Over the past decade, the Swedish pension funds AP1, AP2, AP3, and AP4 have significantly increased their capital allocation towards unlisted real estate. This study explores the investment strategies of these AP funds, examining the methods used in asset class investments, risk mitigation measures, responses to macroeconomic threats, and investment returns. Employing a mixed-methods approach, the research integrates semi-structured interviews with fund representatives and statistical analysis of data from annual reports.  Findings indicate that the AP funds have capitalized on post-financial crisis real estate market dynamics, particularly evident in investments initiated in the years after the crisis. Notably, AP1, AP3, and AP4 have gained good returns through sector diversification, contrasting with AP2’s less successful geographic diversification. Investments are primarily direct or joint ventures in unlisted real estate firms, avoiding PERE-funds due to their shorter holding periods and high costs. Risk is mitigated through extended holding periods, strategic partner selection, board involvement, and analysis of megatrends. The low risk-free rate environment that has been in Sweden for the last decade has significantly supported the unrealized returns from the investments. Future capital allocation should focus on non-competing sectors, reinvestments in existing assets, and identification of new trends to enhance sector investability. / Under det senaste decenniet har de svenska pensionsfonderna AP1, AP2, AP3 och AP4 ökat sin tillgångsallokering avsevärt i onoterade fastigheter. Denna studie utforskar investeringsstrategierna för dessa AP-fonder och granskar de metoder som används i investeringarna i tillgångsklassen, vilka åtgärder som görs för riskminimering samt hur makroekonomiska hot minimeras och vilka avkastningarna investeringarna gett. Genom att använda en blandad metod använder studien semistrukturerade intervjuer med fondrepresentanter och statistisk analys av data från årsredovisningar. Resultaten visar att AP-fonderna har kapitaliserat på dynamiken på fastighetsmarknaden efter finanskrisen, särskilt tydligt i investeringar som initierades åren efter krisen. Noterbart är att AP1, AP3 och AP4 har uppnått betydande avkastningar genom sektordiversifiering, i kontrast till AP2:s mindre framgångsrika geografiska diversifiering. Investeringarna sker främst direkt eller via klubbstrukturer i onoterade fastighetsföretag, där PERE-fonder undviks på grund av deras kortare hållperioder och oproportionerliga kostnader. Riskminimering uppnås genom långa investeringshorisonter, strategiskt partnerurval, styrelseengagemang och analys av megatrender. Den låga riskfria räntemiljön som varit i Sverige det senaste decenniet har avsevärt stöttat de orealiserade avkastningarna från investeringarna. Framtida kapitalallokeringar bör fokusera på icke-konkurrerande sektorer, återinvesteringar i befintliga bolag och identifiering av nya trender för att hitta sektorer som blivit investerbara.

The aim of this study is to investigate the possibility to improve the investment model defined in Piotroski (2000) and the subsequent research carried out on this model. Our model builds further upon the original fundamental score put forth by Piotroski. This further developed model is tested in two different contexts; firstly, a weighted fundamental score is developed that is updated every year in order to control for any changes in the predictive ability of fundamental signals over time. Secondly, the behavior of this score is analyzed in context of recession and growth cycles of the macro economy. Our findings show that high book-to-market portfolio consist of poor performing firms, as shown by Fama and French (1995) and is thereby outperformed by both Piotroski's F_score and our own developed scores. The score based on a rolling window correlation is performing a little better then F_score, but the score based on correlations for prior Up and Down periods is not. The conclusions we draw from the results are that improvements have to be made, both to F_score and our own developments, to sort winners from loser to get an even more profitable zero-investment hedge strategy.