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Latest Competition Analysis for Home Value Predictor

January 24th, 2011  |  Published in Housing Market  |  112 Comments

Latest Competition Analysis for Home Value Predictor

A Forecasting:

1) Cyberhomes – Article on at http://blog.sellsiusrealestate.com/marketing-tips/cyberhomes-new-real-estate-market-report-forecasts-home-values/2009/06/02/ A $3.99 and $9.99 Macro Market forecasts at the Macro Market level. ALL Macro Markets have a population of over 50,000 people, and are NOT homogeneous, and NOT composed of similar dwelling. The variance of a Marco Market forecast to any local forecast has an error of 20-70%. That is, even is the Marco Market forecast is 100% accurate, which is not true, since all forecasts have an error of at least 2%. Even if the Marco Market forecasts are 100% accurate at the Market level, it is off by at least 22% at the local block level. A statistical fact.

Without going into complex analysis, just look at any large city, NY or LA, for example. Is the median income of ALL of LA the same as yours? Or the same as the median income in your block? Are all the home is LA the same?

Cyberhomes is owned by Lender Processing Services (LPS) and these reports are now only available from LPS. LPS blends a Macro Market forecast with local REO trends. Their stated formula is: Net Forecast REO value – Forecast Macro Market trend + local REO discount rate + REO costs.

2) Case-Shiller – Case-Shiller has forecasts of the Marco Markets. Some sold at www.Economy.com. Case-Shiller is owned by Fiserv, and Case-Shiller only covers some of the Marco Markets. http://www.housingwire.com/2008/09/03/fiserv-rolls-out-case-shiller-updates Their system is based upon sales, and no local data.

3) Veros Real Estate Solutions (VRES) has limited Marco Market forecasts.

Conclusion: No current vendor has local (Block, Tract, or Zip Code) forecasts or confidence levels.

B Local Trends:
To date, I have not found any source that has local block, tract, or Zip Code treads, other than that of property based data. Listings, price, foreclosures, etc. With no data on what are the top 10 factors that HAVE historic price movements, or WILL, for example.

C Query Interface
Current query interface, is pretty basic, and based upon property searches. Search for number of 2 bath homes in location X for example. With very little effective filtering system based upon local data, trends, or forecasts. And no system to compare areas, at any local level.

It is noted, that even with an accurate forecasting system at the Block level, this still is not enough for the investor to find a deal, or the banker to assess proper risk. What is needed is a weighted search system, defined by the user. Since everyone is different, and has different needs. Or first latest go of this is adapted from our maps. Starting with simple two criteria, and growing into a more advance interface.

CONCLUSION:
Thus even if the competition has a 100% accurate forecasting system at the Block Group or property levels, these firms and portals, do not supply local trends of core components that affect price changes. Nor a user interface, to find the right local area to invest in or deal, with a selection back by statistical confidence and true local trends.

This is about to change.

Your comments are appreciated.
Eddie G

Why Home Value Predictor was launched and my new USP

January 22nd, 2011  |  Published in Housing Market  |  3 Comments

My name is Eddie Godshalk, founder of Home Value Predictor.
The core problem in real estate and real estate information providers, is that they relied, and rely on, Macro Markets forecasts, combined with property data. The Marco Markets, are very large areas, like all of LA, for example. And the Macro Market trends have very little correlation to what is happening in any Micro, or local Block Group market.

No real estate professional, from the appraiser to the title companies, has current local trends or forecasts at the Micro Market level – at the Block Group, Census Track, and Zip Code levels.

This lack of current information caused the financial crisis and housing crisis.

Home Value Predictor has developed delivery systems to address the problem, with dynamic maps, and forecasts with statistical confidence levels for each of the 300,000, yes 300,000 Micro Markets in the USA.

We are looking for investors and partners, to grow revenues quickly. Who do you know?

How to build an accurate Block Group 24-Month Forecasting System – STEP 1

January 17th, 2011  |  Published in Housing Market  |  123 Comments

The first step in building an accurate Block Group Forecasting System is to determine the type of predictive model you want developed. There are many things you need to consider when building a predictive model, and these include:

What outputs do you want? For example, Do you want to predict the future price changes (forecast) or future growth, or some other output? In our system, we focus on forecasts at the Block level, with statistical confidence numbers for each forecast. If you are looking for a different output, you will need to adjust your system.

At what level do you want your outputs? Do you want to build a predictive model for a Macro Market? A Macro Markets predictive model for: a Country (national level), a MSA (Metropolitan Statistical Area), a CBSA (Core Based Statistical Areas), or County? Or for Micro Markets like: Census Tracts, Zip Codes, or Block Groups? And the more local the predictive model, the more expensive is the raw data, and the more time consuming is the development of building the model. So determining the output is important.

What time line? Do you want to build a predictive model for 24-days or 24-months? This question is important, since typically it takes twice as much raw data for a predictive model. That is, if you want to build a predictive model for 24-months, your development team will need 48-months of raw data of historic monthly and/or quarterly data.

Do you want statistical confidence numbers for your forecasts? Statistical confidence numbers are determined by back-testing, and statistical confidence numbers are important to some businesses, since forecasts are part of the decision making process. Statistical confidence numbers are measures of “trust.”

Once you have determined the type of predictive model you want to develop, you can go to the Step 2. The next steps, we will discuss for those who choose to opt-in.

Best wishes
Eddie Godshalk, founder of Home Value Predictor
www.HomeValuePredictor.com

Partners / Credit Partners / Investors needed for GREAT Business!

December 29th, 2010  |  Published in Housing Market  |  153 Comments

Have you ever wonder if you are making a smart real estate investment decision? Or wondered what is really going on in your local market, block, or Zip Code? And just wished you had a crystal ball into the future? And if you had, such a crystal ball, how would you use it? www.HomeValuePredictor.com delivers the most current local information available anywhere, and Block Group forecasts.

After years of development, and back-testing, using unique expensive data inputs, we have developed multiple systems and predictive models. These data inputs are currently not available to Realtors, appraiser, or banks. Nor local treads. And not free. Click the maps icon, to see your dynamic maps, is close to being ready for prime time.

I invite your comments and feedback.

Contact: Eddie Godshalk
Phone: 408-256-7765
Email: valuepredictor@gmail.com
www.HomeValuePredictor.com/blog
http://twitter.com/Eddie_Godshalk
http://www.linkedin.com/in/eddiegodshalk

Launching New site – intro to Home Value Predictor

December 28th, 2010  |  Published in Housing Market  |  60 Comments

At Home Value Predictor we deliver 2 sets of systems. The first system is a 3-Step System the Macro Market Location Analyzer. It is important to know the latest trends, forecasts, and data information for the City or County your are going to invest in. However, I do not know anyone who has ever purchased a City or County, we at Home Value Predictor, we do not emphasis this.

And mathematically and statistically Macro Economic, and Macro data information has HUGE errors, compared to the Micro Market or Block Group data information.

Many real estate professionals are not aware of these errors, so I have included some charts and Tables. You can see these charts and download them as well, and see for yourself. The most current local information is ALWAYS more valuable and important.

After all, it is Location-Location-Location, Right!
Which actually means: Block Group – Census Tract – Zip Code.
And the latest changes within these 3 Micro Markets, are what matters most, to the Future.
And your Future investments and returns.

What do you think of this design? For Home Value Predictor?

April 6th, 2010  |  Published in Housing Market  |  50 Comments

new HP 4 6 2010

Intro to: The Missing Keys to Thriving in Any Real Estate Market

August 17th, 2009  |  Published in Housing Market  |  202 Comments

The book you hold in your hands can assure your success as a real estate professional. It offers you an amazing insight into the landmines which are in large part responsible for the real estate debacle we see now and it also introduces you to a never before available tool – The Home Value Predictor. This tool will give you micro data at the local level, both historical and predictive, that will set you apart as a savvy and super informed professional.

Clearly we are in unprecedented times. The good news is, there are opportunities available today that have never existed before. If you are one of the ones who has access to the tools that will help you take advantage of those opportunities, you can create your own financial legacy and assure well being for yourself and your loved ones.

To many, this may seem like the worst time to consider real estate investing, especially given the latest doom and gloom headlines. Having thrived in the real estate industry for over 20 years, I can honestly say things have never been this challenging. Realtors, builders, lenders and even the average buyer and seller feel the pain, as they worry about an uncertain future.

Like many, I can’t help but ask: Why didn’t more people and industries foresee the major 2007-2008 real estate declines in local markets? And how did it happen that seriously deficient mortgages have affected Wall Street and credit issuers all across the nation, and indeed the world?

The answers are varied, but they do have one common denominator – incomplete and/or inaccurate information which resulted in erroneous assumptions.

We’ve learned how mortgages were bundled into traunches and rated. The bundling of variously rated mortgages together was expected to have greatly reduced risk overall of mortgage backed securities. However, the fundamental premise of this bundling was seriously flawed. And now we see the ripples in the pond, as these securities fail to perform as promised.

As investors we wonder: Will house prices continue to drop? As of this writing, many experts believe they will. Indeed, famed Professor Shiller of Princeton (co-founder of the Case-Shiller housing index) believes housing prices still have a huge downward turn in store. What is still overlooked, however, is that even today’s best analysts are using failed data, so their predictions are suspect.

In 2007 prices fell nationally more than 5%. There are millions of vacant properties in the United States. Although foreclosure rates have already doubled (from 2006 to 2007), in parts of California and other former “hot spots,” it’s just the tip of the iceberg. Industry experts predict between 1.3 and 1.5 million foreclosures by the end of 2009 due to sub-primes and Alt-A’s. This will further increase excess housing inventory and force prices even lower—by as much as 10 to 15%. Going forward, there is yet another round of resets scheduled to hit in mid-2010 and beyond.
1
Prior to its acquisition by Bank of America, Countrywide slashed its payroll by 12,000 individuals and tapped emergency reserve credit lines to help weather the storm. All but one of the large publicly traded builders posted losses in 2007.

In response, many builders have slashed both prices and work forces to compensate for falling demand. Some industry analysts predict that 54% of workers in the building industry will lose their jobs before the crisis is over. And we’re probably only half way through the correction as of 2009. In the end, this will likely be the largest housing correction since the Great Depression.

Like others, I am not without trepidation. Real estate is my livelihood. In 2005, I had to hire staff just to keep up with emails and answer phones, which never seemed to stop ringing. Today, like most real estate professionals, I pound the pavement and am simply grateful to hear the phones ring!

You might be asking: Who wants to buy when house prices are falling? Or invest in a MBS (Mortgage Backed Security) when the asset is declining and the expected yield is at huge risk? The question to consider is: what is the true yield of any asset when it is declining in value, and does the current risk matrix take true local risk into account?

Most importantly, are the risk analysts relying on historically false assumptions? To compound the global uncertainty, buyers do not feel safe in their jobs, lenders are reluctant to lend, and the rules of obtaining any kind of credit are changing almost daily.

The real estate market is not a mystical concept. Or is it? Like the stock market, real estate is predictable within a very specific range, when there’s access to currently accurate, reliable and relevant information available.

The key question is: But what is this range? When a database is ample enough to let us collect, sort, and filter economic and market information related to hyper local areas, including price movement, it is possible to identify profitable opportunities in any investment environment—even during a massive correction like the one we are currently in.

To thrive in any investment environment, what is needed is a real estate tool unlike any yet seen and far more advanced than the simple Automated Valuation Models currently touted as the “optimal tools of our time.” The Home Value Predictor is that tool.

Now for the good news. With the continuing flood of foreclosures and an already massive inventory, this is an excellent time to invest in real estate. To do that successfully, however, you need a tool that can sort, filter and ultimately analyze the most current information to help identify profitable properties at the hyper local level.

The media tells us that the market is in a complete melt down. Yet, five million homes were sold in 2007. And in 2009 many of the sold homes were sold as short sales (meaning the lenders agreed to take a lesser payoff than the mortgage called for.) This provided fantastic opportunities for savvy investors or buyers. Even if we assume that only 1% of those sales were genuine profit opportunities, it means that 50 thousand units transacted represented ample profits.

This book is not about lists of available foreclosed homes. Nor it is about current deals, or how to make you feel like you have just attended a Tony Robins seminar.

Rather, this book is about the creation of an accurate analytic system – the Home Value Predictor – which is a tool that lets you, as a real estate professional or buyer, understand a property (and its immediate local market) from the micro ground level up.

The information you hold in your hands provides a comprehensive understanding of factors that WILL influence a property’s present and future value – and therefore assure your success in the market.

This book has two parts. Part I will explain why the market is crashing on all fronts, and Part II will afford a solution that will help you thrive in any local market, armed with detailed and comprehensive current local information.

Opportunities are prevalent, but you must know where to look. What the mass media overlooks, and where you can profit, are the still very stable “micro-climates,” where foreclosure rates are low, job stability is high, and school districts are sound.

What many of us are up against is that the media generally tends to overlook these possibilities in the current climate. The reason is simple. The media, like many consumers, only has access to free information and the free information is historically faulty or incomplete.

If lenders had access to the most current, relevant, reliable and accurate information, at a hyper local level, there might not be almost 18 million vacant housing units, today’s record foreclosures and a looming sub-prime loan crisis that could literally drag the entire economy into depression.

It all comes back to the data. While a great deal of local property data is available and free, this data is not sufficient in its current form to accurately predict the soundness of a real estate investment.

In this book, you will learn what went wrong and why. We will analyze the role that builders and lenders played in the current crisis. I will also review our current real estate tool options and why they failed to help us predict this entire mess. Finally, you will learn what the ideal real estate tool looks like (the Home Value Predictor) and how it can help any real estate professional, investor, or buyer thrive in this or any market.

The fact is that real estate represents a growing portion of many of our investment portfolios. Its importance will grow in the coming years as more institutional investors
re-enter the market and begin to thrive once again.

Now, just imagine that you had a tool that could zero in on the most profitable stock opportunities in the coming year—and that it actually worked.

This book introduces just such a tool as applied to real estate and our intent is to help you grasp its power, precision and reliability. Our goal is that this tool will guide investors through the complex world of real estate like never before. Anyone using this tool will become an instant expert with all the latest, most relevant and most accurate micro local economic and market information available, with a means to make sense of it. And you, as a user of this tool, can guarantee yourself a very prosperous future.

Finally, our tool is designed to let you know the future value changes down to the Census Block Group level.

This is my passion, and why I wrote this book. What began as a graduate school project for me soon turned into an obsession that has inspired me for the past several years. With this tool, I am confident than anyone can thrive even during these hard times and in any market.

Now, let’s learn what really affects home values and determines price movement.

6wndhe3ua2

August 17th, 2009  |  Published in Housing Market  |  149 Comments

False Assumption 4: Appraisals and MLS information are adequate to assess local risk and make a buying decision.

August 16th, 2009  |  Published in Housing Market  |  46 Comments

Home buyers and investors often make their home purchase and property investment decisions based solely on appraisals and MLS-based information about housing prices. They assume that those sources provide accurate and reliable information that reflects the true market value of the properties they intend to buy, and all relevant current local information. However, this assumption is very incorrect.

Appraisers have been under tremendous pressures from mortgage brokers to overstate home values. These pressures were especially evident during the past decade, given the exceptionally aggressive mortgage lending that lead to the creation of the housing bubble. As appraisers receive over 95 per cent of requests for their services from mortgage brokers, it is obvious that many succumb to the pressures and artificially inflate housing prices. Moreover, appraiser can inflate home values by ignoring problems or comparing appraised homes with inappropriate comparators. As a result, if they rely on appraisals alone, home buyers may actually pay more for a home than what a home is actually worth. And in fact, many buyers actually did.

The Home Value Predictor™, which looks at current local socio-economic, demographic, and financial forces behind the changes in home values at the block level, is thus a more reliable indicator of actual values of homes at any particular time in any specific local market. It is also more useful as a decision-making tool than the information provided from appraisers or MLS sources because it offers a perspective into future trends in housing prices.

More in my new book The Missing Keys to Thriving in Any Real Estate Market

As always, appreciate your comments and feedback.

False Assumption 3: The system of Gaussian copula function was adequate and reduced risk of MBS.

August 11th, 2009  |  Published in Housing Market  |  138 Comments

The Gaussian copula function, developed in early 2000s by the mathematician David Li, appeared for many financial institutions as an excellent tool to standardize and simplify the risk assessment process. This regression model allowed for complex risks to be modeled into a simple function that made it easy for credit analysts to determine the risk in a pool of securities. Adopted by credit rating agencies and even regulators, the model quickly became widespread. However, the simplification of the conventional due diligence process ignored various risks inherent in the securities. These risks accumulated over time and consequently lead to the greatest financial meltdown in the modern history.

For those who want more detailed analysis, a good article on this is at Wired Magazine. http://www.wired.com/techbiz/it/magazine/17-03/wp_quant?currentPage=all

More in my new book The Missing Keys to Thriving in Any Real Estate Market

As always, appreciate your comments and feedback.

Previously


Jan 22, 2011is:
Why Home Value Predictor was launched and my new USP

by Eddie | Read | 3 Comments

My name is Eddie Godshalk, founder of Home Value Predictor.
The core problem in real estate and real estate information providers, is that they relied, and rely on, Macro Markets forecasts, combined with property data. The Marco Markets, are very large areas, like all of LA, for example. And the Macro Market trends have very [...]


Jan 17, 2011is:
How to build an accurate Block Group 24-Month Forecasting System – STEP 1

by Eddie | Read | 123 Comments

How to build an accurate Block Group 24-Month Forecasting System – First step in our 14 step system.


Dec 29, 2010is:
Partners / Credit Partners / Investors needed for GREAT Business!

by Eddie | Read | 153 Comments

Have you ever wonder if you are making a smart real estate investment decision? Or wondered what is really going on in your local market, block, or Zip Code? And just wished you had a crystal ball into the future? And if you had, such a crystal ball, how would you [...]


Dec 28, 2010is:
Launching New site – intro to Home Value Predictor

by Eddie | Read | 60 Comments

At Home Value Predictor we deliver 2 sets of systems. The first system is a 3-Step System the Macro Market Location Analyzer. It is important to know the latest trends, forecasts, and data information for the City or County your are going to invest in. However, I do not know anyone who [...]


Apr 6, 2010is:
What do you think of this design? For Home Value Predictor?

by Eddie | Read | 50 Comments


Aug 17, 2009is:
Intro to: The Missing Keys to Thriving in Any Real Estate Market

by Eddie | Read | 202 Comments

The book you hold in your hands can assure your success as a real estate professional. It offers you an amazing insight into the landmines which are in large part responsible for the real estate debacle we see now and it also introduces you to a never before available tool – The Home [...]

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  • Intro to: The Missing Keys to Thriving in Any Real Estate Market
  • Partners / Credit Partners / Investors needed for GREAT Business!
  • 6wndhe3ua2
  • False Assumption 3: The system of Gaussian copula function was adequate and reduced risk of MBS.
  • How to build an accurate Block Group 24-Month Forecasting System - STEP 1
  • Latest Competition Analysis for Home Value Predictor
  • Launching New site - intro to Home Value Predictor
  • Macroeconomics Role in the Housing Crisis – Part 2
  • False Assumption 1: Real Estate Has Always Gone Up in Value, Thus It Will Continue to Go Up in Value
  • How did macroeconomics and flawed Market Information cause The Housing Crisis? – Part 3
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