Towards mapping the contemporary art world with ArtLM: an art-specific NLP model

no code implementations • 14 Dec 2022 • Qinkai Chen, Mohamed El-Mennaoui, Antoine Fosset, Amine Rebei, Haoyang Cao, Philine Bouscasse, Christy Eóin O'Beirne, Sasha Shevchenko, Mathieu Rosenbaum

With an increasing amount of data in the art world, discovering artists and artworks suitable to collectors' tastes becomes a challenge.

Multivariate Realized Volatility Forecasting with Graph Neural Network

no code implementations • 16 Dec 2021 • Qinkai Chen, Christian-Yann Robert

In this paper, we are interested in forecasting short-term realized volatility in a multivariate approach based on limit order book data and relational data.

Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data

no code implementations • 22 Jul 2021 • Qinkai Chen, Christian-Yann Robert

Predicting stock prices from textual information is a challenging task due to the uncertainty of the market and the difficulty understanding the natural language from a machine's perspective.

Stock Movement Prediction with Financial News using Contextualized Embedding from BERT

no code implementations • 19 Jul 2021 • Qinkai Chen

In this paper, we are interested in predicting the short-term movement of stock prices after financial news events using only the headlines of the news.