Private Real Estate Investment: Data Analysis and Decision Making
Academic Press | 2005 | ISBN: 0121377512 | Pages: 360 | PDF + CD content | 6.42 MB


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Fiduciary responsibilities and related court-imposed liabilitieshave forced investors to assess market conditions beyond gut level,resulting in the development of sophisticated decision-making tools.Roger Brown's use of historical real estate data enables him to developtools for gauging the impact of circumstances on relative risk. Hisapplication of higher level statistical modeling to various aspects ofreal estate makes this book an essential partner in real estateresearch. Offering tools to enhance decision-making for consumers andresearchers in market economies of any country interested in land useand real estate investment, his book will improve real estate marketefficiency. With property the world's biggest asset class, timely dataon housing prices just got easier to find and use. *Excellent mixtureof theory and application
*Data and database analysis techniques are the first of their kind
*CDROM contains pre-written code for data analysis tailored specifically to real estate settings
Download Description: One long-time problem for investors inresidential real estate has been calculating risk. While commercialreal estate investors have had access to broad and deep sets oftransaction data, those interested in residential buildings have not.The recent availability of private real estate investment data has madepossible new empirical risk analysis tools and conclusions. This is thefirst book to offer a highly mathematical approach to calculating therisks associated with real estate transactions. By means of data setsand intuitive models, Roger Brown shows readers how to frame realestate problems from mathematical and financial perspectives, withexciting and useful results. Non-US readers will find the book valuablebecause its conclusions are relevant and useful in other markets, andits techniques can be applied to existing data.