The Log Private Company Valuation Model

Fuente: arXiv
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Main Author: Gankhuu, Battulga
Format: Preprint
Published: 2022
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author Gankhuu, Battulga
author_facet Gankhuu, Battulga
contents For a public company, pricing and hedging models of options and equity--linked life insurance products have been sufficiently developed. However, for a private company, because of unobserved prices, pricing and hedging models of the European options and life insurance products are in their early stages of development. For this reason, this paper introduces a log private company valuation model, which is based on the dynamic Gordon growth model. In this paper, we obtain closed--form pricing and hedging formulas of the European options and equity--linked life insurance products for private companies. Also, the paper provides Maximum Likelihood (ML) estimators of our model, Expectation Maximization (EM) algorithm, and valuation formula for private companies.
format Preprint
id arxiv_https___arxiv_org_abs_2206_09666
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle The Log Private Company Valuation Model
Gankhuu, Battulga
Mathematical Finance
For a public company, pricing and hedging models of options and equity--linked life insurance products have been sufficiently developed. However, for a private company, because of unobserved prices, pricing and hedging models of the European options and life insurance products are in their early stages of development. For this reason, this paper introduces a log private company valuation model, which is based on the dynamic Gordon growth model. In this paper, we obtain closed--form pricing and hedging formulas of the European options and equity--linked life insurance products for private companies. Also, the paper provides Maximum Likelihood (ML) estimators of our model, Expectation Maximization (EM) algorithm, and valuation formula for private companies.
title The Log Private Company Valuation Model
topic Mathematical Finance
url https://arxiv.org/abs/2206.09666