Expectile hidden Markov regression models for analyzing cryptocurrency returns
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Publication:6494403
DOI10.1007/S11222-023-10377-2WikidataQ130023919 ScholiaQ130023919MaRDI QIDQ6494403
Unnamed Author, Lea Petrella, Luca Merlo
Publication date: 30 April 2024
Published in: Statistics and Computing (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Asymmetric Least Squares Estimation and Testing
- Markov regime-switching quantile regression models and financial contagion detection
- Geoadditive expectile regression
- VAR for VaR: measuring tail dependence using multivariate regression quantiles
- Speculative bubbles in bitcoin markets? An empirical investigation into the fundamental value of bitcoin
- Finite mixtures of quantile and M-quantile regression models
- Isotonicity properties of generalized quantiles
- Quantile regression for longitudinal data based on latent Markov subject-specific parameters
- Hidden semi-Markov-switching quantile regression for time series
- Estimating the dimension of a model
- Nonlinear expectile regression with application to value-at-risk and expected shortfall estimation
- Bayesian regularisation in geoadditive expectile regression
- Generalized quantiles as risk measures
- Unified Bayesian conditional autoregressive risk measures using the skew exponential power distribution
- The relationship between longevity and lifespan variation
- Quantile hidden semi-Markov models for multivariate time series
- Inference in finite state space non parametric hidden Markov models and applications
- Coherent Measures of Risk
- COHERENCE AND ELICITABILITY
- Distribution of the Estimators for Autoregressive Time Series With a Unit Root
- Regression Quantiles
- Long Memory of Financial Time Series and Hidden Markov Models with Time‐Varying Parameters
- Spatio-temporal expectile regression models
- A new GEE method to account for heteroscedasticity using asymmetric least-square regressions
- A dynamic analysis of stock markets using a hidden Markov model
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
- Hidden Markov Models for Time Series
- Markov switching quantile autoregression
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