SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM

Portfolio optimization is an activity to balance between return and risk. In this thesis we concern with mean variance as risk measure for portfolio optimization. For single objective portfolio optimization problem, minimizing risk of portfolio will be used several constraints such as buy in thresho...

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Main Author: Ndapa Deda, Yohanis
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/33759
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:33759
spelling id-itb.:337592019-01-29T10:58:02ZSINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM Ndapa Deda, Yohanis Matematika Indonesia Theses Portfolio optimizations, mean variance, single objective, biobjective, buy in threshold, cardinality constraint, roundlot, differential evolution algorithm. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/33759 Portfolio optimization is an activity to balance between return and risk. In this thesis we concern with mean variance as risk measure for portfolio optimization. For single objective portfolio optimization problem, minimizing risk of portfolio will be used several constraints such as buy in threshold, cardinality, and roundlot. Especially for single objective will be compared between cardinality constraint and roundlot constraint in order to see which one is better. The other is biobjective portfolio optimization problem will also use mean variance model as risk measure. All these portfolio optimization problems will be solved by differential evolution algorithm. 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
topic Matematika
spellingShingle Matematika
Ndapa Deda, Yohanis
SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM
description Portfolio optimization is an activity to balance between return and risk. In this thesis we concern with mean variance as risk measure for portfolio optimization. For single objective portfolio optimization problem, minimizing risk of portfolio will be used several constraints such as buy in threshold, cardinality, and roundlot. Especially for single objective will be compared between cardinality constraint and roundlot constraint in order to see which one is better. The other is biobjective portfolio optimization problem will also use mean variance model as risk measure. All these portfolio optimization problems will be solved by differential evolution algorithm.
format Theses
author Ndapa Deda, Yohanis
author_facet Ndapa Deda, Yohanis
author_sort Ndapa Deda, Yohanis
title SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM
title_short SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM
title_full SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM
title_fullStr SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM
title_full_unstemmed SINGLE OBJECTIVE AND BIOBJECTIVE PORTFOLIO OPTIMIZATION WITH MEAN VARIANCE AS RISK MEASURE USING DIFFERENTIAL EVOLUTION ALGORITHM
title_sort single objective and biobjective portfolio optimization with mean variance as risk measure using differential evolution algorithm
url https://digilib.itb.ac.id/gdl/view/33759
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