Uppsats

Svenska fastighetsbolag som investeringsobjekt

Master-uppsats

Lunds universitet/Fastighetsvetenskap

Publicerad: 2026

Språk: Svenska

Sammanfattning

This thesis examines the 14 largest listed Swedish real estate companies on the Nasdaq Stockholm Large Cap segment as investment objects between 2006 and 2026. It analyzes their risk and return characteristics, identifies shared traits among the strongest performers, and tests whether an optimized portfolio of real estate shares can outperform both the sector index and the broader market on a risk-adjusted basis. A mixed-method approach is applied. Monthly return data for the companies is analysed through portfolio optimization based on Modern Portfolio Theory, CAPM and the Sharpe ratio, divided into four five-year periods. The quantitative results are complemented by interviews with senior representatives from the sector and a review of annual reports and public communications. The results show that the sector’s performance depends heavily on the interest rate environment. During the prolonged low-rate period, real estate shares delivered strong excess returns and the optimized portfolios performed well above the market. The picture changed clearly when rates rose, as the sector underperformed the broader market by a considerable margin, risk levels increased, and several companies failed to compensate investors for the risk taken. Across all periods, the strongest performers share a focused business model, a clear focus on cash flow and a conservative approach to debt. The interviews confirm this pattern and highlight the importance of sector expertise and financial discipline. Furthermore, a concentrated ownership structure is observed among the stronger- performing companies, where a founder or a principal shareholder holds operational responsibility. The study concludes that listed real estate should be seen as a cyclical and interest-rate-sensitive asset class rather than a defensive one. The optimized portfolios beat the indices in hindsight, but since the analysis is based on historical data, the same outcome cannot be expected going forward.

Information

Lärosäte / institution
Lunds universitet/Fastighetsvetenskap
Publiceringsdatum
2026
Uppsatstyp
Master-uppsats
Språk
Svenska

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