Modeling the cryptocurrency return distribution via Laplace scale mixtures

DOI10.1016/j.physa.2020.125354OpenAlexW3091962903MaRDI QIDQ2165655

Antonio Punzo, Luca Bagnato

Publication date: 22 August 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2020.125354

zbMATH Keywords

heavy-tailed distributionsLaplace distributionscale mixtureeconophysicscryptocurrenciesinverse cubic power-law

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (1)

The exponential T-X family of distributions: properties and an application to insurance data

Cites Work

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• A generalized normal distribution
• Multitude of Laplace distributions
• Robust m-estimators of multivariate location and scatter
• Estimating the dimension of a model
• Fixed point clusters for linear regression: Computation and comparison
• On model-based clustering of skewed matrix data
• Compound unimodal distributions for insurance losses
• Modeling household income with contaminated unimodal distributions
• Finite mixtures of unimodal beta and gamma densities and the \(k\)-bumps algorithm
• Studying crime trends in the USA over the years 2000--2012
• Parsimonious mixtures of multivariate contaminated normal distributions
• The Identification of Multiple Outliers
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Weighted Median of the Data in Solving Least Absolute Deviations Problems
• The EM Algorithm and Extensions, 2E
• Sampling and Bayes' Inference in Scientific Modelling and Robustness
• Adaptive Robust Procedures: A Partial Review and Some Suggestions for Future Applications and Theory
• A Characterization of the Power Function Distribution
• Laplace-Weibull Mixtures for Modeling Price Changes
• Properties of doubly-truncated gamma variables
• Empirical properties of asset returns: stylized facts and statistical issues
• A new look at the inverse Gaussian distribution with applications to insurance and economic data
• Evaluation of robust outlier detection methods for zero-inflated complex data
• Comparisons of various types of normality tests
• Dichotomous unimodal compound models: application to the distribution of insurance losses
• Probability density function estimation using gamma kernels
• A new look at the statistical model identification

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