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Först och främst föreslår författarna att det i framtiden utförs en liknande studie som denna, dock med en longitudinell design. Denna studie har konstaterat att ett negativt samband mellan ESG-betyg och värdering har förelegat vid årsskiftet 2020/2021. En studie som följer upp detta och studerar sambandet över tid hade kunnat bidra till forskningsfältets kartläggning av detta relativt unga ämne. Dessutom anses en studie över tid på ett bättre sätt kunna analysera eventuell kausalitet, det vill säga om en av variablerna utövar påverkan på den andra och även riktningen av detta samband. Bristen på svenska företag som haft publicerade ESG-betyg i mer än ett par enstaka år, har legat till grund för denna studies val att inte studeras sambandet över tid. Detta problem kommer successivt att minska i framtiden, då fler och fler bolag börjar betygsättas och tidsseriedata hinner byggas upp. Potentiella förklaringar till det negativa sambandet har analyserats och diskuterats. Ett av dessa förslag till förklaringar var att investerares definition av hållbarhet inte överensstämmer med vad ESG-betyget mäter. Konsekvensen av det scenario är att ESG- betyget inte representerar hållbarhet på ett bra sätt, och vidare även att ett negativt samband mellan betyget och värdering i regressioner, inte nödvändigtvis återspeglar sambandet mellan hållbarhet och värdering i verkligheten. En studie, som genom intervjuer eller enkäter, undersöker i vilken utsträckning såväl privatsparare som institutionella investerare faktiskt använder sig av dessa ESG-betyg för att göra bedömningar, hade kunnat bidra till att förklara hur pass representativa betygen är. Om betygen används i stor utsträckning innebär det också att betygen speglar verklighetens definition av hållbarhet och att erhållna samband ur regressioner är verklighetstrogna. Om det motsatta är fallet, det vill säga att betygen knappt används i praktiken, finns risken att de inte återspeglar hållbarhet på ett bra sätt. Studien hittade även att variabler som tillväxt och risk var negativt korrelerade med ESG- betyget, medan storlek däremot såg ut att vara positivt korrelerat. Korrelationerna som såväl tillväxt som storlek hade med betyget var en av studiens potentiella förklaringar till det negativa sambandet. Scenariot hade att göra med att de mindre bolagen med generellt högre tillväxt men lägre betyg, värderades högre på grund av deras högre tillväxt och att det negativa sambandet mellan ESG och värdering var en bieffekt av detta. Författarna föreslår att detta scenario undersöks djupare genom att i stället för att undersöka sambanden mellan ESG och värdering, undersöks snarare sambanden mellan ESG och variabler som tillväxt, risk, storlek eller lönsamhet. Det hade varit intressant att utreda om ESG har ett direkt samband med värdering, eller om det rör sig om ett indirekt samband där betyget påverkar dessa finansiella variabler, som i sin tur påverkar värderingen. Om det till exempel visar sig vara så att ju större ett bolag är, desto bättre ESG-betyg erhåller de, skulle det kunna innebära att det inte är rättvist att jämföra mindre bolag mot större bolag, vad gäller hållbarhetsarbete.

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9 Appendix

Appendix 1 – Korrelationsmatriser

Pearson r - Korrelationsmatris (Hela urvalet)

P/E-regression

ESG ROE Tillväxt Risk

ESG 1 0,021 -0,035 -0,276**

ROE 1 -0,031 0,047

Tillväxt 1 0,258*

Risk 1

P/BV-regression

ESG ROE Tillväxt Risk

ESG 1 0,136 -0,347** -0,348**

ROE 1 -0,416** -0,303**

Tillväxt 1 0,115

Risk 1

EV/EBITDA-regression

ESG ES Tillväxt Risk

ESG 1 0,151 -0,132 -0,334**

ES 1 -0,076 -0,12

Tillväxt 1 0,363

Risk 1

EV/S-regression

ESG RM Tillväxt Risk

ESG 1 -0,108 -0,337** -0,261**

RM 1 -0,164 0,366**

Tillväxt 1 -0,231**

Risk 1

*** 1 procents signifikansnivå Förkortningar: ROE = Return on

Equity, ES = Effektiv skattesats, RM = Rörelsemarginal ** 5 procents signifikansnivå

Pearson r - Korrelationsmatris (Large Cap)

P/E-regression

ESG ROE Tillväxt Risk

ESG 1 -0,107 -0,233* -0,320**

ROE 1 -0,032 0,166

Tillväxt 1 0,378**

Risk 1

P/BV-regression

ESG ROE Tillväxt Risk

ESG 1 -0,085 -0,253* -0,311**

ROE 1 -0,058 0,029

Tillväxt 1 0,424**

Risk 1

EV/EBITDA-regression

ESG ES Tillväxt Risk

ESG 1 0,227* -0,222* -0,312**

ES 1 -0,113 -0,049

Tillväxt 1 0,395**

Risk 1

EV/S-regression

ESG RM Tillväxt Risk

ESG 1 -0,157 -0,227* -0,314**

RM 1 0,018 0,025

Tillväxt 1 0,416**

Risk 1

*** 1 procents signifikansnivå Förkortningar: ROE = Return

on Equity, ES = Effektiv skattesats, RM = Rörelsemarginal ** 5 procents signifikansnivå

Pearson r - Korrelationsmatris (Mid Cap)

P/E-regression

ESG ROE Tillväxt Risk

ESG 1 -0,008 -0,094 0,064

ROE 1 0,218 -0,1

Tillväxt 1 0,246

Risk 1

P/BV-regression

ESG ROE Tillväxt Risk

ESG 1 -0,005 -0,264* -0,018

ROE 1 -0,532** -0,396**

Tillväxt 1 0,005

Risk 1

EV/EBITDA-regression

ESG ES Tillväxt Risk

ESG 1 0,254 -0,377** -0,048

ES 1 -0,129 -0,270*

Tillväxt 1 0,338*

Risk 1

EV/S-regression

ESG RM Tillväxt Risk

ESG 1 -0,291* -0,272* -0,025

RM 1 -0,277* -0,531**

Tillväxt 1 0,007

Risk 1

*** 1 procents signifikansnivå Förkortningar: ROE = Return on

Equity, ES = Effektiv skattesats, RM = Rörelsemarginal ** 5 procents signifikansnivå

Appendix 2 – Branschanalys

VIF-värden & Modellsignifikans

ESG Tillväxt Risk ROE ES RM ANOVA Sig Analyserbar

In d u str ial s P/E 1,878 1,078 2,265 1,324 0,053 P/BV 2,057 1,047 2,252 1,209 0,000 Ja EV/EBITDA 1,893 1,045 1,868 1,014 0,021 Ja EV/S 1,546 1,214 4,476 3,853 0,000 B asi c M ate ri al s P/E 1,051 20,728 19,682 3,479 0,063 P/BV 1,346 4,544 3,379 1,645 0,145 EV/EBITDA 1,877 4,761 4,857 1,921 0,455 EV/S 1,342 4,740 4,654 1,470 0,236 H e al th car e P/E 1,245 1,234 1,171 1,171 0,128 P/BV 2,186 4,526 2,323 3,631 0,044 EV/EBITDA 2,274 1,558 1,603 1,597 0,836 EV/S 3,863 4,502 2,427 2,119 0,015 Co n su m e r Cy cl ic a ls P/E 1,016 1,016 1,035 1,036 0,042 Ja P/BV 1,008 1,053 1,020 1,072 0,019 Ja EV/EBITDA 1,019 1,117 1,037 1,132 0,000 Ja EV/S 1,030 1,011 1,150 1,170 0,000 Ja Co n su m e r Non -Cy cl ic a ls P/E 2,812 1,498 3,508 1,228 0,290 P/BV 4,910 1,506 4,223 1,726 0,397 EV/EBITDA 3,614 1,546 3,954 1,327 0,927 EV/S 3,386 1,562 4,084 1,284 0,003 Tec h n o lo gy P/E 1,572 1,625 2,197 1,099 0,582 P/BV 2,695 2,337 1,431 1,107 0,254 EV/EBITDA 8,071 2,761 4,477 5,265 0,071 EV/S 2,714 2,238 1,514 1,115 0,426 R e al E stat e P/E 1,469 1,273 1,156 1,414 0,011 Ja P/BV 1,519 1,209 1,214 1,426 0,022 Ja EV/EBITDA 1,315 1,210 1,106 1,011 0,013 Ja EV/S 1,342 1,228 1,105 1,034 0,020 Ja Fi n an ci al s P/E 1,213 4,714 4,732 1,145 0,092 P/BV 1,213 4,714 4,732 1,145 0,000 EV/EBITDA 1,178 4,987 4,865 1,194 0,015 EV/S 1,240 5,021 5,535 1,437 0,040

*** 1 procents signifikansnivå Förklaringar: ROE = Return on Equity, ES = Effektiv skattesats, RM =

Rörelsemarginal, ANOVA Sig = Modellsignifikansen från ANOVA testet.

** 5 procents signifikansnivå

Betakoefficienter

IN BM HC CC CNC TE RE FI P/E ESG 0,126 -0,590 -0,192 0,157 -0,464 0,980 -0,266 -0,438 Tillväxt 3,698 ** -4,507 3,434 3,312 ** -0,631 3,499 1,220 3,516 Risk 8,158 36,122 1,958 -2,612 5,714 5,764 -6,927 4,055 ROE -1,449 -14,083 ** 7,974 * -1,235 0,754 -2,243 -6,651 ** 0,032 P/BV ESG -0,409 -0,989 1,189 * -0,261 -1,355 1,240 -0,196 -1,125 ** Tillväxt 5,324 ** 2,028 1,867 ** 0,919 -0,493 3,456 1,073 4,678 ** Risk 3,125 -16,327 12,544 ** -3,233 -1,486 6,550 -10,270 ** -8,522 ROE 5,522 *** 4,904 ** 5,413 ** 1,666 ** 7,654 * 1,177 3,939 ** 6,973 *** EV/EBITDA ESG 0,073 -0,960 0,272 0,146 -0,208 -0,231 -0,591 ** 0,237 Tillväxt 5,299 ** 0,249 2,674 4,180 *** -2,884 3,829 * 1,854 4,482 ** Risk -1,221 -13,923 6,256 -5,792 4,732 -0,400 -12,874 ** -21,181 ** Effektiv skattesats -0,232 -0,098 -0,191 -0,217 -0,711 0,196 -0,115 -2,563 * EV/S ESG 0,795 ** -0,914 1,252 -0,012 -1,107 -1,216 -0,300 0,687 Tillväxt 7,267 *** 1,820 2,853 ** 6,434 *** -2,657 0,266 5,130 ** 4,648 ** Risk 17,710 ** -24,641 22,342 -6,103 -0,269 0,793 -17,366 ** -18,770 Rörelsemarginal 5,188 ** 1,572 1,793 0,877 9,116 ** 0,294 0,200 2,584

*** 1 procents signifikansnivå Förkortningar för branscher: IN = Industrials, BM = Basic Materials, HC =

Healthcare, CC = Consumer Cyclicals, CNC = Consumer Non-Cyclicals, TE = Technology, RE = Real Estate, FI = Financials

** 5 procents signifikansnivå

Appendix 3 – Studiens urval

Företagsnamn

Lista

TRBC Economic Sector

AAK AB Large Cap Consumer Non-Cyclicals

ABB Large Cap Industrials

ADDTECH B Large Cap Industrials

AF POYRY Large Cap Industrials

ALFA LAVAL Large Cap Industrials

ARJO Large Cap Healthcare

ASSA ABLOY B Large Cap Consumer Cyclicals

ASTRA ZENECA Large Cap Healthcare

ATLAS COPCO B Large Cap Industrials

ATRIUM LJUNGBERG Large Cap Real Estate

AUTOLIV INC SDR Large Cap Consumer Cyclicals

AVANZA HOLDING Large Cap Financials

AXFOOD Large Cap Consumer Non-Cyclicals

BEIJER REF AB Large Cap Industrials

BETSSON B Large Cap Consumer Cyclicals

BILLERUD KORSNAS Large Cap Basic Materials

BOLIDEN AB Large Cap Basic Materials

BRAVIDA HOLDING Large Cap Industrials

CASTELLUM AB Large Cap Real Estate

CATENA AB Large Cap Real Estate

DOMETIC GROUP AB Large Cap Consumer Cyclicals

ELECTROLUX B Large Cap Consumer Cyclicals

ELECTROLUX PRO B Large Cap Consumer Cyclicals

ELEKTA B Large Cap Healthcare

EPIROC B Large Cap Industrials

EQT Large Cap Financials

ERICSSON B Large Cap Technology

ESSITY B Large Cap Consumer Non-Cyclicals

EVOLUTION GAMING Large Cap Consumer Cyclicals

FABEGE Large Cap Real Estate

FASTIGHETS BAL B Large Cap Real Estate

GETINGE AB Large Cap Healthcare

HENNES&MAURITZ B Large Cap Consumer Cyclicals

HEXAGON AB B Large Cap Technology

HEXPOL B Large Cap Basic Materials

HOLMEN B Large Cap Basic Materials

HUFVUDSTADEN A Large Cap Real Estate

HUSQVARNA B Large Cap Consumer Cyclicals

ICA GRUPPEN Large Cap Consumer Non-Cyclicals

INDUTRADE AB Large Cap Industrials

INTRUM Large Cap Financials

JM Large Cap Consumer Cyclicals

KLOVERN B Large Cap Real Estate

KUNGSLEDEN Large Cap Real Estate

LIFCO B Large Cap Financials

LOOMIS Large Cap Industrials

LUNDIN ENERGY Large Cap Energy

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