Artikel

Value-based financial risk prediction model

The model of financial risk prediction we developed and present in our paper is based on the theoretical assumption that there exists a significant relationship between actual economic situation and values. This assumption confirmed by the research influences the potential risk in financial behaviour and it becomes actual especially in the case of changing life conditions. The concept of the model is based on data received from 3768 respondents questioned across the Czech Republic. Measured variables were indexed, and the cluster and factor analyses were used for multivariate analysis. The model is unique in the combination of personal values projected into six generalized value types and developed economic indexes clustered in four types of economic situations. The primary purpose of the model is to identify the anticipated personal financial risk of clients. The model has fundamental applications as a diagnostic or auto-diagnostic tool in social work, counselling, psychotherapy, and other helping professions, or as a research instrument leading to various hypotheses and to the enhancement of theories concerning economic behaviour.

Sprache
Englisch

Erschienen in
Journal: Risks ; ISSN: 2227-9091 ; Volume: 9 ; Year: 2021 ; Issue: 11 ; Pages: 1-24 ; Basel: MDPI

Klassifikation
Wirtschaft
Thema
model
financial responsibility
financial well-being
financial knowledge
values
economic situation
risks
helping professions

Ereignis
Geistige Schöpfung
(wer)
Pospíšil, Jiří
Matulayová, Nataša
Macháčková, Pavla
Jurníčková, Pavlína
Olecká, Ivana
Pospíšilová, Helena
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2021

DOI
doi:10.3390/risks9110205
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Pospíšil, Jiří
  • Matulayová, Nataša
  • Macháčková, Pavla
  • Jurníčková, Pavlína
  • Olecká, Ivana
  • Pospíšilová, Helena
  • MDPI

Entstanden

  • 2021

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