Linear models reach their limitations in applications with nonlinearities in the data. In this paper we provide new empirical evidence on the relative Euro inflation forecasting performance of linear and nonlinear models. The well established and widely used univariate ARIMA and multivariate VAR...

This paper investigates whether investors are compensated for taking on commonality risk in equity portfolios. A large literature documents the existence and the causes of commonality in illiquidity, but the implications for investors are less well understood. In a more than fifty year long...

This paper provides the most fully comprehensive evidence to date on whether or not monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s. We explore a wide range of different definitions of money, including different methods of aggregation and different...

We develop the principal component analysis (PCA) approach to systematic liquidity measurement by introducing moving and expanding estimation windows. We evaluate these methods along with traditional estimation techniques (full sample PCA and market average) in terms of ability to explain (1)...

This paper investigates whether investors are compensated for taking on commonality risk in equity portfolios. A large literature documents the existence and the causes of commonality in illiquidity, but the implications for investors are less understood. We find a return premium for commonality...

In this paper we compare the performance of three indices in an inflation forecasting experiment. The evidence not only suggests that an evolved neural network is superior to traditionally trained networks in the majority of cases, but also that a risky money index performs at least as well as...

This study is the first of its kind to focus on the effect of interest-rate tiers on aggregate measures of the monetary services flow. We address the role and impact of measurement errors in building monetary index numbers directly. Using a unique data set obtained from Barclays Bank plc, we...

In the Full-Scale Optimization approach the complete empirical financial return probability distribution is considered, and the utility maximising solution is found through numerical optimization. Earlier studies have shown that this approach is useful for investors following non-linear utility...