Version 1
: Received: 15 May 2022 / Approved: 20 May 2022 / Online: 20 May 2022 (02:27:30 CEST)
How to cite:
Jiang, Z.; Arreola Hernandez, J.; McIver, R.P.; Yoon, S. Nonlinear Dependence and Spillovers between Currency Markets and Global Financial Market Variables. Preprints2022, 2022050265. https://doi.org/10.20944/preprints202205.0265.v1
Jiang, Z.; Arreola Hernandez, J.; McIver, R.P.; Yoon, S. Nonlinear Dependence and Spillovers between Currency Markets and Global Financial Market Variables. Preprints 2022, 2022050265. https://doi.org/10.20944/preprints202205.0265.v1
Jiang, Z.; Arreola Hernandez, J.; McIver, R.P.; Yoon, S. Nonlinear Dependence and Spillovers between Currency Markets and Global Financial Market Variables. Preprints2022, 2022050265. https://doi.org/10.20944/preprints202205.0265.v1
APA Style
Jiang, Z., Arreola Hernandez, J., McIver, R.P., & Yoon, S. (2022). Nonlinear Dependence and Spillovers between Currency Markets and Global Financial Market Variables. Preprints. https://doi.org/10.20944/preprints202205.0265.v1
Chicago/Turabian Style
Jiang, Z., Ron P. McIver and Seong-Min Yoon. 2022 "Nonlinear Dependence and Spillovers between Currency Markets and Global Financial Market Variables" Preprints. https://doi.org/10.20944/preprints202205.0265.v1
Abstract
The widespread integration and growing dependence among currency, stock and commodity markets make these markets often very vulnerable to shocks and at risk of collapse at the same time. As a result, these trends threaten the sustainability of the entire financial system. In this study, we explore the spillovers and nonlinear dependences between the seven major foreign ex-change rates, crude oil and gold prices, a global stock price index, and oil and stock implied volatility indices as proxy variables for global risk factors by em-ploying directional spillover network approach. We also use multi-scale de-composition method and nonlinear causality test between these variables to capture multi-level relationships at short and long horizons. Major findings are summarized as follows. First, from the multi-scale decomposition analysis, we identify that Granger causality test results and the direction and strength of return spillovers change with the level of decomposition. Second, the results of nonlinear causality tests show variation in both the significance and direction of Granger causality relationships between the decomposed currency and other series at different timescales, especially for the decomposed oil, gold, and OVX series. Third, the measured directional spillover indices identify the EUR as the largest contributor of connectedness to the other series. The central role of the EUR is a net transmitter of connectedness to gold, oil, the GBP, JPY, and CHF.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
