We propose a new approach to sample unobserved states conditional on available data in (conditionally) linear unobserved component models when some of the observations are missing. The approach is based on the precision matrix of the states and model variables, which is sparse and banded in many...

This paper analyses the effects of borrower-specific credit constraints on macroeconomic outcomes in an agent-based housing market model, calibrated using U.K. household survey data. We apply different Loan-to-Value (LTV) caps for different types of agents: first-time-buyers, second and...

Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables depends on the implemented techniques and the type of source on which...

Options on two underlyings are a common exotic product in the equity and FX derivatives market. The value of these kinds of options depends on the correlation of the two underlyings. We will present a model to compute a lower bound for the price of this option. The model, represented by a...

We decompose the economic implications of the Kyoto Protocol at the cross-country level, splitting the total economic impact for each region into contributions from its own emission abatement policy and those from other regions. Our analysis which is based on a large-scale computable general...