Asset selection based on high frequency Sharpe ratio
From MaRDI portal
Publication:2116331
DOI10.1016/j.jeconom.2020.05.007OpenAlexW3083691518MaRDI QIDQ2116331
Min Chen, Christina Dan Wang, Yimin Lian, Zhao Chen
Publication date: 16 March 2022
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2020.05.007
serial correlationsure screening propertyasset selectionhigh frequency Sharpe ratioultrahigh dimensional
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Sure independence screening in generalized linear models with NP-dimensionality
- The Adaptive Lasso and Its Oracle Properties
- Mean-variance portfolio optimization when means and covariances are unknown
- A Bernstein type inequality and moderate deviations for weakly dependent sequences
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Constructing optimal sparse portfolios using regularization methods
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- Sparse and stable Markowitz portfolios
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
- On varying-coefficient independence screening for high-dimensional varying-coefficient models
- Estimation for Markowitz Efficient Portfolios
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sure explained variability and independence screening
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Feature Screening via Distance Correlation Learning
- Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond
- Vast Portfolio Selection With Gross-Exposure Constraints
- Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
- Regularization and Variable Selection Via the Elastic Net
This page was built for publication: Asset selection based on high frequency Sharpe ratio