IDEAS home Printed from https://ideas.repec.org/r/eee/jfinec/v144y2022i1p273-297.html

A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wei, Mingye & Zhang, Min & Wei, Lu & Chen, Meiqi, 2025. "IPOhelper: Mining features in registration statements for listing prediction of technological innovation companies," Emerging Markets Review, Elsevier, vol. 68(C).
  2. Ren, Tingting & Li, Shaofang, 2025. "Stock market forecasting based on machine learning: The role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).
  3. Yun Liu & Dengshi Huang & Jianan Zhou & Sirui Wang, 2024. "Does image sentiment of major public emergency affect the stock market performance? New insight from deep learning techniques," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 4447-4472, December.
  4. Xu, Zhiwei & Gan, Shiqi & Hua, Xia & Xiong, Yujie, 2024. "Can the sentiment of the official media predict the return volatility of the Chinese crude oil futures?," Energy Economics, Elsevier, vol. 140(C).
  5. Long, Huaigang & Chiah, Mardy & Zaremba, Adam & Umar, Zaghum, 2024. "Changes in shares outstanding and country stock returns around the world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
  6. Diego Pitta Jesus & Elvira Helena Oliveira Medeiros & Lucas Lúcio Godeiro & Andressa Lemes Proque, 2025. "Forecasting Brazilian Stock Market Using Sentiment Indices from Textual Data, Chat-GPT-Based and Technical Indicators," Computational Economics, Springer;Society for Computational Economics, vol. 66(5), pages 3735-3780, November.
  7. Sudarshan Kumar & Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2023. "Harvesting the volatility smile in a large emerging market: A Dynamic Nelson–Siegel approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1615-1644, November.
  8. Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
  9. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joëlle & Zhao, Nan, 2025. "Newswire tone-overlay commodity portfolios," Journal of Banking & Finance, Elsevier, vol. 178(C).
  10. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  11. Gu, Ming & Hirshleifer, David & Teoh, Siew Hong & Wu, Shijia, 2025. "GIFfluence: A Visual Approach to Investor Sentiment and the Stock Market," MPRA Paper 127438, University Library of Munich, Germany.
  12. Yousaf, Imran & Bejaoui, Azza & Ali, Shoaib & Li, Yanshuang, 2024. "Demystifying the dynamic relationship between news sentiment index and ESG stocks: Evidence from time-frequency wavelet analysis," International Review of Financial Analysis, Elsevier, vol. 96(PB).
  13. Liu, Funing & Zhang, Xiaolin, 2025. "Multi-media textual information, COVID-19 sentiment and bond spread," Research in International Business and Finance, Elsevier, vol. 74(C).
  14. Mubeen Abdur Rehman & Saeed Ahmad Sabir & Muhammad Zahid Javed & Haider Mahmood, 2024. "The Connectedness Knowledge from Investors’ Sentiments, Financial Crises, and Trade Policy: An Economic Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 20038-20062, December.
  15. Xu, Zhiwei & Hua, Xia & Zhang, Teng, 2025. "Does official media sentiment matter for the stock market? Evidence from China," Emerging Markets Review, Elsevier, vol. 64(C).
  16. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
  17. Penaranda, Francisco & Sentana, Enrique, 2024. "Portfolio management with big data," CEPR Discussion Papers 19314, Centre for Economic Policy Research.
  18. Gaoshan Wang & Xiaomin Wang, 2025. "The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2679-2706, May.
  19. Moretti, Angelo & Santi, Caterina, 2025. "Worries about energy security and stock returns," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
  20. Santi, Caterina, 2023. "Investor climate sentiment and financial markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
  21. Ming Gu & David Hirshleifer & Siew Hong Teoh & Shijia Wu, 2025. "GIFfluence: A Visual Approach to Investor Sentiment and the Stock Market," Papers 2512.20027, arXiv.org.
  22. Chen, Xinxin & Guo, Yanhong & Song, Yingying, 2024. "Multiple time scales investor sentiment impact the stock market index fluctuation: From margin trading business perspective," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
  23. Yong Ma & Lu Yan & Dongtao Pan, 2024. "The power of news data in forecasting tail risk: evidence from China," Empirical Economics, Springer, vol. 67(6), pages 2607-2642, December.
  24. Lin Ren & Yingyue Sun & Deping Xiong & Yu Wei, 2025. "Evaluating the Impact of Private and Public Sentiments on the Linkage Between Gold and Stock Markets: Evidence from China," Evaluation Review, , vol. 49(4), pages 739-772, August.
  25. Albrecht, Disen Huang & Anantharaman, Divya & Zhao, Keyi, 2025. "Is a picture worth a thousand words? Image usage in ESG reports," Accounting, Organizations and Society, Elsevier, vol. 115(C).
  26. Wagner, Moritz & Wei, Xiaopeng, 2024. "Ambiguous investor sentiment," Finance Research Letters, Elsevier, vol. 67(PA).
  27. Zhang, Cheng & Gao, Bin & Xu, Xiangrong & Qin, Mimi, 2025. "MFA RPC news sentiment and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
  28. Yunchuan Sun & Lu Liu & Ying Xu & Xiaoping Zeng & Yufeng Shi & Haifeng Hu & Jie Jiang & Ajith Abraham, 2024. "Alternative data in finance and business: emerging applications and theory analysis (review)," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
  29. Guan, Keqin & Gong, Xu, 2023. "A new hybrid deep learning model for monthly oil prices forecasting," Energy Economics, Elsevier, vol. 128(C).
  30. Shuaiyu Chen & T. Clifton Green & Huseyin Gulen & Dexin Zhou, 2024. "What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts," Papers 2409.11540, arXiv.org.
  31. Yang ZHANG & Ziang QIU Ziang & Donghyun PARK & Shu TIAN, 2026. "Role of Artificial Intelligence in Finance: Selective Literature Review and Implications for Asia's Financial Stability," Working Papers wp61, South East Asian Central Banks (SEACEN) Research and Training Centre, revised Feb 2026.
  32. Khaled Mokni & Sami Ben Jabeur & Hela Nammouri & Foued Saâdaoui, 2025. "Clean Energy Markets: Responses to Emerging Risks and Investor Behaviour," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 3535-3552, October.
  33. Shima Amini & Sofia Johan & Eilnaz Kashefi-Pour & Abdulkadir Mohamed, 2025. "Climate change risk, investor sentiment, and the performance of new entrant firms," Small Business Economics, Springer, vol. 65(4), pages 2539-2566, December.
  34. Tianxiang Hao & Qingfu Liu & Deyu Miao & Yiuman Tse, 2025. "Predicting Commodity Returns Through Image‐Based Price Patterns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(12), pages 2434-2456, December.
  35. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
  36. Hadhri, Sinda, 2023. "Do cryptocurrencies feel the music?," International Review of Financial Analysis, Elsevier, vol. 89(C).
  37. Ronen, Joshua & Ronen, Tavy & Zhou, Mi (Jamie) & Gans, Susan E., 2023. "The informational role of imagery in financial decision making: A new approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 40(C).
  38. Smales, Lee A., 2026. "When news travels: The role of sentiment in CME Nikkei futures returns," Research in International Business and Finance, Elsevier, vol. 81(C).
  39. Mokni, Khaled & Nammouri, Hela & Dhaoui, Chedia & Ben Jabeur, Sami, 2025. "Is a picture really worth a thousand words? Investigating the impact of investor sentiment on sustainable stocks," Finance Research Letters, Elsevier, vol. 81(C).
  40. Liu, Dan, 2025. "Seeing is believing: Forecasting oil market returns with artificial intelligence-powered visual climate change perception," Global Finance Journal, Elsevier, vol. 68(C).
  41. Xiaofeng Quan & Cheng Xiang & Donghui Li & Kelvin Jui Keng Tan, 2023. "To see is to believe: Corporate site visits and mutual fund herding," Financial Management, Financial Management Association International, vol. 52(4), pages 711-740, December.
  42. Sun, Chuanwang & Wu, Boyu, 2024. "Closer economic distance makes positive carbon-related attitude: Evidence from the mechanism of sentiment tendency in worldwide news coverage of India," Energy Policy, Elsevier, vol. 185(C).
  43. Sourav Prasad & Sabyasachi Mohapatra & Molla Ramizur Rahman & Amit Puniyani, 2022. "Investor Sentiment Index: A Systematic Review," IJFS, MDPI, vol. 11(1), pages 1-27, December.
  44. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  45. Mestiri, Sami, 2023. "How to use machine learning in finance," MPRA Paper 120045, University Library of Munich, Germany.
  46. Yuan, Ying & Qu, Yong & Wang, Tianyang, 2025. "Predicting risk premiums: A constraint-based model," Journal of Empirical Finance, Elsevier, vol. 83(C).
  47. Hua, Xia & Dong, Dairui & Xu, Zhiwei & Huang, Wentao, 2025. "Official media sentiments toward energy and equity returns: Evidence from China," Energy, Elsevier, vol. 340(C).
  48. Gao, Xiang & Koedijk, Kees & Walther, Thomas & Wang, Zhan, 2025. "Relative investor sentiment," International Review of Economics & Finance, Elsevier, vol. 100(C).
  49. Enmao Liu & Cong Sui, 2026. "Does Sentiment Measured Through Language Models Encompass a Broader Expanse of Information From the Options Market?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(3), pages 489-510, March.
  50. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
  51. Yang, Jie & Niu, Yanfang & Shi, Wenlei & Zhu, Kanghuan, 2025. "Predicting ESG disclosure quality through board secretaries' characteristics: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 76(C).
  52. Xu, Zhiwei & Li, Jiaqi & Hua, Xia & Ren, Pengyue, 2024. "Is the tone of the government-controlled media valuable for capital market? Evidence from China's new energy industry," Energy Policy, Elsevier, vol. 184(C).
  53. Cheng, Huifang & Cao, An & Hong, Chenxiang & Liu, Dengao & Wang, Mengying, 2025. "Can green investors improve the quality of corporate environmental information disclosure?," International Review of Economics & Finance, Elsevier, vol. 98(C).
  54. John Hua Fan & Sebastian Binnewies & Sanuri De Silva, 2023. "Wisdom of crowds and commodity pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1040-1068, August.
  55. Zhang, Junhuan & Zhang, Ziyan & Wen, Jiaqi, 2025. "A multifactor model using large language models and multimodal investor sentiment," International Review of Economics & Finance, Elsevier, vol. 102(C).
  56. Mohammad Arief Rajendra & Sekar Utami Setiastuti, 2023. "Climate Policy Uncertainty and the Demand for Renewable Energy in the United States of America: Evidence from a Non-Linear Threshold Autoregressive Model," Gadjah Mada Economics Working Paper Series 202312012, Department of Economics, Faculty of Economics and Business, Universitas Gadjah Mada.
  57. 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).
  58. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).
  59. Zhang, Xincheng, 2024. "Country-level energy-related uncertainties and stock market returns: Insights from the U.S. and China," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
  60. Li, Zijun & Ma, Feng & Zhang, Jixiang & Zhou, Xiaozhou, 2025. "The financial risk concern in China: A powerful predictor of stock market volatility," Research in International Business and Finance, Elsevier, vol. 80(C).
  61. Huynh, Nhan & Phan, Hoa, 2023. "Emotions in the crypto market: Do photos really speak?," Finance Research Letters, Elsevier, vol. 55(PB).
  62. Mestiri, Sami, 2024. "Financial applications of machine learning using R software," MPRA Paper 119998, University Library of Munich, Germany.
  63. Lee, Geul & Ryu, Doojin, 2024. "Investor sentiment or information content? A simple test for investor sentiment proxies," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.