Time Series Clustering on Lower Tail Dependence for Portfolio Selection
From MaRDI portal
Publication:4561907
DOI10.1007/978-3-319-02499-8_12zbMath1418.91463OpenAlexW111439986MaRDI QIDQ4561907
Paola Zuccolotto, Giovanni De Luca
Publication date: 13 December 2018
Published in: Mathematical and Statistical Methods for Actuarial Sciences and Finance (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-02499-8_12
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Portfolio theory (91G10)
Related Items
A double clustering algorithm for financial time series based on extreme events, Hierarchical time series clustering on tail dependence with linkage based on a multivariate copula approach
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Comparing several parametric and nonparametric approaches to time series clustering: a simulation study
- An examination of indexes for determining the number of clusters in binary data sets
- An introduction to copulas.
- Clustering financial time series: an application to mutual funds style analysis
- A periodogram-based metric for time series classification
- Time series clustering based on forecast densities
- Time series clustering and classification by the autoregressive metric
- Clustering heteroskedastic time series by model-based procedures
- Asymptotic theory of statistical inference for time series
- Non-linear time series clustering based on non-parametric forecast densities
- Clustering of time series data -- a survey
- A DISTANCE MEASURE FOR CLASSIFYING ARIMA MODELS
- Discrimination and Clustering for Multivariate Time Series