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PS, I agree that the biggest drops are yet to come. I agree that it will take a number of years for things to reach the bottom.
My father-in-law bought commercial San Diego properties in the early 80s, and still holds them. His counsel to me is 8X annual rent.
Robert Campbell, in his book, teaches folks to monitor 12 month moving averages of (1) existing home sales, (2) new home building permits, (3) notices of default, (4) foreclosure sales, and (5) 30 year mortgage interest rates. When the 12 month moving averages reach the right level, it’s time to (1) sell or (2) buy. The neat thing is that in his book he uses San Diego data.
Where do you buy his book? Does his book include data going back a couple cycles, to prove his method predicts changes in the real estate cycle?
Why does he use a 12 month moving average, instead of ” percent change compared to last year”, like Joseph Ellis does in Ahead of the Curve? A 1-year moving average takes out the seasonal fluctuation, but he could achieve the same result without sacricing recent trends, by using “% change vs. last year”.
NODs and foreclosure sales, like the median price are lagging indicators. Why and how does he use them?
What is the “right level” for moving average? He looks for a certain number, or a reversal of trend?
From what I’ve read here, it sounds interesting enough that I would study his book. Then I can compare my methods, which I’m going to chart soon, to his.
PS, I think I bought it online at Amazon. Yes, his data goes back to ’88.
From what I remember, he tried a number of methods to fit the data, and arrived at his predictors and methods for integrating them.
PS, I’d read the book — it will only take a few hours — to get your own sense of his approach.