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Time-Varying Volatility in Emerging Market Business Cycles

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  • Yuki Murakami

    (Graduate School of Economics, Waseda University)

Abstract

This paper focuses on the time-varying volatility of aggregate fluctuations in emerging markets. Both Latin American and Asian emerging economies experience volatility spikes during financial crises; however, only the latter group exhibits a long-run decline in volatility. Using business cycle data from South Korea, we estimate a small open economy real business cycle model with Markov-switching shock variances. We compare the model fit across alternative specifications of shock volatility structures and investigate the underlying drivers of volatility changes. The results indicate that the data favor the model in which all shock variances switch regimes synchronously. The estimated model captures both the declining trend in volatility over time and temporary volatility spikes during episodes of financial turmoil. It suggests that the long-run decline in volatility is not primarily driven by a reduction in the variance of the interest rate premium shock, though this shock contributes to temporary volatility spikes during crises. The model replicates key business cycle features of emerging markets and highlights that the drivers of aggregate fluctuations depend on the volatility regime.

Suggested Citation

  • Yuki Murakami, 2025. "Time-Varying Volatility in Emerging Market Business Cycles," Working Papers 2514, Waseda University, Faculty of Political Science and Economics.
  • Handle: RePEc:wap:wpaper:2514
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    References listed on IDEAS

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    1. Wataru Miyamoto & Thuy Lan Nguyen, 2017. "Business Cycles In Small Open Economies: Evidence From Panel Data Between 1900 And 2013," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58, pages 1007-1044, August.
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    4. Maih, Junior & Mazelis, Falk & Motto, Roberto & Ristiniemi, Annukka, 2021. "Asymmetric monetary policy rules for the euro area and the US," Journal of Macroeconomics, Elsevier, vol. 70(C).
    5. Andrew Foerster & Juan F. Rubio‐Ramírez & Daniel F. Waggoner & Tao Zha, 2016. "Perturbation methods for Markov‐switching dynamic stochastic general equilibrium models," Quantitative Economics, Econometric Society, vol. 7(2), pages 637-669, July.
    6. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    7. Hwang, Seolwoong & Kim, Soyoung, 2022. "Real business cycles in emerging countries: Are Asian business cycles different from Latin American business cycles?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    8. Wataru Miyamoto & Thuy Lan Nguyen, 2017. "Business Cycles In Small Open Economies: Evidence From Panel Data Between 1900 And 2013," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 1007-1044, August.
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    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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