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A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news
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- 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.
- Hadhri, Sinda, 2023. "Do cryptocurrencies feel the music?," International Review of Financial Analysis, Elsevier, vol. 89(C).
- 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).
- 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).
- 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.
- 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).
- 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.
- 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.
- 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).
- 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.
- 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.
- Francisco Peñaranda & Enrique Sentana, 2024.
"Portfolio management with big data,"
Working Papers
wp2024_2411, CEMFI.
- Penaranda, Francisco & Sentana, Enrique, 2024. "Portfolio management with big data," CEPR Discussion Papers 19314, C.E.P.R. Discussion Papers.
- Mestiri, Sami, 2023. "How to use machine learning in finance," MPRA Paper 120045, University Library of Munich, Germany.
- Santi, Caterina, 2023. "Investor climate sentiment and financial markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
- 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).
- Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
- 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.
- 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).
- 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.
- 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.
- 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).
- Guan, Keqin & Gong, Xu, 2023. "A new hybrid deep learning model for monthly oil prices forecasting," Energy Economics, Elsevier, vol. 128(C).
- Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).
- 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).
- Huynh, Nhan & Phan, Hoa, 2023. "Emotions in the crypto market: Do photos really speak?," Finance Research Letters, Elsevier, vol. 55(PB).
- Mestiri, Sami, 2024. "Financial applications of machine learning using R software," MPRA Paper 119998, University Library of Munich, Germany.
- 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.
- 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).