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Analysis and prediction of apartment prices in inner city Stockholm
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In this thesis, an attempt will be made to nd a model that predicts apartment prices

in inner city Stockholm. Lately, apartment prices have steadily increased and it has

become rather popular to invest money in apartments due to the high potential of value

increase. Of course not all apartments will increase in value, and we hope to nd the

factors that determine the value of an apartment that is about to be sold. To nd these

factors, we will combine the approaches of regression and time series analysis, creating

a linear regression model and a time series model, and then taking the mean of their


Statistics of apartment sales during the time period of August 2012 to February 2014 will

be used as data, and when nding the models explicitly, large data handling softwares

such as SPSS, Excel and Matlab will be used. The thesis consists of an introduction

to the general theory behind the two approaches, followed by our specic case. Lastly,

an attempt will be made to draw some general conclusions from our ndings, and the

accuracy of our model will be tested by predicting the selling price of a few apartments

that have been or are about to be sold and comparing the predictions with the actual


Abstract [sv]

I denna uppsats kommer det forsökas att hitta en modell for att förutse lägenhetspriser

i Stockholm innerstad. På senare tid har lägenhetspriserna vuxit stadigt och det har

blivit populärt att investera pengar i lägenheter. Det ar en hög chans att värdet på en

köpt lägenhet ökar, men detta är inte nödvandigtvis normen. Denna uppsats är ägnad

åt att identifiera de faktorer som påverkar försaljningspriset for lägenheter. För att hitta

dessa faktorer kommer analytiska modeller användas och dessa modeller kommer baseras

på statistik av lägenheter sålda mellan augusti 2012 och februari 2014. Modellerna

som kommer användas är linjar regression och tidsserier. Nar modellernas koecienter

och faktorer ska definieras explicit, kommer SPSS, Excel och Matlab anvandas. Efter

att de båda modellerna definierats, kommer medelvärdet av båda modeller representera

predikatorn. Var modells nogrannhet kommer provas genom predikera försäljningspriset

av en lägenhet på marknaden och jämföra detta med det faktiska priset. Förhoppningsvis

kommer denna modell ha tillräckligt hög precision för att forutspå lägenhetspriser resten

av år 2014.

Place, publisher, year, edition, pages
2014. , 82 p.
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-148446OAI: diva2:736615
Available from: 2014-08-07 Created: 2014-08-07 Last updated: 2014-08-07Bibliographically approved

Open Access in DiVA

Robert Hu & Emil Sjögren kandidatexamensarbete. A thesis submitted in partial fulfillment for the degree of Bachelor of Science in Engineering Physics in the Department of Mathematical Statistics.(2895 kB)209 downloads
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