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ARTIFICIAL NEURAL NETWORK MODEL FOR FORECASTING FOREIGN EXCHANGE RATE
10 references·2 citing·47 second hop
ARTIFICIAL NEURAL NETWORK MODEL FOR FORECASTING FOREIGN EXCHANGE RATE (2011)ARTIFICIAL NEURAL NETWORK MODEL FOR FOREC…Higher order and recurrent neural architectures for trading the EUR/USD exchange rate (2010)Higher order and recurrent ne…Modeling and forecasting stock return volatility using a random level shift model (2009)Modeling and forecasting stoc…Trading and Exchanges: Market Microstructure for Practitioners (2002)Trading and Exchanges: Market…FINANCIAL TIME SERIES FORECASTING BY NEURAL NETWORK USING CONJUGATE GRADIENT LEARNING ALGORITHM AND MULTIPLE LINEAR REGRESSION WEIGHT INITIALIZATION (2000)FINANCIAL TIME SERIES FORECAS…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Introduction to financial forecasting (1996)Introduction to financial for…Neural networks for financial forecasting (1995)Neural networks for financial…Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (1994)Trading on the Edge: Neural, …Neural Network Time Series: Forecasting of Financial Markets (1994)Neural Network Time Series: F…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…Artificial Neural Network Based Model for Forecasting of Inflation in India (2016)Artificial Neural Network Bas…Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network (2014)Foreign Currency Exchange Rat…Information Effects on the Bid-Ask Spread (1983)Network externalities, competition, and compatibility (1985)Liquidity and Market Structure (1988)Secondary Trading Costs in the Municipal Bond Market (2006)Liquidity in Asset Markets With Search Frictions (2009)The Online Advertising Industry: Economics, Evolution, and Privacy (2009)A Random Walk Down Wall Street (1973)Stock performance modeling using neural networks: A comparative study with regression models (1994)Stock price pattern recognition-a recurrent neural network approach (1990)Designing a neural network for forecasting financial and economic time series (1996)Forecasting foreign exchange rates using recurrent neural networks (1996)Forecasting and trading the EUR/USD exchange rate with Gene Expression and Psi Sigma Neural Networks (2012)The Role of Technical Indicators in Exchange Rate Forecasting (2017)An Intelligent Event-Sentiment-Based Daily Foreign Exchange Rate Forecasting System (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Forecasting return volatility: Level shifts with varying jump probability and mean reversion (2014)Combining long memory and level shifts in modelling and forecasting the volatility of asset returns (2017)Modelling asymmetric market volatility with univariate GARCH models: Evidence from Nasdaq-100 (2020)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A case study on using neural networks to perform technical forecasting of forex (2000)The application of neural networks to forecast fuzzy time series (2005)Neural network ensemble operators for time series forecasting (2014)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Time Series Analysis: Forecasting and Control (1977)Financial Forecasting Using Support Vector Machines (2001)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting daily stock market return using dimensionality reduction (2016)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Models of Bounded Rationality (1997)Predicting the Price of Bitcoin Using Machine Learning (2018)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)Neural network forecasting of Canadian GDP growth (2001)Investment using technical analysis and fuzzy logic (2002)An empirical methodology for developing stockmarket trading systems using artificial neural networks (2008)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)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Combining neural network model with seasonal time series ARIMA model (2002)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)
this work references cited by second hop

References

  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 2002Trading and Exchanges: Market Microstructure for Practitioners517 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 1994Neural Network Time Series: Forecasting of Financial Markets441 cited
  • 1996Introduction to financial forecasting401 cited
  • 1994Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets261 cited
  • 1995Neural networks for financial forecasting229 cited
  • 2009Modeling and forecasting stock return volatility using a random level shift model76 cited
  • 2010Higher order and recurrent neural architectures for trading the EUR/USD exchange rate58 cited
  • 2000FINANCIAL TIME SERIES FORECASTING BY NEURAL NETWORK USING CONJUGATE GRADIENT LEARNING ALGORITHM AND MULTIPLE LINEAR REGRESSION WEIGHT INITIALIZATION55 cited

Cited by

  • 2014Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network46 cited
  • 2016Artificial Neural Network Based Model for Forecasting of Inflation in India46 cited

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