Can asymmetric conditional volatility imply asymmetric tail dependence?
| Year of publication: |
August 2017
|
|---|---|
| Authors: | Kim, Jong-Min ; Jung, Hojin |
| Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 64.2017, p. 409-418
|
| Subject: | Copula | Granger's causality | Tail dependence | Asymmetric GARCH regression | Asymmetric conditional volatility | Volatilität | Volatility | ARCH-Modell | ARCH model | Theorie | Theory | Multivariate Verteilung | Multivariate distribution | Statistische Verteilung | Statistical distribution | Börsenkurs | Share price | Schätzung | Estimation | Zeitreihenanalyse | Time series analysis | Kausalanalyse | Causality analysis | Regressionsanalyse | Regression analysis |
-
Dependence structure of volatility and illiquidity on Vienna and Warsaw stock exchanges
Gurgul, Henryk, (2019)
-
Time-Varying Asymmetric Tail Dependence of International Equities Markets
Zhou, Chunyang, (2022)
-
Measuring contagion risk in high volatility state among Taiwanese major banks
Su, Ender, (2018)
- More ...
-
Estimating yield spreads volatility using GARCH-type models
Kim, Jong-Min, (2021)
-
Relationship between oil price and exchange rate by FDA and copula
Kim, Jong-Min, (2018)
-
A quantile-copula approach to dependence between financial assets
Kim, Jong-Min, (2020)
- More ...