This paper estimates a bivariate VAR-GARCH(1,1) model to examine linkages between food and energy prices. The adopted framework is suitable to analyse both mean and volatility spillovers, and also allows for possible parameter shifts resulting from four recent events, namely: 1) the 2006 food...

This paper analyses the long-memory properties of a high-frequency financial time series dataset. It focuses on temporal aggregation and other features of the data, and how they might affect the degree of dependence of the series. Fractional integration or I(d) models are estimated with a...

This paper investigates the effects of equity and bond portfolio in.ows on exchange rate volatility, using monthly bilateral data for the US vis-a-vis eight Asian developing and emerging countries (India, Indonesia, South Korea, Pakistan, Hong Kong, Thailand, the Philippines, and Taiwan) over...

This paper uses the endogenous regime switching model with dynamic feedback and interactions developed by Chang et al. (2023) to estimate global food price mean and volatility indicators, the latter measuring uncertainty and risk in the global food market. Both are then included in structural...

This paper analyses the effects of oil prices and exchange rates on sectoral stock returns in the BRICS-T countries over the period from 2 January 2001 to 22 March 2021. After estimating a benchmark linear model, the possible presence of structural breaks is investigated using the Bai and Perron...

This paper examines the asymmetric impact of economic policy uncertainty (EPU) and oil price uncertainty (OPU) on inflation by using a Nonlinear ARDL (NARDL) model, which is compared to a benchmark linear ARDL one. Using monthly data from the 1990s until August 2022 for a number of developed and...

This paper examines global (mature market) and regional (emerging market) spillovers in local emerging stock markets. Tri-variate VAR GARCH(1,1)-in-mean models are estimated for 41 emerging market economies (EMEs) in Asia, Europe, Latin America, and the Middle East. The models capture a range of...

We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...