Optimal Portfolios with End-of-Period Target

Joint Authors

Ogata, Hiroaki
Shiraishi, Hiroshi
Veredas, David
Amano, Tomoyuki
Patilea, Valentin
Taniguchi, Masanobu

Source

Advances in Decision Sciences

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-01-26

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Economics & Business Administration
Business Administration

Abstract EN

We study the estimation of optimal portfolios for a Reserve Fund with an end-of-period target and when the returns of the assets that constitute the Reserve Fund portfolio follow two specifications.

In the first one, assets are split into short memory (bonds) and long memory (equity), and the optimality of the portfolio is based on maximizing the Sharpe ratio.

In the second, returns follow a conditional heteroskedasticity autoregressive nonlinear model, and we study when the distribution of the innovation vector is heavy-tailed stable.

For this specification, we consider appropriate estimation methods, which include bootstrap and empirical likelihood.

American Psychological Association (APA)

Shiraishi, Hiroshi& Ogata, Hiroaki& Amano, Tomoyuki& Patilea, Valentin& Veredas, David& Taniguchi, Masanobu. 2012. Optimal Portfolios with End-of-Period Target. Advances in Decision Sciences،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-491818

Modern Language Association (MLA)

Shiraishi, Hiroshi…[et al.]. Optimal Portfolios with End-of-Period Target. Advances in Decision Sciences No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-491818

American Medical Association (AMA)

Shiraishi, Hiroshi& Ogata, Hiroaki& Amano, Tomoyuki& Patilea, Valentin& Veredas, David& Taniguchi, Masanobu. Optimal Portfolios with End-of-Period Target. Advances in Decision Sciences. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-491818

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-491818