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Forecasting and trading the EUR/USD exchange rate with Gene Expression and Psi Sigma Neural Networks
6 references·3 citing·31 second hop
Forecasting and trading the EUR/USD exchange rate with Gene Expression and Psi Sigma Neural Networks (2012)Forecasting and trading the EUR/USD excha…Higher order and recurrent neural architectures for trading the EUR/USD exchange rate (2010)Higher order and recurrent ne…Forecasting foreign exchange rates using recurrent neural networks (1996)Forecasting foreign exchange …Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…Econometric Models and Economic Forecasts (1990)Econometric Models and Econom…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…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…A novel error-output recurrent neural network model for time series forecasting (2019)A novel error-output recurren…Inflation and Unemployment Forecasting with Genetic Support Vector Regression (2014)Inflation and Unemployment Fo…Time Series Analysis: Forecasting and Control (1977)Comparing Predictive Accuracy (1994)Testing the equality of prediction mean squared errors (1997)Stock price pattern recognition-a recurrent neural network approach (1990)ARTIFICIAL NEURAL NETWORK MODEL FOR FORECASTING FOREIGN EXCHANGE RATE (2011)The Role of Technical Indicators in Exchange Rate Forecasting (2017)An Intelligent Event-Sentiment-Based Daily Foreign Exchange Rate Forecasting System (2019)The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach (1993)Serial Order: A Parallel Distributed Processing Approach (1997)Regression neural network for error correction in foreign exchange forecasting and trading (2003)FORECASTING FOREIGN EXCHANGE RATES WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW (2004)Modelling Financial Time Series (2007)NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING (2007)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)Forecasting principles and practiceForecasting with artificial neural networks: (1998)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series (2005)The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis (2023)The Influence of Top Management Team Heterogeneity on Firms' Competitive Moves (1996)The analysis of household surveys (1997)Veto Players. How Political Institutions Work (2003)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)The politics of attention: how government prioritizes problems (2006)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)
this work references cited by second hop

References

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  • 1990Econometric Models and Economic Forecasts4,945 cited
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  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 1996Forecasting foreign exchange rates using recurrent neural networks153 cited
  • 2010Higher order and recurrent neural architectures for trading the EUR/USD exchange rate58 cited

Cited by

  • 2022Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model45 cited
  • 2014Inflation and Unemployment Forecasting with Genetic Support Vector Regression37 cited
  • 2019A novel error-output recurrent neural network model for time series forecasting37 cited

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