PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS
In every investment, investors desire the highest possible return and the lowest possible risk. If the investment is in the form of a portfolio consisting of a collection of assets, then the role of matrix analysis is needed to model the problem into a matrix or vector. For risky assets (uncertai...
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id-itb.:653882022-06-22T14:17:25ZPORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS Zaidan Pradana, Faisal Indonesia Final Project return of portfolio, multivariate normal, Markowitz optimization, European option. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/65388 In every investment, investors desire the highest possible return and the lowest possible risk. If the investment is in the form of a portfolio consisting of a collection of assets, then the role of matrix analysis is needed to model the problem into a matrix or vector. For risky assets (uncertain yield), it is assumed that the return (log) in a period is normally distributed. The data used to estimate distribution parameters can be in the form of real historical data from an asset or simulation of random number generation from computer programming. The parameters to be estimated, namely the mean and variance, are estimated using the moment and maximum likelihood methods. In this final project, Markowitz optimization is studied which utilizes the concept of matrix analysis to determine the optimal asset allocation. Derivative financial instruments such as European options are added to the portfolio so as to reduce investment risk. text |
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In every investment, investors desire the highest possible return and the lowest
possible risk. If the investment is in the form of a portfolio consisting of a collection
of assets, then the role of matrix analysis is needed to model the problem into a
matrix or vector. For risky assets (uncertain yield), it is assumed that the return (log)
in a period is normally distributed. The data used to estimate distribution parameters
can be in the form of real historical data from an asset or simulation of random
number generation from computer programming. The parameters to be estimated,
namely the mean and variance, are estimated using the moment and maximum
likelihood methods. In this final project, Markowitz optimization is studied which
utilizes the concept of matrix analysis to determine the optimal asset allocation.
Derivative financial instruments such as European options are added to the portfolio
so as to reduce investment risk. |
format |
Final Project |
author |
Zaidan Pradana, Faisal |
spellingShingle |
Zaidan Pradana, Faisal PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS |
author_facet |
Zaidan Pradana, Faisal |
author_sort |
Zaidan Pradana, Faisal |
title |
PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS |
title_short |
PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS |
title_full |
PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS |
title_fullStr |
PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS |
title_full_unstemmed |
PORTFOLIO OPTIMIZATION WITH EUROPE OPTION USING MATRIX ANALYSIS |
title_sort |
portfolio optimization with europe option using matrix analysis |
url |
https://digilib.itb.ac.id/gdl/view/65388 |
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1822004839626833920 |