Forecasting Singapore's economy using statistical learning and factor models
We evaluate the performance of the penalized vector autoregression (VAR), diffusion index (DI), and regression tree-based ensemble learning models to forecast Singapore's macroeconomy using high-dimensional data. Our dataset consists of 220 monthly time series that capture the economy of Singap...
Saved in:
Main Authors: | Foo, Benedict, Koh, Deng Yao, Tan, Juan Pang, Wang, Wenjie |
---|---|
其他作者: | School of Social Sciences |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/170350 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
The effectiveness of applying machine learning to forecast the Singapore economy
由: Foo, Benedict, et al.
出版: (2021) -
Economic rhythm methods of statistical forecasting for business decision-making
由: Ledesma, Eduardo B.
出版: (1973) -
Density Forecasting: A Survey
由: TAY, Anthony S., et al.
出版: (2000) -
Density forecasting: A survey
由: Tay, A.S., et al.
出版: (2011) -
A brief survey of density forecasting in macroeconomics
由: TAY, Anthony S.,
出版: (2015)