Study On Real Estate Batch Appraisal Technology Based On Income Method

Along with the rapid development of China’s economy,the real estate market has grown and matured,and the position of real estate in the national economy has become increasingly important.In recent years,due to the impact of macroeconomic policies,real estate policies and the continuous development of the real estate market,real estate prices often fluctuate considerably.At the same time,the purchasing power of residents is seriously decoupled from housing prices,and the housing prices and real estate industry are highly controversial.With the emergence of real estate mortgages,compensation for demolition,long-term rental apartments,and real estate taxes that have been on the agenda in recent years,the government and the public have generated large-scale assessments of the real estate industry.Therefore,the establishment of a scientific and reasonable real estate appraisal system has become the primary responsibility of the current real estate appraisal industry.As a traditional method of real estate appraisal,the income method is an important reference method for evaluating various types of real estate.Because of its clear ideas and simple operation,it has been widely respected since its appearance.At the same time,how to solve the choice of the parameters of the income method(expected income and capitalization rate)in practice is also an important issue to be solved urgently in the real estate appraisal work.Based on the traditional income method,this paper introduces multiple regression analysis technology and adds more comprehensive characteristic variables to evaluate the expected income.It can more accurately calculate the hidden price of each characteristic element in housing rent.Introduce the reliability theory to estimate capitalization.Rate,the calculated capitalization rate can also be reasonably dynamically adjusted;making the improved income method greatly eliminates the subjective factors of artificial estimation.This paper is divided into six chapters:The first chapter is the introduction,expounding the research background and research significance of the current real estate batch evaluation and the innovation of the paper.The second chapter is a review of domestic and foreign literatures,systematically summarizing the progress of theoretical and empirical research on batch evaluation at home and abroad,and on this basis,further summarizes the research literature on the evaluation of real estate by income method.The third chapter briefly introduces the basic principles and basic formulas of the traditional income method.Through analysis,it is found that the traditional income method has two major defects:the subjectiveness of the expected income amount and the fixed capitalization rate.The fourth chapter introduces multiple regression analysis based on the third chapter,selects a total of fourteen characteristic variables and discusses its quantitative criteria to estimate the rent of the house in batches,and introduces the reliability theory to estimate the capitalization rate(ie,the discount rate).In order to successfully construct a real estate batch evaluation model based on the traditional income method.The fifth chapter is the case analysis.On the basis of the fourth chapter,based on the sample of 249 houses in 37 communities in the vicinity of Kunming city center,the Kunming real estate batch evaluation model is constructed,and the randomly selected 8 groups of real estate data are tested.The analysis results show that the batch evaluation model established in this paper is applicable to Kunming.The sixth chapter is the conclusion and outlook.It summarizes the full text,especially on the basis of summarizing the batch evaluation model constructed.