78
IRUS Total
Downloads
  Altmetric

Balancing cryptoassets and gold: a weighted-risk-contribution index for the alternative asset space

File Description SizeFormat 
MARBLE_2019_CRC.pdfAccepted version626.6 kBAdobe PDFView/Open
Title: Balancing cryptoassets and gold: a weighted-risk-contribution index for the alternative asset space
Authors: Koutsouri, A
Poli, F
Alfieri, E
Petch, M
Distaso, W
Knottenbelt, W
Item Type: Conference Paper
Abstract: Bitcoin is foremost amongst the emerging asset class knownas cryptoassets. Two noteworthy characteristics of the returns of non-stablecoin cryptoassets are their high volatility, which brings with it ahigh level of risk, and their high intraclass correlation, which limits thebenefits that can be had by diversifying across multiple cryptoassets. Yetcryptoassets exhibit no correlation with gold, a highly-liquid yet scarceasset which has proved to function as a safe haven during crises affectingtraditional financial systems. As exemplified by Shannon’s Demon, a lackof correlation between assets opens the door to principled risk controlthrough 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 therisk profile of the resulting portfolio while preserving its independencefrom mainstream financial asset classes such as stocks, bonds and fiatcurrencies. We generalise the theory of Equal Risk Contribution to allowfor weighting according to a desired level of contribution to volatility. Wefind a crypto–gold weighting based on Weighted Risk Contribution to behistorically more effective in terms of Sharpe Ratio than several alterna-tive asset allocation strategies including Shannon’s Demon. Within thecrypto-basket, whose constituents are selected and rebalanced monthly,we find an Equal Weighting scheme to be more effective in terms of thesame metric than a market capitalisation weighting.
Issue Date: 14-Feb-2020
Date of Acceptance: 22-Mar-2019
URI: http://hdl.handle.net/10044/1/69962
DOI: 10.1007/978-3-030-37110-4_15
ISBN: 9783030371098
ISSN: 0302-9743
Publisher: Springer Verlag
Start Page: 217
End Page: 232
Journal / Book Title: Lecture Notes in Computer Science
Copyright Statement: © Springer Nature Switzerland AG 2020. The final publication is available at Springer via https://doi.org/10.1007/978-3-030-37110-4_15.
Sponsor/Funder: CoinShares (Jersey) Limited
Funder's Grant Number: PO 4550183036
Conference Name: 1st International Conference on Mathematical Research for Blockchain Economy
Keywords: Artificial Intelligence & Image Processing
Publication Status: Published
Start Date: 2019-05-06
Finish Date: 2019-05-09
Conference Place: Santorini, Greece
Online Publication Date: 2020-02-14
Appears in Collections:Imperial College Business School
Computing
Grantham Institute for Climate Change
Faculty of Natural Sciences
Faculty of Engineering