Rajan and Zingales (2003) hypothesize that openness—trade and financial—is a crucial determinant of financial development. The main policy implication emerging from this hypothesis is that openness should be promoted as a means of facilitating economic growth through financial development....

Noting that “one size does not fit all” in the case of the finance–development (FD) relationship, a growing body of literature has recently focused on uncovering economic conditions under which financial development could be beneficial (detrimental) to economic development. We look into...

Noting that 'one size does not fit all' in the case of the finance-growth (FG) nexus, a growing body of literature has recently focused on uncovering economic conditions under which financial development could be beneficial (detrimental) to economic development. We look into these conditions by...

Evidence on the causality between finance and growth is largely inconclusive. In this study, a large cross-sectional data set of 74 economies for the period between 1975 and 2005 is examined. We summarise evidence from in-sample and out-of-sample causality tests based on rolling estimation...

type="main" xml:lang="en" <title type="main">Abstract</title> <p>This paper re-examines the long-run finance-growth nexus in sub-Saharan Africa (SSA) using data from 17 countries over the period 1975–2005. We apply error correction-based panel cointegration tests that take into account cross-sectional dependence among...</p>

In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...

Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based...

In the empirical analysis of financial time series, multivariate GARCH models have been used in various forms. In most cases it is not well understood how the use of a restricted model has to be paid with loss of valuable information. We investigate the structural implications of two alternative...

Quasi maximum likelihood estimation and inference in multivariate volatility models remains a challenging computational task if, for example, the dimension is high. One of the reasons is that typically numerical procedures are used to compute the score and the Hessian, and often they are...

Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based...