Ostapenko, Nataliia (2020): Central Bank Communication: Information and Policy shocks.
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Abstract
The study proposes a novel way to identify the effects of monetary policy shocks taking into account time-varying signals of the central bank. I augment the standard monetary policy Bayesian Vector Autoregression (BVAR) with additional information variables from Fed statements, which allows studying the information-free effects of monetary policy shocks and to take into account forward-looking information released by the central bank. The results show that, compared to surprises in 3-month federal funds futures, the policy shock identified in this study has a more negative effect on GDP, a more prolonged negative effect on inflation, and a greater impact effect on the excess bond premium. In the short-run it causes S&P500 to decline and the Fed to raise its interest rate. Furthermore, the results of large-scale Bayesian VAR confirm the standard transmission channels of monetary policy.
Item Type: | MPRA Paper |
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Original Title: | Central Bank Communication: Information and Policy shocks |
English Title: | Central Bank Communication: Information and Policy shocks |
Language: | English |
Keywords: | monetary policy, shock, transmission, statements, Latent Dirichlet Allocation, information |
Subjects: | E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy |
Item ID: | 104604 |
Depositing User: | Nataliia Ostapenko |
Date Deposited: | 13 Dec 2020 20:55 |
Last Modified: | 13 Dec 2020 20:55 |
References: | Banbura, M., Giannone, D. & Reichlin, L. (2010), ‘Large Bayesian vector auto regressions’, Journal of Applied Econometrics 25(1), 71–92. Bauer, M. D. & Swanson, E. T. (2020), ‘The Fed’s Response to Economic News Explains the ”Fed Information Effect”’, Federal Reserve Bank of San Francisco Working Paper. Beckers, B. (2020), ‘Credit Spreads, Monetary Policy and the Price Puzzle’, Research Discussion Paper Economic Research Department Reserve Bank of Australia (2020-01). Bernanke, B. S. & Gertler, M. (1995), ‘Inside the Black Box: The Credit Channel of Monetary Policy Transmission’, Journal of Economic Perspectives 9(4), 27–48. Blei, D. M., Ng, A. Y. & Jordan, M. I. (2003), ‘Latent Dirichlet Allocation’, Journal of Machine Learning Research 3, 993–1022. Bu, C., Rogers, J. & Wu, W. (2020), ‘Forward-Looking Monetary Policy and the Transmission of Conventional Monetary Policy Shocks’, Finance and Economics Discussion Series 2020-014. Washington: Board of Governors of the Federal Reserve System (2020-014). Campbell, J., Evans, C., Fisher, J. & Justiniano, A. (2012), ‘Macroeconomic Effects of Fed- eral Reserve Forward Guidance’, Brookings Papers on Economic Activity 43(1), 1– 80. Darling, W. M. (2011), ‘A Theoretical and Practical Implementation Tutorial on Topic Modeling and Gibbs Sampling’, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies pp. 642–647. Durante, E., Ferrando, A. & Vermeulen, P. (2020), ‘Monetary policy, investment and firm heterogeneity’, ECB Working Paper Series (2390). Federal Open Market Committee: Transcripts and other historical materials (2019). URL: https://www.federalreserve.gov/monetarypolicy/fomc historical.htm Federal Reserve Economic Data (2019). URL: https://fred.stlouisfed.org Gertler, M. & Karadi, P. (2015), ‘Monetary Policy Surprises, Credit Costs, and Economic Activity’, American Economic Journal: Macroeconomics 7(1), 44–76. Greenbook Historical and Forecast Data (2019). URL: https://www.philadelphiafed.org/research-and-data/real-time- center/greenbook-data/philadelphia-data-set Griffiths, T. & Steyvers, M. (2004), ‘Finding scientific topics’, Proceedings of the National Academy of Sciences 101(1), 5228–5235. Gurkaynak, R. S., Kısacikoglu, B. & Wright, J. H. (2020), ‘Missing Events in Event Studies: Identifying the Effects of Partially Measured News Surprises’, The American Economic Review 110(12), 3871–3912. Gurkaynak, R. S., Sack, B. & Swanson, E. T. (2005), ‘Do actions speak louder than words? the response of asset prices to monetary policy actions and statements’, International Journal of Central Banking 1(1), 55–93. Gurkaynak, R. S., Sack, B. & Wright, J. H. (2007), ‘The U.S. Treasury yield curve: 1961 to the present’, Journal of Monetary Economics 54(8), 2291–2304. Gurkaynak, R. S., Sack, B. & Wright, J. H. (2010), ‘The TIPS Yield Curve and Inflation Compensation’, American Economic Journal: Macroeconomics 2(1), 70–92. Hansen, S. & McMahon, M. (2016), ‘Shocking language: understanding the macroeconomic effects of central bank communication’, CAMA Working Paper (4/2016). Hansen, S., McMahon, M. & Tong, M. (2019), ‘The long-run information effect of central bank communication’, Journal of Monetary Economics 108, 185–202. Hanson, S. G. & Stein, J. C. (2015), ‘Monetary policy and long-term real rates’, Journal of Financial Economics 115(3), 429–448. Hubert, P. (2019), ‘State-Dependent Effects of Monetary Policy: the Central Bank Infor- mation Channel’, Sciences Po OFCE Working Paper (04/2019). Hubert, P. & Labondance, F. (2017), ‘Central bank sentiment and policy expectations’, Bank of England Staff Working Paper (648). Iglesias, J., Ortiz, A. & Rodrigo, T. (2017), ‘How do the Central Banks talk?: A Big Data approach to Turkey’, BBVA Bank, Economic Research Department Working Papers (17/24). Jarocinski, M. & Karadi, P. (2020), ‘Deconstructing monetary policy surprises: the role of information shocks’, American Economic Journal: Macroeconomics 12(2), 1–43. Koop, G. & Korobilis, D. (2010), ‘Bayesian Multivariate Time Series Methods for Empirical Macroeconomics’, Foundations and Trends in Econometrics 3(4), 267–358. Larsen, V. & Thorsrud, L. (2019), ‘The Value of News for economic developments’, Journal of Econometrics 210(1), 203–218. Leeper, E., Walker, T. & Yang, S.-C. (2013), ‘Fiscal foresight and information flows’, Econo- metrica 81(3), 1115–1145. Loughran, T. & Mcdonald, B. (2016), ‘Textual Analysis in Accounting and Finance: A Survey’, Journal of Accounting Research 54(4), 1187–1230. McCracken, M. W. & Ng, S. (2015), ‘FRED-MD: A Monthly Database for Macroeconomic Research’, Federal Reserve Bank of St. Louis Working Paper (2015-012B). Michael D. Bauer and Eric T. Swanson (2020), ‘The Fed’s Response to Economic News Explains the ”Fed Information Effect”’, NBER Working Paper (27013). Miranda-Agrippino, S. & Ricco, G. (forthcoming), ‘The Transmission of Monetary Policy shocks’, American Economic Journal: Macroeconomics. Noh, E. (2018), ‘Impulse-response analysis with proxy variables’, unpublished. Park, T. & Casella, G. (2008), ‘The Bayesian Lasso’, Journal of the American Statistical Association 103(482), 681–686. Plagborg-Mollerand, M. & Wolf, C. (2019), ‘Local Projections and VARs Estimate the Same Impulse Responses’, Working paper: Department of Economics, Princeton University. Ramey, V. (2016), ‘Macroeconomic shocks and their propagation’, Handbook of macroeco- nomics 2, 71–162. Romer, C. D. & Romer, D. H. (2000), ‘Federal Reserve Information and the Behavior of Interest Rates’, The American Economic Review 90(3), 429–457. Romer, C. D. & Romer, D. H. (2004), ‘A New Measure of Monetary Shocks: Derivation and Implications’, The American Economic Review 94(4), 1055–1084. Shapiro, A. H., Sudhof, M. & Wilson, D. (2017), ‘Measuring News Sentiment’, Federal Reserve Bank of San Francisco Working Paper Series Working Paper (2017-01). Sims, C. A. (2003), ‘Implications of rational inattention’, Journal of Monetary Economics 50(3), 665–690. Steinsson, E. N. J. (2019), ‘Hight Frequency Identification of Money Non-Neutrality: the Information effect’, NBER Working Paper (19260). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/104604 |
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Central Bank Communication: Information and Policy shocks. (deposited 29 Jun 2020 09:48)
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