OPTIMAL DIVIDEND POLICY AND STOCK PRICES

Author:

LI WEIPING12ORCID

Affiliation:

1. Nanjing Audit University, Pukou District, Nanjing, Jiangsu Province 211815, P. R. China

2. Department of Finance, Spears School of Business, Oklahoma State University, Stillwater, OK 74078, USA

Abstract

We model a corporation dividend as an exchange option on stochastic cash flow and capital budge. Then we solve optimal dividend policy problem completely based on the dividend model under the assumption that the cash reservoir of a corporation follows a mean reverting process from empirical evidence and economic arguments. Our optimal dividend controls depend on explicitly with the cash flow and the capital budget of the corporation, and maximizes the HARA utility performance. We specify the unique optimal dividend control for the cash flow and the capital budge. Multiplicity or absence of optimal dividend policies are given. The stock price of the corporation is studied in terms of our stochastic dividend model. We find an explicit relation among the volatility of the stock price, the volatility of the cash flow and the volatility of the capital budget. The ex-dividend stock price is positively proportional to the stochastic cash flow and the probability of the dividend delta with respect to the cash flow, and negatively proportional to the capital budget and the probability of the dividend delta with respect to the capital budget. Hence, our approach provides another passage through which countercyclical volatility of the stock price can arise from the countercyclical cash flow and capital budget directly.

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Publisher

World Scientific Pub Co Pte Lt

Subject

General Economics, Econometrics and Finance,Finance

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dividend policy effect on common stock price volatility: An empirical evidence from Indian companies;International Journal of Financial Engineering;2023-09-23

2. Estimating actual probability of default from structural models;International Journal of Financial Engineering;2022-02-17

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