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Balancing cryptoassets and gold: a weighted-risk-contribution index for the alternative asset space
- Source :
- 1st International Conference on Mathematical Research for Blockchain Economy, Mathematical Research for Blockchain Economy, Mathematical Research for Blockchain Economy, 81, Springer International Publishing; Springer International Publishing, pp.157-173, 2020, Springer Proceedings in Business and Economics, ⟨10.1007/978-3-030-37110-4_15⟩, Mathematical Research for Blockchain Economy ISBN: 9783030371098, MARBLE, MARBLE 2019, MARBLE 2019, May 2019, Santorini, Greece. ⟨10.1007/978-3-030-37110-4_15⟩
- Publication Year :
- 2019
- Publisher :
- Springer Verlag, 2019.
-
Abstract
- International audience; Bitcoin is foremost amongst the emerging asset class known as cryptoassets. Two noteworthy characteristics of the returns of non-stablecoin cryptoassets are their high volatility, which brings with it a high level of risk, and their high intraclass correlation, which limits the benefits that can be had by diversifying across multiple cryptoassets. Yet cryptoassets exhibit no correlation with gold, a highly-liquid yet scarce asset which has proved to function as a safe haven during crises affecting traditional financial systems. As exemplified by Shannon's Demon, a lack of correlation between assets opens the door to principled risk control through so-called volatility harvesting involving periodic rebalancing. In this paper we propose an index which combines a basket of five cryp-toassets with an investment in gold in a way that aims to improve the risk profile of the resulting portfolio while preserving its independence from mainstream financial asset classes such as stocks, bonds and fiat currencies. We generalise the theory of Equal Risk Contribution to allow for weighting according to a desired level of contribution to volatility. We find a crypto-gold weighting based on Weighted Risk Contribution to be historically more effective in terms of Sharpe Ratio than several alternative asset allocation strategies including Shannon's Demon. Within the crypto-basket, whose constituents are selected and rebalanced monthly, we find an Equal Weighting scheme to be more effective in terms of the same metric than a market capitalisation weighting.
- Subjects :
- Rebalancing premium
Financial asset
[QFIN.PM]Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM]
Asset allocation
Equal risk contribution
IRG_AXE1
Weighted risk contribution
[QFIN.CP]Quantitative Finance [q-fin]/Computational Finance [q-fin.CP]
0502 economics and business
Cryptoassets
Economics
Econometrics
Artificial Intelligence & Image Processing
Risk management
040101 forestry
[QFIN.GN]Quantitative Finance [q-fin]/General Finance [q-fin.GN]
050208 finance
business.industry
Sharpe ratio
05 social sciences
04 agricultural and veterinary sciences
[QFIN.ST]Quantitative Finance [q-fin]/Statistical Finance [q-fin.ST]
Weighting
Index
Volatility
0401 agriculture, forestry, and fisheries
Portfolio
[SHS.GESTION]Humanities and Social Sciences/Business administration
Volatility (finance)
business
Alternative asset
Bitcoin Gold
Subjects
Details
- ISBN :
- 978-3-030-37109-8
- ISBNs :
- 9783030371098
- Database :
- OpenAIRE
- Journal :
- 1st International Conference on Mathematical Research for Blockchain Economy, Mathematical Research for Blockchain Economy, Mathematical Research for Blockchain Economy, 81, Springer International Publishing; Springer International Publishing, pp.157-173, 2020, Springer Proceedings in Business and Economics, ⟨10.1007/978-3-030-37110-4_15⟩, Mathematical Research for Blockchain Economy ISBN: 9783030371098, MARBLE, MARBLE 2019, MARBLE 2019, May 2019, Santorini, Greece. ⟨10.1007/978-3-030-37110-4_15⟩
- Accession number :
- edsair.doi.dedup.....7dba4d07df9d7b774a69b9ab816bb413
- Full Text :
- https://doi.org/10.1007/978-3-030-37110-4_15⟩