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Constructing efficient multi-asset class portfolios: Top-down or bottom-up?

This dissertation concerns itself with the problem of constructing multi asset class portfolios. The investment process is aimed at solving two problems. The first problem is estimating the future returns of individual securities, which is an exercise fraught with uncertainty as the future is fundam...

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Main Author: Pule, Lebohang
Other Authors: Charteris, Ailie
Format: Thesis
Language:English
Published: Research of GSB 2018
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access_status_str Open Access
author Pule, Lebohang
author2 Charteris, Ailie
author_browse Charteris, Ailie
Pule, Lebohang
author_facet Charteris, Ailie
Pule, Lebohang
author_sort Pule, Lebohang
collection Thesis
description This dissertation concerns itself with the problem of constructing multi asset class portfolios. The investment process is aimed at solving two problems. The first problem is estimating the future returns of individual securities, which is an exercise fraught with uncertainty as the future is fundamentally unpredictable. This uncertainty means that the investor must allocate his portfolio to a number of assets instead of just one, in case his predicted future returns do not materialize. This leads the investor to the second problem of how best to construct the portfolio. It is this part of the investment process which is the subject of this dissertation which examines whether it is best to construct multi-asset class portfolios using a top-down or bottom-up approach. In the top-down approach one begins by creating independent single asset class portfolios which are then combined to create a multi-asset class portfolio. The bottom-up approach constructs the portfolio by considering all the securities available to the investor (irrespective of asset class) at the same time. The Mean-Variance and Black- Litterman models are reviewed in detail. Portfolios are then created using these portfolio construction methods in order to compare the two approaches. In constructing these portfolios, the commonly encountered problem of missing data in financial return series is also examined. The main result is that the top-down and bottom-up approaches create similar efficient frontiers, though the bottom-up approach results in an extended frontier which allows investors to obtain efficient portfolios with either a higher expected return or a lower volatility.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:33.643Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
publisher Research of GSB
publisherStr Research of GSB
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/27753 Constructing efficient multi-asset class portfolios: Top-down or bottom-up? Pule, Lebohang Charteris, Ailie De Kock, Johan Development Finance This dissertation concerns itself with the problem of constructing multi asset class portfolios. The investment process is aimed at solving two problems. The first problem is estimating the future returns of individual securities, which is an exercise fraught with uncertainty as the future is fundamentally unpredictable. This uncertainty means that the investor must allocate his portfolio to a number of assets instead of just one, in case his predicted future returns do not materialize. This leads the investor to the second problem of how best to construct the portfolio. It is this part of the investment process which is the subject of this dissertation which examines whether it is best to construct multi-asset class portfolios using a top-down or bottom-up approach. In the top-down approach one begins by creating independent single asset class portfolios which are then combined to create a multi-asset class portfolio. The bottom-up approach constructs the portfolio by considering all the securities available to the investor (irrespective of asset class) at the same time. The Mean-Variance and Black- Litterman models are reviewed in detail. Portfolios are then created using these portfolio construction methods in order to compare the two approaches. In constructing these portfolios, the commonly encountered problem of missing data in financial return series is also examined. The main result is that the top-down and bottom-up approaches create similar efficient frontiers, though the bottom-up approach results in an extended frontier which allows investors to obtain efficient portfolios with either a higher expected return or a lower volatility. 2018-04-05T09:10:57Z 2018-04-05T09:10:57Z 2017 Master Thesis Masters MCom http://hdl.handle.net/11427/27753 eng application/pdf Research of GSB Faculty of Commerce University of Cape Town
spellingShingle Development Finance
Pule, Lebohang
Constructing efficient multi-asset class portfolios: Top-down or bottom-up?
thesis_degree_str Master's
title Constructing efficient multi-asset class portfolios: Top-down or bottom-up?
title_full Constructing efficient multi-asset class portfolios: Top-down or bottom-up?
title_fullStr Constructing efficient multi-asset class portfolios: Top-down or bottom-up?
title_full_unstemmed Constructing efficient multi-asset class portfolios: Top-down or bottom-up?
title_short Constructing efficient multi-asset class portfolios: Top-down or bottom-up?
title_sort constructing efficient multi asset class portfolios top down or bottom up
topic Development Finance
url http://hdl.handle.net/11427/27753
work_keys_str_mv AT pulelebohang constructingefficientmultiassetclassportfoliostopdownorbottomup