NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
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- David F. Larcker & Anastasia A. Zakolyukina, 2012.
"Detecting Deceptive Discussions in Conference Calls,"
Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
- Larcker, David F. & Zakolyukina, Anastasia A., 2010. "Detecting Deceptive Discussions in Conference Calls," Research Papers 2060, Stanford University, Graduate School of Business.
- Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2016.
"Exploiting the errors: A simple approach for improved volatility forecasting,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 1-18.
- Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2015. "Exploiting the Errors: A Simple Approach for Improved Volatility Forecasting," CREATES Research Papers 2015-14, Department of Economics and Business Economics, Aarhus University.
- Pitkäjärvi, Aleksi & Suominen, Matti & Vaittinen, Lauri, 2020. "Cross-asset signals and time series momentum," Journal of Financial Economics, Elsevier, vol. 136(1), pages 63-85.
- Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
- Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
- Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
- Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
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Cited by:
- Kelvin J. L. Koa & Yunshan Ma & Ritchie Ng & Tat-Seng Chua, 2023. "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction," Papers 2309.00073, arXiv.org, revised Oct 2023.
- Linyi Yang & Yingpeng Ma & Yue Zhang, 2023. "Measuring Consistency in Text-based Financial Forecasting Models," Papers 2305.08524, arXiv.org, revised Jun 2023.
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- Kabiri, Ali & James, Harold & Landon-Lane, John & Tuckett, David & Nyman, Rickard, 2021. "The role of sentiment in the economy: 1920 to 1934," LSE Research Online Documents on Economics 118889, London School of Economics and Political Science, LSE Library.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-01-17 (Big Data)
- NEP-CMP-2022-01-17 (Computational Economics)
- NEP-FOR-2022-01-17 (Forecasting)
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