SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting by Machine Learning Techniques and Econometrics: A Review
8 references·2 citing·53 second hop
Forecasting by Machine Learning Techniques and Econometrics: A Review (2021)Forecasting by Machine Learning Technique…Understanding household vehicle ownership in Singapore through a comparison of econometric and machine learning models (2020)Understanding household vehic…Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm (2020)Retracted: Efficiency Analysi…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market (2020)Integrated Long-Term Stock Se…A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics (2020)A Profit Function-Maximizing …Text-based crude oil price forecasting: A deep learning approach (2018)Text-based crude oil price fo…Applicability of Deep Learning Models for Stock Price Forecasting An Empirical Study on BANKEX Data (2018)Applicability of Deep Learnin…Comparison of Prediction Performances of Artificial Neural Network (ANN) and Vector Autoregressive (VAR) Models by Using the Macroeconomic Variables of Gold Prices, Borsa Istanbul (BIST) 100 Index and US Dollar-Turkish Lira (USD/TRY) Exchange Rates (2015)Comparison of Prediction Perf…Prediction of stock price direction using the LASSO-LSTM model combines technical indicators and financial sentiment analysis (2022)Prediction of stock price dir…A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction (2022)A Hybrid Data Analytics Frame…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Macroeconomics and Reality (1980)The Econometrics of Financial Markets (2012)Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers (2019)Forecasting the lithium mineral resources prices in China: Evidence with Facebook Prophet (Fb-P) and Artificial Neural Networks (ANN) methods (2023)Stock price prediction using ARIMA versus XGBoost models: the case of the largest telecommunication company in the Middle East (2023)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Postwar U.S. Business Cycles: An Empirical Investigation (1997)A novel text-based framework for forecasting agricultural futures using massive online news headlines (2020)Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization (2021)Price forecasting through neural networks for crude oil, heating oil, and natural gas (2024)The Behavior of Stock-Market Prices (1965)Random Walks in Stock Market Prices (1995)25 years of time series forecasting (2006)An efficient equilibrium optimizer with support vector regression for stock market prediction (2021)An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting (2022)Research on Stock Price Time Series Prediction Based on Deep Learning and Autoregressive Integrated Moving Average (2022)Common risk factors in the returns on stocks and bonds (1993)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Prediction-Based Portfolio Optimization Models Using Deep Neural Networks (2020)Ensemble Technique With Optimal Feature Selection for Saudi Stock Market Prediction: A Novel Hybrid Red Deer-Grey Algorithm (2021)Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators (2023)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big Data Analytics in Operations Management (2017)An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management (2021)A Systematic Literature Review on the Application of Automation in Logistics (2023)Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques (2024)Robo-Advisors and Wealth Management (2017)A multiscale analysis for carbon price drivers (2018)Measuring the maturity of carbon market in China: An entropy-based TOPSIS approach (2019)Dynamic stock-decision ensemble strategy based on deep reinforcement learning (2022)Artificial intelligence applications in finance: a survey (2023)Efficient optimization of robust project scheduling for industry 4.0: A hybrid approach based on machine learning and meta-heuristic algorithms (2024)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)The structure of random utility models (1977)The Built Environment and Motor Vehicle Ownership and Use: Evidence from Santiago de Chile (2010)Modeling Ordered Choices, A Primer (2011)A kilometer or a mile? Does buffer size matter when it comes to car ownership? (2022)Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership (2022)Rural–nonrural divide in car access and unmet travel need in the United States (2023)On the use of cross-validation for time series predictor evaluation (2012)Sentiment analysis on social media for stock movement prediction (2015)NSE Stock Market Prediction Using Deep-Learning Models (2018)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Market liquidity as a sentiment indicator (2004)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)
this work references cited by second hop

References

  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2018Text-based crude oil price forecasting: A deep learning approach305 cited
  • 2020Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market158 cited
  • 2018Applicability of Deep Learning Models for Stock Price Forecasting An Empirical Study on BANKEX Data78 cited
  • 2020A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics67 cited
  • 2020Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm64 cited
  • 2015Comparison of Prediction Performances of Artificial Neural Network (ANN) and Vector Autoregressive (VAR) Models by Using the Macroeconomic Variables of Gold Prices, Borsa Istanbul (BIST) 100 Index and US Dollar-Turkish Lira (USD/TRY) Exchange Rates50 cited
  • 2020Understanding household vehicle ownership in Singapore through a comparison of econometric and machine learning models38 cited

Cited by

  • 2022A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction43 cited
  • 2022Prediction of stock price direction using the LASSO-LSTM model combines technical indicators and financial sentiment analysis32 cited

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