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bsrsharma
ParticipantThey bought the home for 1.65M in July of 04. ………
10/05 for 170k, then another for 360k on 11/05 then another for 1.8M on 11/05 and then another for 990k on 11/30 ………
they were pulling some hanky panky on the lenders.
All this in 16 months. Hard to believe lenders were innocent. Can you tell who the lenders are?
ParticipantSeasonal adjustment is more "processed" than manipulated. They want to exclude any influence of people's preference for buying in July and try to report an "unbiased statistic". My guess is, that should lower the trend line below actual since July is a preferred month for home buying (being summer, school holiday etc.,). I think seasonal adjustment is a good thing but the large margin of error invalidates everything.
I remember a joke: A man with his head in an oven and feet in a freezer is on the average comfortable. That is how these housing statistics look like.
ParticipantSeasonal adjustment is more "processed" than manipulated. They want to exclude any influence of people's preference for buying in July and try to report an "unbiased statistic". My guess is, that should lower the trend line below actual since July is a preferred month for home buying (being summer, school holiday etc.,). I think seasonal adjustment is a good thing but the large margin of error invalidates everything.
I remember a joke: A man with his head in an oven and feet in a freezer is on the average comfortable. That is how these housing statistics look like.
ParticipantSeasonal adjustment is more "processed" than manipulated. They want to exclude any influence of people's preference for buying in July and try to report an "unbiased statistic". My guess is, that should lower the trend line below actual since July is a preferred month for home buying (being summer, school holiday etc.,). I think seasonal adjustment is a good thing but the large margin of error invalidates everything.
I remember a joke: A man with his head in an oven and feet in a freezer is on the average comfortable. That is how these housing statistics look like.
ParticipantSeasonal Adjustment is a statistical process to remove seasonal variations and hence try to report long term trends. Basically they filter out “seasonal noise” and report slow moving trend. (In engineering this would be called a low pass filter). The statistical term is “Time series analysis”. You can see an explanation here: http://www.itl.nist.gov/div898/handbook/pmc/section4/pmc4.htm
ParticipantSeasonal Adjustment is a statistical process to remove seasonal variations and hence try to report long term trends. Basically they filter out “seasonal noise” and report slow moving trend. (In engineering this would be called a low pass filter). The statistical term is “Time series analysis”. You can see an explanation here: http://www.itl.nist.gov/div898/handbook/pmc/section4/pmc4.htm
ParticipantSeasonal Adjustment is a statistical process to remove seasonal variations and hence try to report long term trends. Basically they filter out “seasonal noise” and report slow moving trend. (In engineering this would be called a low pass filter). The statistical term is “Time series analysis”. You can see an explanation here: http://www.itl.nist.gov/div898/handbook/pmc/section4/pmc4.htm
ParticipantHow can U.S. Census put its name on this nonsense? One needs 10,000 data points to get +/-1% sampling error (see http://en.wikipedia.org/wiki/Margin_of_error ). Are they too lazy to get accurate data on 10,000 data points? 12% margin suggests they collected less than 100 real data points and reported it as a national statistic. Pathetic.
BTW, I have seen similar nonsense in CPI and unemployment rate. For CPI, they conveniently leave out “volatile” food and energy prices. For unemployment rate, they consider anyone unemployed for more than 6 months as “discouraged workers” and leave them out of statistics.
ParticipantHow can U.S. Census put its name on this nonsense? One needs 10,000 data points to get +/-1% sampling error (see http://en.wikipedia.org/wiki/Margin_of_error ). Are they too lazy to get accurate data on 10,000 data points? 12% margin suggests they collected less than 100 real data points and reported it as a national statistic. Pathetic.
BTW, I have seen similar nonsense in CPI and unemployment rate. For CPI, they conveniently leave out “volatile” food and energy prices. For unemployment rate, they consider anyone unemployed for more than 6 months as “discouraged workers” and leave them out of statistics.
ParticipantHow can U.S. Census put its name on this nonsense? One needs 10,000 data points to get +/-1% sampling error (see http://en.wikipedia.org/wiki/Margin_of_error ). Are they too lazy to get accurate data on 10,000 data points? 12% margin suggests they collected less than 100 real data points and reported it as a national statistic. Pathetic.
BTW, I have seen similar nonsense in CPI and unemployment rate. For CPI, they conveniently leave out “volatile” food and energy prices. For unemployment rate, they consider anyone unemployed for more than 6 months as “discouraged workers” and leave them out of statistics.
ParticipantThey forgot to add one more line.
“We don’t need no stinking unwashed who need a mortgage. Don’t bother if you don’t have cash”
ParticipantThey forgot to add one more line.
“We don’t need no stinking unwashed who need a mortgage. Don’t bother if you don’t have cash”
ParticipantThey forgot to add one more line.
“We don’t need no stinking unwashed who need a mortgage. Don’t bother if you don’t have cash”
ParticipantMan you can't make this up. Illegals harvesting the CMO investors for cash. Doesn't get juicier than this!
He knows other undocumented immigrants who are refinancing their houses and getting cash out so they can return right away rather than waiting for their houses to sell.
http://www.azcentral.com/arizonarepublic/news/articles/0826sanctionsimpact08260.html
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