Financial Asset Returns and Volatility Spillovers Across Developed Markets: Evidence From The DCC-GARCH Approach
Öz
Anahtar Kelimeler
Kaynakça
- AbduL Aziz, N. S., Vrontos, S. & Hasim, H. M. (2019). EvaLuation of muLtivariate GARCH modeLs in an optimaL asset aLLocation framework. North American Journal of Economics and Finance, 47, 568-596. google scholar
- BoLLersLev, T. (1990). ModeLLing the coherence in short-run nominaL exchange rates: A MuLtivariate GeneraLized ARCH ModeL. Review of Economics and Statistics, 72, 498-505. google scholar
- Buyukkara, G., Kucukozmen, C. C. & UysaL, E. T. (2022). OptimaL hedge ratios and hedging effectiveness: An anaLysis of the Turkish futures market. Borsa İstanbul Review, 22(1), 92-102 google scholar
- CapieLLo, L., EngLe, R. F. Sheppard, K. (2006). Asymmetric dynamics in the correLations of gLobaL equity and bond returns. Journal of Econometrics, 4(4), 537-572. google scholar
- Chen, Y., Zheng, B. & Qu, F. (2020). ModeLing the nexus of crude oiL, new energy, and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach. Resources Policy, 65. google scholar
- CeLik, S. (2012). The more contagion effect on emerging markets: The evidence of DCC-GARCH modeL. Economic Modelling, 29(5), 1946-1959. google scholar
- Efimova, O. & SerLetis, A. (2014). Energy markets voLatiLity modeLing using GARCH. Energy Economics, 43, 264-273. google scholar
- EngLe, R. F. (2002). Dynamic conditionaL correLation: A simpLe cLass of muLtivariate GARCH modeLs. Journal of Business and Economic Statistics, 20(3), 339-350. google scholar
Ayrıntılar
Birincil Dil
İngilizce
Konular
Uygulamalı Makro Ekonometri, Zaman Serileri Analizi
Bölüm
Araştırma Makalesi
Yazarlar
Ahmet Usta
*
0000-0001-9899-8072
Türkiye
Yayımlanma Tarihi
26 Aralık 2025
Gönderilme Tarihi
30 Ocak 2025
Kabul Tarihi
17 Haziran 2025
Yayımlandığı Sayı
Yıl 2025 Sayı: 43