Abstract
One of the main purposes of the investors is to reduce the total risk of the portfolio. In order to achieve this purpose, investors increase the variety of the assets that they include to the portfolio. In today’s financial world the number of the alternatives for the investors increases day by day. One of these alternatives is cryptocurrencies which start with Bitcoin (BTC) in 2008 and having increasing number of variety and popularity. Cryptocurrencies have become an attractive investment alternative for many investors due to their high returns and low correlations with the other assets. But, since these assets are relatively new, it is necessary to determine the return dynamics and analyze their relations with other financial assets in order to achieve the desired benefit for portfolio or risk management. On the other hand, another alternative for the investors who want to invest in different financial instruments, differently from traditional assets such as stocks and bonds, is precious metals. Besides their usage for industrial purposes, precious metals are considered as financial assets to be included in the portfolio, and they are used for diversification by being invested with different financial assets. In this context, the purpose of this study is to analyze the relationships between cryptocurrencies and precious metals, and to investigate their usability in portfolio and risk management. In line with this purpose, causality relationships between the most popular cryptocurrency Bitcoin and gold, silver, platinum, palladium, ruthenium, rhodium, iridium, osmium, rhenium are analyzed by asymmetric causality in frequency domain approach.
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It is needed to determine the additional lag length to be added to the model for the later analyses. Also, in order to test the stationarity of the series intercept and tend model was chosen since the series of positive and negative shocks are cumulative.
References
Ali, R., Barrdear, J., Clews, R., & Southgate, J. (2014). Innovations in payment technologies and the emergence of digital currencies. Bank of England Quarterly Bulletin, Q3.
Aloui, C., Hkiri, B., Lau, C. K. M., & Yarovaya, L. (2016). Investors’ sentiment and US Islamic and conventional indexes nexus: A time—frequency analysis. Finance Research Letters, 19, 54–59. https://doi.org/10.1016/j.frl.2016.06.002
Arouri, M., Uddin, G. S., Kyophilavong, P., Teulon, F., & Tiwari, A. K. (2014). Energy utilization and economic growth in France: Evidence from asymmetric causality Test (No. 2014-102). Retrieved from http://v6.ipag.fr/wp-content/uploads/recherche/WP/IPAG_WP_2014_102.pdf
Baek, C., & Elbeck, M. (2015). Bitcoins as an investment or speculative vehicle? A first look. Applied Economics Letters, 22(1), 30–34. https://doi.org/10.1080/13504851.2014.916379
Baur, D. G., Dimpf, T., & Kuck, K. (2018). Bitcoin, gold and the US dollar—A replication and extension. Finance Research Letters, 25, 103–110. https://doi.org/10.1016/j.frl.2017.10.012
Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets Institutions and Money, 54, 177–189. https://doi.org/10.1016/j.intfin.2017.12.004
Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886–1898. https://doi.org/10.1016/j.jbankfin.2009.12.008
Beckmann, J., Berger, T., & Czudaj, R. (2015). Does gold act as a hedge or a safe haven for stocks? A smooth transition approach. Economic Modelling, 48, 16–24. https://doi.org/10.1016/j.econmod.2014.10.044
Bouri, E., Jalkh, N., Molnár, P., & Roubaud, D. (2017). Bitcoin for energy commodities before and after the December 2013 crash: Diversifier, hedge or safe haven? Applied Economics, 49(50), 5063–5073. https://doi.org/10.1080/00036846.2017.1299102
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, 192–198. https://doi.org/10.1016/j.frl.2016.09.025
Bredin, D., Conlon, T., & Potì, V. (2015). Does gold glitter in the long-run? Gold as a hedge and safe haven across time and investment horizon. International Review of Financial Analysis, 41, 320–328. https://doi.org/10.1016/j.irfa.2015.01.010
Breitung, J., & Candelon, B. (2006). Testing for short and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363–378. https://doi.org/10.1016/j.jeconom.2005.02.004
Brière, M., Oosterlinck, K., & Szafarz, A. (2015). Virtual currency, tangible return: Portfolio diversification with Bitcoin. Journal of Asset Management, 16(6), 365–373. https://doi.org/10.1057/jam.2015.5
Brito, J., & Castillo, A. (2013). Bitcoin: A primer for policymakers. Arlington: Mercatus Center at George Mason University.
Carrick, J. (2016). Bitcoin as a complement to emerging market currencies. Emerging Markets Finance and Trade, 52(10), 2321–2334. https://doi.org/10.1080/1540496X.2016.1193002
Chuen, D. L. K., & Wang, L. G. (2018). Cryptocurrency: A new investment opportunity? Journal of Alternative Investment, 20(3), 16–40. https://doi.org/10.3905/jai.2018.20.3.016
Ciner, C. (2011). Information transmission across currency futures markets: Evidence from frequency domain tests. International Review of Financial Analysis, 20(3), 134–139. https://doi.org/10.1016/j.irfa.2011.02.010
Conover, C. M., Jensen, G. R., Johnson, R. R., & Mercer, J. M. (2009). Can precious metals make your portfolio shine? Journal of Investing, 18(1), 75–86. https://doi.org/10.3905/JOI.2009.18.1.075
Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. https://doi.org/10.1016/j.econlet.2018.01.004
Doornik, J. A., & Hansen, H. (2008). An omnibus test for univariate and multivariate normality. Oxford Bulletin of Economics and Statistics, 70, 927–939. https://doi.org/10.1111/j.1468-0084.2008.00537.x
Dyhrberg, A. H. (2016). Bitcoin, gold and the dollar—A GARCH volatility analysis. Finance Research Letters, 16, 85–92. https://doi.org/10.1016/j.frl.2015.10.008
Faisal, F., Tursoy, T., & Berk, N. (2018). Linear and non-linear impact of internet usage and financial deepening on electricity consumption for Turkey: Empirical evidence from asymmetric causality. Environmental Science and Pollution Research, 25(12), 11536–11555. https://doi.org/10.1007/s11356-018-1341-7
Geweke, J. (1982). Measurement of linear dependence and feedback between multiple time series. Journal of the American Statistical Association, 77(378), 304–313. https://doi.org/10.1080/01621459.1982.10477803
Giudici, P., & Hashish, I. A. (2018). What determines Bitcoin exchange prices? A network VAR approach. Finance Research Letters, 28, 309–318. https://doi.org/10.1016/j.frl.2018.05.013
Glaser, F., Haferhorn, M., Weber, M. C., Zimmarmann, K., & Siering, M. (2014, April 15). Bitcoin-asset or currency? Revealing users’ hidden intentions. ECIS.
Gozgor, G. (2015). Causal relation between economic growth and domestic credit in the economic globalization: Evidence from the Hatemi-J’s test. The Journal of International Trade and Economic Development, 24(3), 395–408. https://doi.org/10.1080/09638199.2014.908325
Granger, C. W., & Yoon, G. (2002). Hidden cointegration (Economics working paper, (2002-02)). University of California. https://doi.org/10.2139/ssrn.313831
Guesmi, K., Saadi, S., Abid, I., & Ftiti, Z. (2018). Portfolio diversification with virtual currency: Evidence from Bitcoin. International Review of Financial Analysis, 63, 431–437. https://doi.org/10.1016/j.irfa.2018.03.004
Hacker, R. S., & Hatemi-J, A. (2005). A test for multivariate ARCH effects. Applied Economics Letters, 12(7), 411–417. https://doi.org/10.1080/13504850500092129
Halkos, G. E., & Tzeremes, N. G. (2013). Renewable energy consumption and economic efficiency: Evidence from European countries. Journal of Renewable and Sustainable Energy, 5(4), 1–13. https://doi.org/10.1063/1.4812995
Hatemi-j, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447–456. https://doi.org/10.1007/s00181-011-0484-x
Hillier, D., Draper, P., & Faff, P. (2006). Do precious metals shine? An investment perspective. Financial Analysts Journal, 62(2), 98–106. https://doi.org/10.2469/faj.v62.n2.4085
Hong, K. (2017). Bitcoin as an alternative investment vehicle. Information Technology and Management, 18(4), 265–275. https://doi.org/10.1007/s10799-016-0264-6
Hood, M., & Malik, F. (2013). Is gold the best hedge and a safe haven under changing stock market volatility? Review of Financial Economics, 22(2), 47–52. https://doi.org/10.1016/j.rfe.2013.03.001
Hosoya, Y. (1991). The decomposition and measurement of the interdependency between second-order stationary processes. Probability Theory and Related Fields, 88(4), 429–444. https://doi.org/10.1007/BF01192551
İçellioğlu, C. Ş., & Öztürk, M. B. E. (2018). Bitcoin ile seçili döviz kurları arasındaki ilişkinin araştırılması: 2013–2017 dönemi için Johansen Testi ve Granger Nedensellik Testi. Maliye ve Finans Yazıları, 109, 51–70.
Iqbal, J. (2017). Does gold hedge stock market, inflation and exchange rate risks? An econometric investigation. International Review of Economic and Finance, 48, 1–17. https://doi.org/10.1016/j.iref.2016.11.005
Ji, Q., Bouri, E., Gupta, R., & Roubaud, D. (2018). Network causality structures among Bitcoin and other financialassets: A directed acyclic graph approach. The Quarterly Review of Economics and Finance, 70, 203–213. https://doi.org/10.1016/j.qref.2018.05.016
Klein, T., Thu, H. P., & Walther, T. (2018). Bitcoin is not the new gold—A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105–116. https://doi.org/10.1016/j.irfa.2018.07.010
Lucey, B. M., & Li, S. (2015). What precious metals act as safe havens, and when? Some US evidence. Applied Economics Letters, 22(1), 35–45. https://doi.org/10.1080/13504851.2014.920471
Malović, M. (2014). Demystifying Bitcoin: Sleight of hand or major global currency alternative? Economic Analysis, 47(1–2), 32–41. Retrieved from https://www.library.ien.bg.ac.rs/index.php/ea/article/view/283
McCown, J. R., & Shaw, R. (2017). Investment potential and risk hedging characteristics of platinum group metals. The Quarterly Review of Economics and Finance, 63, 328–337. https://doi.org/10.1016/j.qref.2016.06.001
Mensi, W., Hammoudeh, S., & Kang, H. (2015). Precious metals, cereal, oil and stock market linkages and portfolio risk management: Evidence from Saudi Arabia. Economic Modelling, 51, 340–358. https://doi.org/10.1016/j.econmod.2015.08.005
Nguyen, D. K., Sousa, R. M., & Uddin, G. S. (2015). Testing for asymmetric causality between US equity returns and commodity futures returns. Finance Research Letters, 12, 38–47. https://doi.org/10.1016/j.frl.2014.12.002
Peng, Y., Albuquerque, P. H. M., Camboim de Sá, J. M., Padula, A. J. A., & Montenegro, M. R. (2018). The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression. Expert Systems with Applications, 97, 177–192. https://doi.org/10.1016/j.eswa.2017.12.004
Ranjbar, O., Chang, T., Nel, E., & Gupta, R. (2017). Energy consumption and economic growth nexus in South Africa: Asymmetric frequency domain approach. Energy Sources, Part B: Economics, Planning and Policy, 12(1), 24–31. https://doi.org/10.1080/15567249.2015.1020120
Rehman, M. U., & Apergis, N. (2018). Determining the predictive power between cryptocurrencies and real time commodity futures: Evidence from quantile causality tests. Research Policy, 61, 603–616. https://doi.org/10.1016/j.resourpol.2018.08.015
Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199–212. https://doi.org/10.1016/j.eneco.2017.01.023
Sontakke, K. A., & Ghaisas, A. (2017). Cryptocurrencies: A developing asset class. International Journal of Business Insights and Transformation, 10(2), 10–17.
Taylor, N. J. (1998). Precious metals and inflation. Applied Financial Economics, 8(2), 201–210. https://doi.org/10.1080/096031098333186
Trabelsi, N. (2018). Are there any volatility spill-over effects among cryptocurrencies and widely traded asset classes? Journal of Risk and Financial Management, 11(66), 1–17. https://doi.org/10.3390/jrfm11040066
Yermack, D. (2014). Is Bitcoin a real currency? An economic appraisal (NBER working paper, no 19747).
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Kamisli, M. (2019). Cryptocurrencies as an Investment Vehicle: The Asymmetric Relationships Between Bitcoin and Precious Metals. In: Hacioglu, U. (eds) Blockchain Economics and Financial Market Innovation. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-25275-5_16
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