2011
DOI: 10.3905/joi.2011.2011.1.010
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Risk Parity and Diversification

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Cited by 17 publications
(24 citation statements)
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“…Therefore, the diversification is achieved by a weight vector, which is characterized by a distribution of less concentrated portfolio. The ERC portfolio was introduced in the literature by Qian (2005Qian ( , 2006Qian ( , 2011 and their properties were analyzed by Maillard et al (2010). Maillard et al (2010) showed that when it comes to the standard deviation of the portfolio, the ERC solution takes an intermediate position between a minimum-variance portfolio and equally weighted portfolio.…”
Section: Equal Risk Contributed Portfoliomentioning
confidence: 99%
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“…Therefore, the diversification is achieved by a weight vector, which is characterized by a distribution of less concentrated portfolio. The ERC portfolio was introduced in the literature by Qian (2005Qian ( , 2006Qian ( , 2011 and their properties were analyzed by Maillard et al (2010). Maillard et al (2010) showed that when it comes to the standard deviation of the portfolio, the ERC solution takes an intermediate position between a minimum-variance portfolio and equally weighted portfolio.…”
Section: Equal Risk Contributed Portfoliomentioning
confidence: 99%
“…For this purpose, we considered a number of optimization models: a) the classical mean-variance approach (Markowitz, 1952(Markowitz, , 1959 and the minimum variance approach (Jagannathan and Ma, 2003); b) robust optimization techniques, as the most diversified portfolio, (see Choueifaty and Coignard, 2008;and Choueifaty et al, 2013) and the equally-weighted risk contributions portfolios (see Qian, 2005Qian, , 2006Qian, , 2011; c) portfolio optimization based on Conditional Value at Risk, "CVaR" Uryasev, 2000, 2002;Alexander and Baptista, 2004;Quaranta and Zaffaroni, 2008); d) functional approach based on risk measures such as the "Maximum draw-down" (MaxDD), the "Average draw-down" (AvDD), and the "Conditional draw-down at risk" (CDAR), all proposed by Chekhlov et al (2000Chekhlov et al ( , 2005. As well as the Conditional draw-down at risk "MinCDaR" (see Cheklov et al, 2005;and Kuutan, 2007); e) Young (1998)'s minimax optimization model, based on minimizing risk and optimizing the risk/return ratio; f) application of Copula theory to build the minimum tail-dependent portfolio, where the variance-covariance matrix is replaced by lower tail dependence coefficient (see Frahma et al, 2005;Fischer andDörflinger, 2006, andStadtmüller, 2006); g) a defensive approach to systemic risk by beta strategy ("Low Beta").…”
Section: Compared the Cvar And Conditionalmentioning
confidence: 99%
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“…Namely, this portfolio model does not have to predict future return rates. This concept is based on the risk parity portfolio model [5,6], which also does not predict return rates but equalizes the risk contributions of each asset because these risk contributions obtained by the mean-variance portfolio model [1] are often biased to a few assets. In this case, even if the Sharpe ratio [7] is sufficiently large, this portfolio is actually dangerous.…”
Section: Introductionmentioning
confidence: 99%
“…As Qian (2011), from a Markowitz Mean-Variance Portfolio Theory, the risk parity portfolio will be the optimal portfolio if the underlying components have equal Sharpe ratios and their returns are not correlated.…”
Section: Anexos De Cuadrosmentioning
confidence: 99%