Pinshi, Christian P. (2020): Monetary policy, uncertainty and COVID-19.
Preview |
PDF
MPRA_paper_100836.pdf Download (414kB) | Preview |
Abstract
The COVID-19 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-19 uncertainty shock on the economy and monetary policy response. This analysis shows important conclusions. The uncertainty effect of COVID-19 hits unprecedented aggregate demand and the economy. In addition, it undermines monetary policy action 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.
Item Type: | MPRA Paper |
---|---|
Original Title: | Monetary policy, uncertainty and COVID-19 |
Language: | English |
Keywords: | Monetary policy, Uncertainty, COVID-19, Bayesian VAR |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E51 - Money Supply ; Credit ; Money Multipliers E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies |
Item ID: | 100836 |
Depositing User: | Researcher Christian Pinshi |
Date Deposited: | 05 Jun 2020 10:40 |
Last Modified: | 05 Jun 2020 10:40 |
References: | Aastveity, K., A., Natvikz, G., J., and Sola, S. 2013. Economic Uncertainty and the effectiveness of monetary Policy. Working Paper 17, Norges Bank Research, june. Ahir, H., Bloom, N., and Furceri, D. 2018. The world uncertainty index. October. Ahir, H., Bloom, N., and Furceri, D. 2020. Global uncertainty related to Coronavirus at Record High. IMF Blog, april. Bagus, P., and Howden, D. 2016. Central bank balance sheet Analysis. MPRA Paper no. 79801, june. Baker, S. R., Bloom, N., and Davis, S., J. 2013. Measuring economic policy uncertainty. Working paper n0.83, Chicago Booth Research Paper No. 13-02, january. Baker, S. R., Bloom, N., and Davis, S., J. 2016. Measuring economic policy uncertainty. March. Baker, S. Bloom, N., Davis, S., J., and Terry, S., J. 2020. COVID-Induced economic uncertainty. April. Bańbura, M., Giannone, D., and Reichlin, L. 2010. Large Bayesian vector auto regressions. Journal of Applied Econometrics, vol. 25, pages 71-92, January. Bank for International Settlements (BIS), 2019. Large central bank balance sheets and market functioning. Markets Committee, October. Bekaert, G., Hoerova, M., and Lo Duca, M. 2010. Risk, uncertainty and monetary policy. NBER Working paper 16397, september. Berger, H., Kang, K., and Rhee, C. 2020. Atténuation des effets et choix délicats : premiers enseignements tirés de la situation en Chine. IMF Blog, march. Bernanke, B., S. 1980 Irreversibility, uncertainty, and cyclical investment. NBER working paper series no. 502, july. Bloom, N. 2009. The impact of uncertainty shocks. Econometrica , vol. 77, no. 3, 623–685, may. Brainard, W., C. 1967. Uncertainty and the Effectiveness of Policy. The American Economic Review, vol. 57, no. 2, pp. 411-425, may. Brock, W., A., Durlauf, S., N., and West, K., D. 2003. Policy evaluation in uncertain economic environments. Brookings Papers on Economic Activity no. 1 Caggiano, G., Castelnuovo, E., and Nodari, G. 2017. Uncertainty and Monetary Policy in Good and Bad Times. Bank of Finland Research Discussion Paper 8, march. Carare, A., and Popescu, A. 2011. Monetary policy and risk-premium shocks in Hungary : results from a large Bayesian VAR. IMF Working Paper WP/11/259, november. Cochrane, J., H. 2020. Coronavirus monetary policy. Economics in the time of COVID-19. Centre for Economic Policy Research. Courtney, H., Kirkland, J., and Viguerie, P. 2000. Quelle stratégie dans un environnement incertain ? Les stratégies de l’incertain, Harvard Business Review, éditions d’organisation. D’Arvisenet, P. 2014. Les politiques monétaires dans la tempête. First ed., Economica, Paris. Doan, T., Litterman, R., and Sims, C. A. 1984. Forecasting and Conditional Projection Using Realistic Prior Distributions. Econometric Reviews, vol. 3, no.1, january. Drumetz, F., Pfister, C., and Sahuc, J. 2015. Politique monétaire. 2e ed., Deboeck, Bruxelles. Goodfriend, M. 2014. Lessons from a Century of Fed Policy : Why Monetary and Credit Policies Need Rules and Boundaries. Frameworks for Central Banking in the Next Century” A Policy Conference, may. Gopinath, G. 2020. Limiting the economic fallout of the coronavirus with large targeted policies. Mitigating the COVID Economic Crisis : Act Fast and Do Whatever It Takes, Centre for Economic Policy Research (CEPR). Greenspan, A. 2004. Risk and uncertainty in monetary policy. Innovations and issues in monetary policy: the last fifteen years. Aea papers and proceedings, may. Izu, A., M. 2016. Volatilité des cours des produits miniers et vulnérabilité de l’économie : est-ce que la croissance économique va s’essouffler en RDC ? MPRA Paper no. 74751, july. Kibala, J., K. 2020. Prévision de la propagation de la pandémie COVID-19 dans le monde. Hall, march. Kenny, G., Meyler, A., and Quinn, T. 1998. Bayesian VAR models for forecasting Irish inflation. MPRA Paper no. 11360, december. Koop, G. 2003. Bayesian Econometrics. John Wiley & Sons, Chichester. Koop, G., and Korobilis, D. 2010. Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics Vol.3, no.4 DOI: 10.1561/0800000013. Kovanen, A. 2020. Fighting the unknown – An essay about the challenges in responding to the coronavirus epidemic, march. Leduc, S., and Liu, Z. 2020. The Uncertainty Channel of the Coronavirus. Research from Federal Reserve Bank of San Francisco. March. Litterman, R. 1986. Forecasting with Bayesian Vector Autoregressions – Five years of experience. Journal of Business and Economic Statistics, vol.4. no.1, january. Liu, S. 2020. The Butterfly Effect : Coronavirus may Redefine the Global Currency Landscape. Harvard Kennedy School. Ntungila, F., and Pinshi, C., P. 2019. Fluctuations de prix des matières premières et économie congolaise : manne d’espoir ou de malédiction. MPRA Paper no. 95409, august. Odendahl, F., Penalver, A., and Szczerbowicz, U. 2020. L’action des banques centrales pour aider l’économie à survivre au Covid-19. Banque de France, Bloc-note Éco – billet n° 157, april. Ozili, P., and Arun, T. 2020. Spillover of COVID-19 : impact on the Global Economy. Researchgate, march. Ozili, P. 2020. Covid-19 pandemic and economic crisis : The Nigerian experience and structural causes. https://ssrn.com/abstract=3571085, april. Pinshi, C., P., and Sungani, E. 2018. The relevance of pass-through effect : should we revisit monetary policy regime? International Journal of Economics, Business and Management Research, february. Pinshi, C., P. 2018. Les effets macroéconomiques de la chute des cours de produits de base : Evaluation sur la République démocratique du Congo”. International Journal of Innovation and Applied Studies, vol. 24, no. 1, august. Pinshi, C., P. 2020. Monetary policy in DR. Congo : Learning about communication and expectations. MPRA Paper no. 100262, may. Portal, T., and Roux-Dufort, C. 2013. Prévenir les crises. First ed., Armand colin, Paris. Primiceri, G., E. 2005. Time Varying Structural Vector Autoregressions and Monetary Policy. The Review of Economic Studies, vol 72, issue 3, Pages 821–852, https://doi.org/10.1111/j.1467-937X.2005.00353.x, july. Sims, C., A., and Zha, T. 1998. Bayesian Methods for Dynamic Multivariate Models’ International Economic Review, vol. 39, no.4, 949-968. Smaghi, L., B. 2016. Les banques centrales dans la crise. Le nouveau rôle des banques centrales. Problèmes économiques n°3126, february. Spulbăr, C., Niţoi, M., and Stanciu, C. 2011. Monetary policy analysis in Romania : A Bayesian VAR approach. African Journal of Business Management, Vol.6 (36), DOI: 10.5897/AJBM11.1150, september. Svensson, L., E., O., and Williams, N. 2005. Monetary policy with model uncertainty : Distribution forecast targeting. Working Paper 11733, http://www.nber.org/papers/w11733, november. Thiessen, G. 2015. L’incertitude et la transmission de la politique monétaire au Canada. Conférence HERMES-Glendon, march. Thomas, P.H. 2016. Banquiers centraux ou…apprentis sorciers ? Le nouveau rôle des Banques Centrales, Problèmes économiques, n°3126, february. Walsh, C., E. 2003. Implications of a Changing Economic Structure for the Strategy of Monetary Policy. In monetary policy and uncertainty : Adapting to a changing economy, Jackson Hole Symposium, Fédéral Reserve of Kansas City, august. Watanabe, T. 2020. The Responses of Consumption and Prices in Japan to the COVID‐19 Crisis and the Tohoku Earthquake. JSPS Grant‐in‐Aid for Scientific Research (S), Central Bank Communication Design, working paper series no.020, march. Zorn, L., and García, A. 2011. Financial Markets Department Central Bank Collateral Policy : Insights from Recent Experience. Bank of Canada review spring. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/100836 |
Available Versions of this Item
- Monetary policy, uncertainty and COVID-19. (deposited 05 Jun 2020 10:40) [Currently Displayed]