{"title":"Network Risk Parity: graph theory-based portfolio construction","authors":"Vito Ciciretti, Alberto Pallotta","doi":"10.1057/s41260-023-00347-8","DOIUrl":null,"url":null,"abstract":"<p>This study presents network risk parity, a graph theory-based portfolio construction methodology that arises from a thoughtful critique of the clustering-based approach used by hierarchical risk parity. Advantages of network risk parity include: the ability to capture one-to-many relationships between securities, overcoming the one-to-one limitation; the capacity to leverage the mathematics of graph theory, which enables us, among other things, to demonstrate that the resulting portfolios is less concentrated than those obtained with mean-variance; and the ability to simplify the model specification by eliminating the dependency on the selection of a distance and linkage function. Performance-wise, due to a better representation of systematic risk within the minimum spanning tree, network risk parity outperforms hierarchical risk parity and other competing methods, especially as the number of portfolio constituents increases.</p>","PeriodicalId":45953,"journal":{"name":"Journal of Asset Management","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Asset Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41260-023-00347-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents network risk parity, a graph theory-based portfolio construction methodology that arises from a thoughtful critique of the clustering-based approach used by hierarchical risk parity. Advantages of network risk parity include: the ability to capture one-to-many relationships between securities, overcoming the one-to-one limitation; the capacity to leverage the mathematics of graph theory, which enables us, among other things, to demonstrate that the resulting portfolios is less concentrated than those obtained with mean-variance; and the ability to simplify the model specification by eliminating the dependency on the selection of a distance and linkage function. Performance-wise, due to a better representation of systematic risk within the minimum spanning tree, network risk parity outperforms hierarchical risk parity and other competing methods, especially as the number of portfolio constituents increases.
期刊介绍:
The Journal of Asset Management covers:new investment strategies, methodologies and techniquesnew products and trading developmentsimportant regulatory and legal developmentsemerging trends in asset managementUnder the guidance of its expert Editors and an eminent international Editorial Board, Journal of Asset Management has developed to provide an international forum for latest thinking, techniques and developments for the Fund Management Industry, from high-growth investment strategies to modelling and managing risk, from active management to index tracking. The Journal has established itself as a key bridge between applied academic research, commercial best practice and regulatory interests, globally.Each issue of Journal of Asset Management publishes detailed, authoritative briefings, analysis, research and reviews by leading experts in the field, to keep subscribers up to date with the latest developments and thinking in asset management.Journal of Asset Management covers:asset allocation hedge fund strategies risk definition and management index tracking performance measurement stock selection investment methodologies and techniques portfolio management and weighting product development and innovation active asset management style analysis strategies to match client profiles time horizons emerging markets alternative investments derivatives and hedging instruments pensions economics