Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables

Purpose of the research: The purpose is to forecast the future trend of housing prices in Stockholm County 2011-2014 based on estimated slope coefficients of selected explanatory variables 1993-2010. Thereafter, the obtained forecast will be discussed with respect to other non-quantifiable concepts...

Full description

Bibliographic Details
Main Authors: Strömberg, Peter, Hedman, Mattias, Broberg, Madeleine
Format: Others
Language:English
Published: Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling 2011
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12600
id ndltd-UPSALLA1-oai-DiVA.org-mdh-12600
record_format oai_dc
spelling ndltd-UPSALLA1-oai-DiVA.org-mdh-126002013-01-08T13:32:30ZForecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variablesengStrömberg, PeterHedman, MattiasBroberg, MadeleineMälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling2011forecasthouse pricesreal estate pricesstockholmbehavioral economicsbehavioral financeprice bubbleprognoshuspriserbostadspriserstockholmbeteendeekonomiprisbubblaEconomicsNationalekonomiEconometricsEkonometriPurpose of the research: The purpose is to forecast the future trend of housing prices in Stockholm County 2011-2014 based on estimated slope coefficients of selected explanatory variables 1993-2010. Thereafter, the obtained forecast will be discussed with respect to other non-quantifiable concepts within behavioral economics. Method: Multiple regression technique with a deductive and explorative approach. Empirical data: Quantitative. Conclusion: The future trend of housing prices in Stockholm County has been forecasted to be positively sloped throughout all the years 2011-2014, but in 2011, the forecast reveals that the increase of house prices will taper off. Nevertheless, behavioral economics reveals some insights about the trend on the housing market and that the house prices might include a portion of abnormal returns. Syfte: Syftet är att förutse den framtida utvecklingen av bostadspriserna i Stockholms län 2011-2014 baserade på beräknade lutningskoefficienter av valda förklaringsvariabler 1993-2010. Därefter kommer den erhållna prognosen att diskuteras i förhållande till andra icke-kvantifierbara begrepp inom beteendeekonomi. Metod: Multipel regressionsteknik med en deduktiv och explorativ strategi. Empirisk data: Kvantitativ. Slutsats: Den framtida utvecklingen av bostadspriserna i Stockholms län har beräknats ha en positiv lutning inom samtliga år 2011-2014, men under 2011 visar också prognosen att ökningen av huspriserna kommer att avta successivt. Icke desto mindre avslöjar beteendeekonomi vissa insikter om utvecklingen på bostadsmarknaden och att huspriserna kan innehålla en andel abnorm avkastning.  Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12600application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic forecast
house prices
real estate prices
stockholm
behavioral economics
behavioral finance
price bubble
prognos
huspriser
bostadspriser
stockholm
beteendeekonomi
prisbubbla
Economics
Nationalekonomi
Econometrics
Ekonometri
spellingShingle forecast
house prices
real estate prices
stockholm
behavioral economics
behavioral finance
price bubble
prognos
huspriser
bostadspriser
stockholm
beteendeekonomi
prisbubbla
Economics
Nationalekonomi
Econometrics
Ekonometri
Strömberg, Peter
Hedman, Mattias
Broberg, Madeleine
Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables
description Purpose of the research: The purpose is to forecast the future trend of housing prices in Stockholm County 2011-2014 based on estimated slope coefficients of selected explanatory variables 1993-2010. Thereafter, the obtained forecast will be discussed with respect to other non-quantifiable concepts within behavioral economics. Method: Multiple regression technique with a deductive and explorative approach. Empirical data: Quantitative. Conclusion: The future trend of housing prices in Stockholm County has been forecasted to be positively sloped throughout all the years 2011-2014, but in 2011, the forecast reveals that the increase of house prices will taper off. Nevertheless, behavioral economics reveals some insights about the trend on the housing market and that the house prices might include a portion of abnormal returns. === Syfte: Syftet är att förutse den framtida utvecklingen av bostadspriserna i Stockholms län 2011-2014 baserade på beräknade lutningskoefficienter av valda förklaringsvariabler 1993-2010. Därefter kommer den erhållna prognosen att diskuteras i förhållande till andra icke-kvantifierbara begrepp inom beteendeekonomi. Metod: Multipel regressionsteknik med en deduktiv och explorativ strategi. Empirisk data: Kvantitativ. Slutsats: Den framtida utvecklingen av bostadspriserna i Stockholms län har beräknats ha en positiv lutning inom samtliga år 2011-2014, men under 2011 visar också prognosen att ökningen av huspriserna kommer att avta successivt. Icke desto mindre avslöjar beteendeekonomi vissa insikter om utvecklingen på bostadsmarknaden och att huspriserna kan innehålla en andel abnorm avkastning. 
author Strömberg, Peter
Hedman, Mattias
Broberg, Madeleine
author_facet Strömberg, Peter
Hedman, Mattias
Broberg, Madeleine
author_sort Strömberg, Peter
title Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables
title_short Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables
title_full Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables
title_fullStr Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables
title_full_unstemmed Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables
title_sort forecasting the house price index in stockholm county 2011-2014 : a multiple regression analysis of four influential macroeconomic variables
publisher Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling
publishDate 2011
url http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12600
work_keys_str_mv AT strombergpeter forecastingthehousepriceindexinstockholmcounty20112014amultipleregressionanalysisoffourinfluentialmacroeconomicvariables
AT hedmanmattias forecastingthehousepriceindexinstockholmcounty20112014amultipleregressionanalysisoffourinfluentialmacroeconomicvariables
AT brobergmadeleine forecastingthehousepriceindexinstockholmcounty20112014amultipleregressionanalysisoffourinfluentialmacroeconomicvariables
_version_ 1716523450297745408