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Quantitative Easing and Tapering Uncertainty: Evidence from Twitter

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  • Tillmann, Peter
  • Meinusch, Annette

Abstract

In this paper we analyze the effects of changes in peoples' beliefs about the timing of the exit from Quantitative Easing ("tapering") on asset prices. To quantify beliefs of market participants, we use data from Twitter, the social media application, covering the entire Twitter volume on Federal Reserve tapering in 2013. Based on the time series of beliefs about an early or late tapering, we estimate a VAR model with appropriate sign restrictions on the impulse responses to identify a belief shock. The results show that shocks to tapering beliefs have strong and robust effects on interest rates, exchange rates and asset prices. We also derive measures of monetary policy uncertainty and disagreement of beliefs, respectively, and estimate their impact. The paper is the first to use social media data for

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  • Tillmann, Peter & Meinusch, Annette, 2015. "Quantitative Easing and Tapering Uncertainty: Evidence from Twitter," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112906, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc15:112906
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    1. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    2. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    3. K. Istrefi & A. Piloiu, 2016. "Economic policy uncertainty and inflation expectations," Rue de la Banque, Banque de France, issue 33, november..
    4. Matheson, Troy & Stavrev, Emil, 2014. "News and monetary shocks at a high frequency: A simple approach," Economics Letters, Elsevier, vol. 125(2), pages 282-286.
    5. Fernanda Nechio, 2014. "Fed tapering news and emerging markets," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    6. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    7. Tatjana Dahlhaus & Garima Vasishtha, 2014. "The Impact of U.S. Monetary Policy Normalization on Capital Flows to Emerging-Market Economies," Staff Working Papers 14-53, Bank of Canada.
    8. Ratna Sahay & Vivek B. Arora & Athanasios V Arvanitis & Hamid Faruqee & Papa M N'Diaye & Tommaso Mancini Griffoli, 2014. "Emerging Market Volatility; Lessons from The Taper Tantrum," IMF Staff Discussion Notes 14/9, International Monetary Fund.
    9. Joshua Aizenman & Mahir Binici & Michael M. Hutchison, 2016. "The Transmission of Federal Reserve Tapering News to Emerging Financial Markets," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 317-356, June.
    10. Gert Peersman, 2012. "Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound," 2012 Meeting Papers 400, Society for Economic Dynamics.
    11. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    12. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2014. "Evaluating Asset-Market Effects of Unconventional Monetary Policy: A Cross-Country Comparison," International Finance Discussion Papers 1101, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. PANAGIOTIS Anastasiadis & EFTHIMIOS Katsaros & ANASTASIOS-TAXIARCHIS KOUTSIOUKIS, 2020. "Performance-Risk Nexus Of Global Low-Rated Etfs During The Qe-Tapering Period," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(1), pages 194-211, April.
    2. Jochen Lüdering & Peter Tillmann, 2016. "Monetary Policy on Twitter and its Effect on Asset Prices: Evidence from Computational Text Analysis," MAGKS Papers on Economics 201612, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Ehrmann, Michael & Wabitsch, Alena, 2022. "Central bank communication with non-experts – A road to nowhere?," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 69-85.
    4. Lin, Jianhao & Mei, Ziwei & Chen, Liangyuan & Zhu, Chuanqi, 2023. "Is the People's Bank of China consistent in words and deeds?," China Economic Review, Elsevier, vol. 78(C).
    5. CĂLIN, Adrian Cantemir, 2015. "The Effects Of The Federal Reserve’S Tapering Announcements On The Us Real Estate Market," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(3), pages 79-90.
    6. Alexander Jung & Patrick Kuehl, 2021. "Can central bank communication help to stabilise inflation expectations?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 298-321, July.
    7. Young Joon Lee & Soohyon Kim & Ki Young Park, 2019. "Deciphering Monetary Policy Board Minutes with Text Mining: The Case of South Korea," Korean Economic Review, Korean Economic Association, vol. 35, pages 471-511.
    8. Yılmaz, Emrah Sıtkı & Ozpolat, Aslı & Destek, Mehmet Akif, 2022. "Do Twitter Sentiments Really Effective on Energy Stocks? Evidence from Intercompany Dependency," MPRA Paper 114155, University Library of Munich, Germany.
    9. Michael Stiefel & Rémi Vivès, 2019. "'Whatever it Takes' to Change Belief: Evidence from Twitter," Working Papers halshs-02053429, HAL.
    10. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
    11. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021. "Monetary policy and financial markets: evidence from Twitter traffic," BAFFI CAREFIN Working Papers 21160, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    12. Michael Stiefel & Rémi Vivès, 2022. "‘Whatever it takes’ to change belief: evidence from Twitter," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 715-747, August.
    13. Travis Adams & Andrea Ajello & Diego Silva & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Papers 2305.16164, arXiv.org.
    14. Donato Masciandaro & Oana Peia & Davide Romelli, 2022. "Central Bank Communication and Social Media: From Silence to Twitter," BAFFI CAREFIN Working Papers 22187, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    15. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    16. Youngjoon Lee & Soohyon Kim & Ki Young Park, 2018. "Deciphering Monetary Policy Committee Minutes with Text Mining Approach: A Case of South Korea," Working papers 2018rwp-132, Yonsei University, Yonsei Economics Research Institute.
    17. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    18. Andrea Ajello & Diego Silva & Travis Adams & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Finance and Economics Discussion Series 2023-034, Board of Governors of the Federal Reserve System (U.S.).
    19. Lucian Liviu ALBU & Radu LUPU & Adrian Cantemir CĂLIN, 2016. "Quantitative Easing, Tapering And Stock Market Indices," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 5-23.
    20. Lüdering, Jochen & Tillmann, Peter, 2020. "Monetary policy on twitter and asset prices: Evidence from computational text analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    21. Annette Meinusch, 2017. "When the Fed sneezes - Spillovers from U.S. Monetary Policy to Emerging Markets," MAGKS Papers on Economics 201730, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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