The conditional capital asset pricing model is applied to foreign currency futures prices, covariance risk being measured relative to excess returns from a broadly diversified portfolio of equities. Positive time-varing risk premia are found in all five currencies tested when the difference...

We analyse the impact of volatility per se on real exports for a small open economy concentrating on Irish trade with the UK and the US. An important element is that we take account of the time lag between the trade decision and the actual trade or payments taking place by using a flexible lag...

Introducing an asymmetric DCC model for examining exchange rate correlations, and applying it to the Australian and Kiwi dollars, we show that the two currencies are more correlated during appreciations than during depreciations, consistent with the policy objective of Reserve Bank of New Zealand

This paper presents a new approach for modelling the connectedness between asset returns. We adapt the measure of Diebold and Y¸lmaz (2014), which is based on the forecast error variance decomposition of a VAR model. However, their connectedness measure hinges on critical assumptions with...

This paper introduces the Inverse Gamma (IGa) stochastic volatility model with time-dependent parameters, defined by the volatility dynamics dVt = κt.(θt − Vt).dt λt.Vt.dBt. This non-affine model is much more realistic than classical affine models like the Heston stochastic volatility...

We develop a global vector autoregressive model to study the transmission of information between currency spot markets. Our model accounts for both simultaneous and dynamic interactions between exchange rates and order flows using historical data from the Reuters Dealing 2000 – 1 platform for...

Asset prices tend to undergo wide swings around long-run equilibrium values which can have detrimental effects on the real economy. To get a better understanding of how the financial sector and the real economy interact this paper models the long swings in the Swiss franc-US dollar foreign...

This paper presents a new approach for modelling the connectedness between asset returns. We adapt the measure of Diebold and Yılmaz (2014), which is based on the forecast error variance decomposition of a VAR model. However, their connectedness measure hinges on critical assumptions with...

We develop a global vector autoregressive model to study the transmission of information between currency spot markets. Our model accounts for both simultaneous and dynamic interactions between exchange rates and order flows using historical data from the Reuters Dealing 2000–1 platform for...

In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...