Using data from more than 100 economies for the period of 1975 to 2005, we conduct an extensive empirical analysis of the determinants of international reserve holdings. Four groups of determinants, namely, traditional macro variables, financial variables, institutional variables, and dummy...

The literature on the finance-growth nexus highlights the importance of the financial cycle for the estimation of potential output of an economy. We estimate potential output growth for the G-5 countries, as well as for 10 high- and middle-income Asian economies, using a multivariate model that...

We explore whether finance influences the impact of labour market institutions on unemployment. Using a data set of 18 OECD countries over 1980-2004, we estimate a panel VectorAutoRegressive model. We check whether causalities from labour market variables to unemployment are affected by...

We estimate a New-Neoclassical Synthesis model of the business cycle with two investment shocks. The first, an investment-specific technology shock, affects the transformation of consumption into investment goods and is identified with the relative price of investment. The second shock affects...

The paper discusses the possibility that the workings of the financial system contributed the boom-bust cycle in the Finnish credit market since the mid-1980s.We begin with a review of the most prominent theoretical arguments about the role of "financial factors".Also the main findings of a vast...

The literature on the finance-growth nexus highlights the importance of the financial cycle for the estimation of potential output of an economy. We estimate potential output growth for the G-5 countries, as well as for 10 high- and middle-income Asian economies, using a multivariate model that...

In this paper, we propose a model based on multivariate decomposition of multiplicative - absolute values and signs - components of several returns. In the m-variate case, the marginals for the m absolute values and the binary marginals for the m directions are linked through a 2m-dimensional...

We examine a kernel regression smoother for time series that takes account of the error correlation structure as proposed by Xiao et al. (2008). We show that this method continues to improve estimation in the case where the regressor is a unit root or near unit root process.