Economic and financial time series typically exhibit time varying conditional (given the past) standard deviations and correlations. The conditional standard deviation is also called the volatility. Higher volatilities increase the risk of assets, and higher conditional correlations cause an increased risk in portfolios. Therefore, models of time varying volatilities and correlations are essent...

In this paper we present a new type of multivariate GARCH model which we call the composed MGARCH and factor composed MGARCH models. We show sufficient conditions for the covariance stationarity of these processes and proof of the invariance of the models under linear combinations, an important property for factor modeling. Furthermore, we introduce an α-stable version of these models and fit a...

Purpose The study's purpose is to investigate the price volatility of four dairy commodities (skim milk powder [SMP], whole [WMP], butter and cheddar cheese) in three most significant regional markets (EU, Oceania US) international market. Design/methodology/approach study uses a panel-Generalized Autoregressive Conditional Heteroskedastic (panel-GARCH) modeling technique data from January 12, ...

T his paper investigates the existence of possible spillover effects among four main asset markets namely foreign exchange, stock, gold, and housing markets in Iran from 2002:03 to 2015:06. For this purpose, we have exploited Sigma-Point Kalman Filter (SPKF) to extract the bubble component of assets prices in the aforementioned Markets. Then, in order to analyze the price bubbles spi...

This paper investigates the conditional correlations and volatility spillovers between the dollar exchange rate return, gold coin return and crude oil return to stock index return. Monthly returns in the 144 observations (2005 - 2017) are analyzed by constant conditional correlation, dynamic conditional correlation, VARMA-GARCH and VARMA-AGARCH models. So this paper presents interdependences in...