Master Thesis Online
How do elderly consumption patterns, personality traits and Covid-19 pandemic shock influence their investment risk profiles across Europe?
Ylieff Counhaye, Charlotte 
Promotor(s) :
Lambert, Marie
Date of defense : 2-Sep-2024/7-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/21191
Ylieff_Counhaye_Charlotte - Master_Thesis_2023-2024.pdfDetails
| Title : | How do elderly consumption patterns, personality traits and Covid-19 pandemic shock influence their investment risk profiles across Europe? |
| Translated title : | [fr] Comment les habitudes de consommation des personnes âgées, les traits de personnalité et le choc de la pandémie du Covid-19 influencent-ils leurs profils de risque en matière d'investissement à travers l'Europe? |
| Author : | Ylieff Counhaye, Charlotte
|
| Date of defense : | 2-Sep-2024/7-Sep-2024 |
| Advisor(s) : | Lambert, Marie
|
| Committee's member(s) : | Schoenmaeckers, Jérome
|
| Language : | English |
| Number of pages : | 105 |
| Keywords : | [fr] Behavioral finance [fr] Elderly risk profiles [fr] Big Five personality traits [fr] Consumption patterns [fr] Covid-19 pandemic [fr] SHARE database |
| Discipline(s) : | Business & economic sciences > Finance |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en sciences de gestion, à finalité spécialisée en Banking and Asset Management |
| Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[fr] This study, as a contribution to the behavioral finance research field, aimed at understanding how risky consumption (i.e. smoking and/or alarming drinking) and healthy consumption patterns (i.e. daily consumption of fruits, vegetables, meat and dairy products, along with regular physical activities), the big Five personality traits (extraversion, openness, conscientiousness, agreeableness and neuroticism) and the Covid-19 pandemic shock influenced the investment risk profiles (risk seeker, dynamic or perfect or defensive risk diversifier, defensive and risk averse) of the elderly across eleven European countries, while taking into account the effect of personal sociodemographic and health characteristics.
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