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Applying Monte Carlo Concept and Linear Programming in Modern Portfolio Theory to Obtain Best Weighting Structure

Indonesian Capital Market Review

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Title Applying Monte Carlo Concept and Linear Programming in Modern Portfolio Theory to Obtain Best Weighting Structure
 
Creator Tumpal Sihombing; Bond Research Institute
 
Description The world is entering the era of recession when the trend is bearish and market is not so favorable. The capital markets in every major country were experiencing great amount of loss and people suffered in their investment. The Jakarta Composite Index (JCI) has shown a great downturn for the past one year but the trend bearish year of the JCI. Therefore, rational investors should consider restructuring their portfolio to set bigger proportion in bonds and cash instead of stocks. Investors can apply modern portfolio theory by Harry Markowitz to find the optimum asset allocation for their portfolio. Higher return is always associated with higher risk. This study shows investors how to find out the lowest risk of a portfolio investment by providing them with several structures of portfolio weighting. By this way, investor can compare and make the decision based on risk-return consideration and opportunity cost as well. Keywords: Modern portfolio theory, Monte Carlo, linear programming
 
Publisher Management Research Center, Department of Management, Faculty of Economics and Business, U
 
Contributor
 
Date 2013-01-01
 
Type Peer-reviewed Article
 
Format application/mbox
 
Identifier http://journal.ui.ac.id/index.php/icmr/article/view/1582
 
Source Indonesian Capital Market Review; Vol 5, No 1 (2013): January 2013
 
Language en