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