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Dynamic conditional relationships between developed and emerging markets

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  • Song, Wonho
  • Park, Sung Y.
  • Ryu, Doojin

Abstract

This study examines the dynamic conditional correlations between the US and Korean financial markets and identifies the determinants of those correlations using the VAR-DCC-MGARCH model. We find that the Global Financial Crisis (GFC) affects both countries. Although the shocks to the Korean market before the GFC are not shared by the US market, those to the US market after the GFC are shared by the Korean market. We also examine the determinants of the dynamic conditional relations between the US and Korean markets using domestic macroeconomic variables and US/Korean financial variables. The results indicate that the US financial variables are more significant than domestic macroeconomic variables and that they have become increasingly important over time.

Suggested Citation

  • Song, Wonho & Park, Sung Y. & Ryu, Doojin, 2018. "Dynamic conditional relationships between developed and emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 534-543.
    • Handle: RePEc:eee:phsmap:v:507:y:2018:i:c:p:534-543
    DOI: 10.1016/j.physa.2018.05.007
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    1. Schwert, G. William, 1989. "Business cycles, financial crises, and stock volatility," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 31(1), pages 83-125, January.
    2. Park, Hail & Shin, Yongcheol, 2017. "Exploring international linkages using generalised connectedness measures: The case of Korea," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 49-64.
    3. Campbell, Sean D. & Diebold, Francis X., 2009. "Stock Returns and Expected Business Conditions: Half a Century of Direct Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 266-278.
    4. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
    5. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    6. Song, Wonho & Ryu, Doojin & Webb, Robert I., 2016. "Overseas market shocks and VKOSPI dynamics: A Markov-switching approach," Finance Research Letters, Elsevier, vol. 16(C), pages 275-282.
    7. repec:bla:jfinan:v:44:y:1989:i:5:p:1115-53 is not listed on IDEAS
    8. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    9. Kim, Jungmu & Park, Yuen Jung & Ryu, Doojin, 2018. "Testing CEV stochastic volatility models using implied volatility index data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 224-232.
    10. Schwert, G William, 1990. "Stock Returns and Real Activity: A Century of Evidence," Journal of Finance, American Finance Association, vol. 45(4), pages 1237-1257, September.
    11. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    12. Ryu, Doojin, 2013. "What types of investors generate the two-phase phenomenon?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5939-5946.
    13. Dooley, Michael & Hutchison, Michael, 2009. "Transmission of the U.S. subprime crisis to emerging markets: Evidence on the decoupling-recoupling hypothesis," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1331-1349, December.
    14. Gilmore, Claire G. & McManus, Ginette M., 2002. "International portfolio diversification: US and Central European equity markets," Emerging Markets Review, Elsevier, vol. 3(1), pages 69-83, March.
    15. Doojin Ryu & Hyeyoen Kim & Heejin Yang, 2017. "Investor sentiment, trading behavior and stock returns," Applied Economics Letters, Taylor & Francis Journals, vol. 24(12), pages 826-830, July.
    16. Heejin Yang & Hyung‐Suk Choi & Doojin Ryu, 2017. "Option Market Characteristics and Price Monotonicity Violations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(5), pages 473-498, May.
    17. M. Hashem Pesaran & Ron Smith, 2006. "Macroeconometric Modelling With A Global Perspective," Manchester School, University of Manchester, vol. 74(s1), pages 24-49, September.
    18. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    19. Eunsun Yang & Sunghyun Henry Kim & Maria H Kim & Doojin Ryu, 2018. "Macroeconomic shocks and stock market returns: the case of Korea," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 757-773, February.
    20. Doowon Ryu & Doojin Ryu & Joon Ho Hwang, 2017. "Corporate governance, product-market competition, and stock returns: evidence from the Korean market," Asian Business & Management, Palgrave Macmillan, vol. 16(1), pages 50-91, April.
    21. Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
    22. Park, Sung Y. & Ryu, Doojin & Song, Jeongseok, 2017. "The dynamic conditional relationship between stock market returns and implied volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 638-648.
    23. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Effects of the US stock market return and volatility on the VKOSPI," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-34.
    24. Wonho Song & Doojin Ryu & Robert I. Webb, 2018. "Volatility dynamics under an endogenous Markov-switching framework: a cross-market approach," Quantitative Finance, Taylor & Francis Journals, vol. 18(9), pages 1559-1571, September.
    25. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2013. "Dynamic co-movements of stock market returns, implied volatility and policy uncertainty," Economics Letters, Elsevier, vol. 120(1), pages 87-92.
    26. Kearney, Colm & Lucey, Brian M., 2004. "International equity market integration: Theory, evidence and implications," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 571-583.
    27. 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.
    28. Cha, Baekin & Oh, Sekyung, 2000. "The relationship between developed equity markets and the Pacific Basin's emerging equity markets," International Review of Economics & Finance, Elsevier, vol. 9(4), pages 299-322, October.
    29. William Schwert, G., 1989. "Business cycles, financial crises, and stock volatility : Reply to Shiller," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 31(1), pages 133-137, January.
    30. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    31. Guha, Debashis & Hiris, Lorene, 2002. "The aggregate credit spread and the business cycle," International Review of Financial Analysis, Elsevier, vol. 11(2), pages 219-227.
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    Cited by:

    1. Jieun Lee & Doojin Ryu, 2019. "The impacts of public news announcements on intraday implied volatility dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(6), pages 656-685, June.
    2. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019. "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 156-166.
    3. Sang Ik Seok & Hoon Cho & Chanhi Park & Doojin Ryu, 2019. "Do Overnight Returns Truly Measure Firm-Specific Investor Sentiment in the KOSPI Market?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    4. Dohyun CHUN & Hoon CHO & Doojin RYU, 2018. "Macroeconomic Structural Changes in a Leading Emerging Market: The Effects of the Asian Financial Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-42, December.
    5. Lee, Jaeram & Lee, Geul & Ryu, Doojin, 2018. "Difference in the intraday return-volume relationships of spots and futures: A quantile regression approach," Economics Discussion Papers 2018-68, Kiel Institute for the World Economy (IfW Kiel).
    6. Biao Guo & Qian Han & Jufang Liang & Doojin Ryu & Jinyoung Yu, 2020. "Sovereign Credit Spread Spillovers in Asia," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    7. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2020. "Economic indicators and stock market volatility in an emerging economy," Economic Systems, Elsevier, vol. 44(2).
    8. Jung Park, Yuen & Kutan, Ali M. & Ryu, Doojin, 2019. "The impacts of overseas market shocks on the CDS-option basis," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 622-636.
    9. Daehyeon PARK & Doojin RYU, 2021. "Forecasting Stock Market Dynamics using Bidirectional Long Short-Term Memory," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-34, June.
    10. Anas Eisa Abdelkreem Mohammed & Henry Mwambi & Bernard Omolo, 2024. "Time-Varying Correlations between JSE.JO Stock Market and Its Partners Using Symmetric and Asymmetric Dynamic Conditional Correlation Models," Stats, MDPI, vol. 7(3), pages 1-16, July.
    11. Lee, Jieun & Ryu, Doojin, 2019. "How does FX liquidity affect the relationship between foreign ownership and stock liquidity?," Emerging Markets Review, Elsevier, vol. 39(C), pages 101-119.
    12. Daehyeon Park & Jiyeon Park & Doojin Ryu, 2020. "Volatility Spillovers between Equity and Green Bond Markets," Sustainability, MDPI, vol. 12(9), pages 1-12, May.

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    More about this item

    Keywords

    Financial market; Global financial crisis; Information spillover; Macroeconomic variables; Overseas shock; VAR-DCC-MGARCH;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G19 - Financial Economics - - General Financial Markets - - - Other

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