Welcome to mathestate!
mathestate is a proprietary set of data driven mathematical analysis tools designed to analyze investments using real data and custom formulas. mathestate and the tools available are free, but before downloading or using the tools be sure to read the legal section. Get started! Click on TOOLS now.
mathestate is divided into a Real Estate and Financial sections. Real Estate follows Roger J. Brown's book Private Real Estate Investment and now links to useful tools presented on the Wolfram Demonstrations Project. The tools run on the free program MathPlayer. Go to Real Estate tools now.
The financial section of mathestate highlights the Levy stable distribution as a tool for examining risk and expectation in the heavy-tailed returns which are seen in financial data. Each page is created with a Mathematica notebook that can be downloaded to examinne the algorithms in detail. A free stable distribution software package supplements the notebooks. Mathematica, however, is not needed to view the site and follow the tutorial on stable distributions. Start Financial tools now!
Site news and updates:
APRIL 21, 2008
The Wolfram Demonstrations Project now has Net Lease Economics available for download.
MARCH 30, 2008
Applying stable laws to the Iowa Electronic Markets, mathestate now offers the 2008 Presidential Election Futures offering a prediction model based on a real auction using real money and updated mathematics.
JANUARY 26, 2008
The Wolfram Demonstrations Project now has Stock Price Probability with Stable Distributions available for download.
NOVEMBER 15, 2007
Announcing a major revision, mathestate now provides two new features. Under the Financial section users can download custom software in the form of Mathematica notebooks. For Real Estate, mathestate now points users to the Wolfram Demonstrations Project. Users can download free MathPlayer from Wolfram Research and run any mathestate demonstration on the Wolfram site.
August 20, 2007Free Financial Market Analysis Software is now available in the Financial section. This software uses an entirely new measure of risk.
Hugh Kelly, CRE, Clinical Associate Professor of Real Estate at The Real Estate Institute of New York University publishes a review of Private Real Estate Investment in Volume 3, No. 90 of The Real Estate Review of NYU.
The book, Private Real Estate Investment, that accompanies mathestate.com is now available from Academic Press. A description of the contents may be found under Resources link on the mathestate.com home page.
Responding to concerns that real estate prices may be in a "bubble" condition, a mathestate tutorial explains how investors and lenders determine the maximum expansion of a bubble. A demonstration assists in determining if the user's transaction or market is nearing the end of a bubble period and how investors anticipate the next level of growth.
Using non-normal stable random numbers, a mathestate tutorial now demonstrates a host of investment "frontiers" (efficient or not) in risk-reward space.
mathestate adds tools that estimate non-normal, Stable distributions. Users can now model tail behavior by specifying Stable parameters using a Mathematica notebook. An expanded discussion of this subject, including a "live" demonstration with financial data, may be found in the Financial section.
Users can now upload their own data, permitting them to analyze market information they have collected from any source using the many econometric tools provided at mathestate.
mathestate launches the most sophisticated real estate investment analysis site available. The first ten tools include: a precise measure of the value of a tax deferred exchange, using a variable holding period to reflect best and worst case returns, partitioning the IRR to distinguish investing from speculating, a way to measure location value and determine the path of progress, a tutorial on non-symmetric probabilities and a way to measure how "honest" a capitalization rate is.