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Improved Portfolio Choice Using Second Order Stochastic Dominance

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Improved Portfolio Choice Using Second Order Stochastic Dominance. / Jackwerth, Jens Carsten ; Hodder , James E. ; Kolokolova, Olga.
In: Review of Finance, Vol. 19, No. 4, 31.07.2015, p. 1623-1647.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Jackwerth, JC, Hodder , JE & Kolokolova, O 2015, 'Improved Portfolio Choice Using Second Order Stochastic Dominance', Review of Finance, vol. 19, no. 4, pp. 1623-1647. https://doi.org/10.1093/rof/rfu025

APA

Jackwerth, J. C., Hodder , J. E., & Kolokolova, O. (2015). Improved Portfolio Choice Using Second Order Stochastic Dominance. Review of Finance, 19(4), 1623-1647. https://doi.org/10.1093/rof/rfu025

Vancouver

Jackwerth JC, Hodder JE, Kolokolova O. Improved Portfolio Choice Using Second Order Stochastic Dominance. Review of Finance. 2015 Jul 31;19(4):1623-1647. doi: 10.1093/rof/rfu025

Author

Jackwerth, Jens Carsten ; Hodder , James E. ; Kolokolova, Olga. / Improved Portfolio Choice Using Second Order Stochastic Dominance. In: Review of Finance. 2015 ; Vol. 19, No. 4. pp. 1623-1647.

Bibtex

@article{28eb49e65ddb4d4f8fcbc191ea70c95a,
title = "Improved Portfolio Choice Using Second Order Stochastic Dominance",
abstract = "Constructing portfolios based on second-order stochastic dominance (SSD) is theoretically attractive since all risk-averse investors would prefer a dominating portfolio. However, choosing among SSD efficient portfolios is a challenge without an obvious ranking metric. We explore particular choices based on Kuosmanen (2004) plus Kopa and Post (2011), comparing their performance to other SSD-related strategies and to standard portfolio choice approaches. These SSD-related choices outperform portfolios chosen based on their Sharpe ratio, information ratio, or using equal weights. Portfolios based on minimum variance that also match the benchmark{\textquoteright}s mean return perform on a par with the SSD-related choices.",
author = "Jackwerth, {Jens Carsten} and Hodder, {James E.} and Olga Kolokolova",
year = "2015",
month = jul,
day = "31",
doi = "10.1093/rof/rfu025",
language = "English",
volume = "19",
pages = "1623--1647",
journal = "Review of Finance",
issn = "1572-3097",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Improved Portfolio Choice Using Second Order Stochastic Dominance

AU - Jackwerth, Jens Carsten

AU - Hodder , James E.

AU - Kolokolova, Olga

PY - 2015/7/31

Y1 - 2015/7/31

N2 - Constructing portfolios based on second-order stochastic dominance (SSD) is theoretically attractive since all risk-averse investors would prefer a dominating portfolio. However, choosing among SSD efficient portfolios is a challenge without an obvious ranking metric. We explore particular choices based on Kuosmanen (2004) plus Kopa and Post (2011), comparing their performance to other SSD-related strategies and to standard portfolio choice approaches. These SSD-related choices outperform portfolios chosen based on their Sharpe ratio, information ratio, or using equal weights. Portfolios based on minimum variance that also match the benchmark’s mean return perform on a par with the SSD-related choices.

AB - Constructing portfolios based on second-order stochastic dominance (SSD) is theoretically attractive since all risk-averse investors would prefer a dominating portfolio. However, choosing among SSD efficient portfolios is a challenge without an obvious ranking metric. We explore particular choices based on Kuosmanen (2004) plus Kopa and Post (2011), comparing their performance to other SSD-related strategies and to standard portfolio choice approaches. These SSD-related choices outperform portfolios chosen based on their Sharpe ratio, information ratio, or using equal weights. Portfolios based on minimum variance that also match the benchmark’s mean return perform on a par with the SSD-related choices.

U2 - 10.1093/rof/rfu025

DO - 10.1093/rof/rfu025

M3 - Journal article

VL - 19

SP - 1623

EP - 1647

JO - Review of Finance

JF - Review of Finance

SN - 1572-3097

IS - 4

ER -