sh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Restaurangbranschen på aktiemarknaden: En empirisk studie av den negativa abnormala avkastningen
Södertörn University, School of Social Sciences, Business Studies.
Södertörn University, School of Social Sciences, Business Studies.
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Syftet med denna studie är att undersöka om det förekommer abnormal avkastning påaktiemarknaden hos de tio största amerikanska företagen inom restaurangbranschen isamband med Covid-19. I studien tillämpas teorierna Behavioral finance och den effektivamarknadshypotesen för att få en djupare förståelse kring restaurangbranschens aktiemarknadunder pandemin. En kvantitativ metod tillämpas i studien. En anpassad form av eventstudieanvänds innefattande marknadsmodellen för att räkna fram förväntad avkastning utifrånhistorisk statistik vilket sedan jämförs med den faktiska avkastningen under det så kalladeeventfönstret. Resultatet har visat att alla restaurangföretag utom ett som studerats i dennauppsats har påvisat en abnormal negativ avkastning under perioden 11 februari – 8 april år 2020 där Covid-19 var en framträdande nyhet i USA och resten av världen.

Abstract [en]

The purpose of the study is to investigate weather abnormal returns occurs in the stock marketamong the ten largest American companies in the restaurant industry in the timeline whereCovid-19 became a pandemic. The study applies theories from Behavioral finance and theEfficient market hypothesis to gain a deeper understanding of the restaurant industry’s stockmarket during the pandemic. A quantitative methodology is employed in this study. Anadapted form of event study is utilized, incorporating the market model to calculate expectedreturns based on historical data which is then compared to returns during the specified eventwindow. The results indicate that all restaurant companies, except one, examined exhibitedabnormal negative returns during the period from February 11 – April 8 the year 2020, when Covid-19 was a significant news story in the United States and globally.

Place, publisher, year, edition, pages
2024. , p. 69
Keywords [en]
Abnormal return, Covid-19, Efficient market hypothesis, Behavioral Finance
Keywords [sv]
Abnormal avkastning, Covid-19, Effektiva marknadshypotesen
National Category
Business Administration
Identifiers
URN: urn:nbn:se:sh:diva-54309OAI: oai:DiVA.org:sh-54309DiVA, id: diva2:1875207
Subject / course
Business Studies
Supervisors
Examiners
Available from: 2024-06-24 Created: 2024-06-20 Last updated: 2024-06-24Bibliographically approved

Open Access in DiVA

fulltext(2966 kB)76 downloads
File information
File name FULLTEXT01.pdfFile size 2966 kBChecksum SHA-512
adef2f01add2a082abc7dc60d40a303943cfffff9b879f937ca17edc07f7a52ff1301b7287e638e20d0cb240517c1b5422b3ff0e3e42ba6c746b1b45077f2bf0
Type fulltextMimetype application/pdf

By organisation
Business Studies
Business Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 77 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 561 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf