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One of the most difficult aspects of the real estate market is estimating the value of a home. With local market conditions changing all the time, it can be hard to accurately price a property.
An Automated Valuation Model (AVM) is a system for the valuation of real estate that provides a value of a specified property at a specified date, using mathematical modelling techniques in an automated manner. [1] [2] AVMs are Statistical Valuation Methods and divide into Comparables Based AVMs and Hedonic Models.
The RPI is constructed to gauge price movement among non-distressed home sales and excludes sales of foreclosed properties.[1] The RPI has a lag time of about two months as a monthly tracking index. Specific indices are available for specific metropolitan areas, and composite indices are available for the top 10, 20, 30, and 100[2] metro areas.
Simple example If an investor owns 10 shares of a stock purchased for $4 per share, and that stock now trades at $6, the "mark-to-market" value of the shares is equal to (10 shares * $6), or $60, whereas the book value might (depending on the accounting principles used) equal only $40.
The normal distribution is NOT assumed nor required in the calculation of control limits. Thus making the IndX/mR chart a very robust tool. This is demonstrated by Wheeler using real-world data [4], [5] and for a number of highly non-normal probability distributions. [6]
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