Application of Performance Ratios in Portfolio Optimization
The cornerstone of modern portfolio theory was established by pioneer work of Harry Markowitz. Based on his mean-variance framework, Sharpe formulated his well-known Sharpe ratio aiming to measure the performance of mutual funds. The contemporary development in computer’s computational power allowed...
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Mendel University Press
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Online Access: | https://acta.mendelu.cz/63/6/1969/ |
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doaj-012633745d9844bea0e7ca10397ec5182020-11-25T00:11:58ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102015-01-016361969197710.11118/actaun201563061969Application of Performance Ratios in Portfolio OptimizationAleš Kresta0Department of Finance, Faculty of Economics, VŠB – Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech RepublicThe cornerstone of modern portfolio theory was established by pioneer work of Harry Markowitz. Based on his mean-variance framework, Sharpe formulated his well-known Sharpe ratio aiming to measure the performance of mutual funds. The contemporary development in computer’s computational power allowed to apply more complex performance ratios, which take into account also higher moments of return probability distribution. Although these ratios were proposed to help the investors to improve the results of portfolio optimization, we empirically demonstrated in our paper that this may not necessarily be true. On the historical dataset of DJIA components we empirically showed that both Sharpe ratio and MAD ratio outperformed Rachev ratio. However, for Rachev ratio we assumed only one level of parameters value. Different set-ups of parameters may provide different results and thus further analysis is certainly required.https://acta.mendelu.cz/63/6/1969/portfolio optimizationSharpe ratiomean absolute deviation ratioRachev ratioefficient market hypothesistime series modelling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aleš Kresta |
spellingShingle |
Aleš Kresta Application of Performance Ratios in Portfolio Optimization Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis portfolio optimization Sharpe ratio mean absolute deviation ratio Rachev ratio efficient market hypothesis time series modelling |
author_facet |
Aleš Kresta |
author_sort |
Aleš Kresta |
title |
Application of Performance Ratios in Portfolio Optimization |
title_short |
Application of Performance Ratios in Portfolio Optimization |
title_full |
Application of Performance Ratios in Portfolio Optimization |
title_fullStr |
Application of Performance Ratios in Portfolio Optimization |
title_full_unstemmed |
Application of Performance Ratios in Portfolio Optimization |
title_sort |
application of performance ratios in portfolio optimization |
publisher |
Mendel University Press |
series |
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
issn |
1211-8516 2464-8310 |
publishDate |
2015-01-01 |
description |
The cornerstone of modern portfolio theory was established by pioneer work of Harry Markowitz. Based on his mean-variance framework, Sharpe formulated his well-known Sharpe ratio aiming to measure the performance of mutual funds. The contemporary development in computer’s computational power allowed to apply more complex performance ratios, which take into account also higher moments of return probability distribution. Although these ratios were proposed to help the investors to improve the results of portfolio optimization, we empirically demonstrated in our paper that this may not necessarily be true. On the historical dataset of DJIA components we empirically showed that both Sharpe ratio and MAD ratio outperformed Rachev ratio. However, for Rachev ratio we assumed only one level of parameters value. Different set-ups of parameters may provide different results and thus further analysis is certainly required. |
topic |
portfolio optimization Sharpe ratio mean absolute deviation ratio Rachev ratio efficient market hypothesis time series modelling |
url |
https://acta.mendelu.cz/63/6/1969/ |
work_keys_str_mv |
AT aleskresta applicationofperformanceratiosinportfoliooptimization |
_version_ |
1725402087376814080 |