IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipcs1544612323008863.html
   My bibliography  Save this article

Classification of RBA monetary policy announcements using ChatGPT

Author

Listed:
  • Smales, Lee A.

Abstract

ChatGPT is a tool that has gained much attention and has accelerated the adoption of Artificial Intelligence across many applications. Using monetary policy decisions made by the Reserve Bank of Australia (RBA), we test whether ChatGPT's classifications of monetary policy announcements are consistent with market-observed characteristics, whether this has changed with the update from GPT-3.5 to GPT-4, and whether this provides additional informativeness for changes in the yield implied by interest rate futures. Our results indicate that, regardless of statement readability, ChatGPT provides a classification of hawkish / dovish tone that is consistent with “Target Surprises” and “Path Surprises” and although it seems to improve in the latest version has more difficulty with “sentiment” classification. However, this information does not appear to help to explain changes in interest rate markets on the day of the policy announcement.

Suggested Citation

  • Smales, Lee A., 2023. "Classification of RBA monetary policy announcements using ChatGPT," Finance Research Letters, Elsevier, vol. 58(PC).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323008863
    DOI: 10.1016/j.frl.2023.104514
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323008863
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104514?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
    2. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    3. Scott Joslin & Marcel Priebsch & Kenneth J. Singleton, 2014. "Risk Premiums in Dynamic Term Structure Models with Unspanned Macro Risks," Journal of Finance, American Finance Association, vol. 69(3), pages 1197-1233, June.
    4. Rosa, Carlo, 2016. "Walking on thin ice: Market quality around FOMC announcements," Economics Letters, Elsevier, vol. 138(C), pages 5-8.
    5. Markus Leippold, 2023. "Sentiment Spin: Attacking Financial Sentiment with GPT-3," Swiss Finance Institute Research Paper Series 23-11, Swiss Finance Institute.
    6. Alexandra Brown & Sigitas Karpavičius, 2017. "The Reaction of the Australian Stock Market to Monetary Policy Announcements from the Reserve Bank of Australia," The Economic Record, The Economic Society of Australia, vol. 93(300), pages 20-41, March.
    7. Andrei A. Kirilenko & Andrew W. Lo, 2013. "Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 51-72, Spring.
    8. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    9. Hausman, Joshua & Wongswan, Jon, 2011. "Global asset prices and FOMC announcements," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 547-571, April.
    10. Gu, Chen & Kurov, Alexander & Stan, Raluca, 2023. "Monetary policy and uncertainty resolution in commodity markets," Finance Research Letters, Elsevier, vol. 55(PA).
    11. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    12. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    13. repec:pri:cepsud:161blinder is not listed on IDEAS
    14. Michael Ehrmann & Marcel Fratzscher, 2007. "Communication by Central Bank Committee Members: Different Strategies, Same Effectiveness?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 509-541, March.
    15. Leippold, Markus, 2023. "Sentiment spin: Attacking financial sentiment with GPT-3," Finance Research Letters, Elsevier, vol. 55(PB).
    16. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    17. Leippold, Markus, 2023. "Thus spoke GPT-3: Interviewing a large-language model on climate finance," Finance Research Letters, Elsevier, vol. 53(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pelster, Matthias & Val, Joel, 2024. "Can ChatGPT assist in picking stocks?," Finance Research Letters, Elsevier, vol. 59(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kurov, Alexander, 2012. "What determines the stock market's reaction to monetary policy statements?," Review of Financial Economics, Elsevier, vol. 21(4), pages 175-187.
    2. Paul Hubert & Fabien Labondance, 2016. "Central Bank Sentiment and Policy Expectations," SciencePo Working papers Main hal-03459227, HAL.
    3. Stylianos X. Koufadakis, 2015. "Asymmetries on Closed End Country Funds Premium and Monetary Policy Announcements: An Approach Trough the Perspective of Foreign Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 29-65, july-Dece.
    4. Trunin, Pavel (Трунин, Павел) & Bozhechkova, Alexandra (Божечкова, Александра) & Goryunov, Eugene (Горюнов, Евгений) & Petrova, Diana, 2017. "Analysis of Approaches to Accounting of the Information Effects of Monetary Policy [Анализ Подходов К Учету Информационных Эффектов Денежно-Кредитной Политики]," Working Papers 031723, Russian Presidential Academy of National Economy and Public Administration.
    5. Hayo, Bernd & Henseler, Kai & Steffen Rapp, Marc & Zahner, Johannes, 2022. "Complexity of ECB communication and financial market trading," Journal of International Money and Finance, Elsevier, vol. 128(C).
    6. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2017. "Can the Fed Talk the Hind Legs Off the Stock Market?," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 53-94, February.
    7. Paul Hubert & Fabien Labondance, 2019. "Central bank tone and the dispersion of views within monetary policy committees," Sciences Po publications 2019 – 08, Sciences Po.
    8. Hubert, Paul & Labondance, Fabien, 2021. "The signaling effects of central bank tone," European Economic Review, Elsevier, vol. 133(C).
    9. repec:hal:spmain:info:hdl:2441/7v8fvu0bf08jcoi4epn8cutjm8 is not listed on IDEAS
    10. Fischer, Andreas M. & Ranaldo, Angelo, 2011. "Does FOMC news increase global FX trading?," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2965-2973, November.
    11. Carlo Rosa, 2011. "Talking Less And Moving The Market More: Evidence From The Ecb And The Fed," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 51-81, February.
    12. Smales, L.A. & Apergis, N., 2017. "Does more complex language in FOMC decisions impact financial markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 171-189.
    13. Hüning, Hendrik, 2017. "Asset market response to monetary policy news from SNB press releases," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 160-177.
    14. 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.
    15. Falagiarda, Matteo & Reitz, Stefan, 2013. "Announcements of ECB unconventional programs: Implications for the sovereign risk of Italy," Kiel Working Papers 1866, Kiel Institute for the World Economy (IfW Kiel).
    16. repec:hal:spmain:info:hdl:2441/4evh7bju58uep3gd1frcn5nr9 is not listed on IDEAS
    17. Paul Hubert & Fabien Labondance, 2016. "Central Bank Sentiment and Policy Expectations," Working Papers hal-03471878, HAL.
    18. Mr. Andrea Pescatori, 2018. "Central Bank Communication and Monetary Policy Surprises in Chile," IMF Working Papers 2018/156, International Monetary Fund.
    19. Hüning, Hendrik, 2016. "Asset market response to monetary policy news from SNB press releases," HWWI Research Papers 177, Hamburg Institute of International Economics (HWWI).
    20. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2012. "Can the Fed talk the Hind Legs off the Stock Market? (replaces CentER DP 2011-072)," Other publications TiSEM 347a970d-4a05-416f-a351-1, Tilburg University, School of Economics and Management.
    21. Domenico Lombardi & Pierre L. Siklos & Samantha St. Amand, 2019. "Asset Price Spillovers from Unconventional Monetary Policy: A Global Empirical Perspective," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 43-74, June.
    22. repec:hal:spmain:info:hdl:2441/3mgbd73vkp9f9oje7utooe7vpg is not listed on IDEAS
    23. repec:hal:spmain:info:hdl:2441/64veevce0i99oav223j3pkv1hf is not listed on IDEAS
    24. Kaminska, Iryna & Mumtaz, Haroon & Šustek, Roman, 2021. "Monetary policy surprises and their transmission through term premia and expected interest rates," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 48-65.

    More about this item

    Keywords

    Artificial Intelligence (AI); ChatGPT; Monetary Policy Communication; Reserve Bank of Australia (RBA);
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G1 - Financial Economics - - General Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323008863. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.