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US Politics Mega-thread - Page 118

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Read the rules in the OP before posting, please.

In order to ensure that this thread continues to meet TL standards and follows the proper guidelines, we will be enforcing the rules in the OP more strictly. Be sure to give them a re-read to refresh your memory! The vast majority of you are contributing in a healthy way, keep it up!

NOTE: When providing a source, explain why you feel it is relevant and what purpose it adds to the discussion if it's not obvious.
Also take note that unsubstantiated tweets/posts meant only to rekindle old arguments can result in a mod action.
Sermokala
Profile Blog Joined November 2010
United States13990 Posts
February 20 2013 01:27 GMT
#2341
Ronald reagen only getting a 44 on that scale is silly. Its fucking morning in america and we're gona win this cold war right now goddammit. He instituted an age of cutting taxes and cutting spending by massively raising spending and raising taxes.
A wise man will say that he knows nothing. We're gona party like its 2752 Hail Dark Brandon
sam!zdat
Profile Blog Joined October 2010
United States5559 Posts
February 20 2013 01:29 GMT
#2342
^This is what Goebbels would have called "The Big Lie"
shikata ga nai
Souma
Profile Blog Joined May 2010
2nd Worst City in CA8938 Posts
February 20 2013 01:51 GMT
#2343
On February 20 2013 10:27 Sermokala wrote:
Ronald reagen only getting a 44 on that scale is silly. Its fucking morning in america and we're gona win this cold war right now goddammit. He instituted an age of cutting taxes and cutting spending by massively raising spending and raising taxes.


I would dismiss Reagan's score in any case. 'Congressional Voting Record' is the best indicator, followed by, perhaps, Public Statements.
Writer
{CC}StealthBlue
Profile Blog Joined January 2003
United States41117 Posts
February 20 2013 02:04 GMT
#2344
Two new polls out today show that support for marriage equality and rejection of the so-called Defense of Marriage Act (DOMA) are on the rise. President Obama hasn’t said whether same-sex couples have a constitutional right to marry. Yet an overwhelming majority of Americans believes that they do.
According to a poll conducted for the Respect for Marriage Coalition, “Three-quarters of voters (75%) believe that [same-sex marriage] is a Constitutional right.” This is up four points since 2011. Also, such support “spans across party lines.”

Democrats: 91 percent
Independents: 75 percent
Republican: 56 percent

Meanwhile, an overwhelming majority of Americans (83 percent), “regardless of their personal opinion on the issue,” believes that same-sex marriage will be legal nationally “in the next five to 10 years.” The number drops to 77 percent for those who believe marriage equality will go national “in the next couple of years.” The only way marriage equality can go national is if DOMA is repealed either by a ruling of the Supreme Court or by Congress.

What makes DOMA especially egregious is Section 3, which defines “marriage” as between one man and one woman and “spouse” as someone of the opposite gender. Because of this, federal law does not recognize legally married same-sex couples. Thus, they are denied Social Security survivor benefits among the more than 1,100 other rights and benefits enjoyed by heterosexual married couples.


Source
"Smokey, this is not 'Nam, this is bowling. There are rules."
paralleluniverse
Profile Joined July 2010
4065 Posts
February 20 2013 11:03 GMT
#2345
On February 20 2013 10:15 Rassy wrote:
Show nested quote +
On February 20 2013 00:37 paralleluniverse wrote:
This whole debate about using normal distributions in finance seems completely misplaced.

Firstly, the main model, Black-Scholes, doesn't assume normality. It assumes that changes in stock prices are lognormally distributed, i.e. stock prices follow a geometric Brownian motion (not a Brownian motion).

But the point is taken that these models do not allow for tail events (unpredictably huge and rare events). One above poster suggests using nonparametric methods. But using a nonparametric method means not assuming a distribution by having the distribution being dictated by the data. It doesn't mean the model is robust under any distribution. Because nonparametric methods rely on data, and there is by definition, virtually no data on tail events, nonparametric methods won't solve your problem. You can't create information ex nihilo.

So what should you do about tail events? Hedge. Buy and sell derivatives to cover your ass. Do scenario analysis, i.e. what happens to your portfolio when some big bad and unpredictable event happens?

But weren't derivatives and financial instruments that no one really understood one of the main causes of the financial crisis? Yes, but the problem wasn't that people didn't price risk properly because they used the normal distribution, it was that people didn't see the correlation and interconnectedness of the whole system. You hedge to reduce risk, but when everything goes wrong at once and the assets you have become worthless and those who owe you because of your hedge also have worthless assets, then they can't pay you and you go broke (or get a bail out).

For example, the rationale behind subprime loans (which were individually worthless because they're likely to default) was that they can be all packaged up into one entity called a MBS. The MBS was highly rated by rating agencies, because what's the chance that they'll all default? This is basically risk pooling, the idea behind insurance. But it doesn't work when things are correlated.

The problem wasn't the normal distribution. It was correlation.

To be fair, it clearly wasn't easy to model correlation or to understand that it could be a big deal. They also had intellectual cover as finance was enthralled to free market fundamentalism, the centerpiece being the Efficient Market Hypothesis (EMH). And it was argued by many people of influence, like Alan Greenspan and Larry Summers that financial innovation had dispersed risk and that because of the EMH and Chicago School of Economics that nothing could go wrong. Clearly, that didn't work out.



Thx, interesting post and i have to agree.
The underestimating of the force of correlation seems a verry good explanation of why risk managers ended up in such a bad spot.
Its indeed a bit off topic, i just responded to the 3 charts shown and if have to choose between the mandlebrot and the bellcurve,then i go with the bellcurve and i still think that thats the most accurare respresentation (though of course not as accurate as the bellcurve of tossing head or tails 100 times gives)
It was merely a remark on the side.

Had one question about the post you made before this:
"It's possible that Alesina is correct, that tax cuts are less contractionary than spending cuts. But one reason to show some doubt is that if this were true"

I asume you mean tax increases (or the ending of tax cuts) since tax cuts are not contractionary at all, tax increases are.
Or am i now missing something realy simply or misreading you?

That's right. I've fixed some typos in that post.
paralleluniverse
Profile Joined July 2010
4065 Posts
Last Edited: 2013-02-20 13:58:18
February 20 2013 11:32 GMT
#2346
On February 20 2013 07:55 sam!zdat wrote:
Show nested quote +
On February 20 2013 07:48 paralleluniverse wrote:
On February 20 2013 02:47 sam!zdat wrote:
On February 19 2013 19:09 Danglars wrote:
I don't think you realize I only wanted to put in context the relevance of JonnyBNoHo's picture in a discussion that brought up the WWII and depression lessons topic. I made no societal comparisons, nor intended to. I made no broad reflections on capitalism as a whole, nor intended to. I say only that WWII might be believed to have done one thing but at a cost.


Cool, then we're on the same page.

On February 19 2013 20:33 Fwmeh wrote:
On February 18 2013 12:08 sam!zdat wrote:
Yeah, I get it Jonny. the point is that you get these more complicated and more complicated models to try to express risk quantitatively using seriously flawed mathematical tools (the Gaussian) and the more complicated your air castles get, the more you are deluding yourself into thinking you understand what is going on.

You should make a difference between the tool, and its (sometimes misapplied) usage. The normal distribution in itself is not flawed, and in fact incredibly beautiful.


Er, ok, it's flawed when you want to use it for studying things which are in fact mandelbrotian and not gaussian. I'll leave any appreciation of the platonic form of the bell curve to others, it's fine for what it is. That's not really my point.


To me the worrying part is the design of the whole economic framework rather than the interpretations thereof. You could use any non-parametric techniques to gain understanding of the current model, but if the model itself is not only incomplete (that is a given and not a serious objection) but actually a representation of a system that is toxic, the results will also be thus.


I'm worried about both, so yes I agree that we shouldn't just get preoccupied with the fact that we're modeling it badly, because yes, the thing we're trying to model is already a bad idea.

On February 19 2013 21:43 oneofthem wrote:
On February 19 2013 15:22 sam!zdat wrote:
The Black Swan

He will explain why you should Beware the Gaussian

i don't think you should treat taleb like a god. the gaussian-mandelbrot thing is just a choice way of representation, more generalized ways of representing the same basic problem have been made elsewhere.


How could I treat like a God anybody who says nice things about Hayek? I just want people to read Taleb, because he's somebody who's going to convince people of this more than I, because he has background in finance and he's not also trying to convince them to become communists at the same time. If I can teach some suits some epistemic humility, I'll count that as a small blow against Empire. And Taleb seems like the man for the job. What else should I recommend to people?

I might be guilty of deifying mandelbrot, but that is an entirely different topic


at the end of the day, it's simply this. big chunk of stuff controlled by a group of people whose behavior are interdependent.


hmm. I feel like that's what it is at the beginning of the day. Then you have to go theorize it.

On February 20 2013 00:37 paralleluniverse wrote:
But the point is taken that these models do not allow for tail events (unpredictably huge and rare events).


The point is that this is what we call History.


The problem wasn't the normal distribution. It was correlation.


These two are related. When you are using something like a normal distribution to measure something, you are assuming that the things you are measuring are uncorrelated. "the bell curve" is just short of a short hand for "models which assume that there will not be any tail events"


To be fair, it clearly wasn't easy to model correlation or to understand that it could be a big deal. They also had intellectual cover as finance was enthralled to free market fundamentalism, the centerpiece being the Efficient Market Hypothesis (EMH). And it was argued by many people of influence, like Alan Greenspan and Larry Summers that financial innovation had dispersed risk and that because of the EMH and Chicago School of Economics that nothing could go wrong. Clearly, that didn't work out.


I don't think free market fundamentalism is an excuse for anyone to do anything at all. Nothing "intellectual" about free market fundamentalism. I think a five year old could have told them that correlation would be a big deal. Anybody tells you "oh, yeah, we solved History, don't worry, nothing can go wrong now because we have math that tells us everything" you punch them in the face. The fact that anybody ever took these people seriously does not exactly help my opinion of financiers and economists.

On February 20 2013 00:37 paralleluniverse wrote:
So what should you do about tail events? Hedge. Buy and sell derivatives to cover your ass. Do scenario analysis, i.e. what happens to your portfolio when some big bad and unpredictable event happens?


No, I think this is missing the point. You should create a robust system which is multiply redundant and de-globalized, and use fewer financial tools in general. The derivates can't help you, because the derivates also don't know anything about what they don't know.

YOU CANNOT DO ANALYSIS FOR SOMETHING BIG BAD AND UNPREDICTABLE. If you do analysis for it, it is just big bad and predictable. Then it becomes a "gray swan." You can do this, sure, that's part of the point. Try to turn black swans into gray swans. But never think that there aren't more black swans out there.

Most of what you said here just isn't true. History won't help you when trying to incorporate tail risk into models.


That's MY point!

Show nested quote +

You can't get much statistical information from 1 or 2 data points. The best you can do is acknowledge that there's a known-unknown risk.


No. There are also unknown-unknowns. You must always acknowledge that there are unknown-unknowns, and that is what your derivatives can never do.

And don't even get me started on the unknown-knowns.

Show nested quote +

It's also simply not true that you can't take correlation into account when using the normal distribution. You can: https://en.wikipedia.org/wiki/Multivariate_normal_distribution


You can use the normal distribution and then add in correlation, fine. But here you should just go read Taleb's book, he knows far more about it than I.

Show nested quote +

In case you didn't know, the ideas of the Chicago School have pretty much taken over finance and economics. And based on a lot of very complicated math, it was generally believed that free markets are efficient. You can say that correlation is a big deal, but did you show, pre-2007, basically everything in the models were correlated, that in a crisis all correlations go to 1, and quantify the magnitude of this risk?


Oh, I'm well aware of this. They've taken over because they give shallow normative grounding based on flimsy mathematics to an ideologically predetermined conclusion. Of course I didn't show anything pre-2007, it isn't my job. don't be ridiculous. I don't have to be a cassandra in order to be angry at the incompetence of the people who rule my world.

My point is that what they claimed to have accomplished was prima facie absurd and everybody should have known that. you can hand out as many bullshit "Nobel Prize in Economics" as you want, that doesn't make it a real academic discipline

Show nested quote +

You can still do analysis for tail events. I mention scenario analysis, this is basically a "stress test", which banks were subjected to. Just assume adverse economic condition, and see what happens you do portfolio under this case. Sort of like, asking what the worst case scenario.


You never know what the worst case scenario is. The worst case scenario is when your worst case scenario analysis turns out to be wrong, and you can never, never, never, never rule out that possibility.

edit: and the so-called "stress test" just took the numbers from the last crisis and tried them again. talk about "trying to model long-tail events from history", as you so blithely accused me of above. This stress test was useless because it just took the number from the last crisis as the number to test. This same stress test would not have revealed the flaws in any of the preceding crises, because they were all bigger than the ones that came before them. So the stress test would have revealed nothing.

Show nested quote +

I think should should take a stats or finance class, it's more informative than reading Taleb's book.


bullshit. anyway, i've been following the finance class on yale open courses - I'm not totally ignorant of the subject. I get the idea.

Financial math is not "flimsy mathematics". In fact, it's some of the most complicated and heavily research math out there. You can say that the models don't fit with reality, when the assumptions don't hold, but that doesn't make it flimsy, it just means that the real world is more complicated, and we don't completely know how to model it. Which is one of the reasons why there's so much research in financial math.

I didn't say that a stress test is seeing what happens in literally the worse case scenario. I said it's like worse case scenario analysis in the sense that you test that your firm can survive really bad conditions. If I recall correctly, the stress tests that were run, showed that the banks could survive worse than the financial crisis. You complain that the stress tests were worthless because they assumed a crisis of the same size. But that's not useless. It provides very useful information. It reveals that these banks could survive a crisis the size of the recent one, a once in a generation event. Then you say that crises are bigger than the ones that came before. But this is simply not true, the global financial crisis was not as bad as the great depression.

Even if these stress tests were rigged, that's not a criticism of the concept of scenario analysis/stress testing. The idea of doing a stress test, to show, say, that even in situations worse than the financial crisis, the firm can survive is one of the most effective ways of managing tail risk. Of course, it's impossible and impractical to make sure the firm can survive no matter what.

You say that we don't know what the next tail event is. But that doesn't invalidate the idea of stress testing. Just assume various semi-plausible catastrophic events. Suppose an asteroid destroys the US, this is a tail event, it is unpredictable, large, a 6-sigma event. No sensible stress test requires that your firm is able to survive such an event. You can "never, never, never, never" rule out this possibility. But that doesn't mean you have to cover for it.
paralleluniverse
Profile Joined July 2010
4065 Posts
Last Edited: 2013-02-20 12:09:51
February 20 2013 11:41 GMT
#2347
I said that stress tests were one of the ways of dealing with tail risks. But there are others.

Insurance companies deal with catastrophes all the time, (e.g. the Japanese earthquake and tsunami a couple of years ago). Why don't they go bust? No, AIG doesn't count, because it was the investment division, gambling with financial instruments, that blew up, not their insurance business. The main reason is because insurance companies know how to manage tail risk.

Stress testing is one method. Another method is reinsurance, i.e. the insurance company buys insurance from another insurance company. The analogous concept in finance is using derivatives to hedge your position. Another is catastrophe bonds. The analogous concept in finance is a MBS. So why hasn't reinsurance and cat bonds destroyed insurance, the way that derivatives and MBSs have destroy finance?

Because natural catastrophes, of the sort that insurance companies deal with aren't correlated, whereas everything is correlated in finance. A tsunami in Japan doesn't cause a hurricane in New York and a volcano eruption in Italy, whereas a large bankruptcy causes contagion to flow throughout the financial system.

So this proves my point: it's not tail risk that was the main problem, it's correlation. It's possible to successfully deal with tail risk when things aren't correlated, just look at the insurance companies.
paralleluniverse
Profile Joined July 2010
4065 Posts
Last Edited: 2013-02-20 12:19:02
February 20 2013 11:52 GMT
#2348
On February 20 2013 10:27 sam!zdat wrote:
ugh, the mandelbrot set was not supposed to be a "representation" of the financial data. The point is just that markets have fractal structure, not gaussian structure. you can use a gaussian model as a tool, but you have to understand that it's fundamentally different than the thing you're trying to model, and the more complex your models get based on this fundamental difference, the more you iterate the error until everything falls apart. So we should use gaussian models, but we should not build such complex things out of them, because we do not understand what we are doing when we do that.

If bankers were the people who suffered from their mistakes, I wouldn't care as much.

These sentences literally make no sense. It's imprecise, using invented terms, and simply doesn't make sense.

For example, what is "Gaussian structure" and why is it not "fractal structure". What's specifically is Gaussian?

If we assume that stock market returns have a Gaussian distribution, than the path of stock prices follows a Brownian motion. And Brownian motion is a fractal, i.e. if you keep zooming in, it looks like itself. This is the famous self-similarity property of Brownian motion: http://en.wikipedia.org/wiki/File:Wiener_process_animated.gif

Mandelbrot introduced fractional Brownian motion (which is also a fractal), basically Brownian motion which can allow for dependance on recent values or old values. Fractional Brownian motion has several applications in financial math, and it's been suggested that it replace geometric Brownian motion that's used in the famous Black-Scholes model. But, guess what? Fractional Brownian motion is a Gaussian process. Let's bash Mandelbrot for using something Gaussian.

Before you rage, I suggest you learn what it is that you're raging against.
corumjhaelen
Profile Blog Joined October 2009
France6884 Posts
Last Edited: 2013-02-20 11:56:07
February 20 2013 11:56 GMT
#2349
Just for fun, I have a friend studying finance (not that brilliant at maths and terrible at philosophy because he refuses to care, but a nice guy despite being in for the money).
Anyway, he had an appointment for in job in pricing. "So how do you price stuff ? -Well, basically we use Black Scholes -And does it work ? -Well it's pretty good because everybody uses Black Scholes"
That doesn't tell the whole story, but hey at least they use funny mathematical concepts.

We also had a heated argument because he believes that salaries are proportionnal or close to proportionnal to the added value you bring to your company. That was pretty funny.
‎numquam se plus agere quam nihil cum ageret, numquam minus solum esse quam cum solus esset
paralleluniverse
Profile Joined July 2010
4065 Posts
Last Edited: 2013-02-20 11:59:58
February 20 2013 11:59 GMT
#2350
On February 20 2013 20:56 corumjhaelen wrote:
Just for fun, I have a friend studying finance (not that brilliant at maths and terrible at philosophy because he refuses to care, but a nice guy despite being in for the money).
Anyway, he had an appointment for in job in pricing. "So how do you price stuff ? -Well, basically we use Black Scholes -And does it work ? -Well it's pretty good because everybody uses Black Scholes"
That doesn't tell the whole story, but hey at least they use funny mathematical concepts.

We also had a heated argument because he believes that salaries are proportionnal or close to proportionnal to the added value you bring to your company. That was pretty funny.

That's what the most basic economic models say about wages. It's not true in the real world.
corumjhaelen
Profile Blog Joined October 2009
France6884 Posts
Last Edited: 2013-02-20 12:05:47
February 20 2013 12:05 GMT
#2351
On February 20 2013 20:59 paralleluniverse wrote:
Show nested quote +
On February 20 2013 20:56 corumjhaelen wrote:
Just for fun, I have a friend studying finance (not that brilliant at maths and terrible at philosophy because he refuses to care, but a nice guy despite being in for the money).
Anyway, he had an appointment for in job in pricing. "So how do you price stuff ? -Well, basically we use Black Scholes -And does it work ? -Well it's pretty good because everybody uses Black Scholes"
That doesn't tell the whole story, but hey at least they use funny mathematical concepts.

We also had a heated argument because he believes that salaries are proportionnal or close to proportionnal to the added value you bring to your company. That was pretty funny.

That's what the most basic economic models say about wages. It's not true in the real world.

Hey he's the one who continued studying "economics" and complicated models, while I'm the one who's laughing at it.
You know why he believes it ? Because then he can believe his pay is fair.
‎numquam se plus agere quam nihil cum ageret, numquam minus solum esse quam cum solus esset
JonnyBNoHo
Profile Joined July 2011
United States6277 Posts
February 20 2013 17:04 GMT
#2352
On February 20 2013 20:41 paralleluniverse wrote:
I said that stress tests were one of the ways of dealing with tail risks. But there are others.

Insurance companies deal with catastrophes all the time, (e.g. the Japanese earthquake and tsunami a couple of years ago). Why don't they go bust? No, AIG doesn't count, because it was the investment division, gambling with financial instruments, that blew up, not their insurance business. The main reason is because insurance companies know how to manage tail risk.

Stress testing is one method. Another method is reinsurance, i.e. the insurance company buys insurance from another insurance company. The analogous concept in finance is using derivatives to hedge your position. Another is catastrophe bonds. The analogous concept in finance is a MBS. So why hasn't reinsurance and cat bonds destroyed insurance, the way that derivatives and MBSs have destroy finance?

Because natural catastrophes, of the sort that insurance companies deal with aren't correlated, whereas everything is correlated in finance. A tsunami in Japan doesn't cause a hurricane in New York and a volcano eruption in Italy, whereas a large bankruptcy causes contagion to flow throughout the financial system.

So this proves my point: it's not tail risk that was the main problem, it's correlation. It's possible to successfully deal with tail risk when things aren't correlated, just look at the insurance companies.

Disasters aren't tied together but insured disasters can have the same contagion effect:

Disasters lead to the insurance company selling assets to raise cash. Their asset sales drive down the value of the assets. As asset prices decline the insurance company loses its ability to make good on claims. Insured assets then become uninsured assets and their value declines. So on and so forth...

Now in the real world this is never a meaningful problem, but I think that's because insurance just isn't that big relative to the overall market and not that they have some superior structure.
sam!zdat
Profile Blog Joined October 2010
United States5559 Posts
Last Edited: 2013-02-20 19:24:39
February 20 2013 18:57 GMT
#2353
On February 20 2013 20:32 paralleluniverse wrote:
Financial math is not "flimsy mathematics". In fact, it's some of the most complicated and heavily research math out there.


sounds like some high priesthood shit to me man. If your math is based on stupid premises (like the efficient markets hypothesis) it's flimsy, I don't care how complicated it is or how many fancy symbols it has. It's still bullshit.

You say I rage against something I don't understand. Ok. Well. I'm an extremely intelligent person who doesn't want to devote his life to studying finance, but I've peen putting an entirely non-trivial amount of effort over the last year into understanding this stuff (because, you know, the total failure of this system has been a major event in my life), reading a lot of economic history and things like that, and I think it's a load of bunk, no matter how "complicated" it might be.

Don't tell me it must be right and I must be wrong, because it's too "complicated" for a silly child like me to understand. That's just some obscurantist bullshit. You tell me why I should trust any financiers, when they get to fuck over an entire civilization and laugh to the bank.

I don't have to understand all the technical details to know that you people are full of shit. Any idiot can see that the foundational premises of mainstream economic theory are philosophical non-starters. Rational choice theory? Efficient markets? please, tell me another

In fact, the more "complicated" you tell me it is, the less I trust you, because I don't think any of you are smart enough to deal with something that "complicated" (you can't be, because you think people are rational actors, and any idiot knows that's not true). I think how "complicated" it is is precisely the problem, because you toy with something you do not understand, and the rest of us pay the price. The more "complicated" it is, the more chances it has for History to come in and burn your little tower to the ground.

On February 20 2013 20:52 paralleluniverse wrote:
Before you rage, I suggest you learn what it is that you're raging against.


I AM, you smug suit, I just can't express it that well. Recommend me a book.

When this first happened, and everybody was raging and occupying and stuff, I sat out. I said, "what do I know?" Then I learned some things, and NOW I'm raging. I got a right to be angry, because our world is FUCKED UP, and a big part of that is because of people who wear suits and have degrees in economics being fools and worse.

edit: I'm well aware that I'm out of my territory here. I'm not pretending to really understand this stuff. But what I don't do is trust some suit when he waves his hands in my face and tells me he understands.

Look

Before 2008, some people said "we have some complicated math, we understand everything, trust us."

Now they say, "we have some complicated math, we understand everything, trust us."

What the fuck am I supposed to think?

edit: I concede all questions about math, but I still think I'm right.
shikata ga nai
corumjhaelen
Profile Blog Joined October 2009
France6884 Posts
Last Edited: 2013-02-20 19:51:36
February 20 2013 19:32 GMT
#2354
A summary of my economics course :
We choose a model, compute a few derivative, find some extrema, compute a few formula and o wonder ! we can check that what we've found doesn't contradict our model's hypothesis, hurrah. We then vaguely inform the students that there are people out there who are trying to do number crunching and small scale experiments to test those hypothesis, which can usually be said as "could be worse".
We then turn those students into traders.

I wonder how that can go wrong.

Edit : I forgot to add that wome ad hoc hypothesis were usually conjured to explain us that an obvious flaw in the model could be modelized a bit.
I also that finance as models far more complicated than that, but I'm not convinced that using more complicated maths can even begin to close the gap between the models and reality.
There were some interesting things described in my microeconomics course though, but they add more to do with psychology than pure economics anyway.
‎numquam se plus agere quam nihil cum ageret, numquam minus solum esse quam cum solus esset
sam!zdat
Profile Blog Joined October 2010
United States5559 Posts
February 20 2013 19:35 GMT
#2355
Well, when you award "Nobel Prizes" to people without first ever checking to see if their "complicated" model is empirically validated, then you know you've got a real winner of an academic discipline on your hands
shikata ga nai
aksfjh
Profile Joined November 2010
United States4853 Posts
February 20 2013 19:57 GMT
#2356
On February 21 2013 03:57 sam!zdat wrote:
Show nested quote +
On February 20 2013 20:32 paralleluniverse wrote:
Financial math is not "flimsy mathematics". In fact, it's some of the most complicated and heavily research math out there.


sounds like some high priesthood shit to me man. If your math is based on stupid premises (like the efficient markets hypothesis) it's flimsy, I don't care how complicated it is or how many fancy symbols it has. It's still bullshit.

You say I rage against something I don't understand. Ok. Well. I'm an extremely intelligent person who doesn't want to devote his life to studying finance, but I've peen putting an entirely non-trivial amount of effort over the last year into understanding this stuff (because, you know, the total failure of this system has been a major event in my life), reading a lot of economic history and things like that, and I think it's a load of bunk, no matter how "complicated" it might be.

Don't tell me it must be right and I must be wrong, because it's too "complicated" for a silly child like me to understand. That's just some obscurantist bullshit. You tell me why I should trust any financiers, when they get to fuck over an entire civilization and laugh to the bank.

I don't have to understand all the technical details to know that you people are full of shit. Any idiot can see that the foundational premises of mainstream economic theory are philosophical non-starters. Rational choice theory? Efficient markets? please, tell me another

In fact, the more "complicated" you tell me it is, the less I trust you, because I don't think any of you are smart enough to deal with something that "complicated" (you can't be, because you think people are rational actors, and any idiot knows that's not true). I think how "complicated" it is is precisely the problem, because you toy with something you do not understand, and the rest of us pay the price. The more "complicated" it is, the more chances it has for History to come in and burn your little tower to the ground.

Show nested quote +
On February 20 2013 20:52 paralleluniverse wrote:
Before you rage, I suggest you learn what it is that you're raging against.


I AM, you smug suit, I just can't express it that well. Recommend me a book.

When this first happened, and everybody was raging and occupying and stuff, I sat out. I said, "what do I know?" Then I learned some things, and NOW I'm raging. I got a right to be angry, because our world is FUCKED UP, and a big part of that is because of people who wear suits and have degrees in economics being fools and worse.

edit: I'm well aware that I'm out of my territory here. I'm not pretending to really understand this stuff. But what I don't do is trust some suit when he waves his hands in my face and tells me he understands.

Look

Before 2008, some people said "we have some complicated math, we understand everything, trust us."

Now they say, "we have some complicated math, we understand everything, trust us."

What the fuck am I supposed to think?

edit: I concede all questions about math, but I still think I'm right.

You should probably tune into the people that had the "math" right in the first place, or have admitted they missed something back in 2007-2008.

Also, those "simple" rules of economics you rail against are akin to many of the simple rules we have in physics, chemistry, and biology. You can approximate many of the physical laws, which are actually statistical probabilities, with very simple formulas and constants, and do so fairly well. You can present building a bridge as a few free-body diagrams to nearly anybody and have them understand the basics. However, building a bridge isn't that simple at all, and requires a TON of calculations of incredible complexity. The financial system works the same, and the sad part is that, in both areas, we've had trusted people screw up BIG and ruin thousands or millions of lives in both fields while KNOWING what was the right thing to do as a whole.
corumjhaelen
Profile Blog Joined October 2009
France6884 Posts
February 20 2013 20:07 GMT
#2357
There is a huge difference between economics and physics. In physics you can take the law of a folling corpse and check it against an experiment over over and over, which means that our model has something to do with reality. Once we have checked those laws on simple models, making predictions on more complicated stuff makes sense.
In economics, there is no simple experiment that I know of, capable of testing small hypothesis. You have to directly test your model against a very complicated reality.
And given that the bridge seems to fall down over over and over, I'm tempted to say that the hypothesis might suck, not the calculations.
‎numquam se plus agere quam nihil cum ageret, numquam minus solum esse quam cum solus esset
sam!zdat
Profile Blog Joined October 2010
United States5559 Posts
February 20 2013 20:14 GMT
#2358
it is not at all equivalent to an assumption in physics, it is a ludicrously fallacious assumption which exists only to allow us to build 'complicated' air castles that have nothing to do with reality, so we can go on pretending capitalism makes sense
shikata ga nai
oneofthem
Profile Blog Joined November 2005
Cayman Islands24199 Posts
February 20 2013 20:16 GMT
#2359
those simple rules are simple and 'intuitive' not because they are accurate, or empirically obtained (as are physics models), but because we as humans understand human action through a distinct mental framework, the agency-reason stuff. this is not complete or accurate, and is necessarily idealizing.
We have fed the heart on fantasies, the heart's grown brutal from the fare, more substance in our enmities than in our love
radiatoren
Profile Blog Joined March 2010
Denmark1907 Posts
February 20 2013 21:03 GMT
#2360
On February 20 2013 20:41 paralleluniverse wrote:
I said that stress tests were one of the ways of dealing with tail risks. But there are others.

Insurance companies deal with catastrophes all the time, (e.g. the Japanese earthquake and tsunami a couple of years ago). Why don't they go bust? No, AIG doesn't count, because it was the investment division, gambling with financial instruments, that blew up, not their insurance business. The main reason is because insurance companies know how to manage tail risk.

Stress testing is one method. Another method is reinsurance, i.e. the insurance company buys insurance from another insurance company. The analogous concept in finance is using derivatives to hedge your position. Another is catastrophe bonds. The analogous concept in finance is a MBS. So why hasn't reinsurance and cat bonds destroyed insurance, the way that derivatives and MBSs have destroy finance?

Because natural catastrophes, of the sort that insurance companies deal with aren't correlated, whereas everything is correlated in finance. A tsunami in Japan doesn't cause a hurricane in New York and a volcano eruption in Italy, whereas a large bankruptcy causes contagion to flow throughout the financial system.

So this proves my point: it's not tail risk that was the main problem, it's correlation. It's possible to successfully deal with tail risk when things aren't correlated, just look at the insurance companies.

I am not 100% convinced that it was necessarily the financial worlds cross-correlations that caused the crash. I am more of a linchpin theorist, believing the higher order derivatives primarily and to a lesser extend the first order derivatives getting valued completely independently from the primary source of the stock. When the underlying industry is revealed to be worth far less than expected, it will have so much larger an extend on the market, when the ripple effects of "insurance" bonds go into effect. Also, having products with directly destructive value, as a bond basically counting on a crash, is probably not a good idea.

The cross-correlation is among other things caused by the insurance culture among bonds and the total amount of money invested in the market. What I am saying is that the correlations you see on the stock markets is a direct result of the products on the market and how many different entities are affected. TBTF is a result of these correlations so why not set a max for how much a single cluster entity can buy of their own financial products without having physical assests to back it up and why not limit the insurance to certain levels of the physical background value of the stock? That would force them to invest broader and barring inversters fleeing it will be a much more stable market.
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