A Study of Optimal Portfolio of Gold and Bitcoin Based on Risk and Return

Authors

  • Yan Zhang
  • Hongwei Zhang
  • Yu Ma

DOI:

https://doi.org/10.54691/bcpbm.v26i.1822

Keywords:

Risk model; optimal strategy; Sharpe ratio; DEA.

Abstract

Recently, Digital money is booming, and bitcoin shows potential in the field of investment as a representative of digital currency. According to modern portfolio theory, most of the investors are absolute risk-averter, and a diversified portfolio can effectively reduce the risk. So investors usually combine bitcoin with other assets to reduce non-systemic risks. Therefore, it is of great importance to formulate a feasible portfolio that can make steady returns for investors. For this reason, we build models to find suitable strategy to quantify the proportion of assets invested so that investors can make optimal investment decisions. We measure the return, risk, and efficiency of risk model’s portfolio by sharpe ratio. And based on DEA method, the multi-stage portfolio with V-type transaction cost is evaluated by comparing the portfolio from risk model with the portfolio by applying DEA method, and finally we prove that the strategy is the optimal one. Finally, the advantages and disadvantages of this model are analyzed and summarized.

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References

Myles E Mangram. A simplified perspective of the Markowitz portfolio the ory. Global journal of business research 7 (1), 2013.

Torben G Andersen, Tim Bollerslev, Francis Diebold. Volatility and correla tion forecasting. Handbook of economic forecasting 1, 2006.

William W Cooper, Lawrence M Seiford, Kaoru Tone. Introduction to data envelopment analysis and its uses: with DEA-solver software and references. Springer Science Business Media, 2006.

Aziz Boussofiane, Robert G Dyson, Emmanuel Thanassoulis. Applied data en velopment analysis. European journal of operational research 52 (1), 1 - 15, 1991.

William WS Wei. Time series analysis. The Oxford Handbook of Quantitative Methods in Psychology: Vol.2, 2006.

Pavel Ciaian, Miroslava Rajcaniova, d¡¯Artis Kancs. The economics of BitCoin price formation. Applied economics 48 (19), 1799 - 1815, 2016.

Wen Fang, Xue Deng. The Study of portfolio and evaluation of efficiency based on DEA model. Journal of Science of Teachers¡ffCollege and University, Vol 39, 2019.

Robert J Shiller. Market volatility. MIT press, 1992.

Frank K Reilly, Keith Brown. Investment Analysis and Portfolio Management. Cengage Learning, 2011.

Kurt Binder, Dieter Heermann, Lyle Roelofs, A John Mallinckrodt, Susan McKay. Monte Carlo simulation in statistical physics. Computers in Physics 7 (2), 156 - 157, 1993.

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Published

2022-09-19

How to Cite

Zhang, Y., Zhang, H., & Ma, Y. (2022). A Study of Optimal Portfolio of Gold and Bitcoin Based on Risk and Return. BCP Business & Management, 26, 25-32. https://doi.org/10.54691/bcpbm.v26i.1822