KRİPTOPARA BİRİMLERİ PİYASASINDA PUMP&DUMP MANİPULASYONLARININ İKİ AŞAMALI ANALİZİ

Bu çalışma kapsamında, kripto para birimi piyasalarındaki manipülatif faaliyetlerin belgelenmesi ve yapısının incelenmesi amaçlanmıştır. Bu amaçla kripto para birimi piyasalarındaki fiyat sıçramaları iki aşamalı olarak analiz edilmiştir. Çalışmanın ilk aşamasında, bir kripto borsa olan Binance bünyesinde aktif bir hesap oluşturulmuş ve Telegram üzerinden haberleşen manipülasyon grupları ile birlikte hareket edilerek “Pump and Dump” tipi bir manipülasyona dahil olunmuştur. Deney kapsamında 30 saniye süren bir dizi işlem sonucunda %25 getiri elde edilmiştir.  Buna ek olarak, bu tür manipülasyonların işlem hacmi düşük olan genç piyasaları hedef aldığı tespit edilmiştir. Bu bulgulardan hareketle olgun piyasaların tepkilerini ölçme amacıyla, Bitcoin fiyat serisi üzerinde dakikalık frekansta 1.162.887 gözlem kullanılarak Jump-Difüzyon analizi gerçekleştirilmiştir. Analiz bulgularına göre kripto para birimlerinin belirli bir olgunluğa ulaştıktan sonra manipülasyonlara karşı bağışıklık kazandığı gözlemlenmiştir. Çalışma sonucunda teknolojik olarak daha başarılı olan yeni kripto para birimlerinin manipülasyonlardan kaynaklı sebeplerden dolayı talep görmediği sonucuna ulaşılmıştır. Bu doğrultuda, gelecek çalışmaların kripto para birimlerinde manipülasyonu önleyici yazılımsal bileşenler üzerine gerçekleştirilmesine dair önerilerde bulunulmuştur.

A TWO STAGE ANALYSIS OF PUMP & DUMP MANIPULATIONS ON THE CYRPTOCURRENCY MARKET

Aim of this study is to document and analyze the manipulative transactions in the cryptocurrency market. With this purpose, manipulative price jumps in the cryptocurrency markets are discussed in two stages. In the first stage of the study, an active account was created within Binance, a crypto stock exchange, and it was involved in pump and dump manipulations working with groups communicating over Telegram. As a result of a series of operations lasting only 30 seconds, a 25% rate of return was achieved. In addition, it has been determined that, these manipulations target young markets with low transaction volumes. Based on these findings, a Jump-Diffusion analysis was applied on Bitcoin price series using 1,162,887 high-frequency observations on Bitcoin price series for the purpose of measuring the reactions of mature markets to these manipulation attempts. According to findings, it was observed that cryptocurrencies gained immunity against manipulations after reaching a certain maturity. As a result of the study, it was concluded that new technologically successful crypto currencies were not in demand due to prevalence of manipulations. Future work has been advised to be made in the cryptocurrencies on the manipulation-preventing software components.

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  • Barndorff-Nielsen, O. E., ve Shephard, N. (2004) “Power and bipower variation with stochastic volatility and jumps”, Journal of financial econometrics, 2(1), ss.1 37.
  • Cartea, A., ve Figueroa, M. G. (2005) “Pricing in electricity markets: a mean reverting jump diffusion model with seasonality”, Applied Mathematical Finance, 12(4), ss.313 335.
  • Chen, C. Y., Härdle, W. K., Hou, A. J., ve Wang, W. (2018) “Pricing Cryptocurrency options: the case of CRIX and Bitcoin. Kaynak: https://ssrn.com/abstract=3159130
  • Darlington III, J. K. (2014) “The Future of Bitcoin: Mapping the Global Adoption of World’s Largest Cryptocurrency Through Benefit Analysis” Kaynak: https://trace.tennessee.edu/cgi/viewcontent.cgi?article=2741&context =utk_chanhonoproj
  • Glasserman, P., S. G. Kou. (1999) “The term structure of simple interest rates with jump risk.” Working paper, Columbia University, New York.
  • Gronwald, M. (2014) “The Economics of Bitcoins-Market Characteristics and Price Jumps”, CESifo Group Munich, 5(1), ss.2 1.
  • Kou, S. G. (2002) “A jump-diffusion model for option pricing”, Management science, 48(8), ss.1086 1101.
  • Kou, S. G., ve Wang, H. (2004) “Option pricing under a double exponential jump diffusion model”, Management science, 50(9), ss.1178 1192.
  • MacDonell, A. (2014) “Popping the Bitcoin bubble: An application of logperiodic power law modeling to digital currency” Notre Dame Üniversitesi Çalışma Notları.
  • Merton R.C. (1976) “Option pricing when underlying stock returns are discontinuous.”, Journal of financial economics, 3(1-2), ss.125-144.
  • Merton, R. C. (1976) “The impact on option pricing of specification error in the underlying stock price returns”, The Journal of Finance, 31(2), ss.333 350.
  • Phillip, A., Chan, J., ve Peiris, S. (2018) “On long memory effects in the volatility measure of Cryptocurrencies”, Finance Research Letters. Kaynak: https://www.sciencedirect.com/science/article/abs/pii/S154461231830 1120
  • Scaillet, O., Treccani, A., ve Trevisan, C. (2017) “High-frequency jump analysis of the bitcoin market”, Kaynak: http://dx.doi.org/10.2139/ssrn.2982298
  • Scott, L. O. (1997) “Pricing stock options in a jump‐diffusion model with stochastic volatility and interest rates: Applications of Fourier inversion methods”, Mathematical Finance, 7(4), ss.413 426.
  • Tankov, P., ve Voltchkova, E. (2009) “Jump-diffusion models: a practitioner’s guide”, Banque et Marchés, 99(1), ss.2 4.
  • Turpin, J. B. (2014) “Bitcoin: The economic case for a global, virtual currency operating in an unexplored legal framework”, Indiana Journal of Global Legal Studies, 21(1), ss.335 368.
  • Vigna, P., ve Casey, M. J. (2016) “The age of cryptocurrency: how bitcoin and the blockchain are challenging the global economic order”, Macmillan Yayınevi, İngiltere.
  • Vockathaler, B. (2015) “The Bitcoin Boom: An In Depth Analysis Of The Price Of Bitcoins”, Kaynak: http://hdl.handle.net/10393/32888
  • Zaki, M., Diaz, D., ve Theodoulidis, B. (2012) “Financial Market Service Architectures: A" Pump and Dump" Case Study”, SRII Global Conference, 1(1), ss. 554 563.