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License: CC BY
Data sources: UnpayWall
https://doi.org/10.15587/2312-...
Article . 2017 . Peer-reviewed
Data sources: Crossref
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Development of binomial pricing model of shares and bonds for a life insurance company

Authors: Dyba, Victoria; Kapustian, Volodymir;

Development of binomial pricing model of shares and bonds for a life insurance company

Abstract

The process of share price formation is studied in the article as well as a random process, and a model is developed that describes a random process that has characteristics close to the Brownian bridge, and realizes a multiplicative model of the bond price evolution with outpaced repayment time and normal value. The definition of a random process of forming a share price through a geometric Brownian bridge is also given. Since the Ukrainian insurance market is at the initial stage of development, and the country's economy is unstable, insurance companies need practical and reliable tools for calculating and forecasting the expected return on investment activity. And especially urgent for this particular type of activity is the issue of breakeven investment, as insurance companies can’t afford risky investment because of the specifics of their activities. As a research result, the level of investing in a risk-free asset for an insurance company of a cumulative type is calculated.

Keywords

UDC 336.368, страховий ринок; страхування життя; накопичення; броунівський міст; випадковий процес; акції; облігації; біноміальна модель, insurance market; life insurance; savings; Brownian bridge; random process; shares; bonds; binomial model, страховой рынок; страхование жизни; накопления; броуновский мост; случайный процесс; акции; облигации; биномиальная модель., УДК: 336.368

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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