Credit-to-GDP ratios – non-linear trends and persistence: evidence from 44 OECD economies

Abstract

PurposeIn particular, in this article, the authors investigate the degree of persistence in the credit-to-gross domestic product (GDP) ratio in 44 Organisation for Economic Co-operation and Development (OECD) economies in the context of nonlinear deterministic trends.Design/methodology/approachThe authors use Chebyshev's polynomials in time, which allow us to model changes in the data in a smoother way than by structural breaks.FindingsThis study’s results indicate that approximately one-quarter of the series display non-linear structures, and only Argentina displays a mean reverting pattern.Research limitations/implicationsPolicy implications of the results obtained are discussed at the end of the manuscript.Originality/valueThe authors use an approach developed that allows for non-linear trends based on Chebyshev polynomials in time, with the residuals being fractionally integrated or integrated of order d, where d can be any real value.