Araştırma Makalesi
BibTex RIS Kaynak Göster

Cosine Similarity Scores for Central Bank Monetary Policy Statements: An Empirical Analysis of FED Press Releases

Yıl 2024, Cilt: 5 Sayı: 1, 58 - 77, 05.07.2024
https://doi.org/10.62001/gsijses.1491120

Öz

This study aims to analyze the monetary policy texts of the Federal Open Market Committee (FOMC) through similarity analysis. Text similarity scores are calculated using the cosine similarity theory to identify the content similarity between consecutive press releases. The results of the analysis show that the content of FOMC releases is significantly similar in certain periods and that these similarities are shaped by changes in economic conditions, but that the population behaves differently despite similar policy texts in response to changes in economic conditions. Among the interesting results of the study are that similarities provide consistency and reliability regarding the FOMC's policy decisions, but may create uncertainty and reduce the effectiveness of the FED's communication. The study also aims to contribute to the literature by highlighting the potential of using natural language processing (NLP) tools in the analysis of central bank communications.

Kaynakça

  • Akbıyık, A. & Coşkun, E. (2013). Eğitsel sosyal yazılımların kabul ve kullanımına yönelik bir model. Online Academic Journal of Information Technology. 4(13), 39-62.
  • Akça, Y. & Özer, G. (2012). Teknoloji kabul model’inin kurumsal kaynak planlaması uygulamalarında kullanılması. Business and Economics Research Journal, 3(2), 79-96.
  • Acosta M. & Meade E. (2015). Hanging on Every Word: Semantic Analysis of the FOMC's Postmeeting Statement. Board of Governors of the Federal Reserve System (U.S.), FEDS Notes 2015-09-30.
  • Amaya D. & Filbien J-Y. (2015). The Similarity of ECB’s Communication. Finance Research Letters, Volume 13.
  • Apel M. & Grimaldi M.B. (2012). The Information Content of Central Bank Minutes. Sveriges Riksbank Working Paper Series, No. 261.
  • Armelius H. & Bertsch C. & Hull I. & Zhang X. (2018). Spread the Word: International Spillovers from Central Bank Communication. Sveriges Riksbank Research Paper Series, No. 357.
  • Bholat D. & Hansen S. & Santos P., Schonhardt-Bailey C. (2015). Text Mining for Central Banks. https://www.bankofengland.co.uk/ccbs/text- mining-for-central-banks, Erişim Tarihi: 20.02.2024.
  • Blinder A.S. & Ehrmann M. & Fratzscher M. & Haan J.D. & Jansen D.J. (2008). Central bank Communication and Monetary Policy: A Survey of Theory and Evidence. European Central Bank Working Paper Series, No. 898.
  • Boyacıoğlu E.Z. & Türksever E. & Adıgüzel T. & Taş H. & Ulu B. (2023). Faiz Kararı ile İlgili Makro Ekonomi Gündemi ve Duygu Durumu İncelemesi: Twitter Analizi. İzmir İktisat Dergisi, Cilt 38, Sayı 3, Sayfa 862-883.
  • Bushman R.M. & Chen C.D. & Williams C.D. (2017). Informativeness and Timeliness of Text Similarity Measures for Predicting Banks' Tail Comovement. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2983315, Erişim Tarihi: 19.02.2024.
  • Chatchawan S. (2021). Effects of Central Bank Communication on Financial Markets: A Factor-Augmented Vector Autoregressive Approach. Journal of Business Administration, Vol. 44 No. 171.
  • Cormier B. & Manger M.S. (2018). The Evolution of World Bank Conditionality: A Quantitative Text Analysis. https://www.peio.me/wp- content/uploads/2020/01/PEIO13_paper_46.pdf, Erişim Tarihi: 20.02.2024.
  • Egesdal, M. & Gill M., Rotemberg M. (2015). How Federal Reserve Discussions Respond To Increased Transparency, https://scholar.harvard.edu/files/mrotemberg/files/fed_text_oct2015.pdf, 20.02.2024.
  • Ehrmann M. & Talmi J. (2017). Starting From A Blank Page? Semantic Similarity in Central Bank Communication and Market Volatility. ECB Working Paper, No 2023.
  • Gonzales M. & Tadle R.C. (2022). Monetary Policy Press Releases: An International Comparison. BIS Working Papers, No 1023, https://www.bis.org/publ/work1023.pdf, Erişim Tarihi:20.02.2024.
  • Guo K.H. (2022). Testing and Validating the Cosine Similarity Measure for Textual Analysis. https://papers.ssrn.com/sol3/papers.cfm? abstract_id=4258463, Erişim Tarihi: 16.04.2024.
  • Gürkaynak R.S. & Sack B., Swanson E.T. (2005). The Response of Asset Prices to Monetary Policy Actions and Statements. International Journal of Central Banking, https://www.ijcb.org/journal/ijcb05q2a2.htm, 25.02.2024.
  • Hansen S. & McMahon M. (2016). Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication. Journal of International Economics, No 99.
  • Hansen S. & McMahon M. & Tong M. (2020). The Long-Run Information Effect of Central Bank Communication. European Central Bank Working Paper Series, No 2363.
  • Hernández-Murillo, R. & Shell H.G. (2014). Rising Complexity of the FOMC Statement. Economic Synopses, No. 23.
  • Jansen, D.J. & J. de Haan (2010). An Assessment of the Consistency of ECB Communication using Wordscores, DNB Working Paper, No. 259.
  • Jegadeesh N. & Wu D. (2015). Deciphering Fedspeak: The Information Content of FOMC Meetings. https://www.aeaweb.org/conference/2016/retrieve.php?pdfid=21466&tk=niAkBk3N, Erişim Tarihi: 27.02.2024.
  • Koç A. & Çelik A. (2022). Covid-19 Döneminde ABD Borsaları, Altın Fiyatları ve VIX Endeksi ile Bitcoin ve Ethereum Fiyatları Arasındaki İlişkinin Analizi. https://dergipark.org.tr/tr/download/article-file/2439896, Erişim Tarihi: 13.04.2024.
  • Loughran T. & McDonald B. (2011). When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks. The Journal of Finance, Vol. LXVI No. 1.
  • Loughran T. & McDonald B. (2016). Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research, Volume 54, Issue 4.
  • Lucca D.O. & Trebbi F. (2009). Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements. NBER Working Paper, No. 15367.
  • Masciandro D. & Romelli D. & Rubera G. (2022). Monetary Policy and Financial Markets: Evidence from Twitter Traffic. Bocconi University Working Paper, No. 160.
  • Nan H. & Zexi S. (2021). Uncertain Talking at Central Bank’s Press Conference: News or Noise? HKIMR Working Paper, No.04/2021, Hong Kong Institute for Monetary and Financial Research.
  • Narain N. & Sangani K. (2023). The Market Impact of Fed Communications: The Role of the Press Conference. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4354333, 20.02.2024.
  • Picault M. & Renault T. (2017). Words are Not All Created Equal: A New Measure of ECB Communication. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2980777, Erişim Tarihi: 27.02.2024.
  • Schmeling M. & Wagner C. (2023). Does Central Bank Tone Move Asset Prices? https://ssrn.com/abstract=2629978, Erişim Tarihi: 27.02.2024.
  • Tetlock P.C. (2007). Giving Content to Investor Sentiment: The Role of Media in the Stock Market. The Journal of Finance, Vol. 62 No. 3.
  • Tetlock P.C. (2014). Information Transmission in Finance. The Annual Review of Financial Economics, 2014.6.
  • www.cnbc.com/2018/12/31/stock-market-wall-street-stocks-eye-us-china-trade-talks.html, Erişim Tarihi: 13.04.2024.
  • https://www.nyse.com/data-insights/market-reactions-after-fed-rate-cut, Erişim Tarihi: 13.04.2024.
  • https://www.imf.org/en/Blogs/Articles/2019/05/23/blog-the-impact-of-us-china-trade-tensions, Erişim Tarihi: 13.04.2024.

Merkez Bankası Para Politikası Metinleri İçin Kosinüs Benzerlik Skorları: FED Basın Duyuruları Üzerine Ampirik Bir Analiz

Yıl 2024, Cilt: 5 Sayı: 1, 58 - 77, 05.07.2024
https://doi.org/10.62001/gsijses.1491120

Öz

Bu çalışma, Federal Açık Piyasa Komitesi'nin (FOMC) para politikası metinlerinin benzerlik analizi yoluyla incelenmesini amaçlamaktadır. Metin benzerlik skorları, ardışık duyurular arasındaki içerik benzerliğini belirlemek için kosinüs benzerliği teorisi kullanılarak hesaplanmıştır. Analiz sonuçları, belirli dönemlerde FOMC duyurularının içeriğinin önemli ölçüde benzeştiğini ve bu benzerliklerin ekonomik koşullardaki değişikliklere bağlı olarak şekillendiğini ancak nüfusun ekonomik koşullardaki değişimi dikkate alarak benzer politika metinlerine rağmen farklı davranışlar sergilediğini göstermektedir. Benzerliklerin, FOMC'nin politika kararlarına ilişkin tutarlılık ve güvenilirlik sağladığı, ancak belirsizlikler yaratabildiği ve FED’in iletişim etkinliğini azaltabileceği çalışmanın ilgi çekici sonuçları arasındadır. Çalışma, ayrıca doğal dil işleme (NLP) araçlarının merkez bankası iletişimlerinin analizinde kullanımının potansiyelini vurgulayarak literatüre katkı sağlamayı amaçlamaktadır.

Kaynakça

  • Akbıyık, A. & Coşkun, E. (2013). Eğitsel sosyal yazılımların kabul ve kullanımına yönelik bir model. Online Academic Journal of Information Technology. 4(13), 39-62.
  • Akça, Y. & Özer, G. (2012). Teknoloji kabul model’inin kurumsal kaynak planlaması uygulamalarında kullanılması. Business and Economics Research Journal, 3(2), 79-96.
  • Acosta M. & Meade E. (2015). Hanging on Every Word: Semantic Analysis of the FOMC's Postmeeting Statement. Board of Governors of the Federal Reserve System (U.S.), FEDS Notes 2015-09-30.
  • Amaya D. & Filbien J-Y. (2015). The Similarity of ECB’s Communication. Finance Research Letters, Volume 13.
  • Apel M. & Grimaldi M.B. (2012). The Information Content of Central Bank Minutes. Sveriges Riksbank Working Paper Series, No. 261.
  • Armelius H. & Bertsch C. & Hull I. & Zhang X. (2018). Spread the Word: International Spillovers from Central Bank Communication. Sveriges Riksbank Research Paper Series, No. 357.
  • Bholat D. & Hansen S. & Santos P., Schonhardt-Bailey C. (2015). Text Mining for Central Banks. https://www.bankofengland.co.uk/ccbs/text- mining-for-central-banks, Erişim Tarihi: 20.02.2024.
  • Blinder A.S. & Ehrmann M. & Fratzscher M. & Haan J.D. & Jansen D.J. (2008). Central bank Communication and Monetary Policy: A Survey of Theory and Evidence. European Central Bank Working Paper Series, No. 898.
  • Boyacıoğlu E.Z. & Türksever E. & Adıgüzel T. & Taş H. & Ulu B. (2023). Faiz Kararı ile İlgili Makro Ekonomi Gündemi ve Duygu Durumu İncelemesi: Twitter Analizi. İzmir İktisat Dergisi, Cilt 38, Sayı 3, Sayfa 862-883.
  • Bushman R.M. & Chen C.D. & Williams C.D. (2017). Informativeness and Timeliness of Text Similarity Measures for Predicting Banks' Tail Comovement. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2983315, Erişim Tarihi: 19.02.2024.
  • Chatchawan S. (2021). Effects of Central Bank Communication on Financial Markets: A Factor-Augmented Vector Autoregressive Approach. Journal of Business Administration, Vol. 44 No. 171.
  • Cormier B. & Manger M.S. (2018). The Evolution of World Bank Conditionality: A Quantitative Text Analysis. https://www.peio.me/wp- content/uploads/2020/01/PEIO13_paper_46.pdf, Erişim Tarihi: 20.02.2024.
  • Egesdal, M. & Gill M., Rotemberg M. (2015). How Federal Reserve Discussions Respond To Increased Transparency, https://scholar.harvard.edu/files/mrotemberg/files/fed_text_oct2015.pdf, 20.02.2024.
  • Ehrmann M. & Talmi J. (2017). Starting From A Blank Page? Semantic Similarity in Central Bank Communication and Market Volatility. ECB Working Paper, No 2023.
  • Gonzales M. & Tadle R.C. (2022). Monetary Policy Press Releases: An International Comparison. BIS Working Papers, No 1023, https://www.bis.org/publ/work1023.pdf, Erişim Tarihi:20.02.2024.
  • Guo K.H. (2022). Testing and Validating the Cosine Similarity Measure for Textual Analysis. https://papers.ssrn.com/sol3/papers.cfm? abstract_id=4258463, Erişim Tarihi: 16.04.2024.
  • Gürkaynak R.S. & Sack B., Swanson E.T. (2005). The Response of Asset Prices to Monetary Policy Actions and Statements. International Journal of Central Banking, https://www.ijcb.org/journal/ijcb05q2a2.htm, 25.02.2024.
  • Hansen S. & McMahon M. (2016). Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication. Journal of International Economics, No 99.
  • Hansen S. & McMahon M. & Tong M. (2020). The Long-Run Information Effect of Central Bank Communication. European Central Bank Working Paper Series, No 2363.
  • Hernández-Murillo, R. & Shell H.G. (2014). Rising Complexity of the FOMC Statement. Economic Synopses, No. 23.
  • Jansen, D.J. & J. de Haan (2010). An Assessment of the Consistency of ECB Communication using Wordscores, DNB Working Paper, No. 259.
  • Jegadeesh N. & Wu D. (2015). Deciphering Fedspeak: The Information Content of FOMC Meetings. https://www.aeaweb.org/conference/2016/retrieve.php?pdfid=21466&tk=niAkBk3N, Erişim Tarihi: 27.02.2024.
  • Koç A. & Çelik A. (2022). Covid-19 Döneminde ABD Borsaları, Altın Fiyatları ve VIX Endeksi ile Bitcoin ve Ethereum Fiyatları Arasındaki İlişkinin Analizi. https://dergipark.org.tr/tr/download/article-file/2439896, Erişim Tarihi: 13.04.2024.
  • Loughran T. & McDonald B. (2011). When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks. The Journal of Finance, Vol. LXVI No. 1.
  • Loughran T. & McDonald B. (2016). Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research, Volume 54, Issue 4.
  • Lucca D.O. & Trebbi F. (2009). Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements. NBER Working Paper, No. 15367.
  • Masciandro D. & Romelli D. & Rubera G. (2022). Monetary Policy and Financial Markets: Evidence from Twitter Traffic. Bocconi University Working Paper, No. 160.
  • Nan H. & Zexi S. (2021). Uncertain Talking at Central Bank’s Press Conference: News or Noise? HKIMR Working Paper, No.04/2021, Hong Kong Institute for Monetary and Financial Research.
  • Narain N. & Sangani K. (2023). The Market Impact of Fed Communications: The Role of the Press Conference. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4354333, 20.02.2024.
  • Picault M. & Renault T. (2017). Words are Not All Created Equal: A New Measure of ECB Communication. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2980777, Erişim Tarihi: 27.02.2024.
  • Schmeling M. & Wagner C. (2023). Does Central Bank Tone Move Asset Prices? https://ssrn.com/abstract=2629978, Erişim Tarihi: 27.02.2024.
  • Tetlock P.C. (2007). Giving Content to Investor Sentiment: The Role of Media in the Stock Market. The Journal of Finance, Vol. 62 No. 3.
  • Tetlock P.C. (2014). Information Transmission in Finance. The Annual Review of Financial Economics, 2014.6.
  • www.cnbc.com/2018/12/31/stock-market-wall-street-stocks-eye-us-china-trade-talks.html, Erişim Tarihi: 13.04.2024.
  • https://www.nyse.com/data-insights/market-reactions-after-fed-rate-cut, Erişim Tarihi: 13.04.2024.
  • https://www.imf.org/en/Blogs/Articles/2019/05/23/blog-the-impact-of-us-china-trade-tensions, Erişim Tarihi: 13.04.2024.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Finans
Bölüm Teorik Makale
Yazarlar

Mehmet Fatih Görgün 0009-0009-8578-1638

Erhan Demireli 0000-0002-3457-0699

Yayımlanma Tarihi 5 Temmuz 2024
Gönderilme Tarihi 28 Mayıs 2024
Kabul Tarihi 30 Haziran 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 5 Sayı: 1

Kaynak Göster

APA Görgün, M. F., & Demireli, E. (2024). Merkez Bankası Para Politikası Metinleri İçin Kosinüs Benzerlik Skorları: FED Basın Duyuruları Üzerine Ampirik Bir Analiz. Uluslararası Sosyal Ve Ekonomik Çalışmalar Dergisi, 5(1), 58-77. https://doi.org/10.62001/gsijses.1491120