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

Citations

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Cited by:

  1. 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).
  2. 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.
  3. 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).
  4. 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).
  5. 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.
  6. 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).
  7. 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.
  8. 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).
  9. 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).
  10. 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.
  11. 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).
  12. Francisco Peñaranda & Enrique Sentana, 2024. "Portfolio management with big data," Working Papers wp2024_2411, CEMFI.
  13. 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.
  14. 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.
  15. Santi, Caterina, 2023. "Investor climate sentiment and financial markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
  16. 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).
  17. 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.
  18. Wagner, Moritz & Wei, Xiaopeng, 2024. "Ambiguous investor sentiment," Finance Research Letters, Elsevier, vol. 67(PA).
  19. 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.
  20. Guan, Keqin & Gong, Xu, 2023. "A new hybrid deep learning model for monthly oil prices forecasting," Energy Economics, Elsevier, vol. 128(C).
  21. 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.
  22. 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.
  23. Hadhri, Sinda, 2023. "Do cryptocurrencies feel the music?," International Review of Financial Analysis, Elsevier, vol. 89(C).
  24. 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).
  25. 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.
  26. 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).
  27. 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.
  28. 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.
  29. Mestiri, Sami, 2023. "How to use machine learning in finance," MPRA Paper 120045, University Library of Munich, Germany.
  30. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
  31. 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).
  32. 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).
  33. 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).
  34. 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.
  35. 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.
  36. 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).
  37. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).
  38. 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).
  39. Huynh, Nhan & Phan, Hoa, 2023. "Emotions in the crypto market: Do photos really speak?," Finance Research Letters, Elsevier, vol. 55(PB).
  40. Mestiri, Sami, 2024. "Financial applications of machine learning using R software," MPRA Paper 119998, University Library of Munich, Germany.
  41. 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).
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