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Portofolio selection in finance using classic or traditional methodology has produced a portofolio with unstable characteristic such that it is not meet with the investor's expectation. This phenomenon is due to the fact that the financial datas are not distribute normally and the estimated par...

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Main Author: AYUNINGTYAS (NIM 10104055), ASTRID
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/10048
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:10048
spelling id-itb.:100482017-09-27T11:43:06Z#TITLE_ALTERNATIVE# AYUNINGTYAS (NIM 10104055), ASTRID Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/10048 Portofolio selection in finance using classic or traditional methodology has produced a portofolio with unstable characteristic such that it is not meet with the investor's expectation. This phenomenon is due to the fact that the financial datas are not distribute normally and the estimated parameters used to select the portofolio disturbed by the data's outliers.<p>In this thesis, the portofolio were selected using the certain method that capable to detect the outliers on the financial data. This method is known as Minimum Covariance Determinant (MCD) which produce a robust estimator enable to estimate mean and covariance parameters by minimizing its covariant determinant. After both parameters became robust then the optimal proportion of the portofolio could be found using the Mean-Variance model of Markowitz. <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Portofolio selection in finance using classic or traditional methodology has produced a portofolio with unstable characteristic such that it is not meet with the investor's expectation. This phenomenon is due to the fact that the financial datas are not distribute normally and the estimated parameters used to select the portofolio disturbed by the data's outliers.<p>In this thesis, the portofolio were selected using the certain method that capable to detect the outliers on the financial data. This method is known as Minimum Covariance Determinant (MCD) which produce a robust estimator enable to estimate mean and covariance parameters by minimizing its covariant determinant. After both parameters became robust then the optimal proportion of the portofolio could be found using the Mean-Variance model of Markowitz. <br />
format Final Project
author AYUNINGTYAS (NIM 10104055), ASTRID
spellingShingle AYUNINGTYAS (NIM 10104055), ASTRID
#TITLE_ALTERNATIVE#
author_facet AYUNINGTYAS (NIM 10104055), ASTRID
author_sort AYUNINGTYAS (NIM 10104055), ASTRID
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/10048
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