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Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach

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Cited by:

  1. Jin, Han & Mazouz, Khelifa & Wu, Yuliang & Xu, Bin, 2023. "Can star analysts make superior coverage decisions in poor information environment?," Journal of Banking & Finance, Elsevier, vol. 146(C).
  2. Levy, Daniel & Mayer, Tamir & Raviv, Alon, 2022. "Economists in the 2008 financial crisis: Slow to see, fast to act," Journal of Financial Stability, Elsevier, vol. 60(C).
  3. Thewissen, James & Shrestha, Prabal & Torsin, Wouter & Pastwa, Anna M., 2022. "Unpacking the black box of ICO white papers: A topic modeling approach," Journal of Corporate Finance, Elsevier, vol. 75(C).
  4. Pratima (Tima) Bansal & Jury Gualandris & Nahyun Kim, 2020. "Theorizing Supply Chains with Qualitative Big Data and Topic Modeling," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(2), pages 7-18, April.
  5. Dimitrios Kydros & Michail Pazarskis & Athanasia Karakitsiou, 2022. "A framework for identifying the falsified financial statements using network textual analysis: a general model and the Greek example," Annals of Operations Research, Springer, vol. 316(1), pages 513-527, September.
  6. Chunying Zhang & Xiaohui Wu, 2023. "Analyst Coverage and Corporate ESG Performance," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
  7. Yash Raj Shrestha & Vivianna Fang He & Phanish Puranam & Georg von Krogh, 2021. "Algorithm Supported Induction for Building Theory: How Can We Use Prediction Models to Theorize?," Organization Science, INFORMS, vol. 32(3), pages 856-880, May.
  8. Arianna Marchetti & Phanish Puranam, 2022. "Organizational cultural strength as the negative cross-entropy of mindshare: a measure based on descriptive text," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
  9. Rey, Hélène & Jamilov, Rustam & Tahoun, Ahmed, 2021. "The Anatomy of Cyber Risk," CEPR Discussion Papers 16217, C.E.P.R. Discussion Papers.
  10. Ma, Tingting & Zhou, Xiao & Liu, Jia & Lou, Zhenkai & Hua, Zhaoting & Wang, Ruitao, 2021. "Combining topic modeling and SAO semantic analysis to identify technological opportunities of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  11. Lian, Ying & Dong, Xuefan, 2021. "Exploring social media usage in improving public perception on workplace violence against healthcare workers," Technology in Society, Elsevier, vol. 65(C).
  12. Schnaubelt, Matthias & Fischer, Thomas G. & Krauss, Christopher, 2020. "Separating the signal from the noise – Financial machine learning for Twitter," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
  13. Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022. "Hot off the press: News-implied sovereign default risk," EIB Working Papers 2022/06, European Investment Bank (EIB).
  14. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
  15. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  16. Pastwa, Anna M. & Shrestha, Prabal & Thewissen, James & Torsin, Wouter, 2021. "Unpacking the black box of ICO white papers: a topic modeling approach," LIDAM Discussion Papers LFIN 2021018, Université catholique de Louvain, Louvain Finance (LFIN).
  17. Jiang, Cuiqing & Lyu, Ximei & Yuan, Yufei & Wang, Zhao & Ding, Yong, 2022. "Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1086-1099.
  18. Peter M. Clarkson & Jordan Ponn & Gordon D. Richardson & Frank Rudzicz & Albert Tsang & Jingjing Wang, 2020. "A Textual Analysis of US Corporate Social Responsibility Reports," Abacus, Accounting Foundation, University of Sydney, vol. 56(1), pages 3-34, March.
  19. Shen, Lingbo, 2022. "Essays on behavioral finance and corporate finance," Other publications TiSEM a9b98a25-a208-4ba6-9344-9, Tilburg University, School of Economics and Management.
  20. D'Acunto, Francesco & Xie, Jin & Yao, Jiaquan, 2022. "Trust and contracts: Empirical evidence," LawFin Working Paper Series 32, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
  21. Gao, Zhan & Quan, Xiaofeng & Xu, Xingmei, 2022. "Under watchful eyes: Analyst site visits and firm earnings management," International Review of Financial Analysis, Elsevier, vol. 83(C).
  22. Shengsheng Xiao & Yi‐Chun (Chad) Ho & Hai Che, 2021. "Building the Momentum: Information Disclosure and Herding in Online Crowdfunding," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3213-3230, September.
  23. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 369-385, January.
  24. Hongshu Chen & Xinna Song & Qianqian Jin & Ximeng Wang, 2022. "Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6637-6660, November.
  25. Zacharias Sautner & Laurence Van Lent & Grigory Vilkov & Ruishen Zhang, 2023. "Firm‐Level Climate Change Exposure," Journal of Finance, American Finance Association, vol. 78(3), pages 1449-1498, June.
  26. Du, Qianqian & Su, Wanxuan & Liang, Dawei & Wang, Luying, 2023. "How does green preference impact sustainability-based investment strategy? Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 124(C).
  27. 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.
  28. El Ghoul, Sadok & Guedhami, Omrane & Wei, Zuobao & Zhu, Yicheng, 2023. "Does public corruption affect analyst forecast quality?," Journal of Banking & Finance, Elsevier, vol. 154(C).
  29. Justin Birru & Sinan Gokkaya & Xi Liu & René M. Stulz, 2022. "Are Analyst Short‐Term Trade Ideas Valuable?," Journal of Finance, American Finance Association, vol. 77(3), pages 1829-1875, June.
  30. Allee, Kristian D. & Do, Chuong & Sterin, Mikhail, 2021. "Product market competition, disclosure framing, and casting in earnings conference calls," Journal of Accounting and Economics, Elsevier, vol. 72(1).
  31. Peng-Chia Chiu & Ben Lourie & Alexander Nekrasov & Siew Hong Teoh, 2021. "Cater to Thy Client: Analyst Responsiveness to Institutional Investor Attention," Management Science, INFORMS, vol. 67(12), pages 7455-7471, December.
  32. Nerissa C. Brown & Richard M. Crowley & W. Brooke Elliott, 2020. "What Are You Saying? Using topic to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 58(1), pages 237-291, March.
  33. Andreou, Christoforos K. & Andreou, Panayiotis C. & Lambertides, Neophytos, 2021. "Financial distress risk and stock price crashes," Journal of Corporate Finance, Elsevier, vol. 67(C).
  34. John Donovan & Jared Jennings & Kevin Koharki & Joshua Lee, 2021. "Measuring credit risk using qualitative disclosure," Review of Accounting Studies, Springer, vol. 26(2), pages 815-863, June.
  35. Huang, Allen H. & Lin, An-Ping & Zang, Amy Y., 2022. "Cross-industry information sharing among colleagues and analyst research," Journal of Accounting and Economics, Elsevier, vol. 74(1).
  36. Judson Caskey & Kanyuan Huang & Daniel Saavedra, 2023. "Noncompliance with SEC regulations: evidence from timely loan disclosures," Review of Accounting Studies, Springer, vol. 28(1), pages 126-163, March.
  37. 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.
  38. Han Jiang & Zhiyi Wang & Lusi Yang & Jia Shen & Jungpil Hahn, 2021. "How Rewarding Are Your Rewards? A Value-Based View of Crowdfunding Rewards and Crowdfunding Performance," Entrepreneurship Theory and Practice, , vol. 45(3), pages 562-599, May.
  39. Hung, Shih-Chang & Chang, Shu-Chen, 2023. "Framing the virus: The political, economic, biomedical and social understandings of the COVID-19 in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  40. Shiliang Hu & Wenhao Dong & Yongchun Huang, 2023. "Analysts’ Green Coverage and Corporate Green Innovation in China: The Moderating Effect of Corporate Environmental Information Disclosure," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
  41. Li, Wanyun, 2022. "Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts," International Journal of Accounting Information Systems, Elsevier, vol. 44(C).
  42. Kyungin Ryu, 2023. "The importance of language: A comparison of consumer and academic definitions of mindfulness," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(2), pages 943-971, April.
  43. James P. Ryans, 2021. "Textual classification of SEC comment letters," Review of Accounting Studies, Springer, vol. 26(1), pages 37-80, March.
  44. Cheng, Sirui & Hua, Xiuping & Wang, Qingfeng, 2023. "Corporate culture and firm resilience in China: Evidence from the Sino-US trade war," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
  45. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
  46. Richard Frankel & Jared Jennings & Joshua Lee, 2022. "Disclosure Sentiment: Machine Learning vs. Dictionary Methods," Management Science, INFORMS, vol. 68(7), pages 5514-5532, July.
  47. Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
  48. Peng Liang & Hasan Cavusoglu & Nan Hu, 2023. "Customers’ managerial expectations and suppliers’ asymmetric cost management," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1975-1993, June.
  49. Kun Chen & Xin Li & Peng Luo & J. Leon Zhao, 2021. "News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value," Information Systems Research, INFORMS, vol. 32(2), pages 356-377, June.
  50. Hitoshi Iwasaki & Ying Chen & Jun Tu, 2023. "Topic tones of analyst reports and stock returns: A deep learning approach," International Review of Finance, International Review of Finance Ltd., vol. 23(4), pages 831-858, December.
  51. Mansouri, Sasan, 2021. "Does firm's silence drive media's attention away?," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242433, Verein für Socialpolitik / German Economic Association.
  52. Daniel Borup & Jorge Wolfgang Hansen & Benjamin Dybro Liengaard & Erik Christian Montes Schütte, 2023. "Quantifying investor narratives and their role during COVID‐19," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 512-532, June.
  53. Rennekamp, Kristina M. & Sethuraman, Mani & Steenhoven, Blake A., 2022. "Engagement in earnings conference calls," Journal of Accounting and Economics, Elsevier, vol. 74(1).
  54. Simona Fiandrino & Alberto Tonelli, 2021. "A Text-Mining Analysis on the Review of the Non-Financial Reporting Directive: Bringing Value Creation for Stakeholders into Accounting," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
  55. Berkin, Anil & Aerts, Walter & Van Caneghem, Tom, 2023. "Feasibility analysis of machine learning for performance-related attributional statements," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
  56. Liang, Dawei & Pan, Yukun & Du, Qianqian & Zhu, Ling, 2022. "The information content of analysts’ textual reports and stock returns: Evidence from China," Finance Research Letters, Elsevier, vol. 46(PB).
  57. Francesco D'Acunto & Jin Xie & Jiaquan Yao, 2020. "Trust and Contracts: Empirical Evidence," CESifo Working Paper Series 8714, CESifo.
  58. Pal Singh, Satender & Adhikari, Arnab & Majumdar, Adrija & Bisi, Arnab, 2022. "Does service quality influence operational and financial performance of third party logistics service providers? A mixed multi criteria decision making -text mining-based investigation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
  59. Du, Mengqiao, 2023. "Locked-in at home: The gender difference in analyst forecasts after the COVID-19 school closures," Journal of Accounting and Economics, Elsevier, vol. 76(1).
  60. Fiorillo, Paolo & Meles, Antonio & Pellegrino, Luigi Raffaele & Verdoliva, Vincenzo, 2023. "Geopolitical risk and stock liquidity," Finance Research Letters, Elsevier, vol. 54(C).
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