Classical decomposition of Markowitz portfolio selection / by Christopher Demone, Olivia Di Matteo and Barbara Collignon.: FB3-5/2020-21E-PDF

"In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs. We show that the "superimposition" of all graphs in a set allows for the (re)construction of the efficient frontiers. We also identify a relationship between the Sharpe ratio (SR) of a given portfolio and the topology of the corresponding network of assets. More specifically, we suggest SR = f(topology) ≈ f(ECC/BC), where ECC is the eccentricity and BC is the betweenness centrality averaged over all nodes in the network. At each threshold, the structural analysis of the correlated networks provides unique insights into the relationships between assets, agencies, risks, returns and cash flows. We observe that the best threshold or best graph representation corresponds to the portfolio with the highest Sharpe ratio. We also show that simulated annealing performs better than a gradient-based solver"--Abstract, page [1].

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.888252&sl=0

Publication information
Department/Agency Bank of Canada, issuing body.
Title Classical decomposition of Markowitz portfolio selection / by Christopher Demone, Olivia Di Matteo and Barbara Collignon.
Series title Staff working paper = Document de travail du personnel, 1701-9397 ; 2020-21
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Cover title.
"Last updated: June 4, 2020."
Includes bibliographical references.
Includes abstract in French.
Publishing information Ottawa, Ontario, Canada : Bank of Canada = Banque du Canada, 2020.
©2020
Author / Contributor Demone, Christopher, author.
Description 1 online resource (31 pages) : graphs (mostly colour).
Catalogue number
  • FB3-5/2020-21E-PDF
Subject terms Investment analysis -- Canada.
Gestion de portefeuille -- Canada.
Analyse financière -- Canada.
Portfolio management -- Canada.
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