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Word power: A new approach for content analysis

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Cited by:

  1. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2022. "Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 522-540, January.
  2. Bastian von Beschwitz & Donald B Keim & Massimo Massa, 2020. "First to “Read” the News: News Analytics and Algorithmic Trading," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(1), pages 122-178.
  3. Tsukioka, Yasutomo & Yanagi, Junya & Takada, Teruko, 2018. "Investor sentiment extracted from internet stock message boards and IPO puzzles," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 205-217.
  4. Yan Luo & Linying Zhou, 2020. "Textual tone in corporate financial disclosures: a survey of the literature," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 101-110, September.
  5. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
  6. Yi Zhang, 2022. "Analyst coverage and corporate social responsibility decoupling: Evidence from China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(3), pages 620-634, May.
  7. Christina Bannier & Thomas Pauls & Andreas Walter, 2019. "Content analysis of business communication: introducing a German dictionary," Journal of Business Economics, Springer, vol. 89(1), pages 79-123, February.
  8. Ricardo Correa & Keshav Garud & Juan M. Londono & Nathan Mislang, 2017. "Constructing a Dictionary for Financial Stability," IFDP Notes 2017-06-28, Board of Governors of the Federal Reserve System (U.S.).
  9. Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Sep 2023.
  10. Teplova, T. & Sokolova, T. & Tomtosov, A. & Buchko, D. & Nikulin, D., 2022. "The sentiment of private investors in explaining the differences in the trade characteristics of the Russian market stocks," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 53-84.
  11. Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
  12. Shuangyan Li & Guangrui Wang & Yongli Luo, 2022. "Tone of language, financial disclosure, and earnings management: a textual analysis of form 20-F," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
  13. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  14. Liu, Pu & Nguyen, Hazel T., 2020. "CEO characteristics and tone at the top inconsistency," Journal of Economics and Business, Elsevier, vol. 108(C).
  15. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
  16. Cookson, J. Anthony & Moon, S. Katie & Noh, Joonki, 2020. "Imprecise and Informative: Lessons from Market Reactions to Imprecise Disclosure," SocArXiv akt2c, Center for Open Science.
  17. Wu, Chen-Hui & Lin, Chan-Jane, 2017. "The impact of media coverage on investor trading behavior and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 151-172.
  18. Parle, Conor, 2022. "The financial market impact of ECB monetary policy press conferences — A text based approach," European Journal of Political Economy, Elsevier, vol. 74(C).
  19. Ahmed, Yousry & Elshandidy, Tamer, 2016. "The effect of bidder conservatism on M&A decisions: Text-based evidence from US 10-K filings," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 176-190.
  20. George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
  21. Chouliaras, Andreas, 2015. "Institutional Investors, Annual Reports, Textual Analysis and Stock Returns: Evidence from SEC EDGAR 10-K and 13-F Forms," MPRA Paper 65875, University Library of Munich, Germany.
  22. Young Joon Lee & Soohyon Kim & Ki Young Park, 2019. "Deciphering Monetary Policy Board Minutes with Text Mining: The Case of South Korea," Korean Economic Review, Korean Economic Association, vol. 35, pages 471-511.
  23. Bianconi, Marcelo & Hua, Xiaxin & Tan, Chih Ming, 2015. "Determinants of systemic risk and information dissemination," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 352-368.
  24. Chouliaras, Andreas, 2016. "The Effect of Infomation on Financial Markets: A Survey," MPRA Paper 71396, University Library of Munich, Germany.
  25. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
  26. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  27. John Berns & Patty Bick & Ryan Flugum & Reza Houston, 2022. "Do changes in MD&A section tone predict investment behavior?," The Financial Review, Eastern Finance Association, vol. 57(1), pages 129-153, February.
  28. Xiaohua Bao & Hailiang Huang & Larry D Qiu & Xiaozhuo Wang, 2022. "Exchange rate expectations and exports: Firm-level evidence from China," Discussion Papers 2022-07, University of Nottingham, GEP.
  29. Bian, Shibo & Jia, Dekui & Li, Ruihai & Sun, Wujun & Yan, Zhipeng & Zheng, Yingfei, 2021. "Can management tone predict IPO performance? – Evidence from mandatory online roadshows in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  30. Onur Bayar & Emre Kesici, 2024. "The impact of social media on venture capital financing: evidence from Twitter interactions," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 195-224, January.
  31. Chouliaras, Andreas, 2015. "High Frequency Newswire Textual Sentiment: Evidence from international stock markets during the European Financial Crisis," MPRA Paper 62524, University Library of Munich, Germany.
  32. Anand, Abhinav & Basu, Sankarshan & Pathak, Jalaj & Thampy, Ashok, 2021. "The impact of sentiment on emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 161-177.
  33. Harry Mamaysky & Paul Glasserman, 2016. "Does Unusual News Forecast Market Stress?," Working Papers 16-04, Office of Financial Research, US Department of the Treasury.
  34. Nadine Gatzert & Dinah Heidinger, 2020. "An Empirical Analysis of Market Reactions to the First Solvency and Financial Condition Reports in the European Insurance Industry," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 407-436, June.
  35. Dimitris Anastasiou & Apostolos Katsafados, 2023. "Bank deposits and textual sentiment: When an European Central Bank president's speech is not just a speech," Manchester School, University of Manchester, vol. 91(1), pages 55-87, January.
  36. Sha Liu, 2014. "The Impact of Textual Sentiment on Sovereign Bond Yield Spreads: Evidence from the Eurozone Crisis," Multinational Finance Journal, Multinational Finance Journal, vol. 18(3-4), pages 215-248, September.
  37. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
  38. José Manuel López‐Fernández & Mariluz Maté‐Sánchez‐Val & Francisco Manuel Somohano‐Rodriguez, 2021. "The effect of micro‐territorial networks on industrial small and medium enterprises' innovation: A case study in the Spanish region of Cantabria," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 51-77, February.
  39. Simon Fritzsch & Philipp Scharner & Gregor Weiß, 2021. "Estimating the relation between digitalization and the market value of insurers," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 529-567, September.
  40. Chung, Dennis Y. & Hrazdil, Karel & Novak, Jiri & Suwanyangyuan, Nattavut, 2019. "Does the large amount of information in corporate disclosures hinder or enhance price discovery in the capital market?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 15(1), pages 36-52.
  41. Kim, Hee-Eun & Jo, Hoje & Ahn, Tae-Wook & Yi, Junesuh, 2022. "Corporate misconduct, media coverage, and stock returns," International Review of Financial Analysis, Elsevier, vol. 84(C).
  42. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
  43. Nicky J. Ferguson & Dennis Philip & Herbert Y. T. Lam & Jie Michael Guo, 2015. "Media Content and Stock Returns: The Predictive Power of Press," Multinational Finance Journal, Multinational Finance Journal, vol. 19(1), pages 1-31, March.
  44. Chouliaras, Andreas, 2015. "The Pessimism Factor: SEC EDGAR Form 10-K Textual Analysis and Stock Returns," MPRA Paper 65585, University Library of Munich, Germany.
  45. Deng, Xiaohu & Gao, Lei, 2018. "Annual report "Graphicity" and stock returns," Working Papers 2018-08, University of Tasmania, Tasmanian School of Business and Economics.
  46. Javid Iqbal & Khalid Riaz, 2022. "Predicting future financial performance of banks from management’s tone in the textual disclosures," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2691-2721, August.
  47. Dennis W. Campbell & Ruidi Shang, 2022. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews," Management Science, INFORMS, vol. 68(9), pages 7034-7053, September.
  48. Özgür Arslan‐Ayaydin & James Thewissen & Wouter Torsin, 2021. "Disclosure tone management and labor unions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 102-147, January.
  49. Yan, Yumeng & Xiong, Xiong & Meng, J. Ginger & Zou, Gaofeng, 2019. "Uncertainty and IPO initial returns: Evidence from the Tone Analysis of China’s IPO Prospectuses," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  50. Löffler, Gunter & Norden, Lars & Rieber, Alexander, 2021. "Negative news and the stock market impact of tone in rating reports," Journal of Banking & Finance, Elsevier, vol. 133(C).
  51. Ardia, David & Bluteau, Keven & Boudt, Kris, 2022. "Media abnormal tone, earnings announcements, and the stock market," Journal of Financial Markets, Elsevier, vol. 61(C).
  52. Massa, Massimo & von Beschwitz, Bastian & Keim, Donald B, 2015. "First to ?Read? the News: News Analytics and Institutional Trading," CEPR Discussion Papers 10534, C.E.P.R. Discussion Papers.
  53. Su, Zhi & Lu, Man & Yin, Libo, 2018. "Oil prices and news-based uncertainty: Novel evidence," Energy Economics, Elsevier, vol. 72(C), pages 331-340.
  54. Ricardo Correa & Keshav Garud & Juan M Londono & Nathan Mislang, 2021. "Sentiment in Central Banks’ Financial Stability Reports," Review of Finance, European Finance Association, vol. 25(1), pages 85-120.
  55. Boubaker, Sabri & Liu, Zhenya & Zhai, Ling, 2021. "Big data, news diversity and financial market crash," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  56. Justyna Klejdysz & Robin L. Lumsdaine, 2023. "Shifts in ECB Communication: A Textual Analysis of the Press Conference," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 473-542, June.
  57. Jia Xue & Youshi He & Ming Liu & Yin Tang & Hanyang Xu, 2021. "Incentives for Corporate Environmental Information Disclosure in China: Public Media Pressure, Local Government Supervision and Interactive Effects," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
  58. Mushtaq, Rizwan & Gull, Ammar Ali & Shahab, Yasir & Derouiche, Imen, 2022. "Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence," Research in International Business and Finance, Elsevier, vol. 61(C).
  59. Youngjoon Lee & Soohyon Kim & Ki Young Park, 2018. "Deciphering Monetary Policy Committee Minutes with Text Mining Approach: A Case of South Korea," Working papers 2018rwp-132, Yonsei University, Yonsei Economics Research Institute.
  60. Donald B. Keim & Massimo Massa & Bastian von Beschwitz, 2018. "First to \"Read\" the News: New Analytics and Algorithmic Trading," International Finance Discussion Papers 1233, Board of Governors of the Federal Reserve System (U.S.).
  61. Steven Heston & Nitish R. Sinha, 2016. "News versus Sentiment : Predicting Stock Returns from News Stories," Finance and Economics Discussion Series 2016-048, Board of Governors of the Federal Reserve System (U.S.).
  62. Miwa, Kotaro, 2023. "Divergent opinions on social media," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 182-196.
  63. Gilberto Marquez-Illescas & Allan A. Zebedee & Linying Zhou, 2019. "Hear Me Write: Does CEO Narcissism Affect Disclosure?," Journal of Business Ethics, Springer, vol. 159(2), pages 401-417, October.
  64. Buehlmaier, Matthias M. M. & Zechner, Josef, 2016. "Financial media, price discovery, and merger arbitrage," CFS Working Paper Series 551, Center for Financial Studies (CFS).
  65. Eleni Kalamara & Arthur Turrell & Chris Redl & George Kapetanios & Sujit Kapadia, 2022. "Making text count: Economic forecasting using newspaper text," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 896-919, August.
  66. Beattie, Vivien, 2014. "Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework," The British Accounting Review, Elsevier, vol. 46(2), pages 111-134.
  67. Dutta, Shantanu & Fuksa, Michel & Macaulay, Ken, 2019. "Determinants of MD&A sentiment in Canada," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 130-148.
  68. Guo, Haifeng & Wang, Ying & Wang, Bo & Ge, Yuanjing, 2022. "Does prospectus AE affect IPO underpricing? A content analysis of the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 1-12.
  69. Ángel Iván Moreno Bernal & Carlos González Pedraz, 2020. "Sentiment analysis of the Spanish Financial Stability Report," Working Papers 2011, Banco de España.
  70. Ming-Fu Hsu & Chingho Chang & Jhih‐Hong Zeng, 2022. "Automated text mining process for corporate risk analysis and management," Risk Management, Palgrave Macmillan, vol. 24(4), pages 386-419, December.
  71. Jaeschke, Reemda & Lopatta, Kerstin & Yi, Cheong, 2018. "Managers’ use of language in corrupt firms’ financial disclosures: Evidence from FCPA violators," Scandinavian Journal of Management, Elsevier, vol. 34(2), pages 170-192.
  72. Giannini, Robert & Irvine, Paul & Shu, Tao, 2019. "The convergence and divergence of investors' opinions around earnings news: Evidence from a social network," Journal of Financial Markets, Elsevier, vol. 42(C), pages 94-120.
  73. Marianna Mauro & Monica Giancotti & Giovanna Talarico, 2017. "Mapping the field: A bibliometric analysis of accountability literature in healthcare," MECOSAN, FrancoAngeli Editore, vol. 2017(101), pages 7-30.
  74. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
  75. Zheng, Hannan & Schwenkler, Gustavo, 2020. "The network of firms implied by the news," ESRB Working Paper Series 108, European Systemic Risk Board.
  76. Li, Ken, 2022. "Textual fundamentals in earnings press releases," Advances in accounting, Elsevier, vol. 57(C).
  77. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
  78. Miwa, Kotaro, 2022. "The informational role of analysts’ textual statements," Research in International Business and Finance, Elsevier, vol. 59(C).
  79. Patrick Röhm & Andreas Köhn & Andreas Kuckertz & Hermann S. Dehnen, 2018. "A world of difference? The impact of corporate venture capitalists’ investment motivation on startup valuation," Journal of Business Economics, Springer, vol. 88(3), pages 531-557, May.
  80. Ali, Sara & Badshah, Ihsan & Demirer, Riza & Hegde, Prasad, 2022. "Economic policy uncertainty and institutional investment returns: The case of New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
  81. García, Diego & Hu, Xiaowen & Rohrer, Maximilian, 2023. "The colour of finance words," Journal of Financial Economics, Elsevier, vol. 147(3), pages 525-549.
  82. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," LSE Research Online Documents on Economics 122592, London School of Economics and Political Science, LSE Library.
  83. Nicholas Apergis & Ioannis Pragidis, 2019. "Stock Price Reactions to Wire News from the European Central Bank: Evidence from Changes in the Sentiment Tone and International Market Indexes," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(1), pages 91-112, February.
  84. D. G. DeBoskey & Yan Luo & Linying Zhou, 2019. "CEO power, board oversight, and earnings announcement tone," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 657-680, February.
  85. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
  86. Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2024. "Machine learning in bank merger prediction: A text-based approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 783-797.
  87. Francesco Saverio Stentella Lopes & Franco Fiordelisi & Ornella Ricci, 2019. "Corporate Culture and Merger Success," Working Papers 19013, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
  88. Ignatov, Konstantin, 2023. "When ESG talks: ESG tone of 10-K reports and its significance to stock markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
  89. Xiao Wu, Dong & Yao, Xiao & Luan Guo, Jian, 2021. "Is Textual Tone Informative or Inflated for Firm’s Future Value? Evidence from Chinese Listed Firms," Economic Modelling, Elsevier, vol. 94(C), pages 513-525.
  90. Yuan, Dongliang & Shang, Duo & Ma, Yufei & Li, Dehui, 2022. "The Spillover Effects of Peer Annual Report Tone for Firm Innovation Investment: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  91. Li Guo & Lin Peng & Yubo Tao & Jun Tu, 2017. "Joint News, Attention Spillover,and Market Returns," Papers 1703.02715, arXiv.org, revised Nov 2022.
  92. Renato Camodeca & Alex Almici & Umberto Sagliaschi, 2018. "Sustainability Disclosure in Integrated Reporting: Does It Matter to Investors? A Cheap Talk Approach," Sustainability, MDPI, vol. 10(12), pages 1-34, November.
  93. Noh, Joonki & Zhou, Dexin, 2022. "Executives’ Blaming external factors and market reactions: Evidence from earnings conference calls," Journal of Banking & Finance, Elsevier, vol. 134(C).
  94. Betton, Sandra & Davis, Frederick & Walker, Thomas, 2018. "Rumor rationales: The impact of message justification on article credibility," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 271-287.
  95. 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).
  96. Wanli Li & Tiantian Yan & Yue Li & Ziqiao Yan, 2023. "Earnings management and CSR report tone: Evidence from China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1883-1902, July.
  97. Ming Jia & Li Tong & P. V. Viswanath & Zhe Zhang, 2016. "Word Power: The Impact of Negative Media Coverage on Disciplining Corporate Pollution," Journal of Business Ethics, Springer, vol. 138(3), pages 437-458, October.
  98. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
  99. Miwa, Kotaro, 2021. "Language barriers in analyst reports," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 223-236.
  100. Kothari, Pratik & Chance, Don M. & Ferris, Stephen P., 2021. "Bragging rights: Does corporate boasting imply value creation?," Journal of Corporate Finance, Elsevier, vol. 67(C).
  101. John Griffith & Mohammad Najand & Jiancheng Shen, 2020. "Emotions in the Stock Market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 42-56, January.
  102. Bai, Chenjiang & Duan, Yuejiao & Fan, Xiaoyun & Tang, Shuai, 2023. "Financial market sentiment and stock return during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 54(C).
  103. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
  104. Zheng Tracy Ke & Bryan T. Kelly & Dacheng Xiu, 2019. "Predicting Returns With Text Data," NBER Working Papers 26186, National Bureau of Economic Research, Inc.
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