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GenXer



Joined: 20 Feb 2009
Posts: 703

PostPosted: Wed Jun 02, 2010 12:41 pm GMT    Post subject: Reply with quote

admin wrote:
GenXer wrote:

This is a 'straw man' - nowhere did I advocate making up outrageous data... We do not know the STANDARD ERROR when making these predictions, hence any guess is just as good, whether you base it on 'real' data or 'imaginary' (but realistic) data. (emphasis added)


You are implicitly using history to provide information about the future when you make your personal determination about what is "realistic." There is no objective cut off where the numbers cease from being "realistic" and become "outrageous." My goal in posting the outrageous numbers was not to put words in your mouth but to hopefully get you to agree that not all possibilities should be given equal weight (and I said as much - this was no straw man). You apparently agree with that but aren't acknowledging the implications. It is obvious that you are using history in some capacity, though, even while you deride others for using it explicitly - its use is unavoidable.

If anybody else wants me to continue further into explaining why you can't avoid using assumptions based on history, let me know. Otherwise, I think I've made my case adequately enough.

- admin


My point is about using past data in general. The jury is still out as to what the RIGHT data looks like. Like I said previously, because we don't know what's possible from the past, it is hard to judge whether some data may LOOK outrageous before it happens, but becomes part of history when it does happen. In 1930, nobody knew that stocks can fall that much, and in 2000, we only had 1930 to look back to. Does it mean that 90% loss for the S&P is outrageous? Hardly. History tells us what HAPPENED, not what will happen.

It is pointless to argue about what data is meaningful or not when even the so-called meaningful data is MEANINGLESS in predicting the future.
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GenXer



Joined: 20 Feb 2009
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PostPosted: Wed Jun 02, 2010 12:50 pm GMT    Post subject: Reply with quote

We may be discussing different things. I'm talking about the future, near, far, doesn't matter, and not 2010. Also, I'm not talking about 1 month forecast. I'm talking about several years ahead. I already offered people to play this game. Try to make forecasts several years ahead, and see how close you come. Do it with an S&P index. Try it for a couple of months ahead. I think you'll find that it doesn't matter HOW MUCH data you have or how you weigh it. The results are always the same. You will guess right by pure luck, which won't happen very often. And above all, do provide a STANDARD ERROR of your guess, i.e. S&P will be at 1500 with 95% confidence interval in 3 months, for example

Otherwise, I can guess randomly, and my guess (while aiming to be 'accurate', whatever that means) will be the same or better than those who crunched 100 years worth of data, including all available data on our economy for 100 years. Those two approaches will be equivalent, simply because nobody knows what the standard error is. If the prediction error is 1000%, then a guess is as good as an 'accurate' prediction based on data that has 1000% error.
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Kaidran



Joined: 17 Mar 2010
Posts: 289

PostPosted: Wed Jun 02, 2010 12:56 pm GMT    Post subject: Reply with quote

Sorry we seem to be having multiple conversations at once. I was thinking about one additional forum on the main page for "Town Specific Data and Discussion", then topics in that would be just the names of towns, or possibly sub forums if one thread could not handle it. It has the potential to be neater but does not allow for lazy posters. You know the forum history better than me though obviously.
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john p



Joined: 10 Mar 2006
Posts: 1820

PostPosted: Wed Jun 02, 2010 1:57 pm GMT    Post subject: Reply with quote

GenXer:

I'm basically saying that you talk about certain benchmarks that are unattainable to most young potential buyers, so "In a perfect world" you would have a 20% down payment with 2 years of salary saved up and a 1/4 of a million dollars socked away. I think that is what is frustrating people here, that you raise the bar so high that people feel like they shouldn't be considering buying. Hell, you may be right with the majority of people.

Just to settle this what do you think the benchmarks ought to be:

Down Payment X%
House Price X times household income
Emergency Fund of X months
Debt Ratio X
Percentage of Monthly Income to service Mortgage X?

I used to play lacrosse in college. There was this thing against "hot-dogging" or practicing moves that you would never use in a game. Many would say that it was a waste of time, but others said that if you could develop motor control and concentration to bounce a ball on the side of your stick while running, you'd elevate your ability to do other things. Bottom line, the kids who could hot dog could flat out play. Wayne Gretzky could hot dog, Tiger Woods could hot dog (remember the commercial where he could bounce the ball on his driver), and the guy who can spit out recent reports of data will most likely get a better deal than others. In lacrosse we couldn't predict the future, but we elevated our skill level to outperform those around us.

I see you GenXer as a defenseman or goal tender, you don't want people drifting off and chasing something when they need to stay "at home" defend. If you, however, have 11 guys playing defense all the time, you're not going to score. I think you get a lot of heat because deep down people see you as the voice of reason (sometimes their own voice of reason) telling them to be careful and the optimistic side of them is pushing back. I mean people who have decided to not buy at all most likely aren't reading a housing blog, there is some part of them that eventually wants to buy. When I see people mad at you GenXer, I see them chomping at the bit to buy and they are really checking to see if you're right or you're Chicken-Little.

Your Roy Schneider in the movie "Jaws" who wanted to close the beaches because of the sharks and your critics are often like that local Mayor who wore the tacky anchor blazer who wanted to keep the beaches open to generate business. Others, I think really respect your view and are more critical of you because they want clarity. That resistance is really the weight that is falling on you as a voice of reason. Part of maturity is understanding when others depend on you and behaving in a way where people can come to you feeling exposed and confused and comfortable.

Warren Buffet said, you'll miss the Spring if you wait until you see the (little birds, I forget which kind...).

Now Buffet can afford to take on more risk than most.

I think that througout generations we have fundamental values, and in times like these we need to root ourselves in them so that we don't get uprooted in the chatter.

I also look at risk as, younger people who can't afford a "Plan B" shouldn't take on risk, or those close to retirement. A "Plan B" is basically, If I buy this condo, is it possible that if the prices tank, could I rent it when I eventually want to move to a single family? It is also could I afford to make the payments if I got laid off for 18 months?

It would be great if you could give us a "Top 10 List" of common misconceptions in the current market.
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john p



Joined: 10 Mar 2006
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PostPosted: Wed Jun 02, 2010 2:37 pm GMT    Post subject: Reply with quote

Another thing is that some know how to act very cool, calm and collected and it gives many a sense of confidence in them. You have to be a subject matter expert to know the difference between the truly erudite and those that are full of shit. GenXer, you are absolutely not full of shit.
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Kaidran



Joined: 17 Mar 2010
Posts: 289

PostPosted: Wed Jun 02, 2010 3:09 pm GMT    Post subject: Reply with quote

Could you elaborate John please. As far as I know nobody has hot-line to the future. We make plans and base opinions on our own feelings of optimism/pessimism and our tolerance of risk. Since no-one has the whole story a combining of thoughts and ideas in a forum like this would seem to be the best way to come to a better understanding, even if we cannot reach a consensus.

What opinions expressed here do you consider to be "shit" and why?
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admin
Site Admin


Joined: 14 Jul 2005
Posts: 1826
Location: Greater Boston

PostPosted: Wed Jun 02, 2010 3:22 pm GMT    Post subject: Reply with quote

GenXer wrote:

Otherwise, I can guess randomly, and my guess (while aiming to be 'accurate', whatever that means) will be the same or better than those who crunched 100 years worth of data, including all available data on our economy for 100 years.


No you can't. You cannot guess randomly without regard for history (unless you also admit outrageous scenarios). It's not possible because the mere act of deciding what is "realistic" and worthy of inclusion in the list of possible outcomes is going to be shaped by what you have observed in the past.

- admin
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GenXer



Joined: 20 Feb 2009
Posts: 703

PostPosted: Wed Jun 02, 2010 4:49 pm GMT    Post subject: Reply with quote

admin wrote:
GenXer wrote:

Otherwise, I can guess randomly, and my guess (while aiming to be 'accurate', whatever that means) will be the same or better than those who crunched 100 years worth of data, including all available data on our economy for 100 years.


No you can't. You cannot guess randomly without regard for history (unless you also admit outrageous scenarios). It's not possible because the mere act of deciding what is "realistic" and worthy of inclusion in the list of possible outcomes is going to be shaped by what you have observed in the past.

- admin


You missed the first part of the quote. Or you don't believe that your error can be larger than the so-called 'measurment'? This is true for every prediction dealing with the stock market that's far enough out.

I can guess that S&P will be at 1000 in 5 years. Now, with 100 years worth of data, do you think you can get a better prediction than that? Care to tell me the error? If its 100% or more (which it probably is, but the point I'm making also is that we DON'T KNOW - it can be larger or smaller), then a guess is just fine.
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admin
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Location: Greater Boston

PostPosted: Wed Jun 02, 2010 5:27 pm GMT    Post subject: Reply with quote

GenXer wrote:

I can guess that S&P will be at 1000 in 5 years. Now, with 100 years worth of data, do you think you can get a better prediction than that?


Let's talk apples to apples and bring this a little closer back to the original housing related application. You should be asking for a prediction of the P/E ratio (analogous to the price to income ratio for housing) rather than the index value as the ratios are what may plausibly tend towards mean reversion. I definitely think that the historical average P/E ratio for the S&P is a much better guess for its state 5 years from now than a guess that is honestly random. Do you want to take that bet? The ratio has ranged from 5 - 50 in the past, I believe, so the range for random selection must be at least that big, and I would think it should actually be much bigger given that one of your recurring themes is that we need to account for values that have never occurred before. If you agree to a random selection between 1 - 100 with a uniform probability distribution (we can work out how to generate the number), and I can use the historical average, I will take that bet.

- admin
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john p



Joined: 10 Mar 2006
Posts: 1820

PostPosted: Wed Jun 02, 2010 9:42 pm GMT    Post subject: Reply with quote

Kadrian:

regarding (full of shit)

When I was buying the Realtors would give me all these (full of shit) reasons why I ought to buy right now. This was like at the peak of the market in 05 and I wasn't as researched about economic issues so I was a bit like a deer in the headlights and unsure if it was true or not. I realized pretty quickly that I needed to get up to speed on things. I can just imagine realtors telling young buyers that they'd better buy before mortgage rates skyrocket and things like that. This is kind of why I throw out economic context here and there.

Even at the time the Massachusetts Association of Realtors and the National Association of Realtors used to put out almost propaganda to prop up their bubble market. Even when the market was correcting, we had this blogger named "Condo" who used to always tell everyone that the condo market in Boston was going to keep going up and up. I and others used to always ask him for data and he would act very cool like he was an expert but he never had anything to support his claim. We discovered that the guy was in fact a condo realtor and had a self interest behind his posts, and when things became clearer we didn't hear from him again.

regarding "Tell Signs"

If your industry is say Manufacturing or global professional services or something, a weaker dollar will help you. If you see "Buy American" clauses in the Stimulus Bills, you know that the Unions will make out. In New York, the Governor is blaming the Unions because he wanted to have furloughs and the senior union members wouldn't have it, or pay freezes, so they get their raises while the younger union members are getting laid off. There are winners and losers today and you have to look for indications as to whether or not whatever you're in is going to benefit or lose.

I have a brother in law from D.C. and he bought a place over asking price. He has a nice "safe" cushy job with the Federal Government. D.C. has increasing house prices. Now should my brother in law feel as secure as he does? I think if political pressure mounts like it did in New Jersey and they ended up getting a Governor that cuts like crazy, he might lose his cushy job. I just had a younger guy send me his resume and he actually said that he got laid off because the Governor of New Jersey made so many cuts that all the school projects were put on hold and he was an architect working on them. Bottom line here is that certain people believe in supply side economics (Keynesian / Paul Krugman) kind of stuff and they think that the US Government ought to be providing MORE Stimulus. Now, if these guys prevail, those that benefit from government spending are winners. If those that believe that you ought to live within your means prevail, like the Governor of New Jersey, you'd be a loser.

Last year, the greatest influence in the market was government interaction in the first time buyer incentive program. Maybe this new "Caulking for Clunkers" might offer benefits for the older Boston housing stock because they might have a few freebies for insulation and remodelling; who knows.

A big "tell sign" I look at is what is driving the mortgage rates? Perhaps because of the stresses and strains in the European Union, investing in the US might be a temporary sanctuary. Also, I look to see if China is overheating and overproducing. People in sweat shops are committing suicide at pretty high rates.

Old school economists look at things like orders of transportation fleets. If companies who transport goods invest in their fleets, that is a good sign that they are getting orders.

In my business, you want to be on a big 5 year contract and hope that you have a decent pipeline of work flowing in.

This Health Care Bill will cause some to lose their jobs and others will make out great. This new Finance Bill will also have their share of winners and losers.

Now in some cases, people might have the political juice to win the argument for the time being, but if things don't change because there is a structural flaw, they can only win it for the time being. For example, when I was on my town's finance committee, the workers wanted a 2% raise for 2009. I said they ought to freeze wages so that nobody would have to lose their job moving forward. Well, they won their 2% Cost of Living Raise (when the CPI Index they were benchmarking said 0%) and this year, they had to take pay cuts.

Hey, a big "tell sign" is Governor Deval Patrick ending the controversial State Holidays:

http://www.boston.com/news/local/breaking_news/2010/06/patrick_vows_to_1.html

One of these is basically St. Patrick's Day. Now South Boston has been the epicenter of State Politics since Billy Bulger and they have this big St. Patrick's Day Breakfast and if you don't attend you get ragged on. I see these holidays being taken as a sign that the State workers are weilding less power and it politically recognizes that the public sector is currently getting a better deal than the private sector.

Locally, my town had a Special Election vote to see if we would spend $250k on the drawings for a Senior Center. Now although we were cutting wages and postponing repairs on our existing building stock, the Seniors wanted their Center. Now the Senior are a very strong voting block and they are the people that actually watch those local t.v. airings of the Town Selectman's meetings etc. Well, to my surprise, the Senior Center was voted down. I attribute a bit of it to the Tea Party chatter. Now, I'm not a big Sara Palin guy, but the Tea Party Movement is giving political support to politicians who sometimes have to be the bad guy and say "No". Most of the time, the people who actually show up to Town Meetings are those that benefit from government spending and the rest of us don't bother concern ourselves with it. It's when that tax bill starts to hurt that we pay attention more closely. Now, lets say you were on the ballot with the Senior Center vote and you opposed the Senior Center. You'd be in trouble with those old folks, so most likely you wouldn't take a position. Today, the Tea Party Movement is about punishing that politician for not saying no to unnecessary spending and not standing up to the special interests. I'm really just saying, pay attention to how strong this becomes. When you do, you can see all the angles people have and see who's behind who and it is enlightening. People's perspective indicates their position and when you understand the lay of the land and these predispositions you can better predict the behavior of things.
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Kaidran



Joined: 17 Mar 2010
Posts: 289

PostPosted: Wed Jun 02, 2010 11:50 pm GMT    Post subject: Reply with quote

Ha, Ha I dont think you'll get any argument about the Realtors. I remember in 2007 after I pulled out of buying and I decided to wait longer; my old realtor (who was after a referral bonus) actually asked what I thought I was waiting for. (Now being a great time to buy).

I think the idea of "tells" is very compelling but I wonder how good we would be at interpreting the results. I am fearful of the senior voting block but I almost want them to overreach to motivate people enough to stop them. Very interesting about the town meeting only having people that stand to gain. I'll read again more thoroughly tomorrow when I have more time.
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GenXer



Joined: 20 Feb 2009
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PostPosted: Thu Jun 03, 2010 12:01 am GMT    Post subject: Reply with quote

admin wrote:
GenXer wrote:

I can guess that S&P will be at 1000 in 5 years. Now, with 100 years worth of data, do you think you can get a better prediction than that?


Let's talk apples to apples and bring this a little closer back to the original housing related application. You should be asking for a prediction of the P/E ratio (analogous to the price to income ratio for housing) rather than the index value as the ratios are what may plausibly tend towards mean reversion. I definitely think that the historical average P/E ratio for the S&P is a much better guess for its state 5 years from now than a guess that is honestly random. Do you want to take that bet? The ratio has ranged from 5 - 50 in the past, I believe, so the range for random selection must be at least that big, and I would think it should actually be much bigger given that one of your recurring themes is that we need to account for values that have never occurred before. If you agree to a random selection between 1 - 100 with a uniform probability distribution (we can work out how to generate the number), and I can use the historical average, I will take that bet.

- admin


The point is that the PE can be calculated ex post, not ex ante. Mean reversion is a myth. I already discussed this with references to the top econometrics researchers. Its an assumption, a wild guess of sorts, that things somehow revert to some means. This is the kind of assumptions I'm talking about. In fact, BOTH of us will be wrong. That's what I'm willing to bet on. The problem is, one of us can be closer simply by chance. This is why this experiment has to be repeated 1000 times or so.

One thing we can do of course is to bet on a short term prediction, but my bet will be the same: I bet that both of us will be wrong, and that none of us will be consistently closer. That's my point. Just because you guess historic PE won't make you closer to the truth, if we repeat this test 1000 times. You can convince yourself of that easily by trying this with your favorite index. Case Schiller is as good as any. Try to see how close the futures actually predicted what the price was. And take longer futures (not 1 month out, which is bound to be relatively close), but say a year out (I'm not sure they have futures that far out), or even better, several years out.

What you will get is a very simple artefact of statistics - the longer the forecast, the worse it is (higher errors). The shorter - the better. This is achieved without much analysis - just guess within 1 sigma, and you'll probably be fine.

The longer one will require a sqrt(time)*sigma, if we are assuming a Gaussian. Reality would be a much steeper function of time times sigma. That's your 'cone' of uncertainty. Care to tell me how you can actually narrow this cone with any type of data whatsoever? It's impossible. Five years out, you will be many times sigma away either up or down. We know that the market is actually much more 'mobile' than a Gaussian, hence the cone will grow much faster, and so will your error. At some point (once your prediction is far enough out), you will have no chance to guess it right as the NUMBER of possible outcomes will grow without bound.
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admin
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PostPosted: Thu Jun 03, 2010 12:55 am GMT    Post subject: Reply with quote

GenXer wrote:
In fact, BOTH of us will be wrong. That's what I'm willing to bet on. The problem is, one of us can be closer simply by chance.


Well, obviously nobody would be exactly right and the winner would be whoever is closer. I accept that chance would play a part in who is closer, but I definitely believe that chance would favor me if you used a uniform probability distribution as you advocated earlier as that has very little bearing on reality (even less so than your arch nemesis, the Guassian). Giving fringe cases equal weight would necessarily push your expected value to the fringe, which is why I think the odds would be favorable that a non-fringe bet (e.g., the average) would be closer more often than not.

- admin
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GenXer



Joined: 20 Feb 2009
Posts: 703

PostPosted: Thu Jun 03, 2010 11:26 am GMT    Post subject: Reply with quote

admin wrote:
GenXer wrote:
In fact, BOTH of us will be wrong. That's what I'm willing to bet on. The problem is, one of us can be closer simply by chance.


Well, obviously nobody would be exactly right and the winner would be whoever is closer. I accept that chance would play a part in who is closer, but I definitely believe that chance would favor me if you used a uniform probability distribution as you advocated earlier as that has very little bearing on reality (even less so than your arch nemesis, the Guassian). Giving fringe cases equal weight would necessarily push your expected value to the fringe, which is why I think the odds would be favorable that a non-fringe bet (e.g., the average) would be closer more often than not.

- admin


Actually, if I pick a number uniformly from a 'cone of uncertainty', then we have a deal. That is, I will guess a standard deviation that is the initial standard deviation times sqrt(time), plus or minus. So, my guess will look like a uniform number in the following range: mean +/- sigma * sqrt(time).

My guess would be just as good as yours guessing the mean. In that case, ALL outcomes in the cone of uncertainty are EQUALLY likely, and you can convince yourself of that by usuing a Gaussian - this is a result, by the way, that can be proven.

One thing I advocated was that no data = lots of data, especially given that we know markets are chaotic (notice, I did not say 'random walk' or 'random' or 'efficient' or any other assumption that's clearly wrong).

And the only way we'll know who's more or less wrong is if we do this enough to make it statistically significant (at least 1000 trials). And my contention is that because the markets are not Gaussian, the result would be a tossup as well - my cone of uncertainty is clearly wrong, and so is your mean.

Here's something to try at home. I may try it at some point. Take daily or monthly S&P500 prices - I have a set going back to 1950. Then calculate the 'mean' going back to 1890 (from Bodie's book), as a starting guess. And then simply try to see if 5 years out your guess matches the actual numbers, and see how far off you are 5 years down the road. Then shift 5 years ahead, and adjust your mean, and try 5 more years out, and see how you match. You'll see very quickly that a RANDOM PROCESS (even a Gaussian one) does not have mean reversion, other than by 'chance' (that is, as an artefact of a random process).
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GenXer



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PostPosted: Thu Jun 03, 2010 12:10 pm GMT    Post subject: Reply with quote

Just doing this with Bodie's data yields the following % error (guess - mean)/mean * 100 (starting somewhere in 1911, and using the mean before 1911 that as my initial guess, guessing 5 years ahead and ending sometime in 2008):

29.
44.
66.
230.
23.
59.
65.
102.
304.
488.
616.
496.
281.
387.
553.
979.
1023.
2415.
1188.

So, you still think 1000% error is not possible? Guessing averages will not get you much when 20 sigma standard deviations are possible. This is why the markets are so complex - the statistics is very complex making 'common sense' analysis prone to big errors, unless of course one is careful to avoid making predictions based on the past data.

It is best to have daily data for this, as your average is much less accurate if annual data is used. Also, dividends must be reinvested as well, and I've not done that. In any case, this is all irrelevant - the point is that with all of our ingenuity, we are not capable of guessing the future accurately given such huge spreads.

It is true that Case Schiller index will be somewhat more mild, yet, with 5 sigma deviations, guessing will still be prone to large error.
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