Abstract
How does uncertainty originating from the future path taken by monetary policy enacted by the Federal Reserve in the United States affect the business confidence in other advanced economies? Does US monetary policy uncertainty affect economic activity in the United States and in Canada, France, Germany, Italy, Japan, and the United Kingdom. Motivated to answer these questions, we use monthly data and a bivariate GARCH-in-Mean VAR model. We also use a multivariate structural VAR model and a different measure of US monetary policy uncertainty, achieving identification by a combination of short-run and long-run restrictions. Our evidence shows that US monetary policy uncertainty, irrespective of how it is measured, has negative effects on the business confidence and output in the advanced G7 economies.
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Competing interests: We have no conflicts of interest.
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Data availability: Data will be available upon request.
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Research involving human participants and/or animals: The research is not involving human participants and/or animals.
Data sources.
Data description.
Series | Transformation in baseline and alternative models | Description |
---|---|---|
△lninv t | 100 × [ln(inv t ) − ln(inv t−1)] | Business confidence indicator growth rate |
|
|
First difference of U.S. policy rate |
Δi t | i t − i t−1 | First difference of domestic policy rate |
△lny t | 100 × [ln(y t ) − ln(y t−1)] | Industrial production (real output) growth rate |
π t | 100 × [ln(cpi t ) − ln(cpi t−1)] | Inflation rate |
References
Arellano, C., Y. Bai, and P. J. Kehoe. 2019. “Financial Frictions and Fluctuations in Volatility.” Journal of Political Economy 127 (5): 2049–103. https://doi.org/10.1086/701792.Search in Google Scholar
Azad, N. F., and A. Serletis. 2020. “Monetary Policy Spillovers in Emerging Economies.” International Journal of Finance & Economics 25 (4): 664–83. https://doi.org/10.1002/ijfe.1773.Search in Google Scholar
Azad, N. F., and A. Serletis. 2022. “Spillovers of US Monetary Policy Uncertainty on Inflation Targeting Emerging Economies.” Emerging Markets Review 51: 100875. https://doi.org/10.1016/j.ememar.2021.100875.Search in Google Scholar
Baker, S. R., N. Bloom, and S. J. Davis. 2016. “Measuring Economic Policy Uncertainty.” Quarterly Journal of Economics 131 (4): 1593–636. https://doi.org/10.1093/qje/qjw024.Search in Google Scholar
Bernanke, B. S. 1983. “Irreversibility, Uncertainty, and Cyclical Investment.” Quarterly Journal of Economics 98 (1): 85–106. https://doi.org/10.2307/1885568.Search in Google Scholar
Bernanke, B. S., and K. N. Kuttner. 2005. “What Explains the Stock Market’s Reaction to Federal Reserve Policy?” The Journal of Finance 60 (3): 1221–57. https://doi.org/10.17016/feds.2004.16.Search in Google Scholar
Bertola, G., and R. J. Caballero. 1994. “Irreversibility and Aggregate Investment.” The Review of Economic Studies 61 (2): 223–46. https://doi.org/10.2307/2297979.Search in Google Scholar
Bloom, N. 2009. “The Impact of Uncertainty Shocks.” Econometrica 77 (3): 623–85.10.3982/ECTA6248Search in Google Scholar
Bjørnland, H. C., and K. Leitemo. 2009. “Identifying the Interdependence Between U.S. Monetary Policy and the Stock Market.” Journal of Monetary Economics 56 (2): 275–82. https://doi.org/10.1016/j.jmoneco.2008.12.001.Search in Google Scholar
Brennan, M. J. 1990. “Latent Assets.” The Journal of Finance 45 (3): 709–30. https://doi.org/10.2307/2328789.Search in Google Scholar
Caballero, R. J., and R. S. Pindyck. 1996. “Uncertainty, Investment, and Industry Evolution.” International Economic Review 37: 641–62, https://doi.org/10.2307/2527445.Search in Google Scholar
Canova, F. 2005. “The Transmission of US Shocks to Latin America.” Journal of Applied Econometrics 20 (2): 229–51. https://doi.org/10.1002/jae.837.Search in Google Scholar
Christiano, L., M. S. Eichenbaum, and C. L. Evans. 1996. “The Effects of Monetary Policy Shocks: Some Evidence from the Flow of Funds.” The Review of Economics and Statistics 78 (1): 16–34. https://doi.org/10.2307/2109845.Search in Google Scholar
Christiano, L. J., M. Eichenbaum, and C. L. Evans. 1999. “Monetary Policy Shocks: What Have We Learned and to what End?” Handbook of Macroeconomics 1: 65–148.10.1016/S1574-0048(99)01005-8Search in Google Scholar
Christiano, L. J., M. Eichenbaum, and C. L. Evans. 2005. “Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy.” Journal of Political Economy 113 (1): 1–45. https://doi.org/10.1086/426038.Search in Google Scholar
Christiano, L. J., R. Motto, and M. Rostagno. 2014. “Risk Shocks.” The American Economic Review 104 (1): 27–65. https://doi.org/10.1257/aer.104.1.27.Search in Google Scholar
Debata, B., S. R. Dash, and J. Mahakud. 2018. “Investor Sentiment and Emerging Stock Market Liquidity.” Finance Research Letters 26: 15–31. https://doi.org/10.1016/j.frl.2017.11.006.Search in Google Scholar
Dickey, D. A., and W. A. Fuller. 1981. “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.” Econometrica: 1057–72. https://doi.org/10.2307/1912517.Search in Google Scholar
Doan, T. 2004. “Rats Manual, version 6.” Estima Evanston.Search in Google Scholar
Elder, J. 2004. “Another Perspective on the Effects of Inflation Uncertainty.” Journal of Money, Credit, and Banking 36: 911–28. https://doi.org/10.1353/mcb.2004.0073.Search in Google Scholar
Elder, J., and A. Serletis. 2010. “Oil Price Uncertainty.” Journal of Money, Credit, and Banking 42 (6): 1137–59. https://doi.org/10.1111/j.1538-4616.2010.00323.x.Search in Google Scholar
Fernandez-Villaverde, J., P. Guerrón-Quintana, K. Kuester, and J. Rubio-Ramirez. 2015. “Fiscal Volatility Shocks and Economic Activity.” The American Economic Review 105 (11): 3352–84. https://doi.org/10.1257/aer.20121236.Search in Google Scholar
Georgiadis, G. 2016. “Determinants of Global Spillovers from US Monetary Policy.” Journal of International Money and Finance 67: 41–61. https://doi.org/10.1016/j.jimonfin.2015.06.010.Search in Google Scholar
Gilchrist, S., J. W. Sim, and E. Zakrajšek. 2014. “Uncertainty, Financial Frictions, and Investment Dynamics.” (No. w20038). National Bureau of Economic Research.10.3386/w20038Search in Google Scholar
Husted, L., J. Rogers, and B. Sun. 2020. “Monetary Policy Uncertainty.” Journal of Monetary Economics 115: 20–36. https://doi.org/10.1016/j.jmoneco.2019.07.009.Search in Google Scholar
Iacoviello, M., and G. Navarro. 2019. “Foreign Effects of Higher US Interest Rates.” Journal of International Money and Finance 95: 232–50. https://doi.org/10.1016/j.jimonfin.2018.06.012.Search in Google Scholar
Ito, T. 2006. “Japanese Monetary Policy: 1998–2005 and beyond.” Monetary Policy in Asia: Approaches and Implementation 31: 105–32.Search in Google Scholar
Ito, T., and A. K. Rose, eds. 2007. Monetary Policy with Very Low Inflation in the Pacific Rim, Vol. 15. University of Chicago Press.10.7208/chicago/9780226379012.001.0001Search in Google Scholar
Jorda, O., M. Schularick, A. M. Taylor, and F. Ward. 2019. “Global Financial Cycles and Risk Premiums.” IMF Economic Review 67 (1): 109–50. https://doi.org/10.1057/s41308-019-00077-1.Search in Google Scholar
Jurado, K., S. C. Ludvigson, and S. Ng. 2015. “Measuring Uncertainty.” The American Economic Review 105: 1177–216. https://doi.org/10.1257/aer.20131193.Search in Google Scholar
Kurov, A. 2010. “Investor Sentiment and the Stock Market’s Reaction to Monetary Policy.” Journal of Banking & Finance 34 (1): 139–49. https://doi.org/10.1016/j.jbankfin.2009.07.010.Search in Google Scholar
Liu, S. 2015. “Investor Sentiment and Stock Market Liquidity.” The Journal of Behavioral Finance 16 (1): 51–67. https://doi.org/10.1080/15427560.2015.1000334.Search in Google Scholar
Maćkowiak, B. 2007. “External Shocks, US Monetary Policy and Macroeconomic Fluctuations in Emerging Markets.” Journal of Monetary Economics 54 (8): 2512–20. https://doi.org/10.1016/j.jmoneco.2007.06.021.Search in Google Scholar
Majd, S., and R. S. Pindyck. 1987. “Time to Build, Option Value, and Investment Decisions.” Journal of Financial Economics 18 (1): 7–27. https://doi.org/10.1016/0304-405x(87)90059-6.Search in Google Scholar
Miranda-Agrippino, S., and H. Rey. 2020. “US Monetary Policy and the Global Financial Cycle.” The Review of Economic Studies 87 (6): 2754–76. https://doi.org/10.1093/restud/rdaa019.Search in Google Scholar
Mumtaz, H., and F. Zanetti. 2013. “The Impact of the Volatility of Monetary Policy Shocks.” Journal of Money, Credit, and Banking 45 (4): 535–58. https://doi.org/10.1111/jmcb.12015.Search in Google Scholar
Nsafoah, D., and A. Serletis. 2019. “International Monetary Policy Spillovers.” Open Economies Review 30: 87–104. https://doi.org/10.1007/s11079-018-9505-0.Search in Google Scholar
Pagan, A. 1984. “Econometric Issues in the Analysis of Regressions with Generated Regressors.” International Economic Review: 221–47. https://doi.org/10.2307/2648877.Search in Google Scholar
Phillips, P. C., and P. Perron. 1988. “Testing for a Unit Root in Time Deries Regression.” Biometrika 75 (2): 335–46. https://doi.org/10.2307/2336182.Search in Google Scholar
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/snde-2023-0108).
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Articles in the same Issue
- Frontmatter
- Interview
- From Model Misspecification to Multidimensional Welfare: A Conversation with Professor Esfandiar Maasoumi
- Research Articles
- A Test for Time-Varying Smooth Transition Conditional Covariance Models in Multivariate Time Series
- Quasi-Maximum Likelihood for Estimating Structural Models
- Monetary Policy Uncertainty in the United States and Investment Sentiment in Advanced Economies
- Inflation: Demand Pull or Cost Push? A Markov Switching Approach
- Divisia Monetary Aggregates for India
- Introducing sspaneltvp: A Code to Estimating State-Space Time-Varying Parameter Models in Panels. An Application to Okun’s Law