Optimal trend following portfolios

Fuente: arXiv
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Main Author: Valeyre, Sebastien
Format: Preprint
Published: 2022
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author Valeyre, Sebastien
author_facet Valeyre, Sebastien
contents This paper derives an optimal portfolio that is based on trend-following signal. Building on an earlier related article, it provides a unifying theoretical setting to introduce an autocorrelation model with the covariance matrix of trends and risk premia. We specify practically relevant models for the covariance matrix of trends. The optimal portfolio is decomposed into four basic components that yield four basic portfolios: Markowitz, risk parity, agnostic risk parity, and trend following on risk parity. The overperformance of the proposed optimal portfolio, applied to cross-asset trading universe, is confirmed by empirical backtests. We provide thus a unifying framework to describe and rationalize earlier developed portfolios.
format Preprint
id arxiv_https___arxiv_org_abs_2201_06635
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Optimal trend following portfolios
Valeyre, Sebastien
Portfolio Management
This paper derives an optimal portfolio that is based on trend-following signal. Building on an earlier related article, it provides a unifying theoretical setting to introduce an autocorrelation model with the covariance matrix of trends and risk premia. We specify practically relevant models for the covariance matrix of trends. The optimal portfolio is decomposed into four basic components that yield four basic portfolios: Markowitz, risk parity, agnostic risk parity, and trend following on risk parity. The overperformance of the proposed optimal portfolio, applied to cross-asset trading universe, is confirmed by empirical backtests. We provide thus a unifying framework to describe and rationalize earlier developed portfolios.
title Optimal trend following portfolios
topic Portfolio Management
url https://arxiv.org/abs/2201.06635