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Measuring the Impact of Monetary Policy Attention on Global Asset Volatility Using Search Data

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  • Paul Wohlfarth

    (Birkbeck, University of London)

Abstract

We study monetary policy introducing a novel measure for policy attention based on Google Trends data. We apply the obtained indices to fixed income data for the US and the Eurozone in a specification motivated by a preferred-habitat model to test for monetary policy transmission domestically and internationally. Our findings suggest an impact of monetary policy on variance processes only and provides evidence for an international channel of monetary transmission on both money and capital markets. This is, to our knowledge, the first attempt to use search-engine data in the context of monetary policy.

Suggested Citation

  • Paul Wohlfarth, 2018. "Measuring the Impact of Monetary Policy Attention on Global Asset Volatility Using Search Data," Birkbeck Working Papers in Economics and Finance 1803, Birkbeck, Department of Economics, Mathematics & Statistics.
    • Handle: RePEc:bbk:bbkefp:1803
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    File URL: https://eprints.bbk.ac.uk/id/eprint/26852
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    Cited by:

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    3. Xiafei Li & Yu Wei & Xiaodan Chen & Feng Ma & Chao Liang & Wang Chen, 2022. "Which uncertainty is powerful to forecast crude oil market volatility? New evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4279-4297, October.
    4. Hakan Yilmazkuday, 2020. "Unequal unemployment effects of COVID-19 and monetary policy across U.S. States," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S3), pages 45-53, December.
    5. Guidolin, Massimo & Pedio, Manuela, 2021. "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," Finance Research Letters, Elsevier, vol. 42(C).
    6. Ahundjanov, Behzod B. & Akhundjanov, Sherzod B. & Okhunjanov, Botir B., 2021. "Risk perception and oil and gasoline markets under COVID-19," Journal of Economics and Business, Elsevier, vol. 115(C).
    7. Luis Alberto Delgado-de-la-Garza & Gonzalo Adolfo Garza-Rodríguez & Daniel Alejandro Jacques-Osuna & Alejandro Múgica-Lara & Carlos Alberto Carrasco, 2021. "Does the use of a big data variable improve monetary policy estimates? Evidence from Mexico," Economics and Business Letters, Oviedo University Press, vol. 10(4), pages 383-393.

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    More about this item

    Keywords

    attention; internet search; Google; monetary policy; ECB; FED; international financial markets; macro-finance; sovereign bonds; international finance; bond markets; preferred habitat models.;
    All these keywords.

    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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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