Is it possible to forecast which firms will be shorted?: Evidence from S&P 500
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student 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
2022-06-102022-06-082022-06-10Bibliographically approved