An Empirical Study on Short-term Causality Between Real Estate Policy and Real Estate market price

2021 ◽  
Vol 44 (2) ◽  
pp. 123-143
Author(s):  
Hyun Ju Kang ◽  
Deok Hee Hahn
Keyword(s):  
Real Estate ◽  
Empirical Study ◽  
Market Price ◽  
Real Estate Market ◽  
Short Term

scholarly journals An Empirical Research on Shinepukur Holdings Ltd: Strategy, Accounting, Ratio, Sensitivity and Prospective Analysis

2017 ◽  
pp. 83-92
Keyword(s):  
Real Estate ◽  
Operating Performance ◽  
Market Price ◽  
Balance Sheet ◽  
Real Estate Industry ◽  
Strategy Formulation ◽  
Short Term ◽  
Income Statement ◽  
Point Analysis ◽  
Day By Day

This paper examines how Shinepukur holdings ltd is going well or not? The major operations of the company are related to the development of lands and building apartments. Its operating performance is now going down because of the inefficient strategy formulation. The company cannot use its resources in full swings. Real estate customers purchase land or apartments on credit. Sometimes they fail to pay with in due time. Identifying the projects which customers will pay their credit within short term is important in this business. This policy is not followed by shinepukur. Moreover Managers had taken some unprofitable projects which brought negative return for the company. The company’s core businesses are Apartment project and Land project. Competition in real estate industry is increasing day by day. After du-point analysis, we have found that company’s performance is very much sensitive to its profit margin. In the valuation part we have found the company’s present of equity per share is negative where share market price is 28.50 taka in the last trading day of 2015. This figure indicates market price of share is overvalued. Investors should not buy this company’s share. In prospectus analysis we have made forecast for next three years income statement, balance sheet, cash flow statement on the basis of common size statement analysis.

scholarly journals Prediction of China’s Housing Price Based on a Novel Grey Seasonal Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dayin Li ◽  
Lianyi Liu ◽  
Haitao Lv
Keyword(s):  
Real Estate ◽  
Prediction Models ◽  
Housing Prices ◽  
Market Price ◽  
Housing Price ◽  
Real Estate Market ◽  
Accurate Prediction ◽  
Price Changes ◽  
New Information ◽  
Seasonal Model

The fluctuation of real estate prices has an important impact on China's economic development. Accurate prediction of real estate market price changes has become the focus of scholars. The existing prediction methods not only have great limitations on the input variables but also have many deficiencies in the nonlinear prediction. In the process of real estate market price forecasting, the priority of data and the seasonal fluctuation of housing price are important influencing factors, which are not taken into account in the traditional model. In order to overcome these problems, a novel grey seasonal model is proposed to predict housing prices in China. The main method is to introduce seasonal factor decomposition into the new information priority grey prediction model. Two practical examples are used to test the performance of the new information priority grey seasonal model. The results show that compared with the existing prediction models, this method has better applicability and provides more accurate prediction results. Therefore, the proposed model can be a simple and effective tool for housing price prediction. At the same time, according to the prediction results, this paper analyzes the causes of housing price changes and puts forward targeted suggestions.

scholarly journals ANALYSIS OF PRICING FACTORS IN REAL ESTATE MARKET

2019 ◽  
Vol 6 (2) ◽  
pp. 79-85
Author(s):  
Maria Chernyshova ◽  
Arina Malenkaya ◽  
Tatyana Mezhuyeva
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Market Price ◽  
Real Estate Market ◽  
Physical Factors ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Pricing Factors ◽  
Real Estate Prices

In the real estate market price depends on supply and demand is formed under the influence of social, economic and physical factors. The article presents the results of the analysis of pricing factors in the real estate market, the forecast of real estate prices in 2019.

scholarly journals Estimating the optimal market price to sell an apartment

2018 ◽  
Vol 18 (4) ◽  
pp. 319-327
Author(s):  
Carlos Alexandre Camargo de Abreu
Keyword(s):  
Real Estate ◽  
Real Option ◽  
Net Present Value ◽  
Market Price ◽  
Real Estate Market ◽  
Point Of View ◽  
Valuation Theory ◽  
Analysis Model ◽  
Optimal Price ◽  
Real Option Valuation

Abstract This paper demonstrates an investment economic analysis model based on Real Option Valuation Theory applied to decision-making of individual real estate investors. The model captures the valuation of flexibilities caused by expected market trend and uncertainty and offers an optimized value for the investment opportunity. A Real Option for investment delay is used applied to the case of postponing the selling of an apartment until the estimated "best" optimal market price and option value. Application of the model is made using market data from three Brazilian major cities' real estate market. As an important finding we have the estimation of an expanded Net Present Value for the investment when apartment selling is exercised at the optimal market price defined. It is possible to use this model to forecast what would be the optimal price and moment to sell an apartment in an investor point of view.

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