In this paper, we demonstrate that most of Tokyo stock return data sets have volatility persistence and it is due to a parameter change in underlying GARCH models. For testing for a parameter change, we use the cusum test, devised by Lee et al. (2003), based on the residuals from GARCH models. A simulation study shows that a parameter change in GARCH models can mislead analysts to choose an IGA...

We analyze volatility contagion between the U.S. and Chinese stock markets international capital markets. The is modeled using: GARCH, TARCH, EGARCH, APARCH, IGARCH, FIGARCH, ACGARCH GAS models under Gaussian, GED t-Student distributions. 21,000 intraday observations of thirteen from January/1st to June/25th 2020 are employed. Once modeled, incidence American on rest bourses tested employing Ve...

This paper uses the data of Japan’s and Korea’s exchange rates to discuss the model construction and their associations between Japan’s and Korea’s terms exchange rate markets. The empirical results show that the mutual affects of Japan’s and Korea’s exchange rate markets may construct in bivariate IGARCH (1, 1) model with a DCC. The empirical result also shows that the terms exchange rate mark...

This paper examines the forecasting properties of endogenous regime switching models for Swedish interest rate volatility. To obtain a valid statistic for determining the exact number of states, a Monte Carlo procedure is employed. The results point out the ability of regime switching models to account for even very large degrees of leptokurtosis. I evaluate the prognoses with the Diebold-Maria...

This paper analyses moment and near-epoch dependence properties for the general class of models in which the conditional variance is a linear function of squared lags of the process. It is shown how the properties of these processes depend independently on the sum and rate of convergence of the lag coefficients, the former controlling the existence of moments, and the latter the memory of the v...

The environmental literature lacks the use of volatility based models for environmental stochastic processes. To overcome this deficiency, we use EGARCH, IGARCH, TGARCH, GJR-GARCH, NGARCH, AVGARCH and APARCH models for functional relationships of the pathogen indicators time series for recreational activates at beaches. We use generalized error, Student’s t, exponential, normal and normal inver...