<body><script type="text/javascript"> function setAttributeOnload(object, attribute, val) { if(window.addEventListener) { window.addEventListener('load', function(){ object[attribute] = val; }, false); } else { window.attachEvent('onload', function(){ object[attribute] = val; }); } } </script> <div id="navbar-iframe-container"></div> <script type="text/javascript" src="https://apis.google.com/js/plusone.js"></script> <script type="text/javascript"> gapi.load("gapi.iframes:gapi.iframes.style.bubble", function() { if (gapi.iframes && gapi.iframes.getContext) { gapi.iframes.getContext().openChild({ url: 'https://www.blogger.com/navbar.g?targetBlogID\x3d30670461\x26blogName\x3dReliance+SEZ+and+India+Real+Estate\x26publishMode\x3dPUBLISH_MODE_BLOGSPOT\x26navbarType\x3dBLUE\x26layoutType\x3dCLASSIC\x26searchRoot\x3dhttps://reliancesez.blogspot.com/search\x26blogLocale\x3den\x26v\x3d2\x26homepageUrl\x3dhttp://reliancesez.blogspot.com/\x26vt\x3d9160788138742196388', where: document.getElementById("navbar-iframe-container"), id: "navbar-iframe" }); } }); </script>

Home

Property Forum

ICICI SBI Credit Card

Dalal Street


Residential price prediction - Regression Model

Thursday, August 28, 2008

Using nonlinear multi variable regression approach to developing a model for predicting change in residential property prices in India. JP Morgan has developed a model which uses Nominal GDP growth and rate of change in housing prices (second order effect) as the key input variables. Model takes the form,

Residential Real Estate Prices Trend in India using Mathematical Models
Since predictions are very close to actuals in the past 25 years, expect at least 20% fall in FY 2009.

0 Comments:

Post a Comment

<< Home