Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market

Author

Wu, Huiling

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-07-27

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Mathematics

Abstract EN

This paper studies an investment-consumption problem under inflation.

The consumption price level, the prices of the available assets, and the coefficient of the power utility are assumed to be sensitive to the states of underlying economy modulated by a continuous-time Markovian chain.

The definition of admissible strategies and the verification theory corresponding to this stochastic control problem are presented.

The analytical expression of the optimal investment strategy is derived.

The existence, boundedness, and feasibility of the optimal consumption are proven.

Finally, we analyze in detail by mathematical and numerical analysis how the risk aversion, the correlation coefficient between the inflation and the stock price, the inflation parameters, and the coefficient of utility affect the optimal investment and consumption strategy.

American Psychological Association (APA)

Wu, Huiling. 2016. Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market. Discrete Dynamics in Nature and Society،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1103639

Modern Language Association (MLA)

Wu, Huiling. Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market. Discrete Dynamics in Nature and Society No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1103639

American Medical Association (AMA)

Wu, Huiling. Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market. Discrete Dynamics in Nature and Society. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1103639

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1103639