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INTERNATIONAL PORTFOLIO CHOICES UNDER UNCERTAINTY: A MONTE CARLO SIMULATION PROCESS

Journal of Business and Finance

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Field Value
 
Title INTERNATIONAL PORTFOLIO CHOICES UNDER UNCERTAINTY: A MONTE CARLO SIMULATION PROCESS
 
Creator Mroua, Mourad
Abid, Fathi
Wong, Wing K.
 
Subject Optimal portfolios choices, Estimation Errors, Portfolio Resampling, Nonparametric stochastic dominance approach, Monte Carlo and bootstrap p-values simulations
 
Description This paper examines the impact of estimation errors on the financial portfolios optimization processes and investigates the controversy problem of the international and domestic optimal diversification strategies choice from an American investor’s point of view. We introduce the concept of portfolio resampling method and we use the nonparametric stochastic dominance approach based simulated p-values to define an optimal diversification choice. Estimation errors visualization shows that changes in input parameters imply large changes in portfolio composition and reveals considerably modification of MV efficient frontiers shape. The findings show that there exists substantial evidence of the international global diversification benefits. Risk-adverse American investor with an increasing utility function prefers the global international resampled diversification strategy. We find that domestic diversification beats only international major and emerging markets diversification. Dominance relationships between the entirely diversification strategies change according to the risk-aversion coefficient.
 
Publisher Journal of Business and Finance
 
Contributor
 
Date 2014-06-17
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://www.escijournals.net/index.php/JBF/article/view/473
 
Source Journal of Business and Finance; Vol 2, No 1 (2014): J. Bus. Financ.; 01-20
2305-1825
2308-7714
 
Language eng
 
Relation http://www.escijournals.net/index.php/JBF/article/view/473/402
 
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