Skillnader i riskaversion utifrån kön och olika storlek på sparkapital

Fredriksson, Emma
Matsson, Andrea
University of Gothenburg/Department of Economics
Göteborgs universitet/Institutionen för nationalekonomi med statistik
University of Gothenburg/Department of Business Administration
Göteborgs universitet/Företagsekonomiska institutionen
2021-06-30T08:51:26Z
2021-06-30T08:51:26Z
2021-06-30
The purpose of this thesis is to investigate whether females are more risk averse than men on the Swedish stock market and to determine if the level of risk aversion decreases or increases for individuals with a large amount of investments, defined as >1 MSEK. The datasets on which this thesis has used is collected from Avanza, a Swedish financial institution, and the time period that the data will be implemented from is 2019-02-15 to 2021-02-15. Carhart´s Four-Factor regression analysis is used to investigate how the investment behavior are differently between the women and men, the millionaires and non-millionaires. The result of this thesis show that women are more risk averse in comparison to men, which is consistent with what the theory predicts and the findings in most of the previous empirical studies. We also find that millionaires are more risk averse compared to non-millionaires because of their higher portfolio beta.sv
http://hdl.handle.net/2077/68904
swesv
202106:303sv
Uppsatssv
SocialBehaviourLaw
Risk Aversionsv
Carhart's Four-Factor modelsv
Regression analysissv
Betasv
Average Returnsv
Risk Adjusted Returnsv
Fictive portfoliossv
Overconfidencesv
Skillnader i riskaversion utifrån kön och olika storlek på sparkapitalsv
Differences in risk aversion based on gender and different sizes of savingssv
text
Student essay
M2

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
gupea_2077_68904_1.pdf
Size:
537.38 KB
Format:
Adobe Portable Document Format
Description:
Thesis frame

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
4.68 KB
Format:
Item-specific license agreed upon to submission
Description: