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Sentiment Analysis of State Bank of Pakistan's Monetary Policy Documents and its Impact on Stock Market

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  • Aabid Karim
  • Heman Das Lohano

Abstract

This research examines whether sentiments conveyed in the State Bank of Pakistan's (SBP) communications impact financial market expectations and can act as a monetary policy tool. To achieve our goal, we first use sentiment analysis techniques to quantify the tone of SBP monetary policy documents and second, we use short time window, high frequency methodology to approximate the impact of tone on stock market returns. Our results show that positive (negative) change in the tone positively (negatively) impacts stock returns in Karachi Stock Exchange. Further extension shows that the communication of SBP still has a statistically significant impact on stock returns when controlling for different variables and monetary policy tool. Also, the communication of SBP does not have a long term constant effect on stock market.

Suggested Citation

  • Aabid Karim & Heman Das Lohano, 2024. "Sentiment Analysis of State Bank of Pakistan's Monetary Policy Documents and its Impact on Stock Market," Papers 2408.03328, arXiv.org.
    • Handle: RePEc:arx:papers:2408.03328
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    1. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, 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. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2014. "Central Bank Communication on Financial Stability," Economic Journal, Royal Economic Society, vol. 124(577), pages 701-734, June.
    4. Schmeling, Maik & Wagner, Christian, 2019. "Does Central Bank Tone Move Asset Prices?," CEPR Discussion Papers 13490, C.E.P.R. Discussion Papers.
    5. Stephen Hansen & Michael McMahon, 2016. "Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication," NBER Chapters, in: NBER International Seminar on Macroeconomics 2015, National Bureau of Economic Research, Inc.
    6. Istrefi, Klodiana & Odendahl, Florens & Sestieri, Giulia, 2023. "Fed communication on financial stability concerns and monetary policy decisions: Revelations from speeches," Journal of Banking & Finance, Elsevier, vol. 151(C).
    7. Ruman, Asif M., 2023. "A Comparative Textual Study of FOMC Transcripts Through Inflation Peaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 87(C).
    8. Jess Benhabib & Pengfei Wang & Yi Wen, 2015. "Sentiments and Aggregate Demand Fluctuations," Econometrica, Econometric Society, vol. 83, pages 549-585, March.
    9. Anastasios Petropoulos & Vasilis Siakoulis, 2021. "Can central bank speeches predict financial market turbulence? Evidence from an adaptive NLP sentiment index analysis using XGBoost machine learning technique," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 21(4), pages 141-153.
    10. George‐Marios Angeletos & Fabrice Collard & Harris Dellas, 2018. "Quantifying Confidence," Econometrica, Econometric Society, vol. 86(5), pages 1689-1726, September.
    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. Michael Ehrmann & Marcel Fratzscher, 2009. "Explaining Monetary Policy in Press Conferences," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 42-84, June.
    13. Paul Hubert & Fabien Labondance, 2016. "Central Bank Sentiment and Policy Expectations," SciencePo Working papers Main hal-03459227, HAL.
    14. Michael McMahon & Mr. Alfred Schipke & Xiang Li, 2018. "China’s Monetary Policy Communication: Frameworks, Impact, and Recommendations," IMF Working Papers 2018/244, International Monetary Fund.
    15. Alexander Hillert & Heiko Jacobs & Sebastian Müller, 2014. "Media Makes Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3467-3501.
    16. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
    17. Xian Wang & Yijian Zhao & Qingyi Wang & Huang Yixing & Gabedava George, 2023. "Does the Centrual Economic Work Conference (CEWC) affect the stock market?," Journal of Capital Markets Studies, Emerald Group Publishing Limited, vol. 7(1), pages 38-52, February.
    18. Apel Mikael & Grimaldi Marianna Blix, 2014. "How Informative Are Central Bank Minutes?," Review of Economics, De Gruyter, vol. 65(1), pages 53-76, April.
    19. repec:pri:cepsud:161blinder is not listed on IDEAS
    20. Choudhary, M. Ali & Pasha, Farooq & Waheed, Mohsin, 2020. "Measuring Economic Policy Uncertainty in Pakistan," MPRA Paper 100013, University Library of Munich, Germany.
    21. repec:hal:spmain:info:hdl:2441/64veevce0i99oav223j3pkv1hf is not listed on IDEAS
    22. Bohl, Martin T. & Kanelis, Dimitrios & Siklos, Pierre L., 2023. "Central bank mandates: How differences can influence the content and tone of central bank communication," Journal of International Money and Finance, Elsevier, vol. 130(C).
    23. Xiong, Weibo, 2012. "Measuring the monetary policy stance of the People's bank of china: An ordered probit analysis," China Economic Review, Elsevier, vol. 23(3), pages 512-533.
    24. Reeves, Rachel & Sawicki, Michael, 2007. "Do financial markets react to Bank of England communication?," European Journal of Political Economy, Elsevier, vol. 23(1), pages 207-227, March.
    25. 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.
    26. Bennani, Hamza, 2019. "Does People's Bank of China communication matter? Evidence from stock market reaction," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    27. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    28. repec:zbw:bofitp:2019_009 is not listed on IDEAS
    29. Gertler, Pavel & Horvath, Roman, 2018. "Central bank communication and financial markets: New high-frequency evidence," Journal of Financial Stability, Elsevier, vol. 36(C), pages 336-345.
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