Analyzing diversification benefits of cryptocurrencies through backfill simulation
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DOI: 10.1016/j.frl.2022.103238
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- Sifat, Imtiaz, 2021. "On cryptocurrencies as an independent asset class: Long-horizon and COVID-19 pandemic era decoupling from global sentiments," Finance Research Letters, Elsevier, vol. 43(C).
- Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
- repec:dau:papers:123456789/4688 is not listed on IDEAS
- Stambaugh, Robert F., 1997.
"Analyzing investments whose histories differ in length,"
Journal of Financial Economics, Elsevier, vol. 45(3), pages 285-331, September.
- Robert F. Stambaugh, "undated". "Analyzing Investments Whose Histories Differ in Length," Rodney L. White Center for Financial Research Working Papers 5-96, Wharton School Rodney L. White Center for Financial Research.
- Robert F. Stambaugh, 1997. "Analyzing Investments Whose Histories Differ in Length," NBER Working Papers 5918, National Bureau of Economic Research, Inc.
- Robert F. Stambaugh, "undated". "Analyzing Investments Whose Histories Differ in Length," Rodney L. White Center for Financial Research Working Papers 05-96, Wharton School Rodney L. White Center for Financial Research.
- David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
- Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020.
"Empirical Asset Pricing via Machine Learning,"
The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
- Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
- Shihao Gu & Bryan T. Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," Swiss Finance Institute Research Paper Series 18-71, Swiss Finance Institute.
- Andros Gregoriou, 2019. "Cryptocurrencies and asset pricing," Applied Economics Letters, Taylor & Francis Journals, vol. 26(12), pages 995-998, July.
- Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017.
"On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?,"
Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
- Elie Bouri & Peter Molnár & Georges Azzi & David Roubaud & Lars Ivar Hagfors, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Post-Print hal-02000697, HAL.
- Mourad Mroua & Slah Bahloul & Nader Naifar, 2022. "Should investors include bitcoin in their portfolio? New evidence from a bootstrap-based stochastic dominance approach," Applied Economics Letters, Taylor & Francis Journals, vol. 29(1), pages 53-62, January.
- Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
- Bianchi, Daniele & Babiak, Mykola, 2022.
"On the performance of cryptocurrency funds,"
Journal of Banking & Finance, Elsevier, vol. 138(C).
- Daniele Bianchi & Mykola Babiak, 2020. "On the Performance of Cryptocurrency Funds," CERGE-EI Working Papers wp672, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Bianchi, Daniele & Babiak, Mykola, 2021. "On the Performance of Cryptocurrency Funds," Working Paper Series 408, Sveriges Riksbank (Central Bank of Sweden).
- Liu, Weiyi, 2019. "Portfolio diversification across cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 200-205.
- Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
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Keywords
Cryptocurrency; Diversification; Lasso regression; Backfill simulation;All these keywords.
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