This research investigates the hedging effectiveness of stock index futures markets in Malaysia and Singapore by employing various hedge ratio estimation methods, which comprises of the conventional OLS model, VECM, EGARCH and bivariate GARCH. The empirical results indicate that the Kuala Lumpur Futures Index (KLFI) provides higher hedging effectiveness compared to the Straits Times Index (STI)...

We introduce the notion of continuous invertibility on a compact set for volatility models driven by a Stochastic Recurrence Equation (SRE). We prove the strong consistency of the Quasi Maximum Likelihood Estimator (QMLE) when the optimization procedure is done on a continuously invertible domain. This approach gives for the first time the strong consistency of the QMLE used by Nelson in [29] f...

It is well-established that the …nancial time series display some stylized fatcs such as volatility clustering, high kurtosis, low starting and slow-decaying autocorrelation function and the Talyor e¤ect as well. In order to evaluate volatility models’capacity in capturing such facts, we apply both standard and robust measures of kurtosis and autocorrelation of squares to GARCH, EGARCH and ARSV...

The present study aims at applying different methods i.e GARCH, EGARCH, GJRGARCH, IGARCH & ANN models for calculating the volatilities of Indian stock markets. Fourteen years of data of BSE Sensex & NSE Nifty are used to calculate the volatilities. The performance of data exhibits that, there is no difference in the volatilities of Sensex, & Nifty estimated under the GARCH, EGARCH, GJR GARCH, I...

4 GARCH Models 7 4.1 Basic GARCH Specifications . . . . . . . . . . . . . . . . . . . 8 4.2 Diagnostic Checking . . . . . . . . . . . . . . . . . . . . . . . 11 4.3 Regressors in the Variance Equation . . . . . . . . . . . . . . . 12 4.4 The GARCH–M Model . . . . . . . . . . . . . . . . . . . . . . 12 4.5 The Threshold GARCH (TARCH) Model . . . . . . . . . . . . 12 4.6 The Exponential GARCH (EG...

This study empirically examined the asymmetric oil price shocks in Nigeria from 1981q1-2019q4 using Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model. The EGARCH model was employed to investigate by obtaining conditional variance estimated results. Empirical results revealed a weak indication for leverage effect and strong effect. positive egarch (L2) coeffici...

In this paper the value at risk (VaR) forecasts are compared using three different GARCH models; ARCH(1), GARCH(1,1) and EGARCH(1,1). The implemented method is a one-day ahead out of sample forecast of the VaR. The forecasts are evaluated using the Kupiec test with a five percent significance level. The focus is on three different markets; commodities, equities and exchange rates. The goal of t...

This article examines the impact of SGX MSCI Taiwan Index Futures on the volatility of the Taiwan stock market. The empirical work is conducted with the use of weekly stock returns from 1995 to 1998 and by applying an expanded EGARCH model. Our findings show that there is no structural change on either the conditional or the unconditional variance after the introduction of index futures contrac...