A külkereskedelem tényei egy új perspektívából

Arbeitspapier

The article uses continuous wavelet analysis for the study of certain export-import time series. It is a novel methodology, with the promise, inter alia, to detect features of processes that may remain hidden for traditional methodologies. The application of wavelets has been rapidly increasing in economics and finance, but to our best knowledge, it has never been used to analyse trade data. In this study export-import series of 10 EU economies and the EU28 are studied. Our results bear on trade forecasting: it seems that the 2008 crisis increased the cohesion of trade in the short term only temporarily, and one can expect significant co-movement only at scales of 3 years and above. Also, we suggest a new classification of small EU economies with respect to integration, inducing interesting new research questions.

Object Details

• ISBN: 978-615-5754-11-1
• Language: Ungarisch

References and Relationships

• Bibliographic citation: Series: IEHAS Discussion Papers ; No. MT-DP - 2017/21

Classification and Topics

• Classification: Wirtschaft ; Empirical Studies of Trade ; Economic Integration
• Subject: Wavelet Analysis ; Trade Integration ; European Union

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Gábor, Uliha ; János, Vincze
• Event: Veröffentlichung
• (who): Hungarian Academy of Sciences, Institute of Economics
• (where): Budapest
• (when): 2017

Further information

• Handle: http://hdl.handle.net/10419/190482
• Last update: 10.03.2025, 11:42 AM CET