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FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model
However, compared with financial institutions, it is not easy for ordinary investors to mine factors and analyze news.
Ranked #1 on
Stock Market Prediction
on Astock
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
The hierarchical VAE allows us to learn the complex and low-level latent variables for stock prediction, while the diffusion probabilistic model trains the predictor to handle stock price stochasticity by progressively adding random noise to the stock data.
MambaStock: Selective state space model for stock prediction
The stock market plays a pivotal role in economic development, yet its intricate volatility poses challenges for investors.
Computational Engineering, Finance, and Science Statistical Finance
Whats next? Forecasting scientific research trends
In this study, we predict future trends in scientific publications using heterogeneous sources, including historical publication time series from PubMed, research and review articles, pre-trained language models, and patents.
Digital Libraries Other Quantitative Biology
Private, Auditable, and Distributed Ledger for Financial Institutes
The key challenges for adoption of this technology in financial institutes are (a) the building of a privacy-preserving ledger, (b) supporting auditing and regulatory requirements, and (c) flexibility to adapt to complex use-cases with multiple digital assets and actors.
Cryptography and Security
Internet sentiment exacerbates intraday overtrading, evidence from A-Share market
Additionally, the effect of sentiment on overtrading is observed to be more pronounced among individual investors in large-cap stocks compared to small- and mid-cap stocks.
To Trust or Not to Trust: Evolutionary Dynamics of an Asymmetric N-player Trust Game
A generalisation of the TG to a multiplayer (i. e. more than two players) TG was recently proposed.
Physics and Society
Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction
We show the effectiveness of our method by conducting experiments on real market data.
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Due to the complex volatility of the stock market, the research and prediction on the change of the stock price, can avoid the risk for the investors.
Concentration in Governance Control Across Decentralised Finance Protocols
Blockchain-based systems are frequently governed through tokens that grant their holders voting rights over core protocol functions and funds.
Computational Engineering, Finance, and Science J.4; G.2.2; C.2.4
