Define and analyze a business problem within your company/industry or pretend company/industry with which you are familiar and for which you can provide a solution using quantitative methods.Because many actual business problems are more complex than others feel free to simplify your business problem, if necessary. Here is what your project should include:
1. An explanation/definition of the business problem
2. An explanation of the quantitative method you will be using to analyze the problem and why that method is appropriate.
3. Spreadsheets and/or other documentation to show your data, analysis and solution.
4. A conclusion, discussion, and application for your results.
Please find the attached file. Hope this will help. Thanks
FORECASTING THE REAL ESTATE VALUE: METHODOLOGY USING REGRESSION ANALYSIS
The durability, fixity and heterogeneity of attributes in real estate properties leads to not only costly search to uncover the prices and attributes of property but also high transaction costs in real estate market as compared to financial markets and other commodity markets. The many frictions associated with the purchase of real estate makes it hard to assess the correct value of the warehouse space. However, the prior research has provided enough evidence that there exists a price signal both in time and space to make the forecasting of real estate prices possible.
Assessing the correct value of the real estate is an important problem for everyone concerned with the property exchange be it the buyer, the seller or the broker's. Real estate is a heterogeneous asset wherein the specifications are so diverse that it is not easy to identify the comparables to assess the correct value of the property based on the value of the comparables. Even when such information is available the traditional methods of valuation make use of such information arbitrarily, whereas there are sophisticated statistical processes available, which could make full use of the available information. Although the implementation of statistical methods require some understanding of statistics / mathematics and sufficient amount of right data, it could provide substantially better assessment of the value of the real estate.
Multiple regression analysis can be used to assess the value of a property by developing price as a function of the characteristics of the property. The method provides the process of assessment the attributes of equity and efficiency. By equity we mean that the properties with same characteristics are valued at the same price. By efficiency we mean that the method is able to value the property at its fair market value. Although there are more sophisticated statistical approaches available to predict the value of a property, the multiple regression analysis is straightforward and simple to use. One can perform the regression in MS-Excel and there is no need for any specialized software package to do the analysis.
This paper demonstrates the use of multiple regression analysis to forecast the warehouse prices. The data for the paper is collected from the recently closed real estate deals in the local market. The issue of whether a regression model formulation suffices for such purpose is discussed and the level of predictive accuracy achieved by it to warrant its application in predicting the future deal values.
2. Model Development
To develop the model for estimation of price for warehouse space, we need to look at the possible factors, which may affect the warehouse price. Drawing our knowledge from the microeconomics ...
Word document outlines a problem with real estate price estimation and gives an analysis.