Can Adaptive Seriational Risk Parity Tame Crypto Portfolios?

12 Pages Posted: 8 Jul 2021 Last revised: 15 Jul 2021

See all articles by Jochen Papenbrock

Jochen Papenbrock

NVIDIA GmbH

Peter Schwendner

Zurich University of Applied Sciences

Philipp G. Sandner

Frankfurt School of Finance & Management

Date Written: July 15, 2021

Abstract

As cryptocoins are not tied to fundamental values or to investor protection regulation, their price dynamics is unhinged in both directions. In institutional asset management of conventional asset classes, target volatility concepts and dynamic allocation heuristics are popular to improve the robustness of portfolios. Can similar techniques also be used to construct delevered and diversified portfolios of crypto assets? A robust candidate approach for allocation is Hierarchical Risk Parity (HRP), as it incorporates a filtered correlation structure and is less sensitive to noise than quadratic optimization, as shown in several studies. Recent publications have extended the concept of HRP in several directions. We compare some of these extensions to determine which variant is most useful for constructing crypto baskets. We find that a particular type of adaptive HRP strategy outperforms other extensions on a risk-adjusted basis, leading us to a deeper investigation of the changing nature of correlation structures between cryptos - both quantitatively and visually. We find that structural breaks in crypto correlations are prevalent and that the best-fitting hierarchical cluster representations change over time, which is only captured by distance matrix-based adaptive HRP approaches.

Keywords: Machine learning, Graph theory, Hierarchical tree clustering, Asset allocation, Cryptocurrencies

JEL Classification: G15, G41

Suggested Citation

Papenbrock, Jochen and Schwendner, Peter and Sandner, Philipp, Can Adaptive Seriational Risk Parity Tame Crypto Portfolios? (July 15, 2021). Available at SSRN: https://ssrn.com/abstract=3877143 or http://dx.doi.org/10.2139/ssrn.3877143

Jochen Papenbrock (Contact Author)

NVIDIA GmbH ( email )

Germany
+49-(0)1741435555 (Phone)

HOME PAGE: http://www.nvidia.com/en-us/industries/finance/

Peter Schwendner

Zurich University of Applied Sciences ( email )

School of Management and Law
Technoparkstrasse 2
Winterthur, CH 8401
Switzerland
8400 (Fax)

Philipp Sandner

Frankfurt School of Finance & Management ( email )

Adickesallee 32-34
Frankfurt am Main, 60322
Germany

HOME PAGE: http://www.philipp-sandner.de

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