Time-varying asymmetry and tail thickness in long series of daily financial returns
Year of publication: |
Dez 2018
|
---|---|
Authors: | Mazur, Błażej ; Pipień, Mateusz |
Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 22.2018, 5, p. 1-21
|
Subject: | density forecasting | Flexible Fourier Form | GARCH models | generalized asymmetric Student t distribution | tail asymmetry | ARCH-Modell | ARCH model | Statistische Verteilung | Statistical distribution | Kapitaleinkommen | Capital income | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Volatilität | Volatility | Theorie | Theory | Schätzung | Estimation | Risikomaß | Risk measure |
-
Forecasting the return distribution using high-frequency volatility measures
Hua, Jian, (2013)
-
Realizing the extremes : estimation of tail-risk measures from a high-frequency perspective
Bee, Marco, (2016)
-
Wang, Tianyi, (2022)
- More ...
-
Mazur, Błażej, (2012)
-
On the empirical importance of periodicity in the volatility of financial time series
Mazur, Błażej, (2012)
-
Statistical analysis of business cycle fluctuations in Poland before and after the crisis
Lenart, Łukasz, (2016)
- More ...