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...

Abstract EU power market design has been focused on facilitating trading between countries and for this has defined interfaces for market participants and TSOs between countries. The operation of power systems and markets within countries was not the focus of these developments. This may have...

In current power markets, the bulk of electricity is sold wholesale and transported to consumers via long-distance transmission lines. Recently, decentralized local power markets have evolved, often as isolated networks based on solar generation. We analyze strategic pricing, investment, and...

We revisit key elements of European power market design with respect to both short term operation and longer-term investment and re-investment choices. For short term markets, the European policy debate focuses on the definition of common interfaces, like for example gate closure time. We argue...

This paper aims to assess the role of expectations as a determinant of the real price of natural gas. To measure expectations-driven speculative demand three approaches are followed, which are based respectively on using natural gas inventories consistently with the theory of storage (Kilian and...

This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41...

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...

This paper examines the degree of persistence in the volatility of financial time series using a Long Memory Stochastic Volatility (LMSV) model. Specifically, it employs a Gaussian semiparametric (or local Whittle) estimator of the memory parameter, based on the frequency domain, proposed by...

This paper analyses the long-memory properties of high frequency financial time series. It focuses on temporal aggregation and the influence that this might have on the degree of dependence of the series. Fractional integration or I(d) models are estimated with a variety of specifications for...

This paper focuses on nominal exchange rates, specifically the US dollar rate vis-à-vis the Euro and the Japanese Yen at a daily frequency. We model both absolute values of returns and squared returns using long-memory techniques, being particularly interested in volatility modelling and...