THE NATURE OF MONETARY POLICY COMMUNICATION FOR A SMALL OPEN ECONOMY - THE CASE OF THE CENTRAL BANK OF MALAYSIA

Authors

  • Chee-Hong Law School of Social Sciences, Universiti Sains Malaysia, Malaysia
  • Tuck Cheong Tang Faculty of Business and Economics, Universiti Malaya, Malaysia

DOI:

https://doi.org/10.33736/ijbs.14457.2026

Keywords:

Bank Negara Malaysia, Co-occurrence analysis, Latent Dirichlet Allocation, Monetary Policy Statement, Term Frequency-Inverse Document Frequency

Abstract

This paper deploys text analysis techniques to explore the nature of 134 MPS released by BNM between May 2004 and July 2025, a topic that has not been examined before. The word cloud presentation suggests that topics such as economic growth, price levels, and economic development, both domestically and globally, are frequently discussed, which aligns with the Term Frequency-Inverse Document Frequency (TF-IDF) analysis. The Latent Dirichlet Allocation (LDA) analysis outlines five topics covering the real economy, prices and financial markets, with Topic 2 (general price trend) receiving the most coverage over 87 months (May 20024-July 2011). Finally, the co-occurrence analysis reveals that monetary policy is primarily discussed in the context of the real sector of the economy, rather than inflation and prices, likely due to semantic content.  The MPS coverage aligns with the BNM’s role by emphasising the real sector and price levels, especially on global fronts. It is recommended that BNM redesign its communications to explicitly link the MPS to the price levels and consider additional channels for information dissemination.

References

Aguilar, A., & Perez-Cervantes, F. (2022). Communication, monetary policy and financial markets in Mexico (Working Paper No.105). Bank for International Settlements. https://www.bis.org/events/ccaresearchconf2021/bis_itam.pdf

Ang, K. T., & Tang, T. C. (2023). Effect of a monetary policy statement on overnight policy rate. Jurnal Ekonomi Malaysia, 57(2), 43-62. http://dx.doi.org/10.17576/JEM-2023-5702-04

https://doi.org/10.17576/JEM-2023-5702-04

Angino, S., & Robitu, R. (2023). One question at a time! A text mining analysis of the ECB Q&A session (Working Paper No.2852). European Central Bank. https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2852~fbd3aeb525.en.pdf

https://doi.org/10.2139/ssrn.4594061

Arun, R., Suresh, V., Veni Madhavan, C. E., & Narasimha Murthy, M. (2010). On finding the natural number of topics with latent Dirichlet allocation: Some observations. In M.J. Zaki, J. X., Y, B. Ravindran & V. Pudi (Eds.), Proceedings of PAKDD 2010: Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 391-402). Springer. https://doi.org/10.1007/978-3-642-13657-3_43

https://doi.org/10.1007/978-3-642-13657-3_43

Astuti, V., Ciarlone, A., & Coco, A. (2022). The role of central bank communication in inflation-targeting Eastern European emerging economies (Working Paper No.1381). Banca D'Italia. https://www.bancaditalia.it/pubblicazioni/temi-discussione/2022/2022-1381/index.html?com.dotmarketing.htmlpage.language=1

https://doi.org/10.2139/ssrn.4295466

Batac, C. V., Robelza, I., E. J. D., Ocampo, J. C. G., & Ramos, C. F. 2019. BSPeak: A text analysis of BSP's communication (BSP WPS 2019-04). Bangko Sentral Ng Pilipinas. https://serp-p.pids.gov.ph/publication/public/view?slug=bspeak-a-text-analysis-of-bsp-s-communications

Bholat, D., Hansen, S., Santos, P., & Schonhardt-Bailey, C. (2015). Text-mining for central banks (Centre for Central Banking Studies). Bank of England. https://www.bankofengland.co.uk/-/media/boe/files/ccbs/resources/text-mining-for-central-banks.pdf

https://doi.org/10.2139/ssrn.2624811

BNM. (n.d). About the bank. Retrieved June 18, 2024, from https://www.bnm.gov.my/introduction.

BNM. (2008). Monetary policy in 2008 - Monetary policy communication in Malaysia, in Annual Report 2008, pp. 91-93. https://www.bnm.gov.my/documents/20124/830490/cp03_002_whitebox.pdf

BNM. (2023). Statement by the financial markets committee on the Ringgit foreign exchange market. https://www.bnm.gov.my/-/fmc-stmt-jun2023

Bordes, C., & Clerc, L. (2007). Price stability and the ECB's monetary policy strategy *, Journal of Economic Surveys, 21(2), 268-326.

https://doi.org/10.1111/j.1467-6419.2006.00504.x

Cao, J., Xia, T., Li, J., Zhang, Y., & Tang, S. (2009). A density-based method for adaptive LDA model selection. Neurocomputing, 72(7-9), 1775-1781. https://doi.org/10.1016/j.neucom.2008.06.011

https://doi.org/10.1016/j.neucom.2008.06.011

Casiraghi, M., & Perez, L. P. (2022). Central Bank Communication. International Monetary Fund.

Chong, E., & Ho, S.-J. (2023). Measuring text-based sentiment from monetary policy (Working Papers WP5/2023). Bank Negara Malaysia. https://www.bnm.gov.my/documents/20124/826852/chong-ho-2023-bnmwp523.pdf

Coco. A, & Viegi, N. (2020). The monetary policy of the South African Reserve Bank: stance, communication and credibility (Working Paper WP/20/06). South African Reserve Bank. https://www.resbank.co.za/en/home/publications/publication-detail-pages/working-papers/2020/10024

Czudaj, R. L., & Nguyen, B. N. (2025). ECB's central bank communication and monetary policy transmission: Predictability from text-based sentiment indicators? Macroeconomic Dynamics, 29, e102. https://doi.org/10.1017/S1365100525000239Damane, M. (2022). Topic classification of central bank monetary policy statements: Evidence from Latent Dirichlet allocation in Lesotho. Acta Universitatis. Sapientiae, Economics and Business, 10, 199-227. https://doi.org/10.2478/auseb-2022-0012

https://doi.org/10.2478/auseb-2022-0012

Deveaud, R., Sanjuan, E, & Bellot, P. (2014). Accurate and effective latent concept modeling for ad hoc information retrieval. Document Numérique, 17(1), 61-84. https://doi.org/10.3166/DN.17.1.61-84

https://doi.org/10.3166/dn.17.1.61-84

Du Rand, G., Erasmus, R., Hollander, H., Reid, M., & van Lill, D. (2021). The evolution of central bank communication as experienced by the South Africa Reserve Bank. Economic History of Developing Regions, 36(2), 282-312. https://doi.org/10.1080/20780389.2021.1925106

https://doi.org/10.1080/20780389.2021.1925106

Ehrmann, M., & Fratzscher, M. (2005). How should central banks communicate? ECB Working Paper No. 557, https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp557.pdf

https://doi.org/10.2139/ssrn.850944

European Parliament (2018). Central Banks Communications and Monetary Policy. Monetary Dialogue September 2018. https://www.europarl.europa.eu/cmsdata/153224/WHELAN_Final.pdf

Feldkircher, M., Hofmarcher, P., & Siklos, P. (2021). What do central banks talk about? A European perspective on central bank communication. Focus on European Economic Integration. Oesterreichische Nationalbank (Austrian Central Bank), Q2/21, 61-81. https://www.oenb.at/dam/jcr:13e8b5cc-0638-43e2-977e-6646eed875c6/04_feei_Q2_21_What-do-central-banks-talk-about.pdf

Geromichalos, A.,Licari, J. M., & Suárez-Lledó, J. (2007). Monetary policy and asset prices, Review of Economic Dynamics, 10(4), 761-779.

https://doi.org/10.1016/j.red.2007.03.002

Griffiths, T. L., & Steyvers, M. (2004).

https://doi.org/10.12968/sece.2004.10.317

Finding scientific topics. Proceedings of the National Academy of Sciences, 101 (suppl. 1), 5228-5235. https://doi.org/10.1073/pnas.0307752101

https://doi.org/10.1073/pnas.0307752101

Ho, S.-J., & Karadedikli, O. (2025). Effects of monetary policy communication in emerging market economies: Evidence from Malaysia. Journal of International Money and Finance, 158, 103379. https://doi.org/10.1016/j.jimonfin.2025.103379

https://doi.org/10.1016/j.jimonfin.2025.103379

Hansen, S., & McMahon, M. (2016). Shocking language: Understanding the macroeconomic effects of central bank communication. Journal of International Economics, 99, S114-S133. https://doi.org/10.1016/j.jinteco.2015.12.008

https://doi.org/10.1016/j.jinteco.2015.12.008

Herbausen, D., Ludwig, S., Abedin, E., Ul Haque, N., & de Jong, D. (2025). From words to insights: Text analysis in business research. Journal of Business Research, 198, 115491. https://doi.org/10.1016/j.jbusres.2025.115491

https://doi.org/10.1016/j.jbusres.2025.115491

Huning, H. (2020). Swiss National Bank communication and investors' uncertainty. The North American Journal of Economics and Finance, 51, 101024. https://doi.org/10.1016/j.najef.2019.101024

https://doi.org/10.1016/j.najef.2019.101024

IMF. (2022). Central Bank Communication, Monetary and Capital Markets (MCM) Department Technical Assistance Handbook. https://www.imf.org/-/media/files/publications/miscellaneous/english/2022/handbookcommunications-jan-14-2022-v2.pdf

ISIS (March 20, 2025). Malaysia's relations with China and the United States in 2025. https://www.isis.org.my/2025/03/20/malaysias-relations-with-china-and-the-united-states-in-2025/

Kawamura, K., Kobashi, Y., Shizume, M., & Ueda, K. (2019). Strategic central bank communication: Discourse analysis of the Bank of Japan's monthly report. Journal of Economic Dynamics & Control,100, 230-250. https://doi.org/10.1016/j.jedc.2018.11.007

https://doi.org/10.1016/j.jedc.2018.11.007

Kuncoro, H., Ahmad, G. N., & Sebayang, D. (2021). A textual analysis of central bank communication: the case of Indonesia. Economic Bulletin, 41 (3), pp. 2158- 2172.

Londono, J. M., Claessens, S., & Correa, R. (2024). Financial stability governance and central bank communications, International Journal of Central Banking, 20(4), 175-220.

Luangaram, P., & Wongwachara, W. (2017). More than words: A textual analysis of monetary policy communication (PIER Discussion Paper 5). Puey Ungphakorn Institute for Economic Research. https://www.pier.or.th/en/dp/054/

Lucca, D.O., & Trebbi, F. (2009). Measuring central bank communication: An automated approach with application to FOMC statements (Working Paper No. 15367). National Bureau of Economic Research Working. https://doi.org/10.3386/w15367

https://doi.org/10.3386/w15367

Macklem, T., & Vardy, J. (2024). 20 years of central bank communications, and lessons for the future," RBA Annual Conference Papers acp2024-02, Reserve Bank of Australia, pp. 55-67. https://www.bis.org/publ/bppdf/bispap143_e.pdf

Mardones-Segovia, C., Choi, H.-J., Hong, M., Wheeler, J.M., & Cohen, A.S. (2022). Comparison of estimation algorithms for Latent Dirichlet Allocation. In Wiberg, M., Molenaar, D., González, J., Kim, J.S., & Hwang, H. (Eds.), Proceedings in Mathematics & Statistics, Quantitative Psychology: Vol.393 (pp. 27-37). Springer. https://doi.org/10.1007/978-3-031-04572-1_3

https://doi.org/10.1007/978-3-031-04572-1_3

MIDA. (2024a). Malaysia to ascend to high-income status by 2023, says Amro. https://www.mida.gov.my/mida-news/malaysia-to-ascend-to-high-income-status-by-2030-says-amro/.

MIDA. (2024b). Malaysia to benefit from "neutral" foreign policy amid US-China rivalry. https://www.mida.gov.my/mida-news/malaysia-to-benefit-from-neutral-foreign-policy-amid-us-china-

New Straits Times (October 3, 2025). Malaysia climbs two spots to 35th in global economic index. https://www.nst.com.my/business/economy/2025/10/1286631/malaysia-climbs-two-spots-35th-global-economic-freedom-index#google_vignette

Nicolay, R., de Oliveira, A. J. (2019). Inflation volatility, monetary policy signaling and clarity of the central bank communication: Evidence from an inflation targeting emerging economy. Journal of Economics Studies, 46(2), 266-283. https://doi.org/10.1108/JES-10-2017-0293

https://doi.org/10.1108/JES-10-2017-0293

Ortiz, D. P. (2023). Economic policy statements, social media, and stock market uncertainty: An analysis of Donald Trump Tweets. Journal of Economics and Finance, 47, 333-367. https://doi.org/10.1007/s12197-022-09608-5

https://doi.org/10.1007/s12197-022-09608-5

Omotosho, B. S. (2020). Monetary policy communication during the 2016 Economic recession in Nigeria: Insight from a text mining analysis. Economic and Financial Review, 58(4), 1-40. https://www.cbn.gov.ng/Out/2021/RSD/Monetary%20Policy%20Communication%20during%20the%202016.pdf

Parle, C. (2022). The financial market impact of ECB monetary policy press conference - A text based approach. European Journal of Political Economy, 74, 102230. https://doi.org/10.1016/j.ejpoleco.2022.102230

https://doi.org/10.1016/j.ejpoleco.2022.102230

Pavelkova, A. (2022). The ECB press conference: A textual analysis (Working Paper No.2742). European Central Bank Working. https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2742~d05e72b213.en.pdf

https://doi.org/10.2139/ssrn.4252105

Perez, C. M., & Minozzo, M. (2022). Monetary policy uncertainty in Mexico: An unsupervised approach (Working Paper No. 2229). Banco De Espana. https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/22/Files/dt2229e.pdf

Petropoulos, A., & Siakoulis, V. (2021). Can central bank speeches predict financial market turbulences? Evidence from an adaptive NLP sentiment index analysis using XGBoost machine learning techniques. Central Bank Review, 21, 141-153. https://doi.org/10.1016/j.cbrev.2021.12.002

https://doi.org/10.1016/j.cbrev.2021.12.002

Pfajfar D, & Žakelj B. (2018). Inflation expectations and monetary policy design: Evidence from the laboratory, Macroeconomic Dynamics, 22(4):1035-1075.

https://doi.org/10.1017/S1365100516000560

Rybinski, K. (2019). A machine learning framework for automated analysis of central bank communication and media discourse. The case of Narodowy Bank Polski. Bank I, 50(1), 1-20. https://bankikredyt.nbp.pl/content/2019/01/BIK_01_2019_01.pdf

https://doi.org/10.5604/01.3001.0054.5806

Sen, A., Sensarma, R., & Saggar, M. K. (2026). Navigating through the unknown: The uncertainty channel in monetary transmission mechanism. International Review of Economics & Finance, 106, 104943. https://doi.org/10.1016/j.iref.2026.104943

https://doi.org/10.1016/j.iref.2026.104943

Silva, T. C., Moriya, K., & Veyrune, R. M. (2025). From text to quantified insights: A large-scale LLM analysis of central bank communication, IMF Working Paper (Issue 109), 1-92. https://www.elibrary.imf.org/view/journals/001/2025/109/001.2025.issue-109-en.xml?cid=567522-com-dsp-crossref&Tabs=contentSummary-111070

https://doi.org/10.5089/9798229013802.001

Su, S., Ahmad, A. H., Wood, J., & Jia, S. (2025). Monetary policy analysis using natural language processing: Evaluating the People's Bank of China's minutes and report summary with the Taylor Rule, Economic Modelling, 149, 107121. https://www.sciencedirect.com/science/article/pii/S0264999325001166

https://doi.org/10.1016/j.econmod.2025.107121

World Business Culture (n.d.). Malaysian Business Meeting Etiquette. https://www.worldbusinessculture.com/country-profiles/malaysia/business-meeting-etiquette/

Downloads

Published

2026-09-21

How to Cite

Chee-Hong Law, & Tuck Cheong Tang. (2026). THE NATURE OF MONETARY POLICY COMMUNICATION FOR A SMALL OPEN ECONOMY - THE CASE OF THE CENTRAL BANK OF MALAYSIA. International Journal of Business and Society, 27(2), 661–680. https://doi.org/10.33736/ijbs.14457.2026