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...
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Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling
2011
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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 |
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English |
format |
Others
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sources |
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forecast house prices real estate prices stockholm behavioral economics behavioral finance price bubble prognos huspriser bostadspriser stockholm beteendeekonomi prisbubbla Economics Nationalekonomi Econometrics Ekonometri |
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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_ |
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