We use a no-arbitrage term structure model of equity yields computed from the prices of dividend swaps to estimate the yields on hypothetical bonds with cash-flows indexed to the level of US GDP. This provides a novel approach for estimating the possible relative cost of conventional and...

Using data on government bond yields in Germany and the United States, we show that overseas unspanned factors — constructed from the components of overseas yields that are uncorrelated with domestic yields — have significant explanatory power for subsequent domestic bond returns. This...

Dynamic no-arbitrage term structure models are popular tools for decomposing bond yields into expectations of future short-term interest rates and term premia. But there is insufficient information in the time series of observed yields to estimate the unconditional mean of yields in maximally...

This paper evaluates the robustness of UK bond term premia from affine term structure models. We show that this approach is able to match standard specification tests. In addition, term premia display countercyclical behaviour and are positively related to uncertainty about future inflation,...

This paper extends a popular no-arbitrage affine term structure model to model jointly bond markets and exchange rates across the United Kingdom, United States and euro area. Using a monthly data set of forward rates from 1992, we first demonstrate that two global factors account for a...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have cautioned against the use of the DIC for comparing latent variable models. In particular, the DIC calculated using the conditional likelihood (obtained by conditioning on the...

The empirical support for a DSGE type of real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure that makes use of a finite mixture of many models within the class of vector autoregressive (VAR) processes. The linear VAR model is extended to...

The empirical support for a DSGE type of real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure that makes use of a finite mixture of many models within the class of vector autoregressive (VAR) processes. The linear VAR model is extended to...

The modified harmonic mean is widely used for estimating the marginal likelihood. We investigate the empirical performance of two versions of this estimator: one based on the observed-data likelihood and the other on the complete-data likelihood. Through an empirical example using US and UK...

The identification of reduced-form VAR model had been the subject of numerous debates in the literature. Different sets of identifying assumptions can lead to very different conclusions in the policy debate. This paper proposes a theoretically consistent identification strategy using...