This study takes into account the newly developed hybrid ARIMA-FIGARCH. We use daily price index of S&P 500. The data employed for this was secondary in nature all variables and obtained from publications Central Bank Nigeria Bulletin, National Bureau Statistics, World Statistics Database, dated January 2005 to December 2020. Also, result Jarque-Bera test indicated that p-values were less t...

We investigate the impact of the European Central Bank’s monetary policy communication on the level and volatility of the EUR-US Dollar exchange rate employing an AR-FIGARCH specification. Using high-frequency data we estimate the individual and complementary effects of the release of the interest rate decision, the ECB’s introductory statement and the question and answer session. Surprise inte...

The hedging of weather risks has become extremely relevant in recent years, promoting the diffusion of weather derivative contracts. The pricing of such contracts require the development of appropriate models for the prediction of the underlying weather variables. Within this framework, we present a modification of the double long memory ARFIMA-FIGARCH model introducing time-varying memory coef...

This paper examines the importance of basis convergence and long memory in volatility when estimating minimum variance hedge ratios (MVHRs) using SPI futures. The paper employs a bivariate FIGARCH model with a maturity effect to model the joint dynamics of the Australian All Ordinaries Index and the basis. This new approach allows for long memory in volatility, time varying correlations and the...

The aim of this paper is to surround the volatility dynamics on the Tunisian stock market via an approach founded on the detection of persistence phenomenon and longterm memory presence. More specifically, our object is to test whether long-term dependent processes are appropriated for modelling Tunisian stock market volatility. The empirical investigation has been driven on the two Tunisian st...