Below is a 6 month chart of Canadian dollar compared to DOW.
Notice that the two are nearly perfectly correlated. Some correlation is expected there, after all American companies are a large component of Canadian exports, but it should be nothing like 100%!
This correlation is consistent with the big market participants choosing these two assets to play in, so that when they buy or sell they always allocate their capital in the same proportions. They also choose when to buy or sell not based not on fundamental economic events, but on the access to money - or maybe even based on a whim.
This means that the prices in the markets are driven entirely by the speculation, and lost their relationship to fundamentals. Unless you have close ties to the circle of traders who are driving the market behavior, you have no business staying invested in stocks. However, if you are in that circle, you can trade virtually risk free. That may explain, for example, why Goldman Sachs had zero days with trading losses last year.
Sunday, May 30, 2010
Tuesday, May 25, 2010
Why GDP in a service economy cannot grow, or productivity paradox explained.
In Economics, Productivity Paradox (why introduction of computers resulted in no productivity increase) still has no widely accepted explanation. Naturally, I must post my own here. I think this longish essay will be worth the read.
First, imagine an economy where over 50% of people are employed in food production; most of others are creating tools and houses; and "service sector" is an expression that nobody has heard. If you think this has nothing in common with the economies of today's developed countries, you are absolutely right. Yet this 19th century economy is exactly what people had to work with when most of the traditional economic theory was founded. In this economy, it is easy to calculate things. If total amount of money is M and total product is P, then worker's salary is typically (P/M)*V, where V is how much product that particular worker is responsible for. If you then add up all the salaries in the country, you get back something that is directly related to the total amount of physical goods produced. This is the GDP, measured in dollars, and it captures the country's output very well. Let's call this exhibit Economy #1.
Now fast forward to the day when technology advanced to the point where all fertile land can be managed by 2% of the population; all necessary clothing can be made by another 2%; all required tools and houses can be built by another 6%; what about the other 90% who have nothing to do?
That's when the service economy is born, where most work is done not because it's needed, but simply in order to justify getting your fair share of food and other stuff. Most jobs pay based on how long they take to complete and not on their "usefulness", and it is therefore possible for a completely useless service (such as real estate brokerage) to be priced higher than somewhat useful ones (like lawn mowing and hair cutting). Producers of real goods have no choice but to go along with the program because otherwise they would not be able to sell anything to anyone (and would get lynched by an angry mob, to boot). In this economy, most of the product is intangible; and the total physical product P is a negligibly small part of the economy. In fact, the only thing produced by this economy is the time that people spend servicing each other. If total population is Y and total revolving money supply is M, then the average salary in this economy is going to be simply M/Y - because it's the only way to distribute food and shelter evenly. Notice how drastically different that is from our Economy #1. Even though some people (*cough* lawyers) will be better than others at marketing their time, the average is always going to be M/Y, and if you measure the GDP traditionally, by adding people's salaries, then total GDP is now completely decoupled from the actual physical product, and depends only on the money supply. In this economy it is practically impossible for the real output to grow, because the only significant product is people's time, and that is a fairly inflexible thing. And while you can "improve" GDP by creating more people or making them work more hours, it is impossible to change the productivity - because it will always be proportional to M/Y, no matter what happens to the total amount of tangible goods! And since we measure productivity in money, we will always get the same number back.
Productivity paradox is explained trivially once you understand that. If you add computers to an office that employs 100 people and it now takes 33 people to do the same job, it does not triple the salary of the original 100 workers, because remember, they are not producing anything, they are just trying to sell their time to justify getting the appropriate amount of food and physical goods. If their jobs suddenly paid better, more and more people would apply for them and drive the salary back to average. So what must happen then is 77 workers have to be laid off and go on to become personal trainers, dog walkers and so forth. Measuring the productivity of the original 100 workers will give you exactly the same number before and after - because we measure it in money. The elusive productivity growth is actually represented by more services becoming available - but we have no tools to measure that.
You might ask, why is reported GDP changing, if productivity must remain constant?
Since money supply M is always changing, governments adjust productivity by inflation. However, they don't use change in M as their inflation number (and it's impossible to measure it anyway). Instead, a basket of goods is used to approximately measure the change in money supply, and of course it's a very crude proxy. So all changes in GDP that we are observing are actually just mismeasurement of inflation.
As a bonus, we can now explain another paradox. You may have heard that pumping money into economy increases GDP, but in traditional economic theory that shouldn't work. In Economy #1, so many people are producing food and tools because they are actually hard to produce in low-tech society, and there isn't enough for everyone. So pumping money into economy (i.e. giving people more money) instantly increases demand for food and tools, and that drives up inflation by the same amount as the money supply, so total GDP (adjusted by inflation) does not budge.
However, if you add money into economy #2, people have no incentive to spend it on food or cloth, since people are already eating more than they need, and have more clothes than they can wear. So instead they dump their new money into things like bigger houses, they bid up education and health services, they buy stocks. Many of those things will not be (fully) captured by the traditional basket-of-good inflation measures, and therefore the GDP number is going to swell up instead. But it's all just an illusion - simply a mismeasurement of inflation. And that is exactly what happened in the USA in 1995-2006 and it explains how it's possible for the standard of living do stagnate during a period of GDP "growth".
First, imagine an economy where over 50% of people are employed in food production; most of others are creating tools and houses; and "service sector" is an expression that nobody has heard. If you think this has nothing in common with the economies of today's developed countries, you are absolutely right. Yet this 19th century economy is exactly what people had to work with when most of the traditional economic theory was founded. In this economy, it is easy to calculate things. If total amount of money is M and total product is P, then worker's salary is typically (P/M)*V, where V is how much product that particular worker is responsible for. If you then add up all the salaries in the country, you get back something that is directly related to the total amount of physical goods produced. This is the GDP, measured in dollars, and it captures the country's output very well. Let's call this exhibit Economy #1.
Now fast forward to the day when technology advanced to the point where all fertile land can be managed by 2% of the population; all necessary clothing can be made by another 2%; all required tools and houses can be built by another 6%; what about the other 90% who have nothing to do?
That's when the service economy is born, where most work is done not because it's needed, but simply in order to justify getting your fair share of food and other stuff. Most jobs pay based on how long they take to complete and not on their "usefulness", and it is therefore possible for a completely useless service (such as real estate brokerage) to be priced higher than somewhat useful ones (like lawn mowing and hair cutting). Producers of real goods have no choice but to go along with the program because otherwise they would not be able to sell anything to anyone (and would get lynched by an angry mob, to boot). In this economy, most of the product is intangible; and the total physical product P is a negligibly small part of the economy. In fact, the only thing produced by this economy is the time that people spend servicing each other. If total population is Y and total revolving money supply is M, then the average salary in this economy is going to be simply M/Y - because it's the only way to distribute food and shelter evenly. Notice how drastically different that is from our Economy #1. Even though some people (*cough* lawyers) will be better than others at marketing their time, the average is always going to be M/Y, and if you measure the GDP traditionally, by adding people's salaries, then total GDP is now completely decoupled from the actual physical product, and depends only on the money supply. In this economy it is practically impossible for the real output to grow, because the only significant product is people's time, and that is a fairly inflexible thing. And while you can "improve" GDP by creating more people or making them work more hours, it is impossible to change the productivity - because it will always be proportional to M/Y, no matter what happens to the total amount of tangible goods! And since we measure productivity in money, we will always get the same number back.
Productivity paradox is explained trivially once you understand that. If you add computers to an office that employs 100 people and it now takes 33 people to do the same job, it does not triple the salary of the original 100 workers, because remember, they are not producing anything, they are just trying to sell their time to justify getting the appropriate amount of food and physical goods. If their jobs suddenly paid better, more and more people would apply for them and drive the salary back to average. So what must happen then is 77 workers have to be laid off and go on to become personal trainers, dog walkers and so forth. Measuring the productivity of the original 100 workers will give you exactly the same number before and after - because we measure it in money. The elusive productivity growth is actually represented by more services becoming available - but we have no tools to measure that.
You might ask, why is reported GDP changing, if productivity must remain constant?
Since money supply M is always changing, governments adjust productivity by inflation. However, they don't use change in M as their inflation number (and it's impossible to measure it anyway). Instead, a basket of goods is used to approximately measure the change in money supply, and of course it's a very crude proxy. So all changes in GDP that we are observing are actually just mismeasurement of inflation.
As a bonus, we can now explain another paradox. You may have heard that pumping money into economy increases GDP, but in traditional economic theory that shouldn't work. In Economy #1, so many people are producing food and tools because they are actually hard to produce in low-tech society, and there isn't enough for everyone. So pumping money into economy (i.e. giving people more money) instantly increases demand for food and tools, and that drives up inflation by the same amount as the money supply, so total GDP (adjusted by inflation) does not budge.
However, if you add money into economy #2, people have no incentive to spend it on food or cloth, since people are already eating more than they need, and have more clothes than they can wear. So instead they dump their new money into things like bigger houses, they bid up education and health services, they buy stocks. Many of those things will not be (fully) captured by the traditional basket-of-good inflation measures, and therefore the GDP number is going to swell up instead. But it's all just an illusion - simply a mismeasurement of inflation. And that is exactly what happened in the USA in 1995-2006 and it explains how it's possible for the standard of living do stagnate during a period of GDP "growth".
Sunday, May 23, 2010
Thursday, March 18, 2010
So can we make it official that there is a LOT of bad science out there?
Something that I have been noticed many years ago when I tried looking at some papers on the social and medical studies is that very frequently they perform statistical analysis incorrectly, and draw conclusions unsupported by their own data.
Well I just found a great article which not only fully describes this problem, but gives a lot more additional insight to offer: Odds Are, Its Wrong.
Choice quote from the article:
Let it be noted, however, that statistical analysis is usually done much more rigorously and soundly in fields like Physics and Chemistry. But it is only achieved by vigilance of the reviewers and constant emphasis on that fact that evaluating the uncertainties in your research is much more important that the actual result. I remember that on almost every paper I worked on, 80% of the total research time was spent analyzing the probabilities of your results being wrong.
Well I just found a great article which not only fully describes this problem, but gives a lot more additional insight to offer: Odds Are, Its Wrong.
Choice quote from the article:
In fact, if you believe what you read in the scientific literature, you shouldn’t believe what you read in the scientific literature.“There is increasing concern,” declared epidemiologist John Ioannidis in a highly cited 2005 paper in PLoS Medicine, “that in modern research, false findings may be the majority or even the vast majority of published research claims.”Ioannidis claimed to prove that more than half of published findings are false, but his analysis came under fire for statistical shortcomings of its own.Now when I want to explain people why I don't believe the results of most recent medical studies, I will just give them this link!
Let it be noted, however, that statistical analysis is usually done much more rigorously and soundly in fields like Physics and Chemistry. But it is only achieved by vigilance of the reviewers and constant emphasis on that fact that evaluating the uncertainties in your research is much more important that the actual result. I remember that on almost every paper I worked on, 80% of the total research time was spent analyzing the probabilities of your results being wrong.
Wednesday, February 18, 2009
Is Starbucks really a charity? Or a measure of our laziness?
Here's something I wondered about after visiting a few Starbucks in New York City: when you drop in for a cup of coffee, you are paying 2-3$ for something that only has about 10 cents worth of materials in it, and something that you could create yourself in less time than it actually takes you to go to the store. Most people seem not to use Starbucks stores for socializing, and indeed most stores don't even have enough space provided. So you are getting something that is intrinsically worth 10 cents, not saving any time, and not paying for space to socialize.
It seems to me then that you can view Starbucks Coffee from one of two angles:
It seems to me then that you can view Starbucks Coffee from one of two angles:
- Starbucks is really a glorified charity where people go to deposit their 3$ every day so that someone out there could have a medical insurance and a minimal wage. Cup of coffee in this context is like a t-shirt you get at local fund-raising event for donating. Or...
- The actual value people get out of Starbucks is the excuse to get away from work for 10 minutes. Then the average cost of the cup of coffee is the price people are willing to pay for a break.
Saturday, February 14, 2009
Happy Valentine's Day!
Sign of the times, from New York Times:
[...] on Yahoo, searches for “cheap engagement rings” are “off the charts” compared with a year ago, according to Vera Chan, a trend analyst for the company.Other searches that are up over last year include “cheap lingerie,” “free Valentine’s Day cards” and “homemade Valentine’s Day gifts.”Cheap engagement rings sounds almost like an oxymoron. But I liked that part:
Personal jewelry is being replaced by personal poems.Maybe that's good news. So on that happy note, happy Valentine's Day to everyone!
Friday, February 13, 2009
How big is a trillion USD, part II.
Now that times are getting leaner, and bailouts are getting bigger, I decided I needed a sequel to my earlier post about how much a trillion dollars can buy you. That post was about weaponry, but how about food?
So I looked at the world's total agricultural output (1.87$ trillion) and discovered that for a "measly" trillion dollars you could feed entire world for half a year.
This provides a tasty yardstick for the amount of money Congress spent on stimulating the financials (700$ billion plus 800$ billion to be added soon), or the total amount of guarantees that Fed has given to the banks (over 12$ trillion).
So I looked at the world's total agricultural output (1.87$ trillion) and discovered that for a "measly" trillion dollars you could feed entire world for half a year.
This provides a tasty yardstick for the amount of money Congress spent on stimulating the financials (700$ billion plus 800$ billion to be added soon), or the total amount of guarantees that Fed has given to the banks (over 12$ trillion).
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