The Fed's policy rule shifts during different phases of the business cycle, particularly in relation to monetary easing and tightening phases. This finding is established through a dynamic mixture model, which estimates regime-dependent Taylor-type rules using US quarterly data from 1960 to...

We study the sensitivity of the realised loss-given-default (LGD) to macroeconomic conditions by exploring Global Credit's confidential dataset on observed cash flows from defaulted loans. Given the prolonged duration of loan recovery, spanning several years, and the potential for macroeconomic...

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets. Given the...

Digitalisation may be viewed as a sequence of supply and technology shocks affecting the economy through productivity and output, employment and labour markets, competition and market structure. This paper focuses on the effects of digitalisation on economic growth, and how those effects may be...