Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency
This paper considers the optimal debt ratio, investment, and dividend payment policies for insurers with time-inconsistency. The surplus process of an insurance company is determined by the change of asset value and the change of liabilities. The asset can be invested in financial market which conta...
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Hindawi Limited
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/7928953 |
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doaj-4cd1d773d9e3468fbe34535512f3db502020-11-25T00:37:28ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/79289537928953Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-InconsistencyDan Zhu0Chuancun Yin1School of Statistics, Qufu Normal University, Shandong Province 273165, ChinaSchool of Statistics, Qufu Normal University, Shandong Province 273165, ChinaThis paper considers the optimal debt ratio, investment, and dividend payment policies for insurers with time-inconsistency. The surplus process of an insurance company is determined by the change of asset value and the change of liabilities. The asset can be invested in financial market which contains a risky asset and a risk-free asset, and when the insurer incurs a liability, he/she earns some premium. The objective is to maximize the expected nonconstant discounted utility of dividend payment until a determinate time. This is a time-inconsistent control problem. We obtain the modified HJB equation and the closed-form expressions for the optimal debt ratio, investment, and dividend payment policies under logarithmic utility.http://dx.doi.org/10.1155/2018/7928953 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dan Zhu Chuancun Yin |
spellingShingle |
Dan Zhu Chuancun Yin Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency Mathematical Problems in Engineering |
author_facet |
Dan Zhu Chuancun Yin |
author_sort |
Dan Zhu |
title |
Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency |
title_short |
Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency |
title_full |
Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency |
title_fullStr |
Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency |
title_full_unstemmed |
Stochastic Optimal Control of Investment and Dividend Payment Model under Debt Control with Time-Inconsistency |
title_sort |
stochastic optimal control of investment and dividend payment model under debt control with time-inconsistency |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
This paper considers the optimal debt ratio, investment, and dividend payment policies for insurers with time-inconsistency. The surplus process of an insurance company is determined by the change of asset value and the change of liabilities. The asset can be invested in financial market which contains a risky asset and a risk-free asset, and when the insurer incurs a liability, he/she earns some premium. The objective is to maximize the expected nonconstant discounted utility of dividend payment until a determinate time. This is a time-inconsistent control problem. We obtain the modified HJB equation and the closed-form expressions for the optimal debt ratio, investment, and dividend payment policies under logarithmic utility. |
url |
http://dx.doi.org/10.1155/2018/7928953 |
work_keys_str_mv |
AT danzhu stochasticoptimalcontrolofinvestmentanddividendpaymentmodelunderdebtcontrolwithtimeinconsistency AT chuancunyin stochasticoptimalcontrolofinvestmentanddividendpaymentmodelunderdebtcontrolwithtimeinconsistency |
_version_ |
1725301307919564800 |