Risk Classification in International Trade Using Methods of Cluster Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10245921" target="_blank" >RIV/61989100:27510/23:10245921 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.23762/FSO_VOL11_NO1_5" target="_blank" >https://doi.org/10.23762/FSO_VOL11_NO1_5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23762/FSO_VOL11_NO1_5" target="_blank" >10.23762/FSO_VOL11_NO1_5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Risk Classification in International Trade Using Methods of Cluster Analysis

Popis výsledku v původním jazyce

For an exporter, when exporting goods or services, it is important to know the situation in the countries to which the company wishes to export. Territorial risks can have a significant impact on operations, both in the form of profits and huge losses. To assess such a risk, the exporter may rely on credit insurance companies that regularly evaluate the risks of the given country. All insurance companies attempt to collect quantitative and qualitative data as accurately as possible with the aim of conducting an in-depth analysis of potential risk. However, insurance companies have their own methodologies for evaluating international risks, which may differ according to the organisation. The article applies cluster analysis to the assessment of territorial risk based on the example of OECD countries with the aim of classifying countries according to territorial risk based on selected indices. From a practical point of view, the benefit of the article is the use of the cluster analysis method for the purpose of classifying countries according to territorial risk; it offers exporters another source of information about the country which they are interested in exporting to. From a theoretical point of view, it is beneficial to identify key indices that together represent territorial risk and thus fulfil the general definition of territorial risk.

Název v anglickém jazyce

Risk Classification in International Trade Using Methods of Cluster Analysis

Popis výsledku anglicky

For an exporter, when exporting goods or services, it is important to know the situation in the countries to which the company wishes to export. Territorial risks can have a significant impact on operations, both in the form of profits and huge losses. To assess such a risk, the exporter may rely on credit insurance companies that regularly evaluate the risks of the given country. All insurance companies attempt to collect quantitative and qualitative data as accurately as possible with the aim of conducting an in-depth analysis of potential risk. However, insurance companies have their own methodologies for evaluating international risks, which may differ according to the organisation. The article applies cluster analysis to the assessment of territorial risk based on the example of OECD countries with the aim of classifying countries according to territorial risk based on selected indices. From a practical point of view, the benefit of the article is the use of the cluster analysis method for the purpose of classifying countries according to territorial risk; it offers exporters another source of information about the country which they are interested in exporting to. From a theoretical point of view, it is beneficial to identify key indices that together represent territorial risk and thus fulfil the general definition of territorial risk.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Forum Scientiae Oeconomia

ISSN

2300-5947

e-ISSN

2353-4435

Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

21

Strana od-do

91-112

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85153599672