Turnover of investment portfolio via covariance matrix of returns

Fuente: arXiv
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Main Authors: Kuliga, A. V., Shnurnikov, I. N.
Format: Preprint
Published: 2024
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author Kuliga, A. V.
Shnurnikov, I. N.
author_facet Kuliga, A. V.
Shnurnikov, I. N.
contents An investment portfolio consists of $n$ algorithmic trading strategies, which generate vectors of positions in trading assets. Sign opposite trades (buy/sell) cross each other as strategies are combined in a portfolio. Then portfolio turnover becomes a non linear function of strategies turnover. It rises a problem of effective (quick and precise) portfolio turnover estimation. Kakushadze and Liew (2014) shows how to estimate turnover via covariance matrix of returns. We build a mathematical model for such estimations; prove a theorem which gives a necessary condition for model applicability; suggest new turnover estimations; check numerically the preciseness of turnover estimations for algorithmic strategies on USA equity market.
format Preprint
id arxiv_https___arxiv_org_abs_2412_03305
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Turnover of investment portfolio via covariance matrix of returns
Kuliga, A. V.
Shnurnikov, I. N.
Portfolio Management
Probability
60B99
An investment portfolio consists of $n$ algorithmic trading strategies, which generate vectors of positions in trading assets. Sign opposite trades (buy/sell) cross each other as strategies are combined in a portfolio. Then portfolio turnover becomes a non linear function of strategies turnover. It rises a problem of effective (quick and precise) portfolio turnover estimation. Kakushadze and Liew (2014) shows how to estimate turnover via covariance matrix of returns. We build a mathematical model for such estimations; prove a theorem which gives a necessary condition for model applicability; suggest new turnover estimations; check numerically the preciseness of turnover estimations for algorithmic strategies on USA equity market.
title Turnover of investment portfolio via covariance matrix of returns
topic Portfolio Management
Probability
60B99
url https://arxiv.org/abs/2412.03305