Functional time series approach to analyzing asset returns co-movements
From MaRDI portal
Publication:2673199
DOI10.1016/J.JECONOM.2020.11.012OpenAlexW3151858000MaRDI QIDQ2673199
Publication date: 9 June 2022
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2020.11.012
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- Asymmetric conditional correlations in stock returns
- Identifying the finite dimensionality of curve time series
- Functional data analysis for volatility
- Common functional principal components
- Nonlinear time series. Nonparametric and parametric methods
- Assessing the Finite Dimensionality of Functional Data
- Semi-Parametric Modelling of Correlation Dynamics
- Factor Model Forecasts of Exchange Rates
- Modeling Conditional Correlations of Asset Returns: A Smooth Transition Approach
- Selecting the Number of Principal Components in Functional Data
- On Properties of Functional Principal Components Analysis
- Determining the Number of Factors in Approximate Factor Models
- Functional Data Analysis for Sparse Longitudinal Data
This page was built for publication: Functional time series approach to analyzing asset returns co-movements