How is corporate governance to be measured? Much past research has focused on forming an index but this approach ignores the correlations between the variables forming the index and may also carry redundant variables. Principal Component Analysis (PCA) is a possible solution to these issues by...

This study will consist of a fully comprehensive analysis of UK term structure of interest rates using the well known statistical model called the Principal Component Analysis (PCA) and it is considered as the main drive for a successful immunization strategy for the time period concerned. Term...

This paper investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known sentiment proxies. We show that this indicator explains the return...

This paper provides an empirical analysis on the determination of wages at the sectoral level in main industrial economies. Nominal wages are bargained between labour unions and employers in imperfect competitive markets, where spillovers across sectors might occur. Using a principal component...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...