Results 21 to 30 of about 15,002 (270)
Bootstrapping Time-Varying Uncertainty Intervals for Extreme Daily Return Periods
This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and Expected Shortfall (ES) uncertainty intervals in high frequency data.
Katleho Makatjane, Tshepiso Tsoku
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Out of sample value-at-risk and backtesting with the standardized pearson type-IV skewed distribution [PDF]
This paper studies the efficiency of an econometric model where the volatility is modeled by a GARCH (1,1) process, and the innovations follow a standardized form of the Pearson type-IV distribution.
Stavroyiannis Stavros, Zarangas Leonidas
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A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions [PDF]
In this paper, a novel robust Rauch-Tung-Striebel smoother is proposed based on the Slash and generalized hyperbolic skew Student's t-distributions. A novel hierarchical Gaussian state-space model is constructed by formulating the Slash distribution as a Gaussian scale mixture form and formulating the generalized hyperbolic skew Student's t ...
Huang, Y. +4 more
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Inference for grouped data with a truncated skew-Laplace distribution [PDF]
The skew-Laplace distribution has been used for modelling particle size with point observations. In reality, the observations are truncated and grouped (rounded).
Rubio, Francisco J., Steel, Mark F. J.
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In this article we evaluate the daily conditional volatility and h-step-ahead Value at Risk (VaR) forecasting power of three long memory GARCH-type models (FIGARCH, HYGARCH & FIAPARCH).
Samir Mabrouk
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Asset pricing and portfolio selection based on the multivariate extended skew-Student-t distribution [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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In this study, we propose three portfolio strategies: allocation based on the normality assumption, the skewed-Student t distribution, and the entropy pooling (EP) method for 14 small- and large-capitalization (cap) cryptocurrencies.
Jules Clement Mba +1 more
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Polynomial adjusted Student-t densities for modeling asset returns [PDF]
We present a polynomial expansion of the standardized Student-t distribution. Our density, obtained through the polynomial adjusted method in Bagnato, Potì and Zoia (2015), is an extension of the Gram-Charlier density in Jondeau and Rockinger (2001).
Ñíguez, T.M., León, Á.
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A Study of Literature on Robust Skew Student T Distribution for Parameter Estimation [PDF]
This study aim of this research is to propose three new distributions for the distribution of stock returns and using those distributions proposed and estimates the parameters of stock returns. This proposed distribution will be dealt with in the area of some statistical properties.
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