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A dynamic meta-learning rate-based model for gold market forecasting
7 references·7 citing·49 second hop
A dynamic meta-learning rate-based model for gold market forecasting (2011)A dynamic meta-learning rate-based model …Integrating independent component analysis-based denoising scheme with neural network for stock price prediction (2010)Integrating independent compo…An overview of global gold market and gold price forecasting (2010)An overview of global gold ma…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm (2007)Oil Price Forecasting with an…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…Forecasting S&P and gold futures prices: An application of neural networks (1993)Forecasting S&P and gold futu…A Novel Hybrid Model for Financial Forecasting Based on CEEMDAN-SE and ARIMA-CNN-LSTM (2024)A Novel Hybrid Model for Fina…A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction (2022)A novel hybrid model integrat…A multi-model fusion based non-ferrous metal price forecasting (2022)A multi-model fusion based no…Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer (2015)Time Series Forecasting of En…Dynamic relationships between spot and futures prices. The case of energy and gold commodities (2015)Dynamic relationships between…A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting (2015)A Hybrid Least Square Support…The performance of hybrid ARIMA-GARCH modeling in forecasting gold price (2013)The performance of hybrid ARI…Time series prediction: Forecasting the future and understanding the past (1994)A semiparametric approach to short-term oil price forecasting (2001)Daily prediction of short-term trends of crude oil prices using neural networks exploiting multimarket dynamics (2009)Optimizing the monthly crude oil price forecasting accuracy via bagging ensemble models (2015)Forecasting with artificial neural networks: (1998)The use of data mining and neural networks for forecasting stock market returns (2005)Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting (2012)Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction (2020)Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees (2021)THE PERFORMANCE OF MUTUAL FUNDS IN THE PERIOD 1945–1964 (1968)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Measuring the Strangeness of Gold and Silver Rates of Return (1989)Applications of Artificial Neural Networks in Financial Economics: A Survey (2010)Stock market value prediction using neural networks (2010)Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models (2014)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Contrarian Investment, Extrapolation, and Risk (1994)Financial time series forecasting using support vector machines (2003)Stock market trend prediction using AHP and weighted kernel LS-SVM (2016)A comprehensive decision support system for stock investment decisions (2022)News-driven stock market index prediction based on trellis network and sentiment attention mechanism (2024)The Combination of Forecasts (1969)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Bitcoin price forecasting with neuro-fuzzy techniques (2019)Hybrid structures in time series modeling and forecasting: A review (2019)The Behavior of Stock-Market Prices (1965)The Pricing of Options and Corporate Liabilities (1973)Theory of Rational Option Pricing (1973)Dynamics of global oil prices, exchange rate and precious metal prices in India (2012)Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model (2015)Hedging oil price risk with gold during COVID-19 pandemic (2020)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)Comparing Predictive Accuracy (1994)Statistical inference in vector autoregressions with possibly integrated processes (1995)Mild explosivity in recent crude oil prices (2019)Chapter 4 Forecast Combinations (2006)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)1D-CapsNet-LSTM: A deep learning-based model for multi-step stock index forecasting (2024)Predicting energy prices based on a novel hybrid machine learning: Comprehensive study of multi-step price forecasting (2024)
this work references cited by second hop

References

  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2010An overview of global gold market and gold price forecasting372 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 1993Forecasting S&P and gold futures prices: An application of neural networks175 cited
  • 2010Integrating independent component analysis-based denoising scheme with neural network for stock price prediction98 cited
  • 2007Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm53 cited

Cited by

  • 2015Dynamic relationships between spot and futures prices. The case of energy and gold commodities49 cited
  • 2015A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting40 cited
  • 2022A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction36 cited
  • 2022A multi-model fusion based non-ferrous metal price forecasting30 cited
  • 2013The performance of hybrid ARIMA-GARCH modeling in forecasting gold price28 cited
  • 2015Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer27 cited

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2024
A Novel Hybrid Model for Financial Forecasting Based on CEEMDAN-SE and ARIMA-CNN-LSTM
26 cited