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Combined forecasts from linear and nonlinear time series models
12 references·16 citing·33 second hop
Combined forecasts from linear and nonlinear time series models (2002)Combined forecasts from linear and nonlin…Time-Varying Smooth Transition Autoregressive Models (2003)Time-Varying Smooth Transitio…Nonlinear Time Series Models in Empirical Finance (2000)Nonlinear Time Series Models …Modelling nonlinear economic relationships (1994)Modelling nonlinear economic …Some recent developments in non-linear time series modelling, testing, and forecasting (1992)Some recent developments in n…On Bayesian routes to unit roots (1991)On Bayesian routes to unit ro…Forecasting, Structural Time Series Models and the Kalman Filter (1990)Forecasting, Structural Time …Trends and random walks in macroeconomic time series (1988)Trends and random walks in ma…Testing Linearity Against Smooth Transition Autoregressive Models (1988)Testing Linearity Against Smo…Improved methods of combining forecasts (1984)Improved methods of combining…Trends and random walks in macroeconmic time series (1982)Trends and random walks in ma…Threshold autoregression, limit cycles and cyclical data- with discussion (1980)Threshold autoregression, lim…The Combination of Forecasts (1969)The Combination of ForecastsUnemployment Rate Forecasting: A Hybrid Approach (2020)Unemployment Rate Forecasting…Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail (2020)Deep learning with long short…Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices (2019)Cascading logistic regression…Soft computing hybrids for FOREX rate prediction: A comprehensive review (2018)Soft computing hybrids for FO…Oil price forecasting using a hybrid model (2018)Oil price forecasting using a…Dynamic Bayesian predictive synthesis in time series forecasting (2018)Dynamic Bayesian predictive s…Dynamic prediction pools: An investigation of financial frictions and forecasting performance (2016)Dynamic prediction pools: An …Time-varying combinations of predictive densities using nonlinear filtering (2013)Time-varying combinations of …Time-Varying Combinations of Predictive Densities Using Nonlinear Filtering (2012)Time-Varying Combinations of …Performance evaluation of weights selection schemes for linear combination of multiple forecasts (2012)Performance evaluation of wei…Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage (2012)Forecasting and trading the E…A novel text mining approach to financial time series forecasting (2011)A novel text mining approach …A new class of hybrid models for time series forecasting (2011)A new class of hybrid models …IMPROVING FORECAST ACCURACY BY COMBINING RECURSIVE AND ROLLING FORECASTS* (2009)IMPROVING FORECAST ACCURACY B…Adaptive combination of forecasts with application to wind energy (2008)Adaptive combination of forec…The power of tests of predictive ability in the presence of structural breaks (2004)The power of tests of predict…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Comparing Predictive Accuracy (1994)Impulse response analysis in nonlinear multivariate models (1996)Comovement in international equity markets: A sectoral view (2005)Panel Smooth Transition Regression Models (2005)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)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Some 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(2003)Combination forecasts of output growth in a seven‐country data set (2004)Forecasting: theory and practice (2022)Modeling the price dynamics of CO2 emission allowances (2008)CISS - A Composite Indicator of Systemic Stress in the Financial System (2010)Forecasting Stock Returns (2013)Handbook on Constructing Composite Indicators (2005)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)
this work references cited by second hop

References

  • 1982Trends and random walks in macroeconmic time series4,670 cited
  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 1969The Combination of Forecasts3,194 cited
  • 1988Trends and random walks in macroeconomic time series2,433 cited
  • 1988Testing Linearity Against Smooth Transition Autoregressive Models1,365 cited
  • 1984Improved methods of combining forecasts1,152 cited
  • 2000Nonlinear Time Series Models in Empirical Finance1,111 cited
  • 1994Modelling nonlinear economic relationships296 cited
  • 1980Threshold autoregression, limit cycles and cyclical data- with discussion247 cited
  • 2003Time-Varying Smooth Transition Autoregressive Models224 cited
  • 1992Some recent developments in non-linear time series modelling, testing, and forecasting206 cited
  • 1991On Bayesian routes to unit roots169 cited

Cited by

  • 2020Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail206 cited
  • 2009IMPROVING FORECAST ACCURACY BY COMBINING RECURSIVE AND ROLLING FORECASTS*194 cited
  • 2018Oil price forecasting using a hybrid model

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176 cited
  • 2013Time-varying combinations of predictive densities using nonlinear filtering152 cited
  • 2011A novel text mining approach to financial time series forecasting134 cited
  • 2019Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices125 cited
  • 2016Dynamic prediction pools: An investigation of financial frictions and forecasting performance123 cited
  • 2011A new class of hybrid models for time series forecasting123 cited
  • 2018Dynamic Bayesian predictive synthesis in time series forecasting114 cited
  • 2008Adaptive combination of forecasts with application to wind energy111 cited
  • 2004The power of tests of predictive ability in the presence of structural breaks108 cited
  • 2012Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage95 cited
  • 2018Soft computing hybrids for FOREX rate prediction: A comprehensive review93 cited
  • 2020Unemployment Rate Forecasting: A Hybrid Approach69 cited
  • 2012Performance evaluation of weights selection schemes for linear combination of multiple forecasts64 cited
  • 2012Time-Varying Combinations of Predictive Densities Using Nonlinear Filtering62 cited