Portfolio Optimization with Asset-Liability Ratio Regulation Constraints

Joint Authors

Shen, Peilong
Sheng, De-Lei

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-23

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Philosophy

Abstract EN

This paper considers both a top regulation bound and a bottom regulation bound imposed on the asset-liability ratio at the regulatory time T to reduce risks of abnormal high-speed growth of asset price within a short period of time (or high investment leverage), and to mitigate risks of low assets’ return (or a sharp fall).

Applying the stochastic optimal control technique, a Hamilton–Jacobi–Bellman (HJB) equation is derived.

Then, the effective investment strategy and the minimum variance are obtained explicitly by using the Lagrange duality method.

Moreover, some numerical examples are provided to verify the effectiveness of our results.

American Psychological Association (APA)

Sheng, De-Lei& Shen, Peilong. 2020. Portfolio Optimization with Asset-Liability Ratio Regulation Constraints. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139904

Modern Language Association (MLA)

Sheng, De-Lei& Shen, Peilong. Portfolio Optimization with Asset-Liability Ratio Regulation Constraints. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139904

American Medical Association (AMA)

Sheng, De-Lei& Shen, Peilong. Portfolio Optimization with Asset-Liability Ratio Regulation Constraints. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139904

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139904