SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A neural-network-based nonlinear metamodeling approach to financial time series forecasting
6 references·16 citing·52 second hop
A neural-network-based nonlinear metamodeling approach to financial time series forecasting (2008)A neural-network-based nonlinear metamode…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks (2001)An Empirical Analysis of Data…A case study on using neural networks to perform technical forecasting of forex (2000)A case study on using neural …Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (1994)Trading on the Edge: Neural, …“Chaos” in futures markets? A nonlinear dynamical analysis (1991)“Chaos” in futures markets? A…Measuring the Strangeness of Gold and Silver Rates of Return (1989)Measuring the Strangeness of …Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images (2022)Forecasting turning points in…Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model (2022)Analysis of market efficiency…Predicting Stock Price Using Two-Stage Machine Learning Techniques (2020)Predicting Stock Price Using …A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points (2019)A new approach of integrating…Support vector regression with modified firefly algorithm for stock price forecasting (2018)Support vector regression wit…AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting (2018)AdaBoost-LSTM Ensemble Learni…A hybrid financial trading support system using multi-category classifiers and random forest (2018)A hybrid financial trading su…A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price (2017)A Hybrid Artificial Neural Ne…Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine (2016)Stock trend prediction based …A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA (2016)A comparison of time series a…Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices (2015)Artificial chemical reaction …A multiscale modeling approach incorporating ARIMA and anns for financial market volatility forecasting (2014)A multiscale modeling approac…Performance analysis of Indian stock market index using neural network time series model (2013)Performance analysis of India…Financial time series prediction by a random data-time effective RBF neural network (2013)Financial time series predict…New robust forecasting models for exchange rates prediction (2012)New robust forecasting models…Comparison of the finite mixture of ARMA-GARCH, back propagation neural networks and support-vector machines in forecasting financial returns (2010)Comparison of the finite mixt…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Testing for Nonlinear Dependence in Daily Foreign Exchange Rates (1989)Stock market prediction with multiple classifiers (2006)Modelling Financial Time Series (2007)A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Asset Prices in an Exchange Economy (1978)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Uncovering Nonlinear Structure In Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100 (1997)Forecasting Nonlinear Crude Oil Futures Prices (2006)Are gold and silver a hedge against inflation? A two century perspective (2015)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Introductory Econometrics for Finance (2008)Stock Price Prediction Using Artificial Neural Network (2014)Stock Price Prediction on Daily Stock Data using Deep Neural Networks (2018)VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)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)Generalized autoregressive conditional heteroskedasticity (1986)Nonlinear Dynamics and Stock Returns (1989)Persistence in Variance, Structural Change, and the GARCH Model (1990)Fractal structure in currency futures price dynamics (1994)Are oil markets chaotic? A non-linear dynamic analysis (2000)Chaos in oil prices? Evidence from futures markets (2001)Chaos and order in the capital markets (1991)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1) (2006)Machine learning in finance: A topic modeling approach (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Futures price prediction of agricultural products based on machine learning (2020)Ascertaining price formation in cryptocurrency markets with machine learning (2021)Stock Price Forecast Based on CNN-BiLSTM-ECA Model (2021)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Using artificial neural network models in stock market index prediction (2011)Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends (2019)Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics (2021)A quantum artificial neural network for stock closing price prediction (2022)The Efficient Market Hypothesis and Its Critics (2003)A Labeling Method for Financial Time Series Prediction Based on Trends (2020)Novel Stock Crisis Prediction Technique—A Study on Indian Stock Market (2021)Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting (2012)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)
this work references cited by second hop

References

  • 2000A case study on using neural networks to perform technical forecasting of forex398 cited
  • 1994Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets261 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 2001An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks238 cited
  • 1989Measuring the Strangeness of Gold and Silver Rates of Return190 cited
  • 1991“Chaos” in futures markets? A nonlinear dynamical analysis119 cited

Cited by

  • 2016Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine110 cited
  • 2018Support vector regression with modified firefly algorithm for stock price forecasting95 cited
  • 2017A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price88 cited
  • 2013Performance analysis of Indian stock market index using neural network time series model86 cited
  • 2018A hybrid financial trading support system using multi-category classifiers and random forest73 cited
  • 2019A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points69 cited
  • 2018AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting62 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images61 cited
  • 2016A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA59 cited
  • 2013Financial time series prediction by a random data-time effective RBF neural network57 cited
  • 2015Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices55 cited
  • 2020Predicting Stock Price Using Two-Stage Machine Learning Techniques53 cited
  • 2022Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model45 cited
  • 2014A multiscale modeling approach incorporating ARIMA and anns for financial market volatility forecasting44 cited
  • 2012New robust forecasting models for exchange rates prediction42 cited
  • 2010Comparison of the finite mixture of ARMA-GARCH, back propagation neural networks and support-vector machines in forecasting financial returns39 cited