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Is it possible to forecast which firms will be shorted? : Evidence from S&P 500

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.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-113696
Date January 2022
CreatorsMårs, Joakim, Stark, Tobias
PublisherLinnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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