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Feasibility Analysis Of Hefei X Residengtial Real Estate Investment Project From The Perspective Of Financial Analysis

Posted on:2023-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:S S WangFull Text:PDF
GTID:2569307025992559Subject:Project management
Abstract/Summary:PDF Full Text Request
Real estate has been one of the main engines of economic growth in China for more than 20 years.Over the years,China has been reiterating the stability of land prices,stable housing prices,adherence to one city,one policy,and the implementation of differentiated regulation and control policies in various local real estate markets.The real estate market is also a very risky market,with large policy risks,large price changes and unpredictable prices,large changes in raw material costs,large capital investment,and large environmental impacts.Therefore,before the development of real estate projects,the study of the financial sector is a crucial part.The X residential project to be studied in this paper is located in the new station area of Hefei,Anhui,which will develop in the new energy and chip industry base in the future.In recent years,the new science and technology industry base in the new station area has gradually risen,and the region has continuously introduced BOE,Cigna,Corning and other tens of billions of yuan of panel LCD display production lines and other enterprises,as well as the investment of 1 billion Qingyi optoelectronic high-precision mask plate and other projects,creating a large number of jobs,making the new station area a window of demographic dividend.This paper conducts a feasibility study on the X residential project in the new station area from the financial perspective,aiming to provide a reference for enterprise investment decisions and reduce systemic risks.Firstly,from the macro and micro perspectives,this paper uses literature research method,market research method,questionnaire interview method and other methods to analyze national policies and land and residential markets,and uses multiple linear regression method to predict the annual regional sales volume before the opening of the project,so as to derive the market stock before the project enters the market,and provides reference data for the flow after entering the market.The sales price range of the project was predicted by the time series analysis method,and the average price of the project entering the market was preliminarily judged.After that,according to the construction progress of the project,the capital payment plan,and the product sales plan,the cash flow of the project was formulated,and the profitability of the project was analyzed from a financial point of view.Thirdly,combined with the analysis of uncertainties of the project,the conclusion is feasible from the financial perspective of the project.Finally,it is reminded that risk prevention and control measures should be introduced in time to reduce project risks during the project construction process.The results of the research are as follows: First,the regional development of X residential project has obvious advantages,the transportation is very convenient,and the living facilities are complete.Second,the project planning is positioned as a low-density community,with a small main set type,a lower set price,and a certain sales advantage in the region.Third,the profitability of the project is strong,after the completion of the project,the operating profit can be 412.0205 million yuan,the net profit is 309.0164 million yuan,the internal rate of return IRR of the project = 26.65%(excluding financing),> the industry benchmark discount rate is 12%,and the NPV net present value is14810 > 0,the project is feasible from a financial point of view.Fourth,62% of the planned area of the project sales can reach the break-even point of the project,which is achievable and the project risk is low.Fifth,the financial risk factors of nine types of projects are summarized,and targeted control measures are made.Therefore,from a financial point of view,the X real estate project is viable.
Keywords/Search Tags:multiple linear regression analysis, time series analysis, financial analysis, Financial risk control
PDF Full Text Request
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