Fundamental Indexation Smart Beta Strategy on the Swedish Market- Enhancing risk-adjusted performance with Fundamental Indexation

Saliba, Tommy
Thulin, Philip
University of Gothenburg/Graduate Schooleng
Göteborgs universitet/Graduate Schoolswe
2021-06-30T13:56:06Z
2021-06-30T13:56:06Z
2021-06-30
MSc in Financesv
Smart Beta strategies’ ability to combine the benefits of active- and passive investing has caught the attention of the Asset Management industry – propelling a surge in new Smart Beta products. These strategies offer a novel approach to factor investing by not weighting assets according to the typical cap-weighting scheme, instead applying weighting methods such as fundamental indexation, yielding a new dimension to factor-oriented strategies. This thesis examines the Fundamental Indexation Smart Beta strategy on the Swedish market by comparing the constructed portfolios versus the OMX Stockholm All-Share index from 2006 to 2021. The aim is to investigate whether risk-adjusted cross-sectional returns can be found using a heuristic portfolio generation procedure based on previous literature of the Capital Asset Pricing Model, Factor Investing, and contemporary Smart Beta research. Value, Low Volatility, Quality, and Momentum are the chosen Smart Beta portfolios. The portfolio generation procedure is divided into three steps: screening, scoring, and weighting. The findings reveal significant outperformance in three out of four Smart Beta portfolios versus the benchmark index on a risk-adjusted basis.sv
http://hdl.handle.net/2077/68968
engsv
Master Degree Projectsv
2021:149sv
SocialBehaviourLaw
Smart Betasv
Fundamental Indexationsv
CAPMsv
EMHsv
Valuesv
Qualitysv
Momentumsv
Low Volatilitysv
Factor Investingsv
Fundamental Indexation Smart Beta Strategy on the Swedish Market- Enhancing risk-adjusted performance with Fundamental Indexationsv
Text
Master 2-years
H2

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
gupea_2077_68968_1.pdf
Size:
3.29 MB
Format:
Adobe Portable Document Format
Description:

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:

Collections