A Non-Linear Analysis of Gibson’s Paradox

Guglielmo Maria Caporale, Marinko Skare


Keynes (1930) considered the Gibson’s relation as “most completely established empirical fact”. In contrast to the previous literature, this paper adopts a multivariate, nonlinear framework to analyse Gibson’s paradox in the Netherlands over the period 1800-2012. Specifically, SSA (Singular Spectrum Analysis) and MSSA (Multichannel Singular Spectrum Analysis) techniques are used. It is shown that changes in monetary policy regimes or volatility in the price of gold by themselves cannot account for the behaviour of government bond yields and prices over the last 200 years. However, the inclusion of changes in the real rate of return on capital, M1, primary credit rate, expected inflation, and money purchasing power enables a nonlinear model to account for a sizeable percentage of the total variance of Dutch bond yields. This is a novel study of the Gibson’s paradox using a non-linear approach unravelling the multidimensional nature of the paradox. The results should assist policy makers in setting monetary policy and help to better understand the behaviour of financial institutions on the markets. Central banks, should however evaluate the implication of this study in setting inflation targeting goals. Results of this study are also expected to stimulate further research on the bank credit policies by managing interest rates.

DOI: http://dx.doi.org/10.5755/j01.ee.29.4.20403


Gibson’s paradox, Singular spectrum analysis, Interest rates, Causality, The Netherlands

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Print ISSN: 1392-2785
Online ISSN: 2029-5839