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Risk Neutral Measure Determination from Price Ranges: Single Period Market Models

Risk neutral measures are defined such that the basic random assets in a portfolio are martingales. Hence, when the market model is complete, valuation of other financial instruments is a relatively straightforward task when those basic random assets constitute their underlying asset. To determine t...

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Detalles Bibliográficos
Autores principales: Gzyl, Henryk, Molina, German, ter Horst, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513028/
https://www.ncbi.nlm.nih.gov/pubmed/33265598
http://dx.doi.org/10.3390/e20070508
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author Gzyl, Henryk
Molina, German
ter Horst, Enrique
author_facet Gzyl, Henryk
Molina, German
ter Horst, Enrique
author_sort Gzyl, Henryk
collection PubMed
description Risk neutral measures are defined such that the basic random assets in a portfolio are martingales. Hence, when the market model is complete, valuation of other financial instruments is a relatively straightforward task when those basic random assets constitute their underlying asset. To determine the risk neutral measure, it is assumed that the current prices of the basic assets are known exactly. However, oftentimes all we know about the current price, or that of a derivative having it as underlying, is a bid-ask range. The question then arises as to how to determine the risk neutral measure from that information. We may want to determine risk neutral measures from that information to use it, for example, to price other derivatives on the same asset. In this paper we propose an extended version of the maximum entropy method to carry out that task. This approach provides a novel solution to this problem, which is computationally simple and fast.
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spelling pubmed-75130282020-11-09 Risk Neutral Measure Determination from Price Ranges: Single Period Market Models Gzyl, Henryk Molina, German ter Horst, Enrique Entropy (Basel) Article Risk neutral measures are defined such that the basic random assets in a portfolio are martingales. Hence, when the market model is complete, valuation of other financial instruments is a relatively straightforward task when those basic random assets constitute their underlying asset. To determine the risk neutral measure, it is assumed that the current prices of the basic assets are known exactly. However, oftentimes all we know about the current price, or that of a derivative having it as underlying, is a bid-ask range. The question then arises as to how to determine the risk neutral measure from that information. We may want to determine risk neutral measures from that information to use it, for example, to price other derivatives on the same asset. In this paper we propose an extended version of the maximum entropy method to carry out that task. This approach provides a novel solution to this problem, which is computationally simple and fast. MDPI 2018-07-04 /pmc/articles/PMC7513028/ /pubmed/33265598 http://dx.doi.org/10.3390/e20070508 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gzyl, Henryk
Molina, German
ter Horst, Enrique
Risk Neutral Measure Determination from Price Ranges: Single Period Market Models
title Risk Neutral Measure Determination from Price Ranges: Single Period Market Models
title_full Risk Neutral Measure Determination from Price Ranges: Single Period Market Models
title_fullStr Risk Neutral Measure Determination from Price Ranges: Single Period Market Models
title_full_unstemmed Risk Neutral Measure Determination from Price Ranges: Single Period Market Models
title_short Risk Neutral Measure Determination from Price Ranges: Single Period Market Models
title_sort risk neutral measure determination from price ranges: single period market models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513028/
https://www.ncbi.nlm.nih.gov/pubmed/33265598
http://dx.doi.org/10.3390/e20070508
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