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INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS

Yıl 2021, Cilt: 9 Sayı: Iconat Special Issue 2021, 1 - 6, 24.12.2021
https://doi.org/10.20290/estubtdb.1009353

Öz

Today, people provide information through different channels. The information channels used can affect the decision-making mechanism due to asymmetric information or different tendencies. Especially in recent years, people use social media to reach information quickly. Therefore, notifications made on social media reveal economic results. Cryptocurrencies are digital currencies intended to be used as currency. Unlike their traditional financial rivals, cryptocurrencies are not backed by a central bank or authority.
The success of cryptocurrencies depends on its infrastructure, the block chain. Especially in recent years, the popularity of cryptocurrencies has increased. After the popularization of cryptocurrencies, digital currencies are discussed more especially in the media. In addition to the positive features, negative features are also included in the media. There are concerns about the misuse of cryptocurrencies. It is mentioned that cryptocurrencies provide financing for criminal organizations and are used in money laundering. In addition to these, it is reported that cryptocurrencies are used for tax evasion.
The lack of intrinsic value of cryptocurrencies puts investors in trouble in terms of investment and price determination. Cryptocurrencies, which are digital currencies, have many digital price determinants such as social media. Two different objectives were determined in this study. The first is the detection of the presence of bubbles in Dodgecoin prices. The second is the examination of the relationship between bubbles and tweeter notifications. In the study, Dodgecoin prices between May 2020 and May 2021 are examined with the GSADF test. From May 2020 until May 2021, 10 different price bubbles are observed. Some bubbles can be associated with tweets by Elon Musk. However, the biggest bubble observed, the April 2021 price bubble, is due to a different reason.

Kaynakça

  • [1] Coinmarketcap. Accessed: September. 1, 2021. [Online]. Available: https:// coinmarketcap.com/
  • [2] Liu XF, Jiang XJ, Liu SH, Tse CK. Knowledge discovery in cryptocurrency transactions: a survey. IEEE Access 2021; 9, 37229-37254.
  • [3] Dogecoin. 2021: Retrieved from https://dogecoin.com/
  • [4] Dawkins R, Davis N. The Selfish Gene, Macat Library: 2017.
  • [5] Sato A. 2010: Taking a walk with Kabosu-chan. Retrieved from https://kabosu112.exblog.jp/ 9944144/
  • [6] Young I, Dogecoin: A Brief Overview & Survey, 2018; Available at SSRN 3306060.
  • [7] Musk E. 2021: Elon Musk Biography. https://www.biography.com/business-figure/elon-musk (accessed 03.09.21).
  • [8] Musk E. 2020: Tweet 18 Jul 2020: It’s inevitable + Dogecoin picture https://twitter.com/elon musk/status/1284291528328790016 (accessed 03.09.21)
  • [9] Musk E. 2020: Tweet 20 Dec 2020: One word: Doge https://twitter.com/elonmusk/status /1340590280848908288 (accessed 03.09.21)
  • [10] Musk E. 2020: Tweet 25 Dec 2020: Merry Christmas & happy holidays! + Doge picture https://twitter.com/elonmusk/status/1342512194383007745 (accessed 03.09.21)
  • [11] Musk E. 2021: Tweet 28 Jan 2021: Dogue picture https://twitter.com/elonmusk/status /1354924057825837060 (accessed 03.09.21)
  • [12] Musk E, (2021c). Tweet 16 May 2021: Ideally Dogue steps up https://twitter.com/ elonmusk/status/1393738154889338884 (accessed 03.09.21)
  • [13] Brans H, Scholtens B. Under his thumb the effect of president Donald Trump’s Twitter messages on the US stock market. PloS one 2020; 15(3), e0229931.
  • [14] Cheung, A., Roca, E., Su, J. J. Crypto-currency bubbles: an application of the Phillips–Shi–Yu (2013) methodology on Mt. Gox bitcoin prices. Applied Economics 2015; 47(23), 2348-2358.
  • [15] Ceylan F, Ekinci R, Tüzün O, Kahyaoğlu H. Kripto para piyasasında balonların tespiti: Bitcoin ve Ethereum örneği. Business & Management Studies: An International Journal 2018; 6(3), 263-274.
  • [16] Mete S, Koy A, Ersoy H. Kripto paralarda fiyat balonu incelemesi. BDDK Bankacılık ve Finansal Piyasalar 2019; 13(1): 105-120.
  • [17] Choi H. Investor attention and bitcoin liquidity: Evidence from bitcoin tweets. Finance Research Letters 2021; 39, 101555.
  • [18] Philippas D, Rjiba H, Guesmi K, Goutte S. Media attention and Bitcoin prices. Finance Research Letters 2019; 30, 37-43.
  • [19] Shen D, Urquhart A & Wang P. Does twitter predict Bitcoin?. Economics Letters 2019; 174, 118-122.
  • [20] Kırıkkaleli D, Cağlar E, Onyibor K. Crypto-currency: Empirical evidence from GSADF and wavelet coherence techniques. Accounting 2020; 6(2), 199-208.
  • [21] Phillips PCB, Shi SPS, Yu J. Testing for multiple bubbles. Yale University 2011; Working Paper No. 1843
  • [22] Akçalı B, Şişmanoğlu E. Kripto para birimleri arasındaki ilişkinin Toda–Yamamoto nedensellik testi ile analizi. EKEV Akademi Dergisi 2019; 23 (78), 99-122.

INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS

Yıl 2021, Cilt: 9 Sayı: Iconat Special Issue 2021, 1 - 6, 24.12.2021
https://doi.org/10.20290/estubtdb.1009353

Öz

Today, people provide information through different channels. The information channels used can affect the decision-making mechanism due to asymmetric information or different tendencies. Especially in recent years, people use social media to reach information quickly. Therefore, notifications made on social media reveal economic results. Cryptocurrencies are digital currencies intended to be used as currency. Unlike their traditional financial rivals, cryptocurrencies are not backed by a central bank or authority.
The success of cryptocurrencies depends on its infrastructure, the block chain. Especially in recent years, the popularity of cryptocurrencies has increased. After the popularization of cryptocurrencies, digital currencies are discussed more especially in the media. In addition to the positive features, negative features are also included in the media. There are concerns about the misuse of cryptocurrencies. It is mentioned that cryptocurrencies provide financing for criminal organizations and are used in money laundering. In addition to these, it is reported that cryptocurrencies are used for tax evasion.
The lack of intrinsic value of cryptocurrencies puts investors in trouble in terms of investment and price determination. Cryptocurrencies, which are digital currencies, have many digital price determinants such as social media. Two different objectives were determined in this study. The first is the detection of the presence of bubbles in Dodgecoin prices. The second is the examination of the relationship between bubbles and tweeter notifications. In the study, Dodgecoin prices between May 2020 and May 2021 are examined with the GSADF test. From May 2020 until May 2021, 10 different price bubbles are observed. Some bubbles can be associated with tweets by Elon Musk. However, the biggest bubble observed, the April 2021 price bubble, is due to a different reason.

Kaynakça

  • [1] Coinmarketcap. Accessed: September. 1, 2021. [Online]. Available: https:// coinmarketcap.com/
  • [2] Liu XF, Jiang XJ, Liu SH, Tse CK. Knowledge discovery in cryptocurrency transactions: a survey. IEEE Access 2021; 9, 37229-37254.
  • [3] Dogecoin. 2021: Retrieved from https://dogecoin.com/
  • [4] Dawkins R, Davis N. The Selfish Gene, Macat Library: 2017.
  • [5] Sato A. 2010: Taking a walk with Kabosu-chan. Retrieved from https://kabosu112.exblog.jp/ 9944144/
  • [6] Young I, Dogecoin: A Brief Overview & Survey, 2018; Available at SSRN 3306060.
  • [7] Musk E. 2021: Elon Musk Biography. https://www.biography.com/business-figure/elon-musk (accessed 03.09.21).
  • [8] Musk E. 2020: Tweet 18 Jul 2020: It’s inevitable + Dogecoin picture https://twitter.com/elon musk/status/1284291528328790016 (accessed 03.09.21)
  • [9] Musk E. 2020: Tweet 20 Dec 2020: One word: Doge https://twitter.com/elonmusk/status /1340590280848908288 (accessed 03.09.21)
  • [10] Musk E. 2020: Tweet 25 Dec 2020: Merry Christmas & happy holidays! + Doge picture https://twitter.com/elonmusk/status/1342512194383007745 (accessed 03.09.21)
  • [11] Musk E. 2021: Tweet 28 Jan 2021: Dogue picture https://twitter.com/elonmusk/status /1354924057825837060 (accessed 03.09.21)
  • [12] Musk E, (2021c). Tweet 16 May 2021: Ideally Dogue steps up https://twitter.com/ elonmusk/status/1393738154889338884 (accessed 03.09.21)
  • [13] Brans H, Scholtens B. Under his thumb the effect of president Donald Trump’s Twitter messages on the US stock market. PloS one 2020; 15(3), e0229931.
  • [14] Cheung, A., Roca, E., Su, J. J. Crypto-currency bubbles: an application of the Phillips–Shi–Yu (2013) methodology on Mt. Gox bitcoin prices. Applied Economics 2015; 47(23), 2348-2358.
  • [15] Ceylan F, Ekinci R, Tüzün O, Kahyaoğlu H. Kripto para piyasasında balonların tespiti: Bitcoin ve Ethereum örneği. Business & Management Studies: An International Journal 2018; 6(3), 263-274.
  • [16] Mete S, Koy A, Ersoy H. Kripto paralarda fiyat balonu incelemesi. BDDK Bankacılık ve Finansal Piyasalar 2019; 13(1): 105-120.
  • [17] Choi H. Investor attention and bitcoin liquidity: Evidence from bitcoin tweets. Finance Research Letters 2021; 39, 101555.
  • [18] Philippas D, Rjiba H, Guesmi K, Goutte S. Media attention and Bitcoin prices. Finance Research Letters 2019; 30, 37-43.
  • [19] Shen D, Urquhart A & Wang P. Does twitter predict Bitcoin?. Economics Letters 2019; 174, 118-122.
  • [20] Kırıkkaleli D, Cağlar E, Onyibor K. Crypto-currency: Empirical evidence from GSADF and wavelet coherence techniques. Accounting 2020; 6(2), 199-208.
  • [21] Phillips PCB, Shi SPS, Yu J. Testing for multiple bubbles. Yale University 2011; Working Paper No. 1843
  • [22] Akçalı B, Şişmanoğlu E. Kripto para birimleri arasındaki ilişkinin Toda–Yamamoto nedensellik testi ile analizi. EKEV Akademi Dergisi 2019; 23 (78), 99-122.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Erdem Öncü 0000-0002-3506-5803

Yayımlanma Tarihi 24 Aralık 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 9 Sayı: Iconat Special Issue 2021

Kaynak Göster

APA Öncü, E. (2021). INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, 9(Iconat Special Issue 2021), 1-6. https://doi.org/10.20290/estubtdb.1009353
AMA Öncü E. INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. Aralık 2021;9(Iconat Special Issue 2021):1-6. doi:10.20290/estubtdb.1009353
Chicago Öncü, Erdem. “INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler 9, sy. Iconat Special Issue 2021 (Aralık 2021): 1-6. https://doi.org/10.20290/estubtdb.1009353.
EndNote Öncü E (01 Aralık 2021) INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 9 Iconat Special Issue 2021 1–6.
IEEE E. Öncü, “INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS”, Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler, c. 9, sy. Iconat Special Issue 2021, ss. 1–6, 2021, doi: 10.20290/estubtdb.1009353.
ISNAD Öncü, Erdem. “INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS”. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 9/Iconat Special Issue 2021 (Aralık 2021), 1-6. https://doi.org/10.20290/estubtdb.1009353.
JAMA Öncü E. INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2021;9:1–6.
MLA Öncü, Erdem. “INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, c. 9, sy. Iconat Special Issue 2021, 2021, ss. 1-6, doi:10.20290/estubtdb.1009353.
Vancouver Öncü E. INVESTIGATION OF DOGECOIN PRICE MOVEMENTS: A GSADF ANALYSIS. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2021;9(Iconat Special Issue 2021):1-6.