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A Financial Time-Series Prediction Model Based on Multiplex Attention and Linear Transformer Structure
7 references·0 citing·38 second hop
A Financial Time-Series Prediction Model Based on Multiplex Attention and Linear Transformer Structure (2023)A Financial Time-Series Prediction Model …Multivariate CNN‐LSTM Model for Multiple Parallel Financial Time‐Series Prediction (2021)Multivariate CNN‐LSTM Model f…Forecasting of Realised Volatility with the Random Forests Algorithm (2018)Forecasting of Realised Volat…Financial time series forecasting model based on CEEMDAN and LSTM (2018)Financial time series forecas…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…The International Monetary Fund: A review of the recent evidence (2008)The International Monetary Fu…Dynamic Forecasts of Qualitative Variables (2004)Dynamic Forecasts of Qualitat…Financial time series forecasting using support vector machines (2003)Financial time series forecas…The federal funds rate and the channels of monetary transmission (1989)Interpreting the macroeconomic time series facts (1992)The Twin Crises: The Causes of Banking and Balance-of-Payments Problems (1999)Risk-Return Tradeoff in U.S. Stock Returns over the Business Cycle (2011)Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle (2015)Forecasting oil and stock returns with a Qual VAR using over 150 years off data (2017)Forecasting with artificial neural networks: (1998)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Who Gives Foreign Aid to Whom and Why? (2000)The Elusive Quest for Growth: Economists' Adventures and Misadventures in the Tropics (2002)The Scope of IMF Conditionality (2008)Global horse trading: IMF loans for votes in the United Nations Security Council (2009)Master or Servant? Common Agency and the Political Economy of IMF Lending (2010)Globalization and Its Discontents (2015)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting daily stock market return using dimensionality reduction (2016)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)The Pricing of Options and Corporate Liabilities (1973)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Forecasting realized volatility with machine learning: Panel data perspective (2023)Forecasting stock prices of fintech companies of India using random forest with high-frequency data (2023)Hybrid ML models for volatility prediction in financial risk management (2025)Application of support vector machines in financial time series forecasting (2001)Introduction to Time Series and Forecasting (2002)Forecasting Volatility in Financial Markets: A Review (2003)Stock price prediction using deep learning and frequency decomposition (2020)A graph-based CNN-LSTM stock price prediction algorithm with leading indicators (2021)Carbon price forecasting based on CEEMDAN and LSTM (2022)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)
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References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2018Financial time series forecasting model based on CEEMDAN and LSTM712 cited
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2008The International Monetary Fund: A review of the recent evidence217 cited
  • 2021Multivariate CNN‐LSTM Model for Multiple Parallel Financial Time‐Series Prediction136 cited
  • 2004Dynamic Forecasts of Qualitative Variables120 cited
  • 2018Forecasting of Realised Volatility with the Random Forests Algorithm57 cited

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