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Achieving Portfolio Diversification through Cryptocurrencies in European Markets Cover

Achieving Portfolio Diversification through Cryptocurrencies in European Markets

Business Systems Research Journal
Volume 10 (2019): Issue 2 (September 2019)
By:
Open Access
|Sep 2019

References

  1. 1. Arnerić J. (2007), “Ekonometrijsko modeliranje rizika na hrvatskom tržištu kapitala” (Econometric approach to risk modelling at Croatian capital market), Master’s Thesis, Zagreb, Faculty of Economics and Business.
    Search in Google ScholarBack to article
  2. 2. Bauwens, L., Laurent, S., Rombouts, J. V. K. (2006), “Multivariate GARCH models: A survey”, Journal of Applied Econometrics, Vol. 21, No. 1, pp. 79-109.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1002/jae.842" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/jae.842</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  3. 3. Bouri, E., Jalkh, N., Molnár, P., Roubaud, D. (2017a), “Bitcoin for energy commodities before and after the December 2013 crash: diversifier, hedge or safe haven?”, Applied Economics, Vol. 49, No. 50, pp. 5063-5073.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1080/00036846.2017.1299102" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/00036846.2017.1299102</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  4. 4. Bouri, E., Molnár, P., Azzi, G., Roubaud, D., Hagfors L. I. (2017b), “On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?”, Finance Research Letters, Vol. 20, pp. 192-198.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.frl.2016.09.025" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.frl.2016.09.025</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  5. 5. Bouri, E., Gupta, R., Tiwari, A. K., Roubaud, D. (2017c), “Does Bitcoin hedge global uncertainty? Evidence from Wavelet-based quantile-in-quantile regressions”, Finance Research Letters, Vol. 23, pp. 87-95.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.frl.2017.02.009" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.frl.2017.02.009</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  6. 6. Brière, M., Oosterlinck, K., Szafarz, A. (2015), “Virtual currency, tangible return: Portfolio diversification with Bitcoin”, Journal of Asset Management, Vol. 16, No. 6, pp. 365-373.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1057/jam.2015.5" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1057/jam.2015.5</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  7. 7. Cermak, V. (2017), “Can Bitcoin Become a Viable Alternative to Fiat Currencies? An Empirical Analysis of Bitcoin's Volatility Based on a GARCH Model”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2961405">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2961405</ext-link> (19 August 2018).<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.2139/ssrn.2961405" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2139/ssrn.2961405</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  8. 8. Chu, J., Chan, S., Nadarajah, S., Osterrieder, J. (2017), “GARCH Modelling of Cryptocurrencies”, Journal of Risk and Financial Management, Vol. 10, No. 4.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.3390/jrfm10040017" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/jrfm10040017</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  9. 9. CNN Money Stock Market Data (N/A), available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://money.cnn.com/data/markets">https://money.cnn.com/data/markets</ext-link> (18 August 2018).
    Search in Google ScholarBack to article
  10. 10. Croatian Financial Services Supervisory Agency (N/A), “Capital market”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.hanfa.hr/trziste-kapitala/">https://www.hanfa.hr/trziste-kapitala/</ext-link> (20 August 2018).
    Search in Google ScholarBack to article
  11. 11. Dhyrberg, A. H. (2015), “Hedging Capabilities of Bitcoin. Is it the virtual gold?”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://researchrepository.ucd.ie/handle/10197/7169">https://researchrepository.ucd.ie/handle/10197/7169</ext-link> (19 August 2018).
    Search in Google ScholarBack to article
  12. 12. Eisl, A., Gasser, S. M., Weinmayer, K. (2015), “Caveat emptor: Does Bitcoin improve portfolio diversification?”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2408997">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2408997</ext-link> (18 August 2018).<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.2139/ssrn.2408997" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2139/ssrn.2408997</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  13. 13. Engle, R. F. (2002), “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models”, Journal of Business &amp; Economic Statistics, Vol. 20, No. 3, pp. 339-350.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1198/073500102288618487" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1198/073500102288618487</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  14. 14. Engle, R. F., Sheppard, K. (2001), “Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH”, NBER Working Paper 8554, National Bureau of Economic Research.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.3386/w8554" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3386/w8554</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  15. 15. ESMA (2018), “ESMA, EBA, and EIOPA warn consumers on the risks of Virtual Currencies”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.esma.europa.eu/press-news/esma-news/esas-warn-consumers-risks-in-buying-virtual-currencies">https://www.esma.europa.eu/press-news/esma-news/esas-warn-consumers-risks-in-buying-virtual-currencies</ext-link> (18 August 2018).
    Search in Google ScholarBack to article
  16. 16. European Central Bank (2012), “Virtual Currency Schemes”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.ecb.int/pub/pdf/other/virtualcurrencyschemes201210en.pdf">http://www.ecb.int/pub/pdf/other/virtualcurrencyschemes201210en.pdf</ext-link> (18 August 2018).
    Search in Google ScholarBack to article
  17. 17. European Central Bank (2018), available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.ecb.europa.eu/home/html/index.en.html">https://www.ecb.europa.eu/home/html/index.en.html</ext-link> (20 August 2018).
    Search in Google ScholarBack to article
  18. 18. European Commission (2018), available at <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://ec.europa.eu/">https://ec.europa.eu/</ext-link> (20 August 2018).
    Search in Google ScholarBack to article
  19. 19. Hajba, M. (2009), “Wavelet (valić) transformacija” (Wavelet Transform), Hrvatski matematički elektronički časopis (math.e), Vol. 28, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://e.math.hr/vol28/Hajba">http://e.math.hr/vol28/Hajba</ext-link> (17 August 2018).
    Search in Google ScholarBack to article
  20. 20. Halaburda, H., Gandal, N. (2016), “Competition in the Cryptocurrency Market”, NET Institute Working Paper, pp. 14-17.
    Search in Google ScholarBack to article
  21. 21. Hayes, A. (2015), “The Decision to Produce Altcoins: Miners' Arbitrage in Cryptocurrency Markets”, The New School for Social Research Working Paper, 04/2015.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.2139/ssrn.2579448" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2139/ssrn.2579448</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  22. 22. Jurić, M. (2014), “Analiza optimalnog portfelja odabranih dionica na hrvatskom tržištu kapitala GARCH modelom” (Analysis of the Optimal Portfolio of Selected Stocks on the Croatian Capital Market Using GARCH Model), Graduate Thesis, Zagreb, Faculty of Economics and Business.
    Search in Google ScholarBack to article
  23. 23. Katsiampa, P. (2017), “Volatility estimation for Bitcoin: A comparison of GARCH models”, Economics Letters, Vol. 158, pp. 3-6.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.econlet.2017.06.023" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.econlet.2017.06.023</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  24. 24. Kristoufek, L. (2015), “What Are the Main Drivers of the Bitcoin Price?, Evidence from Wavelet Coherence Analysis”, PLoS ONE, Vol. 10, No. 4.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1371/journal.pone.0123923" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1371/journal.pone.0123923</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  25. 25. Lim, S. J., Masih, M. (2017), “Exploring portfolio diversification opportunities in Islamic capital markets through bitcoin: evidence from MGARCH-DCC and Wavelet approaches”, MPRA Paper, 79752.
    Search in Google ScholarBack to article
  26. 26. Madaleno, M., Pinho, C. (2012), “International stock market indices comovements: a new look”, International Journal of Finance &amp; Economics, Vol. 17, No. 1, pp. 89-102.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1002/ijfe.448" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/ijfe.448</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  27. 27. Penrose, K. L. (2014), “Banking on Bitcoin: Applying Anti-Money Laundering and Money Transmitter Laws”, North Carolina Banking Institute, Vol. 18, pp. 529-551.
    Search in Google ScholarBack to article
  28. 28. Poyser, O. (2017), “Exploring the determinants of Bitcoin's price: an application of Bayesian Structural Time Series”, Ph.D. Thesis, New York: Cornell University.
    Search in Google ScholarBack to article
  29. 29. Rahim, A. M., Masih, M. (2016), “Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches”, Economic Modelling, Vol. 54, pp. 425-438.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.econmod.2015.12.033" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.econmod.2015.12.033</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  30. 30. Stavroyiannis, S., Babalos V. (2017), “Dynamic properties of the Bitcoin and the US market”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2966998">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2966998</ext-link> (20 August 2018).<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.2139/ssrn.2966998" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2139/ssrn.2966998</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  31. 31. Tillier, M. (2015), “Accept That Bitcoin is a Currency and Stop Blaming the Victims of Crime”, NASDAQ, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.nasdaq.com/article/accept-that-bitcoin-is-acurrency-and-stopblaming-the-victims-of-crime-cm442726">http://www.nasdaq.com/article/accept-that-bitcoin-is-acurrency-and-stopblaming-the-victims-of-crime-cm442726</ext-link> (21 August 2018).
    Search in Google ScholarBack to article
  32. 32. Tse, Y. K., Tsui, A. K. C. (2002), “A Multivariate GARCH Model with Time-Varying Correlations”, Journal of Business and Economic Statistics, Vol. 20, No. 3, pp. 351-362.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1198/073500102288618496" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1198/073500102288618496</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  33. 33. Urquhart, A. (2017), “The volatility of Bitcoin”, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2921082">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2921082</ext-link> (20 August 2018).<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.2139/ssrn.2921082" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2139/ssrn.2921082</a></dgdoi:pub-id>
    Search in Google ScholarBack to article
  34. 34. Velde, F. R. (2013), “Bitcoin: A primer”, The Federal Reserve Bank of Chicago, available at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.chicagofed.org/~/media/publications/chicago-fed-letter/2013/cfldecember2013-317-pdf.pdf">https://www.chicagofed.org/~/media/publications/chicago-fed-letter/2013/cfldecember2013-317-pdf.pdf</ext-link> (20 August 2018).
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/bsrj-2019-020 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
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Language: English
Page range: 85 - 107
Submitted on: Oct 2, 2018
Accepted on: Feb 3, 2019
Published on: Sep 16, 2019
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
Bitcoin,
portfolio diversification,
volatility clustering,
wavelet,
cryptocurrencies
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance,
Business management, other,
Mathematics and statistics for economists,
Mathematics

© 2019 Ana Pavković, Mihovil Anđelinović, Ivan Pavković, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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