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Textual sentiment in finance: A survey of methods and models

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Cited by:

  1. Bask, Mikael & Forsberg, Lars & Östling, Andreas, 2024. "Media sentiment and stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 303-311.
  2. Picault, Matthieu & Pinter, Julien & Renault, Thomas, 2022. "Media sentiment on monetary policy: Determinants and relevance for inflation expectations," Journal of International Money and Finance, Elsevier, vol. 124(C).
  3. Ioanna Kountouri & Eleftherios Manousakis & Andrianos E. Tsekrekos, 2019. "Latent semantic analysis of corporate social responsibility reports (with an application to Hellenic firms)," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(1), pages 1-19, March.
  4. Wonseong Kim & Choong Lyol Lee, 2024. "Bounded Rationality in Central Bank Communication," Papers 2411.04286, arXiv.org.
  5. 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.
  6. Enrico Forti & Serena Morricone & Federico Munari, 2021. "Litigation risks and firms innovation dynamics after the IPO," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(2), pages 291-313, June.
  7. Oz, Seda, 2024. "The impact of terrorist attacks and mass shootings on earnings management," The British Accounting Review, Elsevier, vol. 56(3).
  8. Ahmet Murat Ozbayoglu & Mehmet Ugur Gudelek & Omer Berat Sezer, 2020. "Deep Learning for Financial Applications : A Survey," Papers 2002.05786, arXiv.org.
  9. 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.
  10. Matteo Accornero & Mirko Moscatelli, 2018. "Listening to the buzz: social media sentiment and retail depositors' trust," Temi di discussione (Economic working papers) 1165, Bank of Italy, Economic Research and International Relations Area.
  11. Liyang Tang, 2020. "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers 2005.08735, arXiv.org.
  12. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
  13. 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.
  14. Bennani, Hamza, 2018. "Media coverage and ECB policy-making: Evidence from an augmented Taylor rule," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 26-38.
  15. Osman Yukselturk & Jon Tucker, 2015. "The impact of analyst sentiment on UK stock recommendations and target prices," Accounting and Business Research, Taylor & Francis Journals, vol. 45(6-7), pages 869-904, December.
  16. Joshua Zoen Git Hiew & Xin Huang & Hao Mou & Duan Li & Qi Wu & Yabo Xu, 2019. "BERT-based Financial Sentiment Index and LSTM-based Stock Return Predictability," Papers 1906.09024, arXiv.org, revised Jul 2022.
  17. Czaja, Daniel & Röder, Florian, 2020. "Self-attribution bias and overconfidence among nonprofessional traders," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 186-198.
  18. Amir Hossain & Sudipta Bose & Abul Shamsuddin, 2023. "Diffusion of integrated reporting, insights and potential avenues for future research," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2503-2555, June.
  19. Ankur Sinha & Satishwar Kedas & Rishu Kumar & Pekka Malo, 2022. "SEntFiN 1.0: Entity‐aware sentiment analysis for financial news," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1314-1335, September.
  20. Bartram, Söhnke & Branke, Jürgen & Motahari, Mehrshad, 2020. "Artificial Intelligence in Asset Management," CEPR Discussion Papers 14525, C.E.P.R. Discussion Papers.
  21. Sergio Davalos & Ehsan H. Feroz, 2022. "A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 19-40, January.
  22. Omer Berat Sezer & Mehmet Ugur Gudelek & Ahmet Murat Ozbayoglu, 2019. "Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019," Papers 1911.13288, arXiv.org.
  23. Anh Dang & Trung Nguyen, 2021. "Valuation Effect of Emotionality in Corporate Philanthropy," Journal of Business Ethics, Springer, vol. 173(1), pages 47-67, September.
  24. 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.
  25. Gunnar Friede, 2019. "Why don't we see more action? A metasynthesis of the investor impediments to integrate environmental, social, and governance factors," Business Strategy and the Environment, Wiley Blackwell, vol. 28(6), pages 1260-1282, September.
  26. 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).
  27. Yubin Qian & Ya Sun, 2022. "Bibliometric analysis of literature on narrative discourse in corporate annual reports (1990–2019)," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(2), pages 429-446, April.
  28. Slapnik, Ursula & Lončarski, Igor, 2023. "Understanding sovereign credit ratings: Text-based evidence from the credit rating reports," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
  29. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
  30. Caglayan, Mustafa & Xu, Bing, 2016. "Sentiment volatility and bank lending behavior," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 107-120.
  31. Apergis, Nicholas & Lau, Chi Keung & Xu, Bing, 2023. "The impact of COVID-19 on stock market liquidity: Fresh evidence on listed Chinese firms," International Review of Financial Analysis, Elsevier, vol. 90(C).
  32. Friberg, Richard & Seiler, Thomas, 2017. "Risk and ambiguity in 10-Ks: An examination of cash holding and derivatives use," Journal of Corporate Finance, Elsevier, vol. 45(C), pages 608-631.
  33. Bahoo, Salman & Alon, Ilan & Paltrinieri, Andrea, 2020. "Sovereign wealth funds: Past, present and future," International Review of Financial Analysis, Elsevier, vol. 67(C).
  34. Sabri Boubaker & Dimitrios Gounopoulos & Hatem Rjiba, 2019. "Annual report readability and stock liquidity," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 28(2), pages 159-186, May.
  35. Frantisek Darena & Jonas Petrovsky & Jan Zizka & Jan Prichystal, 2016. "Analyzing the correlation between online texts and stock price movements at micro-level using machine learning," MENDELU Working Papers in Business and Economics 2016-67, Mendel University in Brno, Faculty of Business and Economics.
  36. Murat Aydogdu & Hakan Saraoglu & David Louton, 2019. "Using long short‐term memory neural networks to analyze SEC 13D filings: A recipe for human and machine interaction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(4), pages 153-163, October.
  37. 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.
  38. Chen, Ka-Hin & Lai, Tze Leung & Liu, Qingfu & Wang, Chuanjie, 2022. "Beyond the blockchain announcement: Signaling credibility and market reaction," International Review of Financial Analysis, Elsevier, vol. 82(C).
  39. Xiaoman, Jin & Qing, Li & Jun, Wang & Jingmei, Zhao, 2023. "Voice or noise? Repetitive information and stock performance," Finance Research Letters, Elsevier, vol. 52(C).
  40. Massimo Ferrari Minesso & Frederik Kurcz & Maria Sole Pagliari, 2022. "Do words hurt more than actions? The impact of trade tensions on financial markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1138-1159, September.
  41. Loughran, Tim & McDonald, Bill & Pragidis, Ioannis, 2019. "Assimilation of oil news into prices," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 105-118.
  42. Ye, Jing & Xue, Minggao, 2021. "Influences of sentiment from news articles on EU carbon prices," Energy Economics, Elsevier, vol. 101(C).
  43. Rongjiang Cai & Tao Lv & Cheng Wang & Nana Liu, 2023. "Can Environmental Information Disclosure Enhance Firm Value?—An Analysis Based on Textual Characteristics of Annual Reports," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
  44. Bassyouny, Hesham & Abdelfattah, Tarek & Tao, Lei, 2022. "Narrative disclosure tone: A review and areas for future research," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 49(C).
  45. Porshnev, Alexander V. & Lakshina, Valeriya V. & Redkin, Ilya E., 2016. "Using Emotional Markers' Frequencies in Stock Market ARMAX-GARCH Model," MPRA Paper 82875, University Library of Munich, Germany.
  46. 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.
  47. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
  48. Picault, Matthieu & Renault, Thomas, 2017. "Words are not all created equal: A new measure of ECB communication," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 136-156.
  49. 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.
  50. František Dařena & Jan Přichystal, 2018. "Analysis of the Association between Topics in Online Documents and Stock Price Movements," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(6), pages 1431-1439.
  51. Moreno Bernal, Ángel Iván & Pedraz, Carlos González, 2024. "Sentiment analysis of the Spanish financial stability Report," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 913-939.
  52. 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).
  53. Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023. "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, vol. 86(PA).
  54. 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.
  55. Ying Zhang & Jiehang Song & Angelo Sciacca & Jin Chan & Xiaoguang Qi, 2022. "Novel Sentiment Lexica Derived from User Generating Content by Chinese Tourists in Pacific Islands," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
  56. Roc'io Paredes & Marco Vega, 2020. "An internal fraud model for operational losses in retail banking," Papers 2002.03235, arXiv.org.
  57. Guidolin, Massimo & Pedio, Manuela, 2021. "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," Finance Research Letters, Elsevier, vol. 42(C).
  58. Fedorova, E. & Afanasev, D. & Nersesyan, R. & Ledyaeva, S., 2020. "Impact of non-financial information on key financial indicators of Russian companies," Journal of the New Economic Association, New Economic Association, vol. 46(2), pages 73-96.
  59. Patrick Houlihan & Germán G. Creamer, 2021. "Leveraging Social Media to Predict Continuation and Reversal in Asset Prices," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 433-453, February.
  60. Wasim Ahmad & Mohammad Arshad Rahman & Suruchi Shrimali & Preeti Roy, 2024. "Tuning into Climate Risks: Extracting Innovation from Television News for Clean Energy Firms," Papers 2409.08701, arXiv.org, revised Nov 2024.
  61. Yener Altunbaş & Salvatore Polizzi & Enzo Scannella & John Thornton, 2022. "European Banking Union and bank risk disclosure: the effects of the Single Supervisory Mechanism," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 649-683, February.
  62. Suchanek, Max, 2024. "Social interactions in short squeeze scenarios," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 898-919.
  63. Eachempati, Prajwal & Srivastava, Praveen Ranjan & Kumar, Ajay & Tan, Kim Hua & Gupta, Shivam, 2021. "Validating the impact of accounting disclosures on stock market: A deep neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
  64. 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.
  65. 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.
  66. 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.
  67. Muhammad Farhan Malik & Yuan George Shan & Jamie Yixing Tong, 2022. "Do auditors price litigious tone?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1715-1760, April.
  68. Bilal Hafeez & M. Humayun Kabir & Udomsak Wongchoti, 2022. "Are retail investors really passive? Shareholder activism in the digital age," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(3-4), pages 423-460, March.
  69. 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.
  70. Florian Röder & Andreas Walter, 2019. "What Drives Investment Flows Into Social Trading Portfolios?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(2), pages 383-411, July.
  71. Ardekani, Aref Mahdavi & Bertz, Julie & Bryce, Cormac & Dowling, Michael & Long, Suwan(Cheng), 2024. "FinSentGPT: A universal financial sentiment engine?," International Review of Financial Analysis, Elsevier, vol. 94(C).
  72. Gehan A. Mousa & Elsayed A. H. Elamir & Khaled Hussainey, 2022. "Using machine learning methods to predict financial performance: Does disclosure tone matter?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 19(1), pages 93-112, March.
  73. David William Witts & Emili Tortosa-Ausina & Iván Arribas, 2021. "The Irrational Market: Considering the effect of the online community Wall Street Bets on Financial Market Variables," Working Papers 2021/13, Economics Department, Universitat Jaume I, Castellón (Spain).
  74. 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.
  75. Zhongtian Li & Jing Jia & Larelle J. Chapple, 2022. "Textual characteristics of corporate sustainability disclosure and corporate sustainability performance: evidence from Australia," Meditari Accountancy Research, Emerald Group Publishing Limited, vol. 31(3), pages 786-816, February.
  76. Soumya Mukhopadhyay, 2018. "Opinion mining in management research: the state of the art and the way forward," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 221-250, June.
  77. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
  78. Runmei Luo & Yong Ye, 2024. "Pressure from words: The tone of investors in Chinese earnings communication conferences and managerial myopia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 833-868, March.
  79. Diego F. Téllez & Jesús M. Godoy, 2017. "Mission Power and Firm Financial Performance," Documentos de Trabajo de Valor Público 15655, Universidad EAFIT.
  80. 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).
  81. 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.
  82. 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.
  83. Iatridis, George Emmanuel & Pappas, Kostas & Walker, Martin, 2022. "Narrative disclosure quality and the timeliness of goodwill impairments," The British Accounting Review, Elsevier, vol. 54(2).
  84. Nicolò Fraccaroli & Alessandro Giovannini & Jean-François Jamet & Eric Persson, 2023. "Central Banks in Parliaments: A Text Analysis of the Parliamentary Hearings of the Bank of England, the European Central Bank, and the Federal Reserve," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 543-600, June.
  85. Pedro Manuel Nogueira Reis & Carlos Pinho, 2021. "A Reappraisal of the Causal Relationship between Sentiment Proxies and Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 420-442, October.
  86. Benjamin Segal & Dan Segal, 2016. "Are managers strategic in reporting non-earnings news? Evidence on timing and news bundling," Review of Accounting Studies, Springer, vol. 21(4), pages 1203-1244, December.
  87. Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022. "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Digital Finance, Springer, vol. 4(1), pages 17-61, March.
  88. Maciej Wujec, 2021. "Analysis of the Financial Information Contained in the Texts of Current Reports: A Deep Learning Approach," JRFM, MDPI, vol. 14(12), pages 1-17, December.
  89. Katsafados, Apostolos G. & Androutsopoulos, Ion & Chalkidis, Ilias & Fergadiotis, Manos & Leledakis, George N. & Pyrgiotakis, Emmanouil G., 2020. "Textual Information and IPO Underpricing: A Machine Learning Approach," MPRA Paper 103813, University Library of Munich, Germany.
  90. Xuefan, Pan, 2023. "Analysing the response of U.S. financial market to the Federal Open Market Committee statements and minutes based on computational linguistic approaches," Warwick-Monash Economics Student Papers 43, Warwick Monash Economics Student Papers.
  91. Ali Ataullah & Andrew Vivian & Bin Xu, 2018. "Optimistic Disclosure Tone and Conservative Debt Policy," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 445-484, December.
  92. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
  93. Vasile MAZILESCU & Adrian MICU, 2019. "Technologies that through Synergic Development can support the Intelligent Automation of Business Processes," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 91-100.
  94. Apostolos G. Katsafados & Dimitris Anastasiou, 2024. "Short-term prediction of bank deposit flows: do textual features matter?," Annals of Operations Research, Springer, vol. 338(2), pages 947-972, July.
  95. Slapnik, Ursula & Lončarski, Igor, 2021. "On the information content of sovereign credit rating reports: Improving the predictability of rating transitions☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
  96. Hamza Bennani, 2016. "Media Coverage and ECB Policy-Making: Evidence from a New Index," Working Papers hal-04141572, HAL.
  97. Gadat, Sébastien & Villeneuve, Stéphane, 2023. "Parsimonious Wasserstein Text-mining," TSE Working Papers 23-1471, Toulouse School of Economics (TSE).
  98. Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2022. "How does scientific progress affect cultural changes? A digital text analysis," Journal of Economic Growth, Springer, vol. 27(3), pages 415-452, September.
  99. Anastasiou, Dimitrios & Katsafados, Apostolos G., 2020. "Bank Deposits Flows and Textual Sentiment: When an ECB President's speech is not just a speech," MPRA Paper 99729, University Library of Munich, Germany.
  100. Andrew Todd & James Bowden & Yashar Moshfeghi, 2024. "Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(1), March.
  101. Ankit Jain & Hariom Manchiraju & Shyam V. Sunder, 2023. "Institutional ownership and the informativeness of disclosure tone," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(1-2), pages 61-90, January.
  102. Hamza Bennani, 2016. "Media Coverage and ECB Policy-Making: Evidence from a New Index," EconomiX Working Papers 2016-38, University of Paris Nanterre, EconomiX.
  103. 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.
  104. Ángel Iván Moreno Bernal & Carlos González Pedraz, 2020. "Sentiment analysis of the Spanish Financial Stability Report," Working Papers 2011, Banco de España.
  105. Luminita Enache & Hila Fogel‐Yaari & Heather Li, 2022. "Signalling long‐term focus through textual emphasis on innovation: are firms putting their money where their mouth is?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3791-3836, September.
  106. Rong Liu & Jujun Huang & Zhongju Zhang, 2023. "Tracking disclosure change trajectories for financial fraud detection," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 584-602, February.
  107. Hajek, Petr & Hikkerova, Lubica & Sahut, Jean-Michel, 2023. "How well do investor sentiment and ensemble learning predict Bitcoin prices?," Research in International Business and Finance, Elsevier, vol. 64(C).
  108. Rob Bauer & Dirk Broeders & Annick van Ool, 2023. "Walk the green talk? A textual analysis of pension funds’ disclosures of sustainable investing," Working Papers 770, DNB.
  109. Weiguo Zhang & Xue Gong & Chao Wang & Xin Ye, 2021. "Predicting stock market volatility based on textual sentiment: A nonlinear analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1479-1500, December.
  110. 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.
  111. Filip, Angela Maria & Pochea, Maria Miruna, 2023. "Intentional and spurious herding behavior: A sentiment driven analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
  112. Beckert, Jens & Arndt, H. Lukas R., 2024. "The Greek tragedy: Narratives and imagined futures in the Greek sovereign debt crisis," MPIfG Discussion Paper 24/4, Max Planck Institute for the Study of Societies.
  113. Saadon, Yossi & Schreiber, Ben Z., 2023. "Newspapers tone and the overnight-intraday stock return anomaly," Journal of Financial Markets, Elsevier, vol. 65(C).
  114. Kumar, Rahul & Deb, Soumya Guha & Mukherjee, Shubhadeep, 2020. "Do words reveal the latent truth? Identifying communication patterns of corporate losers," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
  115. Sourav Medya & Mohammad Rasoolinejad & Yang Yang & Brian Uzzi, 2022. "An Exploratory Study of Stock Price Movements from Earnings Calls," Papers 2203.12460, arXiv.org.
  116. Carlini, Federico & Cucinelli, Doriana & Previtali, Daniele & Soana, Maria Gaia, 2020. "Don't talk too bad! stock market reactions to bank corporate governance news," Journal of Banking & Finance, Elsevier, vol. 121(C).
  117. Michael Lachanski & Steven Pav, 2017. "Shy of the Character Limit: "Twitter Mood Predicts the Stock Market" Revisited," Econ Journal Watch, Econ Journal Watch, vol. 14(3), pages 302–345-3, September.
  118. Wehrheim, Lino, 2021. "The sound of silence: On the (in)visibility of economists in the media," Working Papers 30, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  119. Cervantes, Paula & Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2022. "The impact of COVID-19 induced panic on stock market returns: A two-year experience," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 1075-1097.
  120. Hou, Xiaohui & Zhao, Jingwen, 2024. "Impact of regulating political connections on employee welfare attitude: Evidence from China," Journal of Asian Economics, Elsevier, vol. 93(C).
  121. Kearney, Colm, 2012. "Emerging markets research: Trends, issues and future directions," Emerging Markets Review, Elsevier, vol. 13(2), pages 159-183.
  122. Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
  123. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
  124. 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.
  125. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  126. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
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  128. Mosi Rosenboim & Yossi Saadon & Ben Z. Schreiber, 2018. "“Much Ado about Nothing”? The Effect of Print Media Tone on Stock Indices," Bank of Israel Working Papers 2018.10, Bank of Israel.
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