Robustify Financial Time Series Forecasting with Bagging
In this paper we propose a revised version of (bagging) bootstrap aggregating as a forecast combination method for the out-of-sample forecasts in time series models. The revised version explicitly takes into account the dependence in time series data and can be used to justify the validity of baggin...
Saved in:
Main Authors: | JIN, Sainan, SU, Liangjun, ULLAH, Aman |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/1428 https://ink.library.smu.edu.sg/context/soe_research/article/2427/viewcontent/RobustifyFinancialTimeSeriesForecastingBagging_2014.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Bayesian optimization based dynamic ensemble for time series forecasting
by: Du, Liang, et al.
Published: (2022) -
Time series forecasting using backpropagation neural networks
by: Wong, F.S.
Published: (2014) -
DCEnt‐PredictiveNet: a novel explainable hybrid model for time series forecasting
by: Sudarshan, Vidya K., et al.
Published: (2024) -
Semiparametric Estimator of Time Series Conditional Variance
by: MISHRA, Santosh, et al.
Published: (2010) -
Time series demand forecasting on NYC taxi dataset
by: Teh, Timothy Rui Sheng
Published: (2024)