西安市商品房价格趋势的分析及其预测

西安市商品房价格趋势的分析及其预测

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时间:2019-11-15

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1、ResearchandForecastforInfluencingofRealEstatePriceinXiSnSpecialty:AppliedMathematicsPostgraduate:ChenBoInstructor:A.P.WangJianguoAbstractTherealestateisapillarindustryofournationaleconomyindustry,anditsdevelopmentscaleandspeedhasgreatsignificancefortheintegrityoftheentireeco

2、nomyrunning.Thehousingpricesistheindicatorofnationalgovernmentdepartmentsforthemacro-controlandmanagement.Therefore,startingfromtherealestatepricestofindthecorrelationbetweentheresidentialrealestatepricesandtheirimpactofvariousfactors,quantitativeanalysisoffactorsaffectingth

3、erealestatepricemovements,tograspthechangesintrendsinthetimingofrealestatepricesandthescientificprediction,whichreasonablydeterminerealestateprices,andtoguideChina'smacro-control,topromotetherealestatemarketsteadyandhealthydevelopmentofgreatsignificance.Therearemanyfactorsto

4、impactthepricesofrealestate、suchaseconomicfactors,socialfactors,anddemandfactors,andthegovernmentsmacro-controlisoneoftheimportantfactor.Onthecharacteristicsoftherealestateprices,thepaperfirst,theformationofanexplanationofmechanismanditsinfluencingfactors,andrealestateprices

5、onthebasisoftherealestatepricechangesintheprocessofitsformation;Second,throughanalysisandresearchontheimpactfactorsofrealestateprices,manyfactorsintheregressionmodelcanaffectthepricesoffactoranalysis,analysisofthepolicyfactorsinfluencetherealestatemarket,sothepolicyfactorsin

6、troducedasadummyvariableintheregressionmodel,toproducebetterresults;Third,theuseofGM(1,1)modeltopredictonthebasisofcommercialresidentialhousingpricesinXi'an,thisideaofthepolicyfactorsintheregressionmodelasdummyvariables,dummyvariablesintotheGM(1,1)predictionmodeltogo.Finally

7、,byaddingadummyvariablegrayGM(1J)predictionmodelcalculationmethodasaresearchtool,andusetheEviewseconomicssoftwareandMatlabsoftwaretocalculateandanalyze•ThispaperbasedonthemodeloftheempiricalanalysisofXi'ancityhousingprice,andwithadummyvariablegraypredictionmodelappliedtothep

8、redictionofrealestatepricesinXi'an,betterresultsverifythefeasibilityofthegr

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