Estimating Systematic Risk: Case For Borsa Istanbul

The structure of the data set has a great impact on the estimation results. Especially the methods, which are affected by outliers like Ordinary Least Squares OLS , will lead to biased results. For this reason robust estimation techniques are required. To investigate this structure, 237 stocks in B...

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Main Authors: Filiz Yeşilyurt, Hakan Aygören, M.ensar Yeşilyurt
Format: Article
Language:English
Published: Selcuk University Press 2014-02-01
Series:Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/1724769
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author Filiz Yeşilyurt
Hakan Aygören
M.ensar Yeşilyurt
author_facet Filiz Yeşilyurt
Hakan Aygören
M.ensar Yeşilyurt
author_sort Filiz Yeşilyurt
collection DOAJ
description The structure of the data set has a great impact on the estimation results. Especially the methods, which are affected by outliers like Ordinary Least Squares OLS , will lead to biased results. For this reason robust estimation techniques are required. To investigate this structure, 237 stocks in Borsa Istanbul BIST is estimated using OLS and Least Median Squares LMS method between the years of 2001-2004. Beta coefficients are computed based on OLS and LMS methods using market model. It was found that LMS produce robust results in the presence of multivariate outliers. Especially, in case of the volatile stocks, LMS is one of the appropriate techniques to get robust results
format Article
id doaj-art-f0d7eaaa0f15492e95c12480246f58e8
institution Kabale University
issn 2667-4750
language English
publishDate 2014-02-01
publisher Selcuk University Press
record_format Article
series Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
spelling doaj-art-f0d7eaaa0f15492e95c12480246f58e82025-01-03T01:13:41ZengSelcuk University PressSelçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi2667-47502014-02-0131185192154Estimating Systematic Risk: Case For Borsa IstanbulFiliz Yeşilyurt0Hakan Aygören1M.ensar Yeşilyurt2Pamukkale ÜniversitesiPamukkale ÜniversitesiPamukkale ÜniversitesiThe structure of the data set has a great impact on the estimation results. Especially the methods, which are affected by outliers like Ordinary Least Squares OLS , will lead to biased results. For this reason robust estimation techniques are required. To investigate this structure, 237 stocks in Borsa Istanbul BIST is estimated using OLS and Least Median Squares LMS method between the years of 2001-2004. Beta coefficients are computed based on OLS and LMS methods using market model. It was found that LMS produce robust results in the presence of multivariate outliers. Especially, in case of the volatile stocks, LMS is one of the appropriate techniques to get robust resultshttps://dergipark.org.tr/tr/download/article-file/1724769ekkemkdirençlibeta katsayısıpiyasa modeliolslmsrobustbeta coefficientcapm
spellingShingle Filiz Yeşilyurt
Hakan Aygören
M.ensar Yeşilyurt
Estimating Systematic Risk: Case For Borsa Istanbul
Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
ekk
emk
dirençli
beta katsayısı
piyasa modeli
ols
lms
robust
beta coefficient
capm
title Estimating Systematic Risk: Case For Borsa Istanbul
title_full Estimating Systematic Risk: Case For Borsa Istanbul
title_fullStr Estimating Systematic Risk: Case For Borsa Istanbul
title_full_unstemmed Estimating Systematic Risk: Case For Borsa Istanbul
title_short Estimating Systematic Risk: Case For Borsa Istanbul
title_sort estimating systematic risk case for borsa istanbul
topic ekk
emk
dirençli
beta katsayısı
piyasa modeli
ols
lms
robust
beta coefficient
capm
url https://dergipark.org.tr/tr/download/article-file/1724769
work_keys_str_mv AT filizyesilyurt estimatingsystematicriskcaseforborsaistanbul
AT hakanaygoren estimatingsystematicriskcaseforborsaistanbul
AT mensaryesilyurt estimatingsystematicriskcaseforborsaistanbul