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COVID-19 uncertainty and monetary policy

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  • Christian Pinshi

    (UNIKIN - University of Kinshasa)

Abstract

The uncertainty of COVID-19 seriously disrupts the Congolese economy through various macroeconomic channels. This pandemic is influencing the management of monetary policy in its role as regulator of aggregate demand and guarantor of macroeconomic stability. We use a Bayesian VAR framework (BVAR) to provide an analysis of the COVID uncertainty shock on the economy and the monetary policy response. The analysis shows important conclusions. The uncertainty effect of COVID-19 hits unprecedented aggregate demand and the economy. In addition, it undermines the action of monetary policy to soften this fall in aggregate demand and curb inflation impacted by the exchange rate effect. We suggest a development of unconventional devices for a gradual recovery of the economy. Jels code: C32, E32, E51, E52, E58

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  • Christian Pinshi, 2020. "COVID-19 uncertainty and monetary policy," Working Papers hal-02566796, HAL.
    • Handle: RePEc:hal:wpaper:hal-02566796
    Note: View the original document on HAL open archive server: https://hal.science/hal-02566796
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    1. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    2. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," MPRA Paper 11360, University Library of Munich, Germany.
    3. Noah Williams & Lars E.O. Svensson, 2005. "Monetary Policy with Model Uncertainty: Distribution Forecast Targeting," Computing in Economics and Finance 2005 108, Society for Computational Economics.
    4. Christian Pfister & Françoise Drumetz & Jean-Guillaume Sahuc, 2015. "Politique Monétaire," Post-Print hal-01612726, HAL.
    5. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    6. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    7. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    8. Liu, Shaoshan, 2020. "the Butterfly Effect: Coronavirus may Redefine the Global Currency Landscape," SocArXiv zus5h, Center for Open Science.
    9. NTUNGILA, Floribert & PINSHI, Christian P., 2019. "Fluctuations de prix des matières premières et économie congolaise : manne d’espoir ou de malédiction ? [Fluctuations in commodity price and the congolese economy: hope or curse manna?]," MPRA Paper 95409, University Library of Munich, Germany.
    10. Christian Pinshi, 2018. "Les effets macroéconomiques de la chute des cours des produits de base: Evaluation sur la République démocratique du Congo," Post-Print hal-02566806, HAL.
    11. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Stephen J. Terry, 2020. "COVID-Induced Economic Uncertainty," NBER Working Papers 26983, National Bureau of Economic Research, Inc.
    12. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    13. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(1), pages 235-322.
    14. Ms. Adina Popescu & Ms. Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary: Results from a Large Bayesian VAR," IMF Working Papers 2011/259, International Monetary Fund.
    15. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    16. Christian Pinshi & Emmanuel Sungani, 2018. "The Relevance Of Pass-Through Effect: Should We Revisit Monetary Policy Regime?," Post-Print hal-02566800, HAL.
    17. Lorie Zorn & Alejandro García, 2011. "Central Bank Collateral Policy: Insights from Recent Experience," Bank of Canada Review, Bank of Canada, vol. 2011(Spring), pages 37-45.
    18. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    19. Bagus, Philipp & Howden, David, 2016. "Central Bank Balance Sheet Analysis," MPRA Paper 79801, University Library of Munich, Germany.
    20. Ozili, Peterson & Arun, Thankom, 2020. "Spillover of COVID-19: Impact on the Global Economy," MPRA Paper 99317, University Library of Munich, Germany.
    21. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    22. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    23. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    24. Goodfriend, Marvin, 2014. "Lessons from a century of FED policy: Why monetary and credit policies need rules and boundaries," Journal of Economic Dynamics and Control, Elsevier, vol. 49(C), pages 112-120.
    25. Alan Greenspan, 2004. "Risk and Uncertainty in Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 33-40, May.
    26. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    27. repec:zbw:bofrdp:2017_008 is not listed on IDEAS
    28. Tsutomu Watanabe, 2020. "The Responses of Consumption and Prices in Japan to the COVID-19 Crisis and the Tohoku Earthquake," Working Papers on Central Bank Communication 020, University of Tokyo, Graduate School of Economics.
    29. Izu, Akhenaton, 2016. "Volatilité des cours des produits miniers et vulnérabilité de l’économie: est-ce que la croissance économique va s’essouffler en RDC? [Volatility of the prices of the mining products and vulnerabil," MPRA Paper 74751, University Library of Munich, Germany, revised 25 Sep 2016.
    30. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    31. Ozili, Peterson K, 2020. "Covid-19 pandemic and economic crisis: The Nigerian experience and structural causes," MPRA Paper 99424, University Library of Munich, Germany.
    32. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
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    Cited by:

    1. Sinem Koçak & Özge Barış-Tüzemen, 2022. "Impact of the COVID-19 on foreign direct investment inflows in emerging economies: evidence from panel quantile regression," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    2. Trung Duc Nguyen & Anh Hoang Le & Eleftherios I. Thalassinos & Lanh Kim Trieu, 2022. "The Impact of the COVID-19 Pandemic on Economic Growth and Monetary Policy: An Analysis from the DSGE Model in Vietnam," Economies, MDPI, vol. 10(7), pages 1-19, July.
    3. Linh Tu Ho & Christopher Gan, 2021. "Foreign Direct Investment and World Pandemic Uncertainty Index: Do Health Pandemics Matter?," JRFM, MDPI, vol. 14(3), pages 1-15, March.
    4. Christian Pinshi, 2020. "Snapshot de l'incidence de l'épidémie de coronavirus en Afrique," Working Papers hal-02916833, HAL.
    5. PINSHI, Christian P., 2020. "Arithmétique du Pass-through de la COVID 19 sur le Système financier Congolais [COVID-19 Pass-through Arithmetic on the Congolese Financial System]," MPRA Paper 101783, University Library of Munich, Germany.
    6. Huan Huu Nguyen & Thanh Phuc Nguyen & Anh Nguyen Tram Tran, 2022. "Impacts of monetary policy transmission on bank performance and risk in the Vietnamese market: Does the Covid-19 pandemic matter?," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2094591-209, December.
    7. Demiessie, Habtamu, 2020. "COVID-19 Pandemic Uncertainty Shock Impact on Macroeconomic Stability in Ethiopia," MPRA Paper 102625, University Library of Munich, Germany, revised 31 Aug 2020.
    8. Ben salem, salha & slama, ines, 2021. "Modeling the impact of Coronavirus uncertainty on bank system vulnerability and monetary policy conduct," MPRA Paper 107391, University Library of Munich, Germany.
    9. Deimantė Teresienė & Greta Keliuotytė-Staniulėnienė & Rasa Kanapickienė, 2021. "Sustainable Economic Growth Support through Credit Transmission Channel and Financial Stability: In the Context of the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(5), pages 1-34, March.
    10. Sadananda Prusty & Anubha & Saurabh Gupta, 2021. "On the Road to Recovery: The Role of Post-Lockdown Stimulus Package," FIIB Business Review, , vol. 11(2), pages 206-224, June.
    11. PINSHI, Christian P., 2022. "A Note on the Natural Rate of Dollarization: Mathematical Approximation of Limits," MPRA Paper 111671, University Library of Munich, Germany.
    12. PINSHI, Christian P., 2023. "Claims, Deposits and Financial Conditions in DR Congo: Impact of COVID-19 on the Financial System," MPRA Paper 117381, University Library of Munich, Germany.

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    More about this item

    Keywords

    Uncertainty; COVID-19; Monetary policy; Bayesian VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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