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A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector
16 references·2 citing·49 second hop
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector (2017)A Time Series Analysis-Based Forecasting …Decomposition of Time Series Data of Stock Markets and its Implications for Prediction – An Application for the Indian Auto Sector (2016)Decomposition of Time Series …An overview of health forecasting (2012)An overview of health forecas…Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Forecasting stock exchange mo…Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods (2009)Predicting the Brazilian stoc…Predicting stock index increments by neural networks: The role of trading volume under different horizons (2007)Predicting stock index increm…Stock Index Modeling using EDA based Local Linear Wavelet Neural Network (2006)Stock Index Modeling using ED…Artificial Neural Network Models for Forecasting Stock Price Index in the Bombay Stock Exchange (2006)Artificial Neural Network Mod…STAR and ANN models: forecasting performance on the Spanish “Ibex-35” stock index (2004)STAR and ANN models: forecast…Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike (2004)Forecasting the New York stoc…Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures (2004)Artificial neural networks wi…Predicting the Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences (2003)Predicting the Australian Sto…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Neural network versus econometric models in forecasting inflation (2000)Neural network versus econome…Forecasting stock indices: a comparison of classification and level estimation models (2000)Forecasting stock indices: a …A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)A Nonparametric Approach to P…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction (2022)Long‐and‐Short‐Term Memory (L…A Robust Predictive Model for Stock Price Forecasting (2021)A Robust Predictive Model for…Principles of forecasting : a handbook for researchers and practitioners (2001)Principles of Forecasting (2001)A state space framework for automatic forecasting using exponential smoothing methods (2002)The effects of medicines availability and stock-outs on household’s utilization of healthcare services in Dodoma region, Tanzania (2019)At the Epicenter of COVID-19–the Tragic Failure of the Global Supply Chain for Medical Supplies (2020)Disparities in Cardiovascular Research Output and Disease Outcomes among High-, Middle- and Low-Income Countries – An Analysis 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(1973)Regularization Neural Network for Construction Cost Estimation (1998)Forecasting exchange rates using general regression neural networks (2000)Pricing and hedging derivative securities with neural networks and a homogeneity hint (2000)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Statistical analysis of cointegration vectors (1988)Inflation forecasting using a neural network (2004)NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING (2007)A COMPARATIVE ANALYSIS OF ALTERNATIVE UNIVARIATE TIME SERIES MODELS IN FORECASTING TURKISH INFLATION (2012)Does the Stock Market Overreact? (1985)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)Forecasting daily stock market return using dimensionality reduction (2016)Economic Forces and the Stock Market (1986)Forecasting stock indices with back propagation neural network (2011)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Literature review: Machine learning techniques applied to financial market prediction (2019)
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References

  • 1990Stock market prediction system with modular neural networks654 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 2000Forecasting stock indices: a comparison of classification and level estimation models428 cited
  • 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks239 cited
  • 2012An overview of health forecasting181 cited
  • 2007Predicting stock index increments by neural networks: The role of trading volume under different horizons161 cited
  • 2000Neural network versus econometric models in forecasting inflation155 cited
  • 2010Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait148 cited
  • 2009Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods146 cited
  • 2006Artificial Neural Network Models for Forecasting Stock Price Index in the Bombay Stock Exchange80 cited
  • 2004STAR and ANN models: forecasting performance on the Spanish “Ibex-35” stock index74 cited
  • 2004Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike73 cited
  • 2003Predicting the Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences56 cited

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2006
Stock Index Modeling using EDA based Local Linear Wavelet Neural Network
48 cited
  • 2004Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures36 cited
  • 2016Decomposition of Time Series Data of Stock Markets and its Implications for Prediction – An Application for the Indian Auto Sector36 cited
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    • 2021A Robust Predictive Model for Stock Price Forecasting33 cited
    • 2022Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction31 cited