Disentangling the enigma of multi-structured economic cycles - A new appearance of the golden ratio
Autor: | E.A. (Bert) de Groot, D. Prins, R. Segers |
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Přispěvatelé: | Erasmus School of Economics, Econometrics |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
020209 energy
Autoregressive conditional heteroskedasticity 05 social sciences 02 engineering and technology Oecd countries Development theory Stability (probability) Gross domestic product Regression Management of Technology and Innovation 0502 economics and business 0202 electrical engineering electronic engineering information engineering Econometrics Business cycle Golden ratio Business and International Management 050203 business & management Applied Psychology Mathematics |
Zdroj: | Technological Forecasting and Social Change, 169:120793. Elsevier Inc. |
ISSN: | 0040-1625 |
Popis: | We study whether there is an interrelationship between the lengths of economic cycles. Such an interrelationship would be helpful to signal future economic downturns, thus to alleviate economic and societal distress. To detect the lengths of economic cycles, we introduce an improved method, where Fourier analysis is coupled with GARCH regression, mixed distribution estimation, and harmonic regression. We apply our methodology to detect cycles in percentage GDP growth in 25 OECD countries, and in Europe. The results indicate that in each economy, between two and five cycles are present. Cycles with a length between 5–6 years and between 9–10 years appear most frequently. A meta-analysis on the detected cycle lengths reveals that the ratio between the lengths of consecutive cycles often closely matches the golden ratio, ϕ. Interestingly, this finding opposes several existing theories about multi-cycle structures, which imply that the lengths of shorter cycles should be integer fractions of the lengths of longer cycles. Our paper thus provides a new direction for theory development regarding economic cycles and dynamic stability. |
Databáze: | OpenAIRE |
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