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Are Crypto Assets Connected to Real World Shocks? The Nexus Between Terrorist Attacks, Bitcoin and NFTs

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  • Firuze Simay SEZGIN

    (Koc University, Institute of Social Sciences, Political Science and International Relations, Istanbul, Turkiye)

  • Caner ÖZDURAK

    (Yeditepe University, Department of Financial Economics, Istanbul, Turkiye)

Abstract

This study investigates the impact of terrorist attacks on the price fluctuations of Bitcoin prices and NFT sales. Although the value proposition of cryptocurrencies, Decentralized Finance, and the whole blockchain revolution is a quicker, cheaper, and more transparent kind of finance, various terrorist organizations tend to use cryptocurrency anonymously to finance their terrorist activities around the world by bypassing the banking system of the regulated countries. The analyses reveal that returns of Bitcoin and NFT markets are positively associated with the organization and funding phases of the terrorist attacks but negatively associated with the post-terrorist attack circumstances, meaning that it generates positive abnormal returns (AR) prior to the attack but creates negative AR right after the attack. Furthermore, while the Bitcoin news impact curve (NIC) is nearly symmetric, the NFT NIC is asymmetric, with positive shocks having significantly more impact on future volatility than negative shocks of the same magnitude. Since previous studies claim that terrorist attack news is good news for Bitcoin returns, we will enrich our AR analysis results with NICs results.

Suggested Citation

  • Firuze Simay SEZGIN & Caner ÖZDURAK, 2023. "Are Crypto Assets Connected to Real World Shocks? The Nexus Between Terrorist Attacks, Bitcoin and NFTs," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 113-132, January.
    • Handle: RePEc:ist:iujepr:v:10:y:2023:i:1:p:113-132
    DOI: 10.26650/JEPR1127482
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    Cited by:

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    More about this item

    Keywords

    Cryptocurrencies; Terror attacks; Returns; Volatility; Event study; News impact curves JEL Classification : C22; G15; D81;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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