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Neural networks: Forecasting breakthrough or passing fad?
4 references·11 citing·46 second hop
Neural networks: Forecasting breakthrough or passing fad? (1993)Neural networks: Forecasting breakthrough…The principles and practice of time series forecasting and business modelling using neural nets (1993)The principles and practice o…Currency exchange rate prediction and neural network design strategies (1993)Currency exchange rate predic…Forecasting stock market prices: Lessons for forecasters (1992)Forecasting stock market pric…Forecasting Economic Time Series (1986)Forecasting Economic Time Ser…Disaggregation & aggregation of time series components: A hybrid forecasting approach using generalized regression neural networks and the theta method (2010)Disaggregation & aggregation …Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures (2008)Testing Forecast Accuracy of …Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches (2006)Forecasting with cue informat…Shelf space assigned to store and national brands (2005)Shelf space assigned to store…25 Years of Iif Time Series Forecasting: A Selective Review (2005)25 Years of Iif Time Series F…The accuracy of a procedural approach to specifying feedforward neural networks for forecasting (2004)The accuracy of a procedural …A simple neural network for ARMA(p,q) time series (2001)A simple neural network for A…Using change-point detection to support artificial neural networks for interest rates forecasting (2000)Using change-point detection …Using neural networks to identify competitive market structures from aggregate market response data (1998)Using neural networks to iden…Modelling market volatilities: the neural network perspective (1997)Modelling market volatilities…An empirical comparison of neural network and logistic regression models (1995)An empirical comparison of ne…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Stock market prediction system with modular neural networks (1990)A comparison between neural networks and chaotic models for exchange rate prediction (1999)Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques (2002)Soft computing hybrids for FOREX rate prediction: A comprehensive review (2018)Portfolio Theory and Capital Markets. (1972)Forecasting: Methods and Applications (1984)Forecasting methods and applications (1993)Residential property price time series forecasting with neural networks (2002)The use of artificial neural networks in the analysis and prediction of stock prices (2011)Neural Networks for Time-Series Forecasting (2012)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Comparing ANN Based Models with ARIMA for Prediction of Forex Rates (2003)ANN-Based Forecasting of Foreign Currency Exchange Rates (2004)Effects of a small‐scale, very short‐term service‐learning experience on college students (2005)Modeling the Decision to Add New Products by Channel Intermediaries (1989)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Determining the appropriate amount of data for classifying consumers for direct marketing purposes (2003)Demand Forecasting in Supply Chain Management Using Different Deep Learning Methods (2020)A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability (2022)A Non-Parametric Approach to the Change-Point Problem (1979)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (2002)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)The M3-Competition: results, conclusions and implications (2000)A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns (2006)The impact of preprocessing on support vector regression and neural networks in time series prediction (2006)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Does the Stock Market Overreact? (1985)Evaluating probabilistic forecasts of stock prices in a developing stock market (1994)Some international evidence regarding the stochastic memory of stock returns (1994)Nonlinearity, data-snooping, and stock index ETF return predictability (2009)The Combination of Forecasts (1969)Simple Heuristics That Make Us Smart (1999)Providing support for the use of analogies in demand forecasting tasks (2007)Forecasting of customer demands for production planning by local k -nearest neighbor models (2020)We need to talk about intermittent demand forecasting (2020)Forecasting the behavior of multivariate time series using neural networks (1992)The Effectiveness of Antiterrorism Policies: A Vector-Autoregression-Intervention Analysis (1993)Economic and statistical measures of forecast accuracy (2000)
this work references cited by second hop

References

  • 1986Forecasting Economic Time Series714 cited
  • 1992Forecasting stock market prices: Lessons for forecasters153 cited
  • 1993Currency exchange rate prediction and neural network design strategies135 cited
  • 1993The principles and practice of time series forecasting and business modelling using neural nets113 cited

Cited by

  • 2006Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches105 cited
  • 1995An empirical comparison of neural network and logistic regression models103 cited
  • 2001A simple neural network for ARMA(p,q) time series66 cited
  • 200525 Years of Iif Time Series Forecasting: A Selective Review61 cited
  • 2004The accuracy of a procedural approach to specifying feedforward neural networks for forecasting55 cited
  • 2000Using change-point detection to support artificial neural networks for interest rates forecasting49 cited
  • 2005Shelf space assigned to store and national brands45 cited
  • 2008Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures45 cited
  • 2010Disaggregation & aggregation of time series components: A hybrid forecasting approach using generalized regression neural networks and the theta method42 cited
  • 1997

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Modelling market volatilities: the neural network perspective
41 cited
  • 1998Using neural networks to identify competitive market structures from aggregate market response data22 cited