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Is it possible to forecast which firms will be shorted?: Evidence from S&P 500
Linnaeus University, School of Business and Economics, Department of Management Accounting and Logistics.
Linnaeus University, School of Business and Economics, Department of Management Accounting and Logistics.
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis aims to examine whether it is possible to forecast which firmswill be shorted. To do this a regression was constructed using a sample of thecompanies currently included in S&P 500. Short interest as percentage offloat was set as the dependent variable with volatility, institutionalownership, past stock returns, growth in net sales and price-to-earnings ratio(P/E) as the independent variables. Our results concluded that all variablesexcept institutional ownership were statistically significant at a 5% level withthree of these being significant even at a 1% level. Based on these results, webelieve that it to a certain degree is possible to forecast which firms will beshorted.

Place, publisher, year, edition, pages
2022. , p. 31
Keywords [en]
Short selling, S&P 500, fundamental ratios, abnormal returns, OLS regression, significance levels, forecasts, institutional ownership
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:lnu:diva-113696OAI: oai:DiVA.org:lnu-113696DiVA, id: diva2:1666251
Subject / course
Business Administration - Management Accounting
Educational program
Business Administration and Economics Programme, 240 credits
Supervisors
Examiners
Available from: 2022-06-10 Created: 2022-06-08 Last updated: 2022-06-10Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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