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Does U.S. macroeconomic news make emerging financial markets riskier

Author

Listed:
  • Esin Cakan
  • Nadia Doytch
  • Kamal P. Upadhyaya

Abstract

This study analyzes the impacts of US macroeconomic announcement surprises on the volatility of twelve emerging stock markets by employing asymmetric GJR-GARCH model. The model includes both positive and negative surprises about inflation and unemployment rate announcements in the U.S. We find that volatility shocks are persistent and asymmetric. Asymmetric volatility increases with bad news on US inflation in five out of the twelve countries studied and it increases with a bad news on U.S. unemployment in four out of twelve countries. Asymmetric volatility decreases with good news about US employment situation in eight countries out of twelve countries. Such markets become less risky with an unexpected decrease in unemployment rate in the US. Our findings are important for demonstrating that USA economic growth and employment situation has an impact on many emerging stock markets and that positive US macroeconomic news in fact make many emerging stock markets less volatile.

Suggested Citation

  • Esin Cakan & Nadia Doytch & Kamal P. Upadhyaya, 2015. "Does U.S. macroeconomic news make emerging financial markets riskier," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(1), pages 37-43, March.
    • Handle: RePEc:bor:bistre:v:15:y:2015:i:1:p:37-43
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    Cited by:

    1. Singh, Jitendra & Ahmad, Wasim & Mishra, Anil, 2019. "Coherence, connectedness and dynamic hedging effectiveness between emerging markets equities and commodity index funds," Resources Policy, Elsevier, vol. 61(C), pages 441-460.
    2. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High-Frequency Impact of Monetary Policy and Macroeconomic Surprises on US MSAs and Aggregate US Housing Returns and Volatility: A GJR-GARCH Approach," Working Papers 201817, University of Pretoria, Department of Economics.
    3. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Drivers of Realized Volatility for Emerging Countries with a Focus on South Africa: Fundamentals versus Sentiment," Mathematics, MDPI, vol. 11(6), pages 1-26, March.
    4. Kočenda, Evžen & Moravcová, Michala, 2018. "Intraday effect of news on emerging European forex markets: An event study analysis," Economic Systems, Elsevier, vol. 42(4), pages 597-615.
    5. George-Jason Siouris & Alex Karagrigoriou, 2017. "A Low Price Correction for Improved Volatility Estimation and Forecasting," Risks, MDPI, vol. 5(3), pages 1-14, August.
    6. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2017. "The international REIT’s time-varying response to the U.S. monetary policy and macroeconomic surprises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 640-653.
    7. Andrew Phiri, 2017. "The Unemployment-Stock Market Relationship in South Africa: Evidence from Symmetric and Asymmetric Cointegration Models," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 15(3 (Fall)), pages 231-254.
    8. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    9. Rahmi Erdem Aktug, 2015. "Empirical dynamics of emerging financial markets during the global mortgage crisis," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(1), pages 17-36, March.
    10. Aymen Ben Rejeb & Adel Boughrara, 2015. "Financial integration in emerging market economies: Effects on volatility transmission and contagion," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(3), pages 161-179, September.
    11. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).
    12. Diandian Ma & Benfu Lv & Xuerong Li & Xiuting Li & Shuqin Liu, 2023. "Heterogeneous Impacts of Policy Sentiment with Different Themes on Real Estate Market: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    13. Bonga-Bonga, Lumengo & Mpoha, Salifya, 2024. "Spillover effects from China and the United States to Key Regional Emerging Markets: A dynamic analysis," International Review of Financial Analysis, Elsevier, vol. 91(C).
    14. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    15. Henryk Gurgul & Lukasz Lach & Tomasz Wójtowicz, 2016. "Linear and nonlinear intraday causalities in response to U.S. macroeconomic news announcements: Evidence from Central Europe," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 17(2), pages 217-240.
    16. Thanh, Su Dinh & Canh, Nguyen Phuc & Doytch, Nadia, 2020. "Asymmetric effects of U.S. monetary policy on the U.S. bilateral trade deficit with China: A Markov switching ARDL model approach," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    17. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High Frequency Impact Of Monetary Policy And Macroeconomic Surprises On Us Msas, Aggregate Us Housing Returns And Asymmetric Volatility," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 204-229, December.
    18. Polyzos, Efstathios, 2022. "Examining the asymmetric impact of macroeconomic policy in the UAE: Evidence from quartile impulse responses and machine learning," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).

    More about this item

    Keywords

    Asymmetric GARCH; Emerging markets; Macroeconomic news; Surprises;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

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