Yüksel Akay Ünvan

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Cryptocurrencies, which have begun to become an important rival to cash due to the changing lifestyle and technological developments, are gradually increasing their coverage area. Whether Bitcoin prices, which have exhibited different behaviors over the years since the day they were developed, are on a rational basis has become an important topic of discussion. Within the scope of this study, bitcoin prices between 2010 and 2023 were analyzed and factors that could make price behavior meaningful were tried to be determined. In addition, a forecast was also made in which Bitcoin prices for the coming years were calculated on a daily basis together with various statistical parameters using the the triple exponential smoothing method based on same historical data, and the results were discussed from various perspectives. In Bitcoin prices, which change mainly within the framework of supply and demand balance, attention has been drawn to the importance of different factors such as rational or irrational herd behavior, decisions taken about Bitcoin or news that may affect this balance and fall within the scope of behavioral finance. Along with the behavioral finance parameters that will make Bitcoin price behavior meaningful, it may not always be possible to attribute some changes in the relevant data to a specific reason. The main view supporting this situation is based on the personal nature of cryptocurrency itself.


Bitcoin, Bitcoin Price Behaviour, Behavioral Finance

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W. Tong & C. Jiayou, "A study of the economic impact of central bank digital currency under global competition", China Economic Journal, vol. 14, no. 1, pp. 78–101, 2021.

A. Mikhaylov, "Cryptocurrency market analysis from the open innovation perspective", Journal of Open Innovation: Technology, Market, and Complexity, vol. 6, no. 4, p. 197, 2020.

M. Javaid, A. Haleem, R. P. Singh, R. Suman, & S. Khan, "A review of Blockchain Technology applications for financial services", BenchCouncil Transactions on Benchmarks, Standards and Evaluations, p. 100073, 2022.

P. J. Denning, & T. G. Lewis, "BitCoins Maybe; Blockchains Likely: The innovative foundations of the cryptocurrency may outlive the currency itself as its verification method finds applications everywhere", American Scientist, vol. 105, no. 6, pp. 335–340, 2017.

D. Yermack, Is Bitcoin a real currency? An economic appraisal. Handbook of digital currency: Bitcoin, innovation, financial instruments, and big data, Chapter 2, pp. 31–43, 2015.

N. Gandal, H. Halaburda, & T. Moore, "Price manipulation in the Bitcoin ecosystem, " Journal of Monetary Economics, vol. 95, pp. 86–96, 2018.

D. Stosic, D. Stosic, T. B. Ludermir, & T. Stosic, "Collective behavior of cryptocurrency price changes", Physica A: Statistical Mechanics and its Applications, vol. 507, pp. 499–509, 2018.

M. Raskin & D. Yermack, Digital currencies, decentralized ledgers and the future of central banking. In Research handbook on central bankingEdward Elgar Publishing, pp. 474–486, 2018.

D. Koutmos, "Investor sentiment and bitcoin prices", Review of Quantitative Finance and Accounting, vol. 60, no. 1, pp. 1–29, 2023.

K. Khan, J. Sun, S. Derindere Koseoglu & A. U. Rehman, "Revisiting Bitcoin Price Behavior Under Global Economic Uncertainty", SAGE Open, vol. 11, no. 3, 2021.

H. Jang, J.ve Lee, "An Empirical Study On Modeling and Prediction of Bitcoin Prices with Bayesian Neural Networks Based on Blockchain", Information IEEE Access, vol. 6, pp. 5427–5437, 2018.

Y. Chen, X. Xie, T. Zhang, J. Bai & M. Hou, "A deep residual compensation extreme learning machine and applications", Journal of Forecasting, vol. 39, no. 6, 986–999, 2020.

A. A. Salisu, K. Isah & L. O. Akanni, "Improving the predictability of stock returns with Bitcoin prices", The North American Journal of Economics and Finance, vol.48, pp. 857–867, 2019.

V. Karalevicius, N. Degrande & J. De Weerdt, "Using sentiment analysis to predict interday Bitcoin price movement", Journal of Risk Finance, vol. 19, no. 1, pp. 56–75, 2018.

A. Flori, "News and subjective beliefs: A Bayesian approach to Bitcoin investments", Research in International Business and Finance, vol.50 (C), pp. 336–356, https://doi.org /10.1016/j.ribaf.2019.05.007, 2019.

T. Awoke, M. Rout, L. Mohanty & S. C. Satapathy, "Bitcoin price prediction and analysis using deep learning models", In Communication Software and Networks: Proceedings of INDIA 2019, Singapore: Springer Singapore, 2020, pp. 631–640.

B. Sonare, S. Patil, R. Pise, S. Bajad, S., Ballal, & Y. Chandre, "Analysis of Various Machine Learning and Deep Learning Algorithms for Bitcoin Price Prediction", 2023, https://doi.org/10.1109/raeeucci57140.2023.10134467.

K. P. Sharma, S. K. Singh, A. Choudhary & H. Goel, "Price Prediction of Bitcoin using Social Media Activities and Past Trends," In Proceedings of the 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2023, pp. 516-521.

P. Ciaian, M. Rajčániová, & D. Kancs, "The economics of bitcoin price formation", Applied Economics, vol. 48, no. 19, pp. 1799–1815, 2015.

X. Yue, X. Shu, X. Zhu, X. Du, Z. Yu, D. Papadopoulos, & S. Liu, "Bitextract: Interactive visualization for extracting bitcoin exchange intelligence", IEEE transactions on visualization and computer graphics, vol. 25, no. 1, pp. 162–171, 2018.

P. Rane, & S. N. Dhage, "Systematic Erudition of Bitcoin Price Prediction using Machine Learning Techniques", In Proceedings of the 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), Coimbatore, India, 2019, pp. 594–598.

T. Wood, V. Basto-Fernandes, E. Boiten & I. Yevseyeva, "Systematic Literature Review: Anti-Phishing Defences and Their Application to Before-the-click Phishing Email Detection", arXiv preprint arXiv:2204.13054, 2022.

D. Vidal-Tomás, "An investigation of cryptocurrency data: the market that never sleeps", Quantitative Finance, vol. 21, no. 12, pp. 2007–2024, 2021.

M. Gronwald, "The Economics of Bitcoins-Market Characteristics and Price Jumps", CESifo Working Paper Series No. 5121, Available at SSRN: https://ssrn.com/abstract=2548999 or http://dx.doi.org/10.2139/ssrn.2548999, December 29, 2014.

I. sibel Kervanci, & F. E. Akay, "Review on Bitcoin Price Prediction Using Machine Learning and Statistical Methods", Sakarya University Journal of Computer and Information Sciences, 2020.

Z. Tong, Z. Chen, & C. Zhu, "Nonlinear dynamics analysis of cryptocurrency price fluctuations based on Bitcoin", Finance Research Letters, vol. 47, pp. 102803–102803, 2022.

L. Kristoufek, "Bitcoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the internet era", Nature Scientific Reports, vol. 3, p. 3415, 2013.

L. Ante, "How Elon Musk’s Twitter activity moves cryptocurrency markets", Technological Forecasting and Social Change, vol. 186, pp. 122112–122112, 2023.

C. Tandon, S. Revankar, H. Palivela, & S. S. Parihar, "How can we predict the impact of the social media messages on the value of cryptocurrency?", Insights from big data analytics, vol. 1, no. 2, pp. 100035–100035, 2021.

E. Bouri, R. Gupta, A. Lahiani & M. Shahbaz, "Testing for Asymmetric Nonlinear Short-and Long-Run Relationships Between Bitcoin, Aggregate Commodity and Gold Prices", Resources Policy, 2018.

H. Guo, D. Zhang, S. Liu, L. Wang, & Y. Ding, "Bitcoin price forecasting: A perspective of underlying blockchain transactions", Decision Support Systems, vol. 151, p. 113650, 2021.

A.K. Coulter, "The impact of news media on Bitcoin prices: modelling data driven discourses in the cryptoeconomy with natural language processing", Royal Society Open Science, vol. 9, no. 4, 2022.

A. H. De Vries, "Bitcoin boom: What rising prices mean for the network’s energy consumption", Joule, vol. 5, no. 3, pp. 509–513, 2021.

J. Griffin and A. Shams, "Is bitcoin really untethered?", The Journal of Finance, vol. 75, no. 4, pp. 1913–1964.

H. Kavitha, U.K. Sinha, & S. Jain, S, "Performance Evaluation of Machine Learning Algorithms for Bitcoin Price Prediction", In Proceedings of the 2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020.

N. Sapkota, "News-based sentiment and bitcoin volatility. International Review of Financial Analysis", 82. https://doi.org/10.1016/j.irfa.2022.102183, 2022.

“What are the factors that determine the Bitcoin price?)”, (access date: December, 2023), accessed from https://www.bitpanda.com/academy/tr/dersler/bitcoin-fiyatini-belirleyen-faktorler-nelerdir/

S. Zaman, U. Yaqub, & T. Saleem, "Analysis of bitcoin’s price spike in context of Elon Musk’s twitter activity", Global Knowledge, Memory and Communication, vol. 72, no. 4/5, pp. 341–355, 2023.

Z. Wu, and D. Wang, "Study of the impact of chinese policies and regulations on bitcoin", In Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), 2022, pp. 344–351.

J. Wang, Y. Xue, & M. Liu, "An analysis of bitcoin price based on VEC model", In Proceedings of the international conference on economics and management innovations, Atlantis Press, 2016, July, pp. 180–186.

I. Makarov, & A. Schoar, "Trading and arbitrage in cryptocurrency markets", Journal of Financial Economics, vol. 135, no. 2, pp. 293–319, 2020.

C. V. Madichie, F. N. Ngwu, E. A. Eze, & O. D. Maduka, "Modelling the dynamics of cryptocurrency prices for risk hedging: The case of Bitcoin, Ethereum, and Litecoin", vol. 11, no. 1, 2023.

M. Songur, & S. Ordu, "The Effect of Bitcoin News on Bitcoin Price and Return", Bingöl University Journal of Social Sciences Institute, vol. 25, pp. 220–234, 2023.

"Bitcoin max price", (access date: December, 2023), accessed from https://paxful.com/university/tr/bitcoin-en-yuksek-fiyati/.

"Cryptocurrencies fell hard bitcoin dropped below 4 thousand dollars", (access date: December, 2023), accessed from https://www.bloomberght.com/kripto/haber/2187994-kripto-paralar-sert-dustu-bitcoin-4-bin-dolarin-altina-geriledi

"Bitcoin (BTC) Price Analysis", access date: December, 2023, accessed from https://tr.investing.com/news/cryptocurrency-news/bitcoin-btc-fiyat-analizi--27-haziran-2019-1896702

Tambe, N. (2023), "Why Is The Crypto Market Down In October 2023?", access date: December, 2023, accessed from https://www.forbes.com/advisor/in/investing/cryptocurrency/why-crypto-market-is-down/

"A History of Bitcoin's All-Time Highs", access date: December, 2023, accessed from https://www.bloomberght.com/kripto/haber/2187994-kripto-paralar-sert-dustu-bitcoin-4-bin-dolarin-altina-geriledi

"FORECAST.ETS.STAT function", access date: December, 2023, accessed from https://support.microsoft.com/tr-tr/office/tahmin-ets-istat-islevi-60f2ae14-d0cf-465e-9736-625ccaaa60b4

H. T. Akkuş, İ. Çelik, & T. Karakaya, "Analysis Of Herd Behavior In Crypto Currency Markets: New Evidence From The Largest Crypto Currencies", Journal of Finance, Economics and Social Research, vol. 8, no. 1, pp. 107–120, 2023.

G. Göçmen Yağcılar, "Kripto Para Piyasasında Fiyat Balonları ve Yatırımcı İlgisinin Etkisi (Price Bubbles and the Impact of Investor Interest in the Cryptocurrency Market)", Mehmet Akif Ersoy Üniversitesi Journal of Applied Sciences, vol. 6, no. 1, pp. 108–131, 2022.

S. J. H. Shahzad, M. Anas, & E. Bouri, "Price explosiveness in cryptocurrencies and Elon Musk’s tweets", Finance Research Letters, 2022.

H. Gupta, R. & Chaudhary, "An empirical study of volatility in cryptocurrency market", Journal of Risk and Financial Management, vol. 15, no. 11, p. 513, 2022.

A. Benhamed, A.S. Messai, & G. El Montasser, "On the Determinants of Bitcoin Returns and Volatility: What We Get from Gets?," Sustainability, vol. 15, no. 3, p. 1761, 2023.

R. K. Tiwari, A. K. Agarwal, R. Kaushal, & N. Kumar, "Prophetic Analysis of Bitcoin price using Machine Learning Approaches", 2021.

V. Saha, "Predicting Future Cryptocurrency Prices Using Machine Learning Algorithms", Journal of Data Analysis and Information Processing, vol. 11, pp. 400–419, 2016.


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