The role of orthogonal polynomials in adjusting hyperpolic secant and logistic distributions to analyse financial asset returns
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Publication:894875
DOI10.1007/s00362-014-0633-3zbMath1416.62579OpenAlexW1502381559MaRDI QIDQ894875
Luca Bagnato, Valerio Potì, Maria Grazia Zoia
Publication date: 24 November 2015
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-014-0633-3
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45)
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Cites Work
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- Generalized Tukey-type distributions with application to financial and teletraffic data
- On estimation in conditional heteroskedastic time series models under non-normal distribu\-tions
- Parametric models for partially adaptive estimation with skewed and leptokurtic residuals
- Entropy and predictability of stock market returns.
- GARCH-type Models with Generalized Secant Hyperbolic Innovations
- Testing for the Constancy of Parameters Over Time
- On Bayesian Modeling of Fat Tails and Skewness
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Autoregressive Conditional Density Estimation
- A Dependence Metric for Possibly Nonlinear Processes
- Seminonparametric Estimation of Conditionally Constrained Heterogeneous Processes: Asset Pricing Applications
- Tailoring the Gaussian Law for Excess Kurtosis and Skewness by Hermite Polynomials
- The Econometric Modelling of Financial Time Series
