KRİPTO PARA PİYASASINDA VOLATİL DAVRANIŞLARIN ASİMETRİK STOKASTİK VOLATİLİTE MODELİ İLE TESTİ
Öz
Anahtar Kelimeler
Kaynakça
- Akhtaruzzaman, M., Sensoy, A., & Corbet, S. (2020). The influence of bitcoin on portfolio diversification and design. Finance Research Letters, 37, 101344.
- Almansour, B., Alshater, M. & Almansour, A.(2021). Performance of ARCH and GARCH models in forecasting cryptocurrency market volatility. Industrial Engineering & Management Systems, 20(2), 130-139.
- Anavatan, A. & Kayacan, Y. (2019). Are Bitcoin returns predictable?. Journal of Current Researches on Business and Economics, 9(1), 13-22.
- Asai, M. & McAleer, M. (2005). Dynamic asymmetric leverage in stochastic volatility models. Econometric Reviews, 24(3), 317-332.
- Atanu, D., Kumar, D. & Basu, N. (2009). A Review on recent trends of stochastic volatility models. International Review of Applied Financial Issues and Economics, 1(1), 83-106.
- Balcilar, M., Bouri, E., Gupta, R. & Roubaud, D. (2017), Can volume predict Bitcoin returns and volatility? A quantiles-based approach. Economic Modelling, 64, 74-81.
- Baur, D. & Dimpfl, T. (2018). Asymmetric volatility in cryptocurrencies. Economics Letters, 173, 148-151.
- Bohte, R. & Rossini, L. (2019). Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models. Journal of Risk and Financial Management, 12(3), 150-168.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Finans
Bölüm
Araştırma Makalesi
Yazarlar
Magsud Gubadlı
*
0000-0003-0270-9526
Türkiye
Yayımlanma Tarihi
24 Mart 2023
Gönderilme Tarihi
15 Eylül 2022
Kabul Tarihi
29 Aralık 2022
Yayımlandığı Sayı
Yıl 2023 Cilt: 19 Sayı: 1
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Nişantaşı Üniversitesi Sosyal Bilimler Dergisi
https://doi.org/10.52122/nisantasisbd.1648751
