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Found 4 papers, 2 papers with code
Industry Classification Using a Novel Financial Time-Series Case Representation
We discuss why time-series data can present some significant representational challenges for conventional case-based reasoning approaches, and in response, we propose a novel representation based on stock returns embeddings, which can be readily calculated from raw stock returns data.
A Multimodal Embedding-Based Approach to Industry Classification in Financial Markets
Industry classification schemes provide a taxonomy for segmenting companies based on their business activities.
Stock Embeddings: Learning Distributed Representations for Financial Assets
Identifying meaningful relationships between the price movements of financial assets is a challenging but important problem in a variety of financial applications.
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
Forecasting stock returns is a challenging problem due to the highly stochastic nature of the market and the vast array of factors and events that can influence trading volume and prices.
