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Bitcoin, Currencies, and Fragility

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  • Nassim Nicholas Taleb

Abstract

This discussion applies quantitative finance methods and economic arguments to cryptocurrencies in general and bitcoin in particular -- as there are about $10,000$ cryptocurrencies, we focus (unless otherwise specified) on the most discussed crypto of those that claim to hew to the original protocol (Nakamoto 2009) and the one with, by far, the largest market capitalization. In its current version, in spite of the hype, bitcoin failed to satisfy the notion of "currency without government" (it proved to not even be a currency at all), can be neither a short nor long term store of value (its expected value is no higher than $0$), cannot operate as a reliable inflation hedge, and, worst of all, does not constitute, not even remotely, a safe haven for one's investments, a shield against government tyranny, or a tail protection vehicle for catastrophic episodes. Furthermore, bitcoin promoters appear to conflate the success of a payment mechanism (as a decentralized mode of exchange), which so far has failed, with the speculative variations in the price of a zero-sum maximally fragile asset with massive negative externalities. Going through monetary history, we show how a true numeraire must be one of minimum variance with respect to an arbitrary basket of goods and services, how gold and silver lost their inflation hedge status during the Hunt brothers squeeze in the late 1970s and what would be required from a true inflation hedged store of value.

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  • Nassim Nicholas Taleb, 2021. "Bitcoin, Currencies, and Fragility," Papers 2106.14204, arXiv.org, revised Jul 2021.
  • Handle: RePEc:arx:papers:2106.14204
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chhatwani, Malvika & Parija, Arpit Kumar, 2023. "Who invests in cryptocurrency? The role of overconfidence among American investors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    2. v{S}tefan Ly'ocsa & Tom'av{s} Pl'ihal, 2022. "Russia's Ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention," Papers 2205.09179, arXiv.org.
    3. Bossman, Ahmed & Gubareva, Mariya & Agyei, Samuel Kwaku & Vo, Xuan Vinh, 2024. "Time-frequency comovements between environmental cryptocurrency sentiment and faith-based sectoral stocks," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 699-719.
    4. Daniel Tut, 2022. "Bitcoin: Future or Fad?," Springer Books, in: Thomas Walker & Frederick Davis & Tyler Schwartz (ed.), Big Data in Finance, pages 133-157, Springer.
    5. Elie Bouri & Matteo Foglia & Sayar Karmakar & Rangan Gupta, 2024. "Return-Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis," Working Papers 202432, University of Pretoria, Department of Economics.
    6. Grobys, Klaus, 2024. "No reward—no effort: Will Bitcoin collapse near to the year 2140?," Finance Research Letters, Elsevier, vol. 63(C).
    7. Ao Shu & Feiyang Cheng & Jianlei Han & Zini Liang & Zheyao Pan, 2023. "Arbitrage across different Bitcoin exchange venues: Perspectives from investor base and market related events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5183-5210, December.
    8. Tut, DANIEL, 2024. "Bitcoin, speculative sentiments and crypto-assets valuation," MPRA Paper 120866, University Library of Munich, Germany.
    9. Kim, Daehan & Ryu, Doojin & Webb, Robert I., 2023. "Determination of equilibrium transaction fees in the Bitcoin network: A rank-order contest," International Review of Financial Analysis, Elsevier, vol. 86(C).
    10. Bao, Te & Ma, Mengzhong & Wen, Yonggang, 2023. "Herding in the non-fungible token (NFT) market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    11. Youssef El-Khatib & Abdulnasser Hatemi-J, 2023. "On a regime switching illiquid high volatile prediction model for cryptocurrencies," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(2), pages 485-498, July.
    12. Imad A. Moosa, 2022. "Fintech," Books, Edward Elgar Publishing, number 21229.
    13. Lin, Xudong & Meng, Yiqun & Zhu, Hao, 2023. "How connected is the crypto market risk to investor sentiment?," Finance Research Letters, Elsevier, vol. 56(C).
    14. Tiago E. Pratas & Filipe R. Ramos & Lihki Rubio, 2023. "Forecasting bitcoin volatility: exploring the potential of deep learning," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 285-305, June.
    15. Ugolini, Andrea & Reboredo, Juan C. & Mensi, Walid, 2023. "Connectedness between DeFi, cryptocurrency, stock, and safe-haven assets," Finance Research Letters, Elsevier, vol. 53(C).
    16. Lyócsa, Štefan & Plíhal, Tomáš, 2022. "Russia’s ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention," Finance Research Letters, Elsevier, vol. 48(C).
    17. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara & Tran, Dang K., 2022. "Covid-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 47(PB).
    18. Goodell, John W. & Yadav, Miklesh Prasad & Ruan, Junhu & Abedin, Mohammad Zoynul & Malhotra, Nidhi, 2023. "Traditional assets, digital assets and renewable energy: Investigating connectedness during COVID-19 and the Russia-Ukraine war," Finance Research Letters, Elsevier, vol. 58(PA).
    19. Ioana Raluca DIACONU, 2022. "Bitcoin: Medium of Exchange or Speculative Asset?," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(24), pages 72-82, November.
    20. Laurens Swinkels, 2023. "Empirical evidence on the ownership and liquidity of real estate tokens," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
    21. Abdulnasser Hatemi-J, 2024. "Testing for the Asymmetric Optimal Hedge Ratios: With an Application to Bitcoin," Papers 2407.19932, arXiv.org, revised Aug 2024.
    22. Yousaf, Imran & Nekhili, Ramzi & Gubareva, Mariya, 2022. "Linkages between DeFi assets and conventional currencies: Evidence from the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 81(C).
    23. Karim, Muhammad Mahmudul & Ali, Md Hakim & Yarovaya, Larisa & Uddin, Md Hamid & Hammoudeh, Shawkat, 2023. "Return-volatility relationships in cryptocurrency markets: Evidence from asymmetric quantiles and non-linear ARDL approach," International Review of Financial Analysis, Elsevier, vol. 90(C).

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