Quantile aggregation and combination for stock return prediction
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Publication:5861021
DOI10.1080/07474938.2020.1771902zbMath1490.62321OpenAlexW3036832206MaRDI QIDQ5861021
Zhijie Xiao, Chuanliang Jiang, Esfandiar Maasoumi
Publication date: 4 March 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2020.1771902
aggregationinformationquantile regressionoptimal portfolioinvestmentmodel combinationstock return prediction
Nonparametric regression and quantile regression (62G08) Applications of statistics to actuarial sciences and financial mathematics (62P05) Portfolio theory (91G10)
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Cites Work
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- Approximately normal tests for equal predictive accuracy in nested models
- Selection of estimation window in the presence of breaks
- EFFICIENT REGRESSIONS VIA OPTIMALLY COMBINING QUANTILE INFORMATION
- Noncrossing quantile regression curve estimation
- Regression Quantiles
- Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression
- Predictable Return Distributions
- Asymptotic Inference about Predictive Ability
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