Indices on cryptocurrencies: an evaluation
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DOI: 10.1007/s42521-022-00048-8
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- Häusler, Konstantin & Xia, Hongyu, 2021. "Indices on cryptocurrencies: An evaluation," IRTG 1792 Discussion Papers 2021-014, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
References listed on IDEAS
- Georg Keilbar & Yanfen Zhang, 2021.
"On cointegration and cryptocurrency dynamics,"
Digital Finance, Springer, vol. 3(1), pages 1-23, March.
- Keilbar, Georg & Zhang, Yanfen, 2020. "On Cointegration and Cryptocurrency Dynamics," IRTG 1792 Discussion Papers 2020-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Sha Wang & Jean-Philippe Vergne, 2017. "Buzz Factor or Innovation Potential: What Explains Cryptocurrencies’ Returns?," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-17, January.
- Chen, Yi-Hsuan & Vinogradov, Dmitri V., 2021. "Coins with benefits: On existence, pricing kernel and risk premium of cryptocurrencies," IRTG 1792 Discussion Papers 2021-006, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang Karl, 2022.
"K-expectiles clustering,"
Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang, 2021. "K-expectiles clustering," IRTG 1792 Discussion Papers 2021-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2022.
"A data-driven explainable case-based reasoning approach for financial risk detection,"
Quantitative Finance, Taylor & Francis Journals, vol. 22(12), pages 2257-2274, December.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021. "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers 2107.08808, arXiv.org.
- Li, Wei & Paraschiv, Florentina & Sermpinis, Georgios, 2021. "A data-driven explainable case-based reasoning approach for financial risk detection," IRTG 1792 Discussion Papers 2021-010, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Mihoci, Andrija & Althof, Michael & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl, 2019. "FRM Financial Risk Meter," IRTG 1792 Discussion Papers 2019-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021.
"Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies,"
The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
- Petukhina, Alla A. & Reule, Raphael C. G. & Härdle, Wolfgang Karl, 2019. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," IRTG 1792 Discussion Papers 2019-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Hardle, 2020. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," Papers 2009.04200, arXiv.org.
- Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
- Zinovyev, Elizaveta & Reule, Raphael C. G. & Härdle, Wolfgang, 2021.
"Understanding Smart Contracts: Hype or hope?,"
IRTG 1792 Discussion Papers
2021-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Elizaveta Zinovyeva & Raphael C. G. Reule & Wolfgang Karl Hardle, 2021. "Understanding Smart Contracts: Hype or Hope?," Papers 2103.08447, arXiv.org.
- Trimborn, Simon & Härdle, Wolfgang Karl, 2018.
"CRIX an Index for cryptocurrencies,"
Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
- Simon Trimborn & Wolfgang Karl Hardle, 2020. "CRIX an index for cryptocurrencies," Papers 2009.09782, arXiv.org.
- Trimborn, Simon & Härdle, Wolfgang Karl, 2020. "CRIX an Index for cryptocurrencies," IRTG 1792 Discussion Papers 2020-009, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Khowaja, Kainat & Shcherbatyy, Mykhaylo & Härdle, Wolfgang Karl, 2021. "Surrogate Models for Optimization of Dynamical Systems," IRTG 1792 Discussion Papers 2021-001, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
- Wolfgang Karl Härdle & Campbell R Harvey & Raphael C G Reule, 2020.
"Understanding Cryptocurrencies,"
Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 181-208.
- Härdle, Wolfgang Karl & Harvey, Campbell R. & Reule, Raphael C. G., 2018. "Understanding Cryptocurrencies," IRTG 1792 Discussion Papers 2018-044, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
- Jacob, Daniel, 2021. "CATE meets ML: Conditional average treatment effect and machine learning," IRTG 1792 Discussion Papers 2021-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Wei Zhang & Pengfei Wang & Xiao Li & Dehua Shen, 2018. "Some stylized facts of the cryptocurrency market," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5950-5965, November.
- Albert S. Hu & Christine A. Parlour & Uday Rajan, 2019. "Cryptocurrencies: Stylized facts on a new investible instrument," Financial Management, Financial Management Association International, vol. 48(4), pages 1049-1068, December.
- Härdle, Wolfgang Karl & Trimborn, Simon, 2015. "CRIX or evaluating blockchain based currencies," SFB 649 Discussion Papers 2015-048, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Ai Jun Hou & Weining Wang & Cathy Y H Chen & Wolfgang Karl Härdle, 2020.
"Pricing Cryptocurrency Options,"
Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 250-279.
- Ai Jun Hou & Weining Wang & Cathy Y. H. Chen & Wolfgang Karl Hardle, 2020. "Pricing Cryptocurrency Options," Papers 2009.11007, arXiv.org.
- Daniel Jacob, 2021. "CATE meets ML," Digital Finance, Springer, vol. 3(2), pages 99-148, June.
- Li, Erqian & Härdle, Wolfgang & Dai, Xiaowen & Tian, Maozai, 2021. "Penalized weigted competing risks models based on quantile regression," IRTG 1792 Discussion Papers 2021-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Igor Rivin & Carlo Scevola, 2018. "The CCI30 Index," Papers 1804.06711, arXiv.org.
- Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
- Ren, Rui & Althof, Michael & Härdle, Wolfgang Karl, 2020. "Tail Risk Network Effects in the Cryptocurrency Market during the COVID-19 Crisis," IRTG 1792 Discussion Papers 2020-028, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Vogt, Annette, 2021. "Von den Mühen der Ebenen und der Berge in den Wissenschaften," IRTG 1792 Discussion Papers 2021-009, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Trimborn, Simon & Härdle, Wolfgang Karl, 2016. "CRIX or evaluating blockchain based currencies," SFB 649 Discussion Papers 2016-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Wolfgang Karl Hardle & Campbell R. Harvey & Raphael C. G. Reule, 2020. "Editorial: Understanding Cryptocurrencies," Papers 2007.14702, arXiv.org.
Citations
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Cited by:
- Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Role of hedging on crypto returns predictability: A new habit-based explanation," Finance Research Letters, Elsevier, vol. 55(PB).
- Bilel Sanhaji & Julien Chevallier, 2023.
"Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum,"
Econometrics, MDPI, vol. 11(3), pages 1-36, August.
- Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Post-Print halshs-04250353, HAL.
- Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Post-Print hal-04218488, HAL.
- Konstantin Hausler, 2022. "ETF construction on CRIX," Papers 2211.15260, arXiv.org, revised Mar 2023.
- Luis Lorenzo & Javier Arroyo, 2022. "Analysis of the cryptocurrency market using different prototype-based clustering techniques," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-46, December.
- Wang, Yizhi, 2022. "Volatility spillovers across NFTs news attention and financial markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
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Keywords
Cryptocurrency; Index; Market dynamics; Bitcoin;All these keywords.
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