Mean-variance-skewness model for portfolio selection


Altayligil Y. B.

ISTANBUL UNIVERSITY JOURNAL OF THE SCHOOL OF BUSINESS, cilt.37, sa.2, ss.65-78, 2008 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 2
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.cor.2006.02.012
  • Dergi Adı: ISTANBUL UNIVERSITY JOURNAL OF THE SCHOOL OF BUSINESS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
  • Sayfa Sayıları: ss.65-78
  • Anahtar Kelimeler: Markowitz Portfolio Theory, Mean-Variance, Skewness, Entropy, Portfolio Selection
  • İstanbul Üniversitesi Adresli: Evet

Özet

In this paper, mean-variance-skewness (MVS) model is proposed first for optimal portfolio selection from financial assets, and then mean-variance-skewness-entopy (MVSE) model by adding entropy measure is proposed in order to obtain well diversified portfolio. In MVS and MVSE, Pearson skewness measure which is robust and easy to calculate than traditional skewness measures is used. Both models are used in IMKB-30 for portfolio selection and the results are compared with Markowitz mean-variance (MV) model. It is showed that more efficient portfolios can be selected by MVS model than MV model.