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research article

Linear Stochastic Dividend Model

Willems, Sander  
November 1, 2020
International Journal Of Theoretical And Applied Finance

In this paper, we propose a new model for pricing stock and dividend derivatives. We jointly specify dynamics for the stock price and the dividend rate such that the stock price is positive and the dividend rate nonnegative. In its simplest form, the model features a dividend rate that is mean-reverting around a constant fraction of the stock price. The advantage of directly specifying dynamics for the dividend rate, as opposed to the more common approach of modeling the dividend yield, is that it is easier to keep the distribution of cumulative dividends tractable. The model is nonaffine but does belong to the more general class of polynomial processes, which allows us to compute all conditional moments of the stock price and the cumulative dividends explicitly. In particular, we have closed-form expressions for the prices of stock and dividend futures. Prices of stock and dividend options are accurately approximated using a moment matching technique based on the principle of maximal entropy.

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Type
research article
DOI
10.1142/S0219024920500442
Web of Science ID

WOS:000603028800002

Author(s)
Willems, Sander  
Date Issued

2020-11-01

Publisher

WORLD SCIENTIFIC PUBL CO PTE LTD

Published in
International Journal Of Theoretical And Applied Finance
Volume

23

Issue

7

Article Number

2050044

Subjects

Business, Finance

•

Business & Economics

•

dividend derivatives

•

term-structure models

•

polynomial processes

•

information-theory

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CSF  
Available on Infoscience
January 14, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/174691
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