IDEAS home Printed from https://ideas.repec.org/a/wly/jjmath/v2025y2025i1n8846855.html

Numerical Solution for the Dividend Value Function of a Dual Risk Model With Investment

Author

Listed:
  • Chunwei Wang
  • Shujing Wang

Abstract

This paper proposes a dual risk model with liquid reserve and proportional investments, this model is more suitable for real life. We derive the integral differential equations for the expected total discounted dividends before ruin. Since the exact solution of the equations does not exist, we obtain the approximate solution expression and further deduce the upper limit of the error caused by the approximate method for some special cases. In particular, we analyze the effect of the correlation volume on the expected total discounted dividend through two examples. Then, we also provide a special case to test the superiority of the sinc method, the results show that the sinc method is superior in solving approximate solutions. This study can help companies avoid potential liquidity risks, financial risks, and ensure the robust operation of the company.

Suggested Citation

Handle: RePEc:wly:jjmath:v:2025:y:2025:i:1:n:8846855
DOI: 10.1155/jom/8846855
as

Download full text from publisher

File URL: https://doi.org/10.1155/jom/8846855
Download Restriction: no

File URL: https://libkey.io/10.1155/jom/8846855?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jjmath:v:2025:y:2025:i:1:n:8846855. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/1469 .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.