Alternative Assets and Cryptocurrencies
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Vera Jotanovic & Rita Laura D’Ecclesia, 2019. "Do Diamond Stocks Shine Brighter than Diamonds?," JRFM, MDPI, vol. 12(2), pages 1-19, May.
- Takuya Shintate & Lukáš Pichl, 2019. "Trend Prediction Classification for High Frequency Bitcoin Time Series with Deep Learning," JRFM, MDPI, vol. 12(1), pages 1-15, January.
- Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019.
"Sentiment-Induced Bubbles in the Cryptocurrency Market,"
JRFM, MDPI, vol. 12(2), pages 1-12, April.
- Chen, Cathy Yi-Hsuan & Hafner, Christian, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," LIDAM Reprints ISBA 2019053, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2018. "Datestamping the Bitcoin and Ethereum bubbles," Finance Research Letters, Elsevier, vol. 26(C), pages 81-88.
- Christian M Hafner, 2020.
"Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility,"
Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 233-249.
- HAFNER Christian,, 2018. "Testing for bubbles in cryptocurrencies with time-varying volatility," LIDAM Discussion Papers CORE 2018019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian M., 2018. "Testing for bubbles in cryptocurrencies with time-varying volatility," IRTG 1792 Discussion Papers 2018-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Christian M. Hafner, 2018. "Testing for bubbles in cryptocurrencies with time-varying volatility," LIDAM Reprints CORE 3025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian, 2018. "Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility," LIDAM Reprints ISBA 2018045, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Thomas Günter Fischer & Christopher Krauss & Alexander Deinert, 2019. "Statistical Arbitrage in Cryptocurrency Markets," JRFM, MDPI, vol. 12(1), pages 1-15, February.
- Christian Conrad & Anessa Custovic & Eric Ghysels, 2018. "Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis," JRFM, MDPI, vol. 11(2), pages 1-12, May.
- Leopoldo Catania & Mads Sandholdt, 2019. "Bitcoin at High Frequency," JRFM, MDPI, vol. 12(1), pages 1-20, February.
- Irene Henriques & Perry Sadorsky, 2018. "Can Bitcoin Replace Gold in an Investment Portfolio?," JRFM, MDPI, vol. 11(3), pages 1-19, August.
- 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".
- 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".
- Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
- Su, Chi-Wei & Li, Zheng-Zheng & Tao, Ran & Si, Deng-Kui, 2018. "Testing for multiple bubbles in bitcoin markets: A generalized sup ADF test," Japan and the World Economy, Elsevier, vol. 46(C), pages 56-63.
- Lennart Ante & Philipp Sandner & Ingo Fiedler, 2018. "Blockchain-Based ICOs: Pure Hype or the Dawn of a New Era of Startup Financing?," JRFM, MDPI, vol. 11(4), pages 1-19, November.
- Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
- Fabian Bocart, 2018. "Inflation Propensity of Collatz Orbits: A New Proof-of-Work for Blockchain Applications," JRFM, MDPI, vol. 11(4), pages 1-18, November.
- Adrian (Wai-Kong) Cheung & Eduardo Roca & Jen-Je Su, 2015. "Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2348-2358, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Christian M. Hafner & Sabrine Majeri, 2022.
"Analysis of cryptocurrency connectedness based on network to transaction volume ratios,"
Digital Finance, Springer, vol. 4(2), pages 187-216, September.
- Hafner, Christian M. & Majeri , Sabrine, 2022. "Analysis of cryptocurrency connectedness based on network to transaction volume ratios," LIDAM Reprints ISBA 2022033, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019.
"Sentiment-Induced Bubbles in the Cryptocurrency Market,"
JRFM, MDPI, vol. 12(2), pages 1-12, April.
- Chen, Cathy Yi-Hsuan & Hafner, Christian, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," LIDAM Reprints ISBA 2019053, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Kyriazis, Nikolaos & Papadamou, Stephanos & Corbet, Shaen, 2020. "A systematic review of the bubble dynamics of cryptocurrency prices," Research in International Business and Finance, Elsevier, vol. 54(C).
- Adam Hayes, 2018. "Bitcoin price and its marginal cost of production: support for a fundamental value," Papers 1805.07610, arXiv.org.
- Shigeyuki Hamori, 2020. "Recent Advancements in Section “Financial Technology and Innovation”," JRFM, MDPI, vol. 13(12), pages 1-2, December.
- Andrada-Félix, Julián & Fernandez-Perez, Adrian & Sosvilla-Rivero, Simón, 2020.
"Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
- Julián Andrada-Félix & Adrian Fernandez-Perez & Simón Sosvilla-Rivero, 2019. "“Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities”," IREA Working Papers 201912, University of Barcelona, Research Institute of Applied Economics, revised Jul 2019.
- Chowdhury, Md Shahedur R. & Damianov, Damian S., 2024. "Uncertainty and bubbles in cryptocurrencies: Evidence from newly developed uncertainty indices," International Review of Financial Analysis, Elsevier, vol. 91(C).
- Chen, Bin-xia & Sun, Yan-lin, 2024. "Risk characteristics and connectedness in cryptocurrency markets: New evidence from a non-linear framework," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
- Assaf, Ata & Demir, Ender & Ersan, Oguz, 2024. "Detecting and date-stamping bubbles in fan tokens," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 98-113.
- Chaim, Pedro & Laurini, Márcio P., 2019. "Is Bitcoin a bubble?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 222-232.
- Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018.
"Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance,"
International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
- Klein, Tony & Thu, Hien Pham & Walther, Thomas, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," IRTG 1792 Discussion Papers 2018-015, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Klein, Tony & Hien, Pham Thu & Walther, Thomas, 2018. "Bitcoin Is Not the New Gold: A Comparison of Volatility, Correlation, and Portfolio Performance," QBS Working Paper Series 2018/01, Queen's University Belfast, Queen's Business School.
- Thomas Walther & Tony Klein & Hien Pham Thu, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," Working Papers on Finance 1812, University of St. Gallen, School of Finance.
- Enoksen, F.A. & Landsnes, Ch.J. & Lučivjanská, K. & Molnár, P., 2020. "Understanding risk of bubbles in cryptocurrencies," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 129-144.
- Florin Aliu & Ujkan Bajra & Naim Preniqi, 2021. "Analysis of diversification benefits for cryptocurrency portfolios before and during the COVID-19 pandemic," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 39(3), pages 444-457, September.
- Toan Luu Duc Huynh, 2019. "Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas," JRFM, MDPI, vol. 12(2), pages 1-19, April.
- Figà-Talamanca, Gianna & Focardi, Sergio & Patacca, Marco, 2021. "Regime switches and commonalities of the cryptocurrencies asset class," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Bourghelle, David & Jawadi, Fredj & Rozin, Philippe, 2022.
"Do collective emotions drive bitcoin volatility? A triple regime-switching vector approach,"
Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 294-306.
- David Bourghelle & Fredj Jawadi & Philippe Rozin, 2022. "Do collective emotions drive bitcoin volatility? A triple regime-switching vector approach [Est-ce que les émotions collectives ont une influence directrice sur la volatilité?]," Post-Print hal-04412029, HAL.
- Leonardo Ieracitano Vieira & Márcio Poletti Laurini, 2023. "Time-varying higher moments in Bitcoin," Digital Finance, Springer, vol. 5(2), pages 231-260, June.
- Fang, Tong & Su, Zhi & Yin, Libo, 2020. "Economic fundamentals or investor perceptions? The role of uncertainty in predicting long-term cryptocurrency volatility," International Review of Financial Analysis, Elsevier, vol. 71(C).
- Rebekka Buse & Konstantin Gorgen & Melanie Schienle, 2022. "Predicting Value at Risk for Cryptocurrencies With Generalized Random Forests," Papers 2203.08224, arXiv.org, revised Oct 2024.
- De Pace, Pierangelo & Rao, Jayant, 2023.
"Comovement and instability in cryptocurrency markets,"
International Review of Economics & Finance, Elsevier, vol. 83(C), pages 173-200.
- De Pace, Pierangelo & Rao, Jayant, 2020. "Comovement and Instability in Cryptocurrency Markets," Economics Department, Working Paper Series 1012, Economics Department, Pomona College, revised 14 Jan 2020.
More about this item
Keywords
fintech; alternative investments; digital finance; blockchain; bitcoin;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:13:y:2020:i:1:p:7-:d:304783. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.