Results 81 to 90 of about 1,203 (162)
This study applied the Clayton and Gumbel copulas using the TGARCH model for marginal distribution of returns in order to describe the tail dependence between oil prices and the Mexican stock market index (IPC, Index of Prices and Quotations) on a weekly
Lorenzo Valdés, Arturo +2 more
core
Traffic Volatility Forecasting Using an Omnibus Family GARCH Modeling Framework. [PDF]
Ou J, Huang X, Zhou Y, Zhou Z, Nie Q.
europepmc +1 more source
Do foreign investors affect the volatility of local currency bond prices? Empirical evidence from China. [PDF]
Wang Q, Gao S, Li J, Leibrecht M.
europepmc +1 more source
Modelling time-varying volatility using GARCH models: evidence from the Indian stock market. [PDF]
Ali F, Suri P, Kaur T, Bisht D.
europepmc +1 more source
Çalışmanın amacı, Borsa İstanbul’da (BIST) işlem gören Katılım 30 ve Katılım 50 endekslerinin volatilite yapılarını açıklayan en uygun modeli belirlemektir.
Turan Öndeş, Muhammet Levet
doaj +1 more source
Impact of COVID-19 on Stock Indices Volatility: Long-Memory Persistence, Structural Breaks, or Both? [PDF]
de Oliveira AMB, Mandal A, Power GJ.
europepmc +1 more source
Trading volume and volatility of stock returns: Evidence from some European and Asian stock markets
This paper analyses the relationship between the daily volatility of stock returns and the trading volume using the TGARCH models for selected European and Asian stock markets. The leverage effect has been proved in all analysed cases.
Michaela Chocholatá
doaj
Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect. [PDF]
Ekinci A.
europepmc +1 more source
Modeling and forecasting trading volume index: GARCH versus TGARCH approach
Volatility has been described as an indicator of uncertainty which has implications for investment decisions, risk management as well as monetary policy.
Sabiruzzaman, Md. +3 more
core

