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Business Forecasting with Artificial Neural Networks
16 references·0 citing·43 second hop
Business Forecasting with Artificial Neural Networks (2011)Business Forecasting with Artificial Neur…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Principles of forecasting : a handbook for researchers and practitioners (2001)Principles of forecasting : a…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)A simulation study of artific…Time-Series Forecasting (2000)Time-Series ForecastingForecasting stock indices: a comparison of classification and level estimation models (2000)Forecasting stock indices: a …Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting (2000)Back-propagation learning in …Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Comparative study of stock tr…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…Forecasting exchange rates using feedforward and recurrent neural networks (1995)Forecasting exchange rates us…Neural Network Time Series: Forecasting of Financial Markets (1994)Neural Network Time Series: F…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)A neural network model for bankruptcy prediction (1990)Support vector machine with adaptive parameters in financial time series forecasting (2003)Predicting the Price of Bitcoin Using Machine Learning (2018)Forecasting: theory and practice (2022)Construct validity in psychological tests. (1955)Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis, Forecasting, and Control (1995)Judgmental forecasting: A review of progress over the last 25years (2006)Consensus measurement in Delphi studies (2012)The Combination of Forecasts (1969)Exponential smoothing: The state of the art (1985)Combining forecasts: A review and annotated bibliography (1990)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Forecasting methods and applications (1993)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting daily stock market return using dimensionality reduction (2016)Deep learning for financial applications : A survey (2020)Economic Forces and the Stock Market (1986)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Forecasting stock indices with back propagation neural network (2011)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Forecasting Daily Patient Volumes in the Emergency Department (2008)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)A Survey of Forecast Error Measures (2013)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 2000Time-Series Forecasting1,053 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 1994Neural Network Time Series: Forecasting of Financial Markets441 cited
  • 1995Forecasting exchange rates using feedforward and recurrent neural networks428 cited
  • 2000Forecasting stock indices: a comparison of classification and level estimation models428 cited

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  • 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting344 cited
  • 2001A simulation study of artificial neural networks for nonlinear time-series forecasting336 cited
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