This study aims to analyze the transmissions of volatility spillovers from China, Singapore, South Korea, and Japan stock markets Indonesian market prove an asymmetric effect on spillover volatility. The data retrieved index each country in period 2020. analytical method used is Exponential GARCH (EGARCH) specification developed by Nelson (1991). results analysis show that there was no market. ...

Bu çalışmanın temel amacı vadeli ve spot piyasaları arasındaki getiri volatilite etkileşimi belirlemektir. doğrultuda BIST 30 işlem sözleşmeleri endeksi ile piyasalarında gören Vadeli, 100, 30, Banka, Hizmet, Turizm Sanayi Endekslerinin 29.06.2012 – 28.07.2021 dönemine ait günlük verileri kullanılmıştır. Vadeli VAR-EGARCH modelinin yardımıyla analiz edilmiştir. Yapılan analizler sonucunda Sanay...

In this paper, we focus on the trade and quote data for the IBM stock traded at the NYSE. We present two di erent frameworks for analyzing this dataset. First, using regularly sampled observations, we characterize the intraday volatility of the mid-point of the bid-ask quotes by estimating GARCH and EGARCH models, with intraday seasonality being accounted for. We also highlight the impact of ch...

This paper examines the forecasting performance of four GARCH(1,1) models (GARCH, EGARCH, GJR and APARCH) used with three distributions (Normal, Student-t and Skewed Student-t). We explore and compare different possible sources of forecasts improvements: asymmetry in the conditional variance, fat-tailed distributions and skewed distributions. Two major European stock indices (FTSE 100 and DAX 3...

The study examines the ability of three volatility-forecasting models to estimate the term structure of implied volatilities. The tests are performed on equity Warrants listed on the JSE with the three measures being the Generalized Autoregressive Conditional Heteroscedicity (GARCH), the exponential GARCH (EGARCH) and the Exponentially Weighted Moving Average (EWMA). The Black-Scholes implied v...

This study extends the dynamic conditional correlation model to allow day-specific correlations of shocks across international stock markets. The properties of the resulting periodic dynamic conditional correlation (PDCC) model are examined, with the model then applied to study the intra-week interactions between six developed European stock markets and the US over the period 1993 2005. We find...