A Cost of Production Model for Bitcoin
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
- Adam Hayes, 2014. "What Factors Give Cryptocurrencies Their Value: An Empirical Analysis," Working Papers 1406, New School for Social Research, Department of Economics, revised Mar 2015.
- David Garcia & Claudio Tessone & Pavlin Mavrodiev & Nicolas Perony, "undated". "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Working Papers ETH-RC-14-001, ETH Zurich, Chair of Systems Design.
- David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
- Adam Hayes, 2015. "The Decision to Produce Altcoins: Miners' Arbitrage in Cryptocurrency Markets," Working Papers 1504, New School for Social Research, Department of Economics.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016.
"Everything you always wanted to know about bitcoin modelling but were afraid to ask. I,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 44, pages 5-24.
- Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016. "Everything you always wanted to know about bitcoin modelling but were afraid to ask," MPRA Paper 71946, University Library of Munich, Germany, revised 2016.
- Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2017. "Everything you always wanted to know about bitcoin modelling but were afraid to ask. Part 2," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 5-28.
- Christie Smith & Aaron Kumar, 2018.
"Crypto‐Currencies – An Introduction To Not‐So‐Funny Moneys,"
Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1531-1559, December.
- Aaron Kumar & Christie Smith, 2017. "Crypto-currencies – An introduction to not-so-funny moneys," Reserve Bank of New Zealand Analytical Notes series AN2017/07, Reserve Bank of New Zealand.
- Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022.
"The Microeconomics of Cryptocurrencies,"
Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
- Hanna Halaburda & Guillaume Haeringer & Joshua S. Gans & Neil Gandal, 2020. "The Microeconomics of Cryptocurrencies," NBER Working Papers 27477, National Bureau of Economic Research, Inc.
- Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2021. "The Microeconomics of Cryptocurrencies," CESifo Working Paper Series 8841, CESifo.
- Gandal, Neil & Halaburda, Hanna & Haeringer, Guillaume & Gans, Joshua, 2020. "The Microeconomics of Cryptocurrencies," CEPR Discussion Papers 14972, C.E.P.R. Discussion Papers.
- Jamal Bouoiyour & Refk Selmi, 2017.
"The Bitcoin price formation: Beyond the fundamental sources,"
Working Papers
hal-01548710, HAL.
- Jamal Bouoiyour & Refk Selmi, 2017. "The Bitcoin price formation: Beyond the fundamental sources," Papers 1707.01284, arXiv.org.
- Jamal Bouoiyour & Refk Selmi, 2017.
"Are Trump and Bitcoin Good Partners?,"
Working Papers
hal-01480031, HAL.
- Jamal Bouoiyour & Refk Selmi, 2017. "Are Trump and Bitcoin Good Partners?," Papers 1703.00308, arXiv.org.
- Ji, Qiang & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2018.
"Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 203-213.
- Qiang Ji & Elie Bouri & Rangan Gupta & David Roubaud, 2017. "Network Causality Structures among Bitcoin and other Financial Assets: A Directed Acyclic Graph Approach," Working Papers 201729, University of Pretoria, Department of Economics.
- Gaies, Brahim & Nakhli, Mohamed Sahbi & Sahut, Jean Michel & Guesmi, Khaled, 2021. "Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
- repec:men:wpaper:58_2015 is not listed on IDEAS
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
- Fry, John & Cheah, Eng-Tuck, 2016. "Negative bubbles and shocks in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 343-352.
- Adam Hayes, 2018. "Bitcoin price and its marginal cost of production: support for a fundamental value," Papers 1805.07610, arXiv.org.
- Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
- Alessandra Cretarola & Gianna Figà-Talamanca, 2021. "Detecting bubbles in Bitcoin price dynamics via market exuberance," Annals of Operations Research, Springer, vol. 299(1), pages 459-479, April.
- Jaroslav Bukovina & Matus Marticek, 2016. "Sentiment and Bitcoin Volatility," MENDELU Working Papers in Business and Economics 2016-58, Mendel University in Brno, Faculty of Business and Economics.
- Abeer ElBahrawy & Laura Alessandretti & Anne Kandler & Romualdo Pastor-Satorras & Andrea Baronchelli, 2017. "Evolutionary dynamics of the cryptocurrency market," Papers 1705.05334, arXiv.org, revised Nov 2017.
- Abeer ElBahrawy & Laura Alessandretti & Andrea Baronchelli, 2019. "Wikipedia and Digital Currencies: Interplay Between Collective Attention and Market Performance," Papers 1902.04517, arXiv.org, revised Mar 2019.
- Mark Mizraki, 2015. "Conversation with Mark Mizruchi:“There is Very Little Organizational Theory Left in Sociology Departments”," Journal of Economic Sociology, National Research University Higher School of Economics, vol. 16(3), pages 14-25.
- Obryan Poyser, 2019. "Exploring the dynamics of Bitcoin’s price: a Bayesian structural time series approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 29-60, March.
- Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
- Aslanidis, Nektarios & Bariviera, Aurelio F. & Perez-Laborda, Alejandro, 2021.
"Are cryptocurrencies becoming more interconnected?,"
Economics Letters, Elsevier, vol. 199(C).
- Nektarios Aslanidis & Aurelio F. Bariviera & Alejandro Perez-Laborda, 2020. "Are cryptocurrencies becoming more interconnected?," Papers 2009.14561, arXiv.org.
- Aslanidis, Nektarios & Fernández Bariviera, Aurelio & Pérez Laborda, Àlex, 2020. "Are cryptocurrencies becoming more interconnected?," Working Papers 2072/417679, Universitat Rovira i Virgili, Department of Economics.
More about this item
Keywords
Bitcoin; cryptocurrencies; asset pricing; cost of production models; valuation models; competitive markets;All these keywords.
JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
- E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
- E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MAC-2015-04-02 (Macroeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:new:wpaper:1505. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mark Setterfield (email available below). General contact details of provider: https://edirc.repec.org/data/denewus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.