Country Risk Premium as an Indicator of Investment Attractiveness and the Russian-Ukrainian War Effect

Abstract : One of the significant areas of financial management is investment management. To assess the investment attractiveness of a country, a sufficient number of different indicators are known, which is determined by the complexity of the concept under consideration. The assessment can be made on the basis of long-term statistics, e.g., of attracted foreign capital. It is also possible to use a composition of several statistical data reflecting different aspects related to investments. Considering the problem, along with the above approaches, it would like to have an indicator that would reflect the current state of the investment process, that is, based on short-term (day, week, month) data. It should not be composite, so as not to introduce additional error into the calculation. This article is devoted to the presentation of just such an indicator for investment attractiveness of a country, called the Country Risk Premium, CRP, which is well-known in business valuation. The article describes experience in calculating the СRP for different countries. The influence of the Russian-Ukrainian War on the magnitude of this indicator is demonstrated. The article is intended for financial consultants, appraisers, teachers, and scientists in the fields of finance, investment and valuation, as well as for specialists in related fields of economics.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17232287
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Country Risk Premium as an Indicator of Investment Attractiveness and the Russian-Ukrainian War Effect

Zenodo (CERN European Organization for Nuclear Research)
Data Management and Algorithms
article

Country Risk Premium as an Indicator of Investment Attractiveness and the Russian-Ukrainian War Effect

article en

Abstract

Abstract : One of the significant areas of financial management is investment management. To assess the investment attractiveness of a country, a sufficient number of different indicators are known, which is determined by the complexity of the concept under consideration. The assessment can be made on the basis of long-term statistics, e.g., of attracted foreign capital. It is also possible to use a composition of several statistical data reflecting different aspects related to investments. Considering the problem, along with the above approaches, it would like to have an indicator that would reflect the current state of the investment process, that is, based on short-term (day, week, month) data. It should not be composite, so as not to introduce additional error into the calculation. This article is devoted to the presentation of just such an indicator for investment attractiveness of a country, called the Country Risk Premium, CRP, which is well-known in business valuation. The article describes experience in calculating the СRP for different countries. The influence of the Russian-Ukrainian War on the magnitude of this indicator is demonstrated. The article is intended for financial consultants, appraisers, teachers, and scientists in the fields of finance, investment and valuation, as well as for specialists in related fields of economics.

Zenodo (CERN European Organization for Nuclear Research)
Realtek (China) (CN)
Openalex Percentile: Top 43%
Data Management and Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.