This paper investigates codependent cycles, i.e. transitory components that react to common stimuli in a similar, although not necessarily synchronous fashion. In a multivariate system, codependence corresponds to an impulse response function that is collinear except for a small number of...

This paper develops a theoretical model to explore the relationship between openness to trade and long-term income inequality. Empirical evidence on the issue is mixed, though greater inequality is often cited as a possible cost of trade liberalization. To quantify the effect of liberalization...

The paper revisits dynamic term structure models (DTSMs) and proposes a new way in dealing with the limitation of the classical affine models. In particular, this paper expands the flexibility of the DTSMs by applying a fractional Brownian motion as the governing force of the state variable...

We measure the economic capital stock of money implied by the Divisia monetary aggregate service flow, in a manner consistent with asset pricing theory. Based on Barnett’s [4] definition of the economic stock of money, we estimate the expected discounted flow of expenditure on the...

Understanding the value a customer has to a business is a fundamental problem. Accurate valuations are critical for setting appropriate levels of investment for targeted marketing and for the setting of individual customer service levels. Traditionally semi-qualitative methods using results from...

We use parametric power ARCH models of the conditional variance of inflation and monthly data in Germany, the Netherlands and Sweden for the period 1962-2004 to examine the relationship between inflation and inflation uncertainty. In two out of the three countries inflation significantly raises...

I consider two filtering algorithms (quadrature and mixture Gaussian) based on numerical integration for maximum likelihood estimation of stochastic volatility models with leverage. These algorithms extend straightforwardly to stochastic volatility models with non-Gaussian innovations. A small...

In this paper we explore the forecasting value of historical volatility (extracted from daily return series), of implied volatility (extracted from option pricing data) and of realised volatility (computed as the sum of squared high frequency returns within a day). First we consider unobserved...