Digital Assets Research：Current Status and Future Trends

Authors

  • Li Zhou 1,*
    • Conceptualization
    • Formal Analysis
    • Investigation
    • Methodology
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
1 School of Economics, Wuhan Business University, Wuhan, China 430056
Corresponding author: zhoul9181@gmail.com

DOI:

https://doi.org/10.63646/CKRZ4684

Keywords:

digital assets, blockchain, cryptocurrency, bitcoin

Abstract

Digital assets, through the integration of emerging technologies such as blockchain, hold the promise to link with potential values. This article aims to examine the development trends and current research of digital assets. It presents a theoretical framework that facilitates researchers and practitioners in digital assets. A descriptive analysis of relevant articles was conducted, e.g., the analysis of annual publications and citations, categories distribution analysis, country and institutional analysis, and journal co-citation analysis. Through the cluster analysis, the research topics were identified and explored in depth. The findings indicate that, since 2018, there has been an increase in the annual publications and citations, accompanied by a broad distribution across various categories. The current research focuses on Bitcoin Price Volatility & Forecast, Investor Sentiment, Other Cryptocurrency & NFT, Bitcoin Environment & Energy, Safe-Haven Properties of Bitcoin. We intend to seek implicit connections between topics that will perform in the future. This research provides theoretical support for comprehending the features of digital assets and their role in investment portfolios in the market.

How to Cite

Zhou, L. (2025). Digital Assets Research：Current Status and Future Trends. Crossroads of Future Technologies, 1(1), 1-20. https://doi.org/10.63646/CKRZ4684

References

Aalborg, H. A., & Bouri, E. (2019). What can explain the price, volatility and trading volume of Bitcoin? Finance Research Letters, 29, 255-262. https://doi.org/10.1016/j.frl.2018.08.010.

Aharon, D. Y., & Bouri, E. (2022). NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic. Finance Research Letters, 47, 102515. https://doi.org/10.1016/j.frl.2021.102515.

Alvarez-Ramirez, J., & Rodriguez, E. (2018). Long-range correlations and asymmetry in the Bitcoin market. Physica A: Statistical Mechanics and its Applications, 492, 948-958. https://doi.org/10.1016/j.physa.2017.11.025.

Al-Yahyaee, K. H., & Bouri, E. (2018). Efficiency, multifractality, and the long-memory property of the Bitcoin market: A comparative analysis with stock, currency, and gold markets. Finance Research Letters, 27, 228-235. https://doi.org/10.1016/j.frl.2018.03.017.

Ando, T., & Bai, J. (2022). Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks. Management Science, 68 (10), 2401-2415. https://doi.org/10.1287/mnsc.2021.3984.

Androulaki, E., Karame, G. O., Roeschlin, M., Scherer, T., & Capkun, S. (2013). Evaluating user privacy in Bitcoin. Financial Cryptography and Data Security, 34-51. https://doi.org/10.1007/978-3-642-39884-1.

Antonakakis, N., & Gabauer, D. (2020). Refined Measures of Dynamic Connectedness Based on Time-Varying Parameter Vector Autoregressions. Journal of Risk and Financial Management, 13 (4), 84. https://doi.org/10.3390/jrfm13040084.

Aysan, A. F., & Bouri, E. (2019). Effects of the geopolitical risks on Bitcoin returns and volatility. Research in International Business and Finance, 47, 511-520. https://doi.org/10.1016/j.ribaf.2018.09.011.

Baek, C., & Elbeck, M. (2015). Bitcoins as an investment or speculative vehicle? A first look. Applied Economics Letters, 22, 30-35. https://doi.org/10.1080/13504851.2014.916379.

Balcilar, M., & Demir, E. (2017). Can volume predict Bitcoin returns and volatility? A quantiles-based approach. Economic Modelling, 64, 74-82. https://doi.org/10.1016/j.econmod.2017.03.019.

Bariviera, A. F. (2017). Some stylized facts of the Bitcoin market. Physica A: Statistical Mechanics and its Applications, 484, 82-92. https://doi.org/10.1016/j.physa.2017.04.159.

Bariviera, A. F. (2017). The inefficiency of Bitcoin revisited: A dynamic approach. Economics Letters, 161, 1-5. https://doi.org/10.1016/j.econlet.2017.09.013.

Baruník, J., & Křehlík, T. (2018). Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk. Journal of Financial Econometrics, 16 (2), 271-292. https://doi.org/10.1093/jjfinec/nby001.

Baur, D. G., Dimpfl, T., & Kuck, K. (2018). Bitcoin, gold and the US dollar - A replication and extension. Finance Research Letters, 25, 103-113. https://doi.org/10.1016/j.frl.2017.10.012.

Baur, DG (2018.0) Bitcoin: medium of exchange or speculative assets?. Journal of International Financial Markets Institutions & Money, V54, P13 https://doi.org/10.1016/j.intfin.2017.12.004.

Ben-Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E.,& Virza, M. (2014). Zerocash: Decentralized anonymous payments from Bitcoin. Proceedings of the IEEE Symposium on Security and Privacy, 459-474. https://doi.org/10.1109/SP.2014.36.

Biryukov, A., Khovratovich, D., & Pustogarov, I. (2014). Deanonymisation of clients in Bitcoin P2P network. Proceedings of the 21st ACM Conference on Computer and Communications Security, 15-26. https://doi.org/10.1145/2660267.2660379.

Biryukov, A., & Tikhomirov, S. (2015). Bitcoin over Tor isn't a good idea. Proceedings of the IEEE Symposium on Security and Privacy, 122-134. https://doi.org/10.1109/SP.2015.15.

Blau, B. M. (2017). Price dynamics and speculative trading in Bitcoin. Research in International Business and Finance, 41, 493-506. https://doi.org/10.1016/j.ribaf.2017.05.010.

Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015). Bitcoin: Economics, Technology, and Governance. Journal of Economic Perspectives, 29 (2), 213-238. https://doi.org/10.1257/jep.29.2.213.

Bonneau, J. (2015). SoK: Research perspectives and challenges for Bitcoin and cryptocurrencies. Proceedings of the IEEE Symposium on Security and Privacy, 104-114. https://doi.org/10.1109/SP.2015.14.

Borri, N., & Pellegrino, F. (2019). Conditional tail-risk in cryptocurrency markets. Journal of Empirical Finance, 50, 1-14. https://doi.org/10.1016/j.jempfin.2018.11.002.

Bouri, E., & Roubaud, D. (2017). Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions. Finance Research Letters, 23, 87-94. https://doi.org/10.1016/j.frl.2017.02.009.

Bouri, E., Gupta, R., & Roubaud, D. (2020). Bitcoin, gold, and commodities as safe havens for stocks: new insight through wavelet analysis. Quarterly Review of Economics and Finance, 77, 156-166. https://doi.org/10.1016/j.qref.2020.03.004.

Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192-200. https://doi.org/10.1016/j.fri.2016.09.025.

Bouri, E., & Roubaud, D. (2017). Bitcoin for energy commodities before and after the December 2013 crash: diversifier, hedge or safe haven? Applied Economics, 49, 5063-5074. https://doi.org/10.1080/00036846.2017.1299102.

Bouri, E., & Roubaud, D. (2019). Co-explosivity in the cryptocurrency market. Finance Research Letters, 29, 178-185. https://doi.org/10.1016/j.frl.2018.07.005.

Bouri, E., & Roubaud, D. (2019). Herding behaviour in cryptocurrencies. Finance Research Letters, 29, 216-223. https://doi.org/10.1016/j.frl.2018.07.008.

Bouri, E., & Roubaud, D. (2019). Trading volume and the predictability of return and volatility in the cryptocurrency market. Finance Research Letters, 29, 340-347. https://doi.org/10.1016/j.frl.2018.08.015.

Brandvold, M., & Brooks, R. (2015). Price discovery on Bitcoin exchanges. Journal of International Financial Markets, Institutions & Money, 36, 18-33. https://doi.org/10.1016/j.intfin.2015.02.010.

Brauneis, A., & Mestel, R. (2018). Price discovery of cryptocurrencies: Bitcoin and beyond. Economics Letters, 165, 58-61. https://doi.org/10.1016/j.econlet.2018.02.001.

Brière, M., Oosterlinck, K., & Szafarz, A. (2015). Virtual currency, tangible return: Portfolio diversification with bitcoin. Journal of Asset Management, 16 (2), 365-377. https://doi.org/10.1057/jam.2015.5.

Charfeddine, L., & Ben Rejeb, W. (2020). Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors. Economic Modelling, 85, 198-210. https://doi.org/10.1016/j.econmod.2019.05.016.

Cheah, E. T., & Fry, J. (2015). Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Economics Letters, 130, 32-36. https://doi.org/10.1016/j.econlet.2015.02.029.

Cheung, A., & Ng, L. (2015). Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices. Applied Economics, 47 (22), 2348-2359. https://doi.org/10.1080/00036846.2015.1005827.

Christidis, K., & Devetsikiotis, M. (2016). Blockchains and Smart Contracts for the Internet of Things. IEEE Access, 4, 2292-2303. https://doi.org/10.1109/ACCESS.2016.2566339

Ciaian, P., Rajcaniova, M., & Kancs, d'Artis. (2016). The economics of BitCoin price formation. Applied Economics, 48, 1799-1815. https://doi.org/10.1080/00036846.2015.1109038.

Ciaian, P., & Rajcaniova, M. (2018). Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets. Journal of International Financial Markets, Institutions & Money, 52, 173-184. https://doi.org/10.1016/j.intfin.2017.11.001.

Cong, L. W., & He, J. (2021). Tokenomics: Dynamic Adoption and Valuation. Review of Financial Studies, 34, 1105-1130. https://doi.org/10.1093/rfs/hhaa089.

Conlon, T., McGee, R. J., & Cotter, J. (2020). Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic. Research in International Business and Finance, 54, 101248. https://doi.org/10.1016/j.ribaf.2020.101248.

Conlon, T., & McGee, R. J. (2020). Safe haven or risky hazard? Bitcoin during the Covid-19 bear market. Finance Research Letters, 35, 101607. https://doi.org/10.1016/j.frl.2020.101607.

Conti, M., Di Pietro, R., & Mancini, L. V. (2018). A survey on security and privacy issues of Bitcoin. IEEE Communications Surveys & Tutorials, 20, 3416-3438. https://doi.org/10.1109/COMST.2018.2842460.

Corbet, S., Meegan, A., Larkin, C., & Lucey, B. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81-87. https://doi.org/10.1016/j.frl.2017.12.006.

Corbet, S., Meegan, A., Larkin, C., & Lucey, B. (2018). Bitcoin Futures - What use are they? Economics Letters, 172, 23-26. https://doi.org/10.1016/j.econlet.2018.07.031.

Corbet, S., Meegan, A., Larkin, C., & Lucey, B. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28-31. https://doi.org/10.1016/j.econlet.2018.01.004.

Corbet, S., Meegan, A., Larkin, C., & Lucey, B. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182-192. https://doi.org/10.1016/j.irfa.2018.09.003.

Corbet, S., Meegan, A., Larkin, C., & Lucey, B. (2020). Any port in a storm: Cryptocurrency safe-havens during the COVID-19 pandemic. Economics Letters, 194, 109377. https://doi.org/10.1016/j.econlet.2020.109377.

Corbet, S., Meegan, A., Larkin, C., & Lucey, B. (2020). The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies. Finance Research Letters, 35, 101554. https://doi.org/10.1016/j.frl.2020.101554.

Corbet, S., & McGee, R. J. (2021). Bitcoin-energy markets interrelationships - New evidence. Resources Policy, 70, 101916. https://doi.org/10.1016/j.resourpol.2020.101916.

Dastgir, S. (2019). The causal relationship between Bitcoin attention and Bitcoin returns: Evidence from the Copula-based Granger causality test. Finance Research Letters, 28, 160-166. https://doi.org/10.1016/j.frl.2018.04.019.

Demir, E., & Demir, E. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145-152. https://doi.org/10.1016/j.frl.2018.01.005.

Dowling, M., & Faff, R. (2022). Fertile LAND: Pricing non-fungible tokens. Finance Research Letters, 44, 102096. https://doi.org/10.1016/j.frl.2021.102096.

Dowling, M., & Faff, R. (2022). Is non-fungible token pricing driven by cryptocurrencies? Finance Research Letters, 44, 102097. https://doi.org/10.1016/j.frl.2021.102097.

Dwyer, G. P. (2015). The economics of Bitcoin and similar private digital currencies. Journal of Financial Stability, 17, 81-91. https://doi.org/10.1016/j.jfs.2014.11.006.

Dyhrberg, A. H. (2016). Bitcoin, gold and the dollar - A GARCH volatility analysis. Finance Research Letters, 16, 85-94. https://doi.org/10.1016/j.frl.2015.10.008.

Dyhrberg, A. H. (2016). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139-145. https://doi.org/10.1016/j.frl.2015.10.025.

Easley, D., & O'Hara, M. (2019). From mining to markets: The evolution of bitcoin transaction fees. Journal of Financial Economics, 134, 91-104. https://doi.org/10.1016/j.jfineco.2019.03.004.

ElBahrawy, A., Alessio, E., & Baronchelli, A. (2017). Evolutionary dynamics of the cryptocurrency market. Royal Society Open Science, 4, e170623. https://doi.org/10.1098/rsos.170623.

Elsayed, A. H., & Bouri, E. (2022). Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties. International Review of Financial Analysis, 81, 102069. https://doi.org/10.1016/j.irfa.2022.102069.

Eyal, I., & Sirer, E. G. (2014). Majority is Not Enough: Bitcoin Mining is Vulnerable. Lecture Notes in Computer Science, 8437, 436-454. https://doi.org/10.1007/978-3-662-45472-5_28.

Fang, F., & Shen, D. H. (2022). Cryptocurrency trading: a comprehensive survey. Financial Innovation, 8, 1-20. https://doi.org/10.1186/s40854-021-00321-6.

Fang, L. B., & Bouri, E. (2019). Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? International Review of Financial Analysis, 61, 29-38. https://doi.org/10.1016/j.irfa.2018.12.010.

Foley, S., & Hamrick, J. R. (2019). Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies? Review of Financial Studies, 32, 1798-1836. https://doi.org/10.1093/rfs/hhz015.

Fry, J. (2016). Negative bubbles and shocks in cryptocurrency markets. International Review of Financial Analysis, 47, 343-356. https://doi.org/10.1016/j.irfa.2016.02.008.

Gandal, N., Hamrick, J. T., Moore, T., & Oberman, T. (2018). Price manipulation in the Bitcoin ecosystem. Journal of Monetary Economics, 95, 86-106. https://doi.org/10.1016/j.jmoneco.2017.12.004.

Garcia, D. (2014). The digital traces of bubbles: Feedback cycles between socio-economic signals in the Bitcoin economy. Journal of the Royal Society Interface, 11, e20140623. https://doi.org/10.1098/rsif.2014.0623.

Goodell, J. W., & Goutte, S. (2021). Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis. Finance Research Letters, 38, 101625. https://doi.org/10.1016/j.frl.2020.101625.

Griffin, J. M., & Shams, A. (2020). Is Bitcoin Really Untethered? Journal of Finance, 75, 1913-1938. https://doi.org/10.1111/jofi.12903.

Guesmi, K., & Bouri, E. (2019). Portfolio diversification with virtual currency: Evidence from bitcoin. International Review of Financial Analysis, 63, 431-442. https://doi.org/10.1016/j.irfa.2018.03.004.

Ji, Q., & Bouri, E. (2019). Information interdependence among energy, cryptocurrency and major commodity markets. Energy Economics, 81, 1042-1056. https://doi.org/10.1016/j.eneco.2019.06.005.

Ji, Q., & Bouri, E. (2018). Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach. Quarterly Review of Economics and Finance, 70, 203-212. https://doi.org/10.1016/j.qref.2018.05.016.

Ji, Q., & Bouri, E. (2019). Dynamic connectedness and integration in cryptocurrency markets. International Review of Financial Analysis, 63, 257-268. https://doi.org/10.1016/j.irfa.2018.12.002.

Ji, Q., & Bouri, E. (2020). Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71, 101526. https://doi.org/10.1016/j.irfa.2020.101526.

Jiang, Y. H., & Zhou, W. X. (2018). Time-varying long-term memory in Bitcoin market. Finance Research Letters, 25, 280-286. https://doi.org/10.1016/j.frl.2017.12.009.

Karim, S., & Bouri, E. (2022). Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies. Finance Research Letters, 47, 102696. https://doi.org/10.1016/j.frl.2022.102696.

Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3-6. https://doi.org/10.1016/j.econlet.2017.06.023.

Katsiampa, P. (2019). Volatility spillover effects in leading cryptocurrencies: A BEKK-MGARCH analysis. Finance Research Letters, 29, 68-75. https://doi.org/10.1016/j.frl.2019.03.009.

Kim, T., & Bouri, E. (2017). On the transaction cost of Bitcoin. Finance Research Letters, 23, 300-306. https://doi.org/10.1016/j.frl.2017.07.014.

Klein, T., & Baur, D. G. (2018). Bitcoin is not the New Gold - A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105-117. https://doi.org/10.1016/j.irfa.2018.07.010.

Kondor, D. (2014). Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network. PLOS ONE, 9(1), e86197. https://doi.org/10.1371/journal.pone.0086197

Kosba, A., Miller, A., Shi, E., Wen, X., & Papamanthou, C. (2016). Hawk: The blockchain model of cryptography and privacy-preserving smart contracts. Proceedings of the IEEE Symposium on Security and Privacy, 839-858. https://doi.org/10.1109/SP.2016.55.

Koshy, P., Koshy, D., & Poovendran, R. (2014). An analysis of anonymity in Bitcoin using P2P network traffic. Lecture Notes in Computer Science, 8437, 469-486. https://doi.org/10.1007/978-3-662-45472-5_30.

Koutmos, D. (2018). Return and volatility spillovers among cryptocurrencies. Economics Letters, 173, 122-126. https://doi.org/10.1016/j.econlet.2018.10.004.

Kraaijeveld, O. (2020). The predictive power of public Twitter sentiment for forecasting cryptocurrency prices. Journal of International Financial Markets, Institutions & Money, 65, 101188. https://doi.org/10.1016/j.intfin.2020.101188.

Kristoufek, L. (2013). Fractal Markets Hypothesis and the Global Financial Crisis: Wavelet power evidence. Scientific Reports, 3, e02857. https://doi.org/10.1038/srep02857.

Kristoufek, L. (2015). What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis. PLOS ONE, 10(4), e0123923. https://doi.org/10.1371/journal.pone.0123923.

Kristoufek, L. (2018). On Bitcoin markets (in) efficiency and its evolution. Physica A: Statistical Mechanics and its Applications, 503, 257-264. https://doi.org/10.1016/j.physa.2018.02.161.

Lahmiri, S., & Bekiros, S. (2018). Chaos, randomness and multi-fractality in Bitcoin market. Chaos, Solitons & Fractals, 106, 28-34. https://doi.org/10.1016/j.chaos.2017.11.005.

Le, T. L., & Phan, T. H. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution. Technological Forecasting and Social Change, 162, 120382. https://doi.org/10.1016/j.techfore.2020.120382.

Li, X., & Li, Y. (2017). The technology and economic determinants of cryptocurrency exchange rates: The case of Bitcoin. Decision Support Systems, 95, 49-56. https://doi.org/10.1016/j.dss.2016.12.001.

Liu, Y. K., & Tsyvinski, A. (2021). Risks and Returns of Cryptocurrency. Review of Financial Studies, 34, 2689-2724. https://doi.org/10.1093/rfs/hhaa113.

Liu, Y., & Tsyvinski, A. (2022). Common Risk Factors in Cryptocurrency. Journal of Finance, 77, 1133-1158. https://doi.org/10.1111/jofi.13119.

Lucey BM (2022). The cryptocurrency uncertainty index. Finance Research Letters, 45, 0. https://doi.org/10.1016/j.frl.2021.102147.

Makarov, I., & Schoar, A. (2020). Trading and arbitrage in cryptocurrency markets. Journal of Financial Economics, 135, 293-311. https://doi.org/10.1016/j.jfineco.2019.07.001.

Mariana, C. D., & Corbet, S. (2021). Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic? Finance Research Letters, 38, 101798. https://doi.org/10.1016/j.frl.2020.101798.

Meiklejohn, S., Pomarole, M., Jordan, G., Levchenko, K., McCoy, D., Voelker, G. M., & Savage, S. (2013). A fistful of bitcoins: Characterizing payments among men with no names. Proceedings of the 2013 Internet Measurement Conference, 127-140. https://doi.org/10.1145/2896384.

Miers, I., Garman, C., Green, M., & Rubin, A. D. (2013). Zerocoin: Anonymous distributed e-cash from Bitcoin. Proceedings of the IEEE Symposium on Security and Privacy, 397-411. https://doi.org/10.1109/SP.2013.34.

Mora, C., & Dyer, R. G. (2018). Bitcoin emissions alone could push global warming above 2°C. Nature Climate Change, 8, 932-935. https://doi.org/10.1038/s41558-018-0321-8.

Nadarajah, S., & Chu, J. (2017). On the inefficiency of Bitcoin. Economics Letters, 150, 6-10. https://doi.org/10.1016/j.econlet.2016.10.033.

Nadini, M., & De Domenico, M. (2021). Mapping the NFT revolution: market trends, trade networks, and visual features. Scientific Reports, 11, 53. https://doi.org/10.1038/s41598-021-00053-8.

Naeem, M. A., & Bouri, E. (2021). Tail dependence between bitcoin and green financial assets. Economics Letters, 208, 110068. https://doi.org/10.1016/j.econlet.2021.110068.

Okorie, D. I., & Bouri, E. (2020). Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy. Energy Economics, 87, 104703. https://doi.org/10.1016/j.eneco.2020.104703.

Pham, L., & Bouri, E. (2022). A tale of two tails among carbon prices, green and non-green cryptocurrencies. International Review of Financial Analysis, 82, 102139. https://doi.org/10.1016/j.irfa.2022.102139.

Phillip, A., & Gkillas, K. (2018). A new look at Cryptocurrencies. Economics Letters, 163, 6-10. https://doi.org/10.1016/j.econlet.2017.11.020.

Pieters, G. (2017). Financial regulations and price inconsistencies across Bitcoin markets. Information Economics and Policy, 39, 1-12. https://doi.org/10.1016/j.infoecopol.2017.02.002.

Polasik, M., & Kozinski, M. (2016). Price Fluctuations and the Use of Bitcoin: An Empirical Inquiry. International Journal of Electronic Commerce, 20 (1), 9-26. https://doi.org/10.1080/10864415.2016.1061413.

Ren, B. R., & Bouri, E. (2022). A clean, green haven? -Examining the relationship between clean energy, clean and dirty cryptocurrencies. Energy Economics, 109, 105951. https://doi.org/10.1016/j.eneco.2022.105951.

Ron, D., & Shamir, A. (2013). Quantitative analysis of the full Bitcoin transaction graph. International Conference on Financial Cryptography and Data Security, 6-24. https://doi.org/10.1007/978-3-642-39884-1_2.

Sebastiao, H., & Bouri, E. (2021). Forecasting and trading cryptocurrencies with machine learning under changing market conditions. Financial Innovation, 7, 1-18. https://doi.org/10.1186/s40854-020-00217-x.

Selgin G (2015) Synthetic commodity money[J]. Journal of Financial Stability, 17: 92-99. https://doi.org/10.1016/j.jfs.2014.07.002.

Selmi, R., & Bouri, E. (2018). Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 74, 787-796. https://doi.org/10.1016/j.eneco.2018.07.007.

Sensoy, A., & Baur, D. G. (2019). The inefficiency of Bitcoin revisited: A high-frequency analysis with alternative currencies. Finance Research Letters, 28, 68-74. https://doi.org/10.1016/j.frl.2018.04.002.

Shahzad, S. J. H., Bouri, E., Roubaud, D., & Arouri, M. (2020). Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin. Economic Modelling, 87, 212-224. https://doi.org/10.1016/j.econmod.2019.07.023.

Shahzad, S. J. H., Bouri, E., & Roubaud, D. (2019). Is Bitcoin a better safe-haven investment than gold and commodities? International Review of Financial Analysis, 63, 322-334. https://doi.org/10.1016/j.irfa.2019.01.002.

Shen, D. H. (2019). Does Twitter predict Bitcoin? Economics Letters, 174, 118-122. https://doi.org/10.1016/j.econlet.2018.11.007.

Smales, L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385-392. https://doi.org/10.1016/j.frl.2018.11.002.

Spagnuolo, M., Zolfaghari, S., Sirer, E. G., & Juels, A. (2014). BitIodine: Extracting intelligence from the Bitcoin network. Lecture Notes in Computer Science, 8437, 457-474. https://doi.org/10.1007/978-3-662-45472-5_29.

Stoll, C. (2019). The Carbon Footprint of Bitcoin. Joule, 3 (5), 1647-1660. https://doi.org/10.1016/j.joule.2019.05.012.

Tiwari, A. K., & Muttaqi, K. M. (2018). Informational efficiency of Bitcoin - An extension. Economics Letters, 163, 106-110. https://doi.org/10.1016/j.econlet.2017.12.006.

Tschorsch, F., Scheuermann, B., & Schelten, A. (2016). Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies. IEEE Communications Surveys & Tutorials, 18 (3), 2084-2123. https://doi.org/10.1109/COMST.2016.2535718.

Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80-83. https://doi.org/10.1016/j.econlet.2016.09.019.

Urquhart, A. (2017). Price clustering in Bitcoin. Economics Letters, 159, 145-148. https://doi.org/10.1016/j.econlet.2017.07.035.

Urquhart, A. (2018). What causes the attention of Bitcoin? Economics Letters, 166, 40-43. https://doi.org/10.1016/j.econlet.2018.02.017.

Urquhart, A. (2019). Is Bitcoin a hedge or safe haven for currencies? An intraday analysis. International Review of Financial Analysis, 63, 49-58. https://doi.org/10.1016/j.irfa.2019.02.009.

Wang, G. J., & Bouri, E. (2019). When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin. Finance Research Letters, 31, 489-496. https://doi.org/10.1016/j.frl.2018.12.028.

Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges. arXiv. https://doi.org/10.48550/arXiv.2105.07447

Wei, W. C., & Wang, Y. (2018). Liquidity and market efficiency in cryptocurrencies. Economics Letters, 168, 21-24. https://doi.org/10.1016/j.econlet.2018.04.003.

Xu, M., & Bouri, E. (2019). A systematic review of blockchain. Financial Innovation, 5, 1-15. https://doi.org/10.1186/s40854-019-0147-z.

Yi, S. Y., & Bouri, E. (2018). Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency? International Review of Financial Analysis, 60, 98-109. https://doi.org/10.1016/j.irfa.2018.08.012.

Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where Is Current Research on Blockchain Technology?—A Systematic Review. PLOS ONE, 11(10), e0163477. https://doi.org/10.1371/journal.pone.0163477

Yousaf, I., & Bouri, E. (2022). Static and dynamic connectedness between NFTs, DeFi and other assets: Portfolio implications. Global Finance Journal, 53, 100719. https://doi.org/10.1016/j.gfj.2022.100719.

Zhang, D. Y., & Bouri, E. (2020). Financial markets under the global pandemic of COVID-19. Finance Research Letters, 36, 101528. https://doi.org/10.1016/j.frl.2020.101528.

Zheng, Z. B., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends. IEEE International Congress on Big Data, 557-564. https://doi.org/10.1109/BigDataCongress.2017.85.

Ziegeldorf, J. H., Schmedding, D., & Wehrle, K. (2017). CoinParty: Secure Multi-Party Mixing of Bitcoins. ACM Transactions on Cyber-Physical Systems, 1(1), 1-24. https://doi.org/10.1145/2699026.2699100.