Is it optimal to combine forecast with a simple average?
© 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All rights reserved. This paper proposes a unified framework to study the theoretical properties of forecast combination. By setting up the forecast combination problem as a panel data model, the paper obtains...
| Main Authors: | Chan, Felix, Pauwels, L. |
|---|---|
| Format: | Conference Paper |
| Published: |
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/79445 |
Similar Items
Some Theoretical Results on Forecast Combinations
by: Chan, Felix, et al.
Published: (2018)
by: Chan, Felix, et al.
Published: (2018)
Frequentist Averaging
by: Chan, Felix, et al.
Published: (2020)
by: Chan, Felix, et al.
Published: (2020)
Selecting the relevant forecasts for forecast combination
by: Chan, Felix, et al.
Published: (2023)
by: Chan, Felix, et al.
Published: (2023)
Combining risk forecasts
by: Soltyk, Sylvia, et al.
Published: (2023)
by: Soltyk, Sylvia, et al.
Published: (2023)
Application of forecast combination in volatility modelling
by: James, Adam, et al.
Published: (2011)
by: James, Adam, et al.
Published: (2011)
Model specification in panel data unit root tests with an unknown break
by: Chan, Felix, et al.
Published: (2011)
by: Chan, Felix, et al.
Published: (2011)
Daily average load forecasting using dynamic linear regression
by: Azad, S., et al.
Published: (2014)
by: Azad, S., et al.
Published: (2014)
Unit roots and structural breaks in panels: Does the model specification matter?
by: Chan, Felix, et al.
Published: (2009)
by: Chan, Felix, et al.
Published: (2009)
Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
by: A, Shamshad, et al.
Published: (2003)
by: A, Shamshad, et al.
Published: (2003)
Comparison between artificial neural network and autoregressive integrated moving average model in bitcoin price forecasting
by: Chan Chian Tun,, et al.
Published: (2018)
by: Chan Chian Tun,, et al.
Published: (2018)
Forecasting value-at-risk using maximum entropy density
by: Chan, Felix
Published: (2009)
by: Chan, Felix
Published: (2009)
Testing for structural breaks in discrete choice models
by: Wongsosaputro, J., et al.
Published: (2011)
by: Wongsosaputro, J., et al.
Published: (2011)
Testing for structural change in heterogeneous panels with an application to the Euro’s trade effect
by: Pauwels, L., et al.
Published: (2012)
by: Pauwels, L., et al.
Published: (2012)
Testing structural stability in heterogeneous panel data
by: Chan, Felix, et al.
Published: (2007)
by: Chan, Felix, et al.
Published: (2007)
The Impact of Serial Correlation on Testing For Structural Change in Binary Choice Model: Monte Carlo Evidence
by: Chan, Felix, et al.
Published: (2013)
by: Chan, Felix, et al.
Published: (2013)
Combined Forecasting - Linear Programming
by: Trinh, Hoang Quan
Published: (2012)
by: Trinh, Hoang Quan
Published: (2012)
Does the optimal model always perform the best? a combined approach for interval forecasting
by: Arasan, Jayanthi, et al.
Published: (2023)
by: Arasan, Jayanthi, et al.
Published: (2023)
Forecasting tourist accommodation demand in New Zealand
by: Lim, C., et al.
Published: (2009)
by: Lim, C., et al.
Published: (2009)
Optimal combined load forecast based on multi-criteria decision making methods
by: Radhi Kamaruzaman, Ahmad Khairul
Published: (2013)
by: Radhi Kamaruzaman, Ahmad Khairul
Published: (2013)
The combination of forecasts with different time aggregation
by: Abd Rahman, Nur Haizum, et al.
Published: (2019)
by: Abd Rahman, Nur Haizum, et al.
Published: (2019)
A hybrid simple exponential smoothing-barnacles mating optimization approach for parameter estimation: Enhancing COVID-19 forecasting in Malaysia
by: Azlan, Abdul Aziz, et al.
Published: (2025)
by: Azlan, Abdul Aziz, et al.
Published: (2025)
A scientometrics review on combining forecasts in financial markets
by: Ho, Jen Sim, et al.
Published: (2023)
by: Ho, Jen Sim, et al.
Published: (2023)
Can multivariate GARCH models really improve value-at-risk forecasts?
by: Sia, C.S., et al.
Published: (2015)
by: Sia, C.S., et al.
Published: (2015)
Temporal flood incidence forecasting for Segamat River (Malaysia) using autoregressive integrated moving average modelling
by: Razak, Nurhafiza, et al.
Published: (2018)
by: Razak, Nurhafiza, et al.
Published: (2018)
Forecasting road traffic fatalities in Malaysia using Seasonal
Autoregressive Integrated Moving Average (SARIMA) model
by: Sim, Ho Jen, et al.
Published: (2022)
by: Sim, Ho Jen, et al.
Published: (2022)
Optimisation of Combined Forecasting Through Linear Programming
by: Nita, Alexandra-Irina
Published: (2012)
by: Nita, Alexandra-Irina
Published: (2012)
The role of implied volatility in volatility combining forecasts
by: Ho, Jen Sim, et al.
Published: (2024)
by: Ho, Jen Sim, et al.
Published: (2024)
Forecasting patient admission in orthopedic clinic at a hospital in Kuantan using autoregressive integrated moving average (ARIMA) models
by: Mohamed, Bahari, et al.
Published: (2020)
by: Mohamed, Bahari, et al.
Published: (2020)
Implementation of revised heuristic knowledge in average-based interval for fuzzy time series forecasting of tuberculosis cases in Sabah
by: Lasaraiya, Suriana, et al.
Published: (2023)
by: Lasaraiya, Suriana, et al.
Published: (2023)
Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia
by: Chuan, Zun Liang, et al.
Published: (2025)
by: Chuan, Zun Liang, et al.
Published: (2025)
A Simple but Effective Combination of pH Indicators for Plant Tissue Culture
by: Funnekotter, Bryn, et al.
Published: (2023)
by: Funnekotter, Bryn, et al.
Published: (2023)
Ventral extra-striate cortical areas are required for optimal orientation averaging
by: Allen, Harriet A., et al.
Published: (2007)
by: Allen, Harriet A., et al.
Published: (2007)
Forecasting international tourism demand and uncertainty for Barbados, Cyprus and Fiji
by: Chan, Felix, et al.
Published: (2005)
by: Chan, Felix, et al.
Published: (2005)
Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk
by: Da Veiga, Bernardo, et al.
Published: (2008)
by: Da Veiga, Bernardo, et al.
Published: (2008)
Dengue dasboard for forecasting the future trend of dengue cases in Pahang using auto regression integrated moving average (ARIMA) model
by: Muhammad Khairul Syafiq, Mustafa, et al.
Published: (2021)
by: Muhammad Khairul Syafiq, Mustafa, et al.
Published: (2021)
Evaluating the impact of market reforms on Value-at-Risk forecasts of Chinese A and B shares
by: Da Veiga, Bernardo, et al.
Published: (2008)
by: Da Veiga, Bernardo, et al.
Published: (2008)
Optimized performance evaluation of LTE hard handover algorithm with average RSRP constraint
by: Lin, Cheng-Chung, et al.
Published: (2011)
by: Lin, Cheng-Chung, et al.
Published: (2011)
Stochastic Optimization Problems with CVaR Risk Measure and Their Sample Average Approximation
by: Meng, F., et al.
Published: (2010)
by: Meng, F., et al.
Published: (2010)
Leveraging hybrid ANN–AHP to optimize cement industry average inventory levels
by: Edy, Fradinata, et al.
Published: (2024)
by: Edy, Fradinata, et al.
Published: (2024)
Peak-to-average power ratio reduction based on optimized phase shift technique
by: Mohammed, Muamer N., et al.
Published: (2017)
by: Mohammed, Muamer N., et al.
Published: (2017)
Similar Items
-
Some Theoretical Results on Forecast Combinations
by: Chan, Felix, et al.
Published: (2018) -
Frequentist Averaging
by: Chan, Felix, et al.
Published: (2020) -
Selecting the relevant forecasts for forecast combination
by: Chan, Felix, et al.
Published: (2023) -
Combining risk forecasts
by: Soltyk, Sylvia, et al.
Published: (2023) -
Application of forecast combination in volatility modelling
by: James, Adam, et al.
Published: (2011)