas;

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F30 - International Economics - - International Finance - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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