A Study of Economic Value Estimation on Cryptocurrency Value back by Gold, Methods, Techniques, and Tools

  • Ferdiansyah Ferdiansyah Universitas Bina Darma, Indonesia
  • Siti Hajar Othman Universiti Teknologi Malaysia, Malaysia
  • Raja Zahilah Md Radzi Universiti Teknologi Malaysia, Malaysia
  • Deris Stiawan Universitas Sriwijaya, Indonesia
DOI: 10.33557/journalisi.v1i2.25
Keywords: Bitcoin, Cryptocurrency, Economic Value Estimation, Prediction, Shariah Compliance.

Abstract

After Bitcoin Introduced around the world, many Cryptocurrencies was created that followed the standard of bitcoin.  The use of Bitcoin or other Cryptocurrency as a currency is also an interesting study from an Islamic economic perspective. They tried to use gold with value back by gold , which gold itself is famous for its exchange rate stability. From abu bakar There is a need for monitoring organization of the cryptocurrency, to controlling from Riba (Interest), Maysir (gambling) and ghahar (Uncertainty). To solve this problem there is a need a tool that can predict with certainty based on valid historical data, to produce accurate prediction results and produce Economic value estimations that are close to Gold real value. With the results we can monitoring day by day, see next day value and continuously based on Cryptocurrency with value back by gold, and see what other impact influences the value by looking the factor negative or positive with sentiment analysis. In the last section we discuss and provide method that we analyse from previous work to produce method to estimate  value cryptocurrency value back by gold. 

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References

G. Hileman, “State of blockchain q1 2016: Blockchain funding overtakes bitcoin,” CoinDesk, New York, NY, May, vol. 11, 2016.

Y. S. Abubakar, A. F. Ogunbado, and M. A. Saidi, “Bitcoin and its Legality from Shariah Point of View,” SEISENSE J. Manag., vol. 1, no. 4, pp. 13–21, 2018.

A. K. M. Meera and others, “Cryptocurrencies From Islamic Perspectives: The Case Of Bitcoin,” Bull. Monet. Econ. Bank., vol. 20, no. 4, pp. 1–18, 2018.

A. Judmayer, N. Stifter, K. Krombholz, and E. Weippl, “Blocks and Chains: Introduction to Bitcoin, Cryptocurrencies, and Their Consensus Mechanisms,” Synth. Lect. Inf. Secur. Privacy, Trust, 2017.

W. Dai, “B-money proposal,” White Pap., 1998.

N. Szabo, “Bit gold,” Website/Blog, 2008.

A. Back, “Hashcash.” 1997.

Hal Finney, “RPOW - Reusable Proofs of Work,” Agosto 15, 2004. 2004.

S. Nakamoto and others, “Bitcoin: A peer-to-peer electronic cash system,” 2008.

Bayan token, “A Shariah-Compliant Utility Crypto Token,” 2018. [Online]. Available: https://www.bayantoken.com/files/frontend/BayanatTokenWhitepaper-v3.10.pdf. [Accessed: 29-Aug-2019].

A. Aliyu et al., “Review of Existing Shariah-Compliant Cryptocurrency,” in INHAC 2019, 2019.

Onegram, “OneGram Whitepaper,” 2017. [Online]. Available: https://onegram.org/whitepaper. [Accessed: 20-Aug-2019].

NoorCoin, “Noorcoin white paper,” 2018. [Online]. Available: https://www.noorcoin.io/NoorcoinWhitepaper.pdf.%0A. [Accessed: 20-Aug-2019].

HelloGold, “HelloGold,” 2017. [Online]. Available: https://www.allcryptowhitepapers.com/wp-content/uploads/2018/05/HelloGold-Whitepaper.pdf. [Accessed: 20-Aug-2019].

Digix Global, “No Title,” 2016. [Online]. Available: https://digix.global/whitepaper.pdf. [Accessed: 20-Aug-2019].

Cyronium, “Cyronium Whitepaper.” [Online]. Available: https://docplayer.info/80889033-Cyronium-whitepaper-cyronium-the-first-cryptocurrency-with-precious-metal-underlying.html. [Accessed: 20-Aug-2019].

A. Greaves and B. Au, “Using the bitcoin transaction graph to predict the price of bitcoin,” No Data, 2015.

H. Jang and J. 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.

E. Sin and L. Wang, “Bitcoin Price Prediction Using Ensembles of Neural Networks,” in 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, pp. 666–671.

A. Radityo, Q. Munajat, and I. Budi, “Prediction of Bitcoin exchange rate to American dollar using artificial neural network methods,” in Advanced Computer Science and Information Systems (ICACSIS), 2017 International Conference on, 2017, pp. 433–438.

S. McNally, J. Roche, and S. Caton, “Predicting the price of Bitcoin using Machine Learning,” in Parallel, Distributed and Network-based Processing (PDP), 2018 26th Euromicro International Conference on, 2018, pp. 339–343.

R. Mittal, S. Arora, and M. P. S. Bhatia, “AUTOMATED CRYPTOCURRENCIES PRICES PREDICTION USING MACHINE LEARNING,” 2018.

D. R. Pant, P. Neupane, A. Poudel, A. K. Pokhrel, and B. K. Lama, “Recurrent Neural Network Based Bitcoin Price Prediction by Twitter Sentiment Analysis,” in 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS), 2018, pp. 128–132.

J. J. Murphy, “Technical Analysis Of The Financial Markets,” Pennsylvania Dental Journal. 1999.

E. Kristensen, S. Østergaard, M. A. Krogh, and C. Enevoldsen, “Technical Indicators of Financial Performance in the Dairy Herd,” J. Dairy Sci., 2008.

J. W. Wilder, New concepts in technical trading systems. Trend Research, 1978.

Investopedia, “Trading Strategy,” 2018. [Online]. Available: https://www.investopedia.com/. [Accessed: 14-Mar-2019].

C. Scheier and W. Tschacher, “Appropriate algorithms for nonlinear time series analysis in psychology,” in Nonlinear dynamics in human behavior, World Scientific, 1996, pp. 27–43.

D. Shah and K. Zhang, “Bayesian regression and Bitcoin,” in 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2014, pp. 409–414.

Published
2019-09-02
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How to Cite
Ferdiansyah, F., Othman, S., Md Radzi, R., & Stiawan, D. (2019). A Study of Economic Value Estimation on Cryptocurrency Value back by Gold, Methods, Techniques, and Tools. Journal of Information Systems and Informatics, 1(2), 178-192. https://doi.org/10.33557/journalisi.v1i2.25
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Vol 1 No 2 (2019): Journal of Information Systems and Informatics
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