Vidare forskning

Vidare forskning med annorlunda gruppindelning hade varit intressant ifall det skulle kunna generera tydligare indikationer för om det finns ett ultimat antal förvärv för att nå maximal avkastning. För att undersöka den nordiska marknaden ytterligare skulle denna studie kunna replikeras med ett större dataurval genom att inkludera alla Large Cap-bolag i hela Norden. Studien skulle också kunna utvecklas genom att implementera nya grupperingar för att möjligtvis påvisa ett tydligare samband mellan avkastning och förvärv. Ett alternativt är att höja eller sänka gränserna för att kvalificera sig in till respektive grupp, vilket skulle bidra med ett nytt perspektiv på ämnet. En infallsvinkel skulle kunna vara att se på hela Stockholmsbörsen men då ha med bolagens marknadsvärde som en variabel, för att se eventuella samband och om inkluderingen av mindre bolag förändrar utfallet. En variabel som inte inkluderades i denna studie var bransch.

Framtida forskning som använder detta som en faktor i sina studier hade kunnat bidra med att klargöra kopplingen mellan avkastning och förvärv genom att utesluta bransch som en snedvridande variabel.

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Appendix

NIBE Industrier B 27.48% 1033.22% 1888.96 21406.11

SWECO B 25.52% 870.81% 1764.1 17126.14

Indutrade 24.82% 817.70% 212.84 1953.23

Lundin Energy 24.61% 802.60% 1413.09 12754.59

AAK 23.14% 701.74% 141.8 1136.87

Swedish Match 16.30% 352.51% 1,073.43 4,857.37

Kindred Group 16.26% 351.27% 445.68 2011.24

AstraZeneca 16.24% 350.23% 119.01 535.82

Holmen B 16.22% 349.49% 3479.67 15640.83

SAAB B 13.66% 259.72% 193.17 694.88

Billerud Korsnäs 13.61% 258.35% 193.15 692.15

Stora Enso R 13.52% 255.35% 101.55 360.86

Hennes & Mauritz B 3.91% 46.79% 140,463.60 206,191.60

Telia Company 3.48% 40.81% 89.66 126.25

MTG B 2.43% 27.17% 673.94 857.04

Millicom 2.38% 26.57% 342.74 433.82

SSAB A -8.46% -58.68% 1,641.54 16479.31258

CAGR= [RI(2019)/RI(2009)]^1/10 – 1 Utveckling= [RI(2019)/RI(2009)] -1