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Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China

Research Article

The Heterogeneous Impacts of US’ Monetary Policy Adjustment on Emerging Markets

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  • @INPROCEEDINGS{10.4108/eai.18-11-2022.2326881,
        author={Chi  Gong and Xiaoye  Lu and Lu  Zhang},
        title={The Heterogeneous Impacts of US’ Monetary Policy Adjustment on Emerging Markets},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2023},
        month={2},
        keywords={monetary policy adjustment heterogeneous impacts trade flow capital flow},
        doi={10.4108/eai.18-11-2022.2326881}
    }
    
  • Chi Gong
    Xiaoye Lu
    Lu Zhang
    Year: 2023
    The Heterogeneous Impacts of US’ Monetary Policy Adjustment on Emerging Markets
    ICEMME
    EAI
    DOI: 10.4108/eai.18-11-2022.2326881
Chi Gong1,*, Xiaoye Lu1, Lu Zhang2
  • 1: Department of Global Business, Kyonggi University
  • 2: School of Economics, Sichuan University
*Contact email: gongchi81@hotmail.com

Abstract

In this paper, we examine the impacts of the changes in the monetary policy of US on trade, capital flow, and economy of emerging markets. We find that the impacts vary across the emerging markets in three different regions: Central-East Europe, Latin America, and East Asia. Based on an empirical investigation using Panel-VAR analysis, we reveal that the degree of capital control by emerging markets is a key factor affecting the impacts. Although less capital control will lead to higher volatility on the capital flow of an economy, it may reduce its macro risks. Moreover, we find that the differences in trade openness and the trade structure have little effect on the impacts.

Keywords
monetary policy adjustment heterogeneous impacts trade flow capital flow
Published
2023-02-15
Publisher
EAI
http://dx.doi.org/10.4108/eai.18-11-2022.2326881
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