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Modeling the Volatility of Bitcoin Returns Using EGARCH Method

Yıl 2021, , 787 - 800, 30.04.2021
https://doi.org/10.19168/jyasar.861308

Öz

The development process in financial markets give rise to the emergence of various financial instruments and cryptocurrencies, which are the newest tools of this process, are trying to integrate into the system. Even though the use of crypto-currencies for investment and speculation has increased, limited information on the market leads to high level of volatility in price and return. Therefore, this study aims to analyze the volatility dynamics of the returns of Bitcoin, which is the cryptocurrency with the largest market volume, using the weekly data set for 2013:04-2020:09 period. In this context, Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) model is employed to investigate the asymmetric volatility, which refers to the asymmetric effects of positive and negative shocks. The results of the analysis show that the leverage effect applies to Bitcoin returns. In other words, the asymmetric effect between good and bad news is revealed. Moreover, the fact that the parameter of the volatility resistance has a high value reflects that the asymmetric past period shocks have a significant effect on the current period conditional variance

Kaynakça

  • Kasper, J. (2017). “Evolution of Bitcoin: Volatility Comparisons with Least Developed Countries Currencies”, SSRN Elecronic Journal, 1–22, https://ssrn.com/abstract=3052207.
  • Koutmos, D. (2018). “Bitcoin Returns and Transaction Activity”, Economics Letters, 167, 81-85.
  • Li, X. and Wang, C.A. (2017). “The Technology and Economic Determinants of Cryptocurrency Exchange Rates: The case of Bitcoin”, Decision Support Systems, 95: 49–60.

Modeling the Volatility of Bitcoin Returns Using EGARCH Method

Yıl 2021, , 787 - 800, 30.04.2021
https://doi.org/10.19168/jyasar.861308

Öz

The development process in financial markets give rise to the emergence of various financial instruments and cryptocurrencies, which are the newest tools of this process, are trying to integrate into the system. Even though the use of crypto-currencies for investment and speculation has increased, limited information on the market leads to high level of volatility in price and return. Therefore, this study aims to analyze the volatility dynamics of the returns of Bitcoin, which is the cryptocurrency with the largest market volume, using the weekly data set for 2013:04-2020:09 period. In this context, Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) model is employed to investigate the asymmetric volatility, which refers to the asymmetric effects of positive and negative shocks. The results of the analysis show that the leverage effect applies to Bitcoin returns. In other words, the asymmetric effect between good and bad news is revealed. Moreover, the fact that the parameter of the volatility resistance has a high value reflects that the asymmetric past period shocks have a significant effect on the current period conditional variance

Kaynakça

  • Kasper, J. (2017). “Evolution of Bitcoin: Volatility Comparisons with Least Developed Countries Currencies”, SSRN Elecronic Journal, 1–22, https://ssrn.com/abstract=3052207.
  • Koutmos, D. (2018). “Bitcoin Returns and Transaction Activity”, Economics Letters, 167, 81-85.
  • Li, X. and Wang, C.A. (2017). “The Technology and Economic Determinants of Cryptocurrency Exchange Rates: The case of Bitcoin”, Decision Support Systems, 95: 49–60.
Toplam 3 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Demet Eroğlu Sevinç 0000-0003-3510-8970

Gönül Yüce Akıncı 0000-0002-5900-7114

Yayımlanma Tarihi 30 Nisan 2021
Yayımlandığı Sayı Yıl 2021

Kaynak Göster

APA Eroğlu Sevinç, D., & Yüce Akıncı, G. (2021). Modeling the Volatility of Bitcoin Returns Using EGARCH Method. Yaşar Üniversitesi E-Dergisi, 16(62), 787-800. https://doi.org/10.19168/jyasar.861308
AMA Eroğlu Sevinç D, Yüce Akıncı G. Modeling the Volatility of Bitcoin Returns Using EGARCH Method. Yaşar Üniversitesi E-Dergisi. Nisan 2021;16(62):787-800. doi:10.19168/jyasar.861308
Chicago Eroğlu Sevinç, Demet, ve Gönül Yüce Akıncı. “Modeling the Volatility of Bitcoin Returns Using EGARCH Method”. Yaşar Üniversitesi E-Dergisi 16, sy. 62 (Nisan 2021): 787-800. https://doi.org/10.19168/jyasar.861308.
EndNote Eroğlu Sevinç D, Yüce Akıncı G (01 Nisan 2021) Modeling the Volatility of Bitcoin Returns Using EGARCH Method. Yaşar Üniversitesi E-Dergisi 16 62 787–800.
IEEE D. Eroğlu Sevinç ve G. Yüce Akıncı, “Modeling the Volatility of Bitcoin Returns Using EGARCH Method”, Yaşar Üniversitesi E-Dergisi, c. 16, sy. 62, ss. 787–800, 2021, doi: 10.19168/jyasar.861308.
ISNAD Eroğlu Sevinç, Demet - Yüce Akıncı, Gönül. “Modeling the Volatility of Bitcoin Returns Using EGARCH Method”. Yaşar Üniversitesi E-Dergisi 16/62 (Nisan 2021), 787-800. https://doi.org/10.19168/jyasar.861308.
JAMA Eroğlu Sevinç D, Yüce Akıncı G. Modeling the Volatility of Bitcoin Returns Using EGARCH Method. Yaşar Üniversitesi E-Dergisi. 2021;16:787–800.
MLA Eroğlu Sevinç, Demet ve Gönül Yüce Akıncı. “Modeling the Volatility of Bitcoin Returns Using EGARCH Method”. Yaşar Üniversitesi E-Dergisi, c. 16, sy. 62, 2021, ss. 787-00, doi:10.19168/jyasar.861308.
Vancouver Eroğlu Sevinç D, Yüce Akıncı G. Modeling the Volatility of Bitcoin Returns Using EGARCH Method. Yaşar Üniversitesi E-Dergisi. 2021;16(62):787-800.