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Penalizing variances for higher dependency on factors

Quantitative Finance, March 2017 Constructing equity portfolios to control for stock market volatility and unforeseen portfolio losses is critical for meeting investment objectives.Mean-variance analysis (Markowitz, 1952, 1959) was the earliest documented quantitative approach to portfolio selection where the mean and variance of portfolio retur...
Author(s)
Jang Ho Kim, Woo Chang Kim, Frank J. Fabozzi, PhD

Quantitative Finance, March 2017

Constructing equity portfolios to control for stock market volatility and unforeseen portfolio losses is critical for meeting investment objectives.Mean-variance analysis (Markowitz, 1952, 1959) was the earliest documented quantitative approach to portfolio selection where the mean and variance of portfolio returns are considered for constructed optimal portfolios. The mean-variance model sparked much research on portfolio optimization, especially models incorporating shortcomings of mean-variance analysis (Fabozzi et al. 2002, Kolm et al. 2014), and the mean-variance framework also has been applied to numerous area such as manufacturing and electricity markets (see, for example, Gosavi 2006, Roques et al. 2008, Chiu and Choi 2016).

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