Portfolio performance : the case of serial autocorrelation
TESIS PARA OPTAR AL GRADO DE MAGISTER EN FINANZAS === The use of the Sharpe ratio for the measurement of the performance of the financial assets is widely generalized, although there is empirical evidence of serious problems with the assumptions behind the distribution functions. This paper explor...
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ndltd-UCHILE-oai-repositorio.uchile.cl-2250-1476822018-06-29T17:08:52Z Portfolio performance : the case of serial autocorrelation Rubilar Torrealba, Rolando Luis Rodríguez Perales, Arturo Modelos de valoración de activos de capital Finanzas - Chile Relación de Sharpe Finanzas TESIS PARA OPTAR AL GRADO DE MAGISTER EN FINANZAS The use of the Sharpe ratio for the measurement of the performance of the financial assets is widely generalized, although there is empirical evidence of serious problems with the assumptions behind the distribution functions. This paper explores the conditions under which the Sharpe ratio is efficient to analyze the performance of financial asset portfolios, a situation that is not true in the presence of strong autocorrelation. We demonstrate the effect that autocorrelation has in determining the best means of performance measurement, defining a robustness function of the variance of the Spearman coefficient degradation, allowing to define monitoring and control criteria in the task of tracking the evolution of financial assets and makes an adequate selection of a combination of risk and return, expanding the spectrum of analysis for the performancemeasurement of the financial series, placing an alarmfor the evaluation of the performance of the financial assets. 2018-05-12T13:31:08Z 2018-05-12T13:31:08Z 2018-01 Tesis http://repositorio.uchile.cl/handle/2250/147682 en Attribution-NonCommercial-NoDerivs 3.0 Chile http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ Universidad de Chile |
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language |
en |
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topic |
Modelos de valoración de activos de capital Finanzas - Chile Relación de Sharpe Finanzas |
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Modelos de valoración de activos de capital Finanzas - Chile Relación de Sharpe Finanzas Rubilar Torrealba, Rolando Luis Portfolio performance : the case of serial autocorrelation |
description |
TESIS PARA OPTAR AL GRADO DE MAGISTER EN FINANZAS === The use of the Sharpe ratio for the measurement of the performance of the financial assets is
widely generalized, although there is empirical evidence of serious problems with the assumptions
behind the distribution functions. This paper explores the conditions under which the
Sharpe ratio is efficient to analyze the performance of financial asset portfolios, a situation that
is not true in the presence of strong autocorrelation. We demonstrate the effect that autocorrelation
has in determining the best means of performance measurement, defining a robustness
function of the variance of the Spearman coefficient degradation, allowing to define monitoring
and control criteria in the task of tracking the evolution of financial assets and makes an
adequate selection of a combination of risk and return, expanding the spectrum of analysis for
the performancemeasurement of the financial series, placing an alarmfor the evaluation of the
performance of the financial assets. |
author2 |
Rodríguez Perales, Arturo |
author_facet |
Rodríguez Perales, Arturo Rubilar Torrealba, Rolando Luis |
author |
Rubilar Torrealba, Rolando Luis |
author_sort |
Rubilar Torrealba, Rolando Luis |
title |
Portfolio performance : the case of serial autocorrelation |
title_short |
Portfolio performance : the case of serial autocorrelation |
title_full |
Portfolio performance : the case of serial autocorrelation |
title_fullStr |
Portfolio performance : the case of serial autocorrelation |
title_full_unstemmed |
Portfolio performance : the case of serial autocorrelation |
title_sort |
portfolio performance : the case of serial autocorrelation |
publisher |
Universidad de Chile |
publishDate |
2018 |
url |
http://repositorio.uchile.cl/handle/2250/147682 |
work_keys_str_mv |
AT rubilartorrealbarolandoluis portfolioperformancethecaseofserialautocorrelation |
_version_ |
1718708449767849984 |