Graph For the Day: Is QE4 Far Away?
Here is an update of the graphs I used here to point to the link from QE to the stock market.
The market is down 10% since this time last year. If it stays down and falls further, look for a spike in US unemployment. I showed here that the stock market Granger causes the unemployment rate. Surely the Fed is aware of that by now. The question is: do they accept my causal explanation that sees low confidence as a self-fulfilling prophecy.
To the Fed and the Treasury: Can we Please Play Cooperatively?
How should government respond to a situation of high unemployment and low growth? If you are a classical RBC kind of person: the answer is simple. Get out of the way. Let the market perform its magic.
Many Keynesian economists, journalists and bloggers have argued that, when at the zero lower bound (ZLB) we must repair our infrastructure. Build roads. Build bridges. Build airports. They argue that, when the overnight rate is zero and the thirty year rate is lower than it has been for a century, public infrastructure should be paid for by borrowing at the long end of the yield curve. Float thirty year bonds. Better still: issue Consols that will never be retired.
While I agree that public expenditure in a depression may be helpful: issuing long bonds is not the right way to do it. I agree with Adair Turner that it is better to finance an expansion by printing money or borrowing in the Treasury bill market. Better still: as I argued in How the Economy Works and as Mark Blyth and Eric Lonergan have argued (here) print money and give it to those who know how to spend it: that would be you and me.
Borrowing at the long end of the yield curve is a bad idea because there are still active private participants in that market. There is not one interest rate: there are many. And although it is not possible to crowd out private expenditure at the short end of the yield curve; it is still possible to crowd out private expenditure at the long end.
The maturity structure of debt in the hands of the public matters. As I argue here, it matters because our children and our grandchildren cannot participate in financial markets that open before they are born.
Once one recognizes that the way that public expenditure is financed matters: it is a short step to recognizing that it is all that matters. If the Treasury increases the stock of thirty year bonds in the hands of the public, it will drive up long yields and crowd out private expenditure. If the Treasury reduces the stock of thirty year bonds held by the public, it will lower long yields and crowd in private expenditure. That leads to the argument for Qualitative Easing. A policy that removes long bonds (or other long dated risky securities) from the hands of the public and replaces them with cash or with Treasury bills, will crowd in private expenditure and increase aggregate demand.
Critics of QE have argued that QE3 was less effective than QE2 and QE1. That is true. But Fed intervention in the asset markets was undone by the Treasury that was simultaneously changing the yield composition of its debt to take advantage of low long-term interest rates. My message to the Fed and the Treasury is simple: can we please play cooperatively? Much more coming soon on this topic in a forthcoming book.
If you are a New Keynesian sticky price kind of person: the answer is also simple. Let the Fed do its magic by lowering the interest rate to stimulate aggregate demand. I have a different answer: replace long dated Treasury bonds in the hands of the public with cash or with short dated Treasury bills.
Many Keynesian economists, journalists and bloggers have argued that, when at the zero lower bound (ZLB) we must repair our infrastructure. Build roads. Build bridges. Build airports. They argue that, when the overnight rate is zero and the thirty year rate is lower than it has been for a century, public infrastructure should be paid for by borrowing at the long end of the yield curve. Float thirty year bonds. Better still: issue Consols that will never be retired.
While I agree that public expenditure in a depression may be helpful: issuing long bonds is not the right way to do it. I agree with Adair Turner that it is better to finance an expansion by printing money or borrowing in the Treasury bill market. Better still: as I argued in How the Economy Works and as Mark Blyth and Eric Lonergan have argued (here) print money and give it to those who know how to spend it: that would be you and me.
Borrowing at the long end of the yield curve is a bad idea because there are still active private participants in that market. There is not one interest rate: there are many. And although it is not possible to crowd out private expenditure at the short end of the yield curve; it is still possible to crowd out private expenditure at the long end.
The maturity structure of debt in the hands of the public matters. As I argue here, it matters because our children and our grandchildren cannot participate in financial markets that open before they are born.
Once one recognizes that the way that public expenditure is financed matters: it is a short step to recognizing that it is all that matters. If the Treasury increases the stock of thirty year bonds in the hands of the public, it will drive up long yields and crowd out private expenditure. If the Treasury reduces the stock of thirty year bonds held by the public, it will lower long yields and crowd in private expenditure. That leads to the argument for Qualitative Easing. A policy that removes long bonds (or other long dated risky securities) from the hands of the public and replaces them with cash or with Treasury bills, will crowd in private expenditure and increase aggregate demand.
Critics of QE have argued that QE3 was less effective than QE2 and QE1. That is true. But Fed intervention in the asset markets was undone by the Treasury that was simultaneously changing the yield composition of its debt to take advantage of low long-term interest rates. My message to the Fed and the Treasury is simple: can we please play cooperatively? Much more coming soon on this topic in a forthcoming book.
Please: Lets Agree to Speak the Same Language
Olivier Blanchard finds the drop in the value of American stocks hard to explain in a framework where only fundamentals matter. He concludes that ‘herding’ is to blame.
Can we please agree on terminology? Animal spirits, confidence, sunspots, self-fulfilling prophecies and, sentiments have all been used to mean shifts in markets caused by factors that are non-fundamental. Now Olivier adds herding as one more term. (To be fair, that term too has been used before in the finance literature). Why this smorgasbord of synonyms?
Beatrice Cherrier and Aurélian Saïdi have a nice survey of the history of sunspots. The idea that non fundamental factors can have real effects, was developed at the University of Pennsylvania in the 1980s at about the same time that the Real Business Cycle model took off. According to the RBC school, recessions are times of technological regress caused by shocks to technology. According to the sunspot school, recessions are times when belief shifts move the economy from one equilibrium to another. Initially, both paradigms flourished but the RBC agenda pulled ahead and stayed ahead for thirty years. That is now changing.
Why this divergence in fortunes? According to Cherrier and Saïdi there were three major reasons why the RBC program pulled ahead. 1) there was no single strong individual to promote the sunspot agenda and the three initial leaders, Costas Azariadis, Dave Cass and Karl Shell could not even agree among themselves. Azariadis used the term self-fulfilling prophecies. Cass and Shell used sunspots. 2) The literature on sunspots was technically demanding and the protagonists made no attempt to explain it to a non technical audience. 3) Cass, Shell and Azariadis were not interested in empiricism and they did not make an effort to promote their agenda at central banks or at applied groups such as the National Bureau of Economic Research.
My own work on self-fulfilling prophecies began at Penn in the early 80s and I have made the effort to promote this agenda at central banks and to promote these ideas in a series of books and coauthored papers. My research agenda has been devoted to explaining these ideas to a non technical audience and to providing a link with empirical work. My coauthors on this agenda include Michael Woodford, Jess Benhabib and Jang-Ting Guo. Why weren’t we more aggressive in promoting the agenda? I can only speak for myself; but I realized early on that, if we accept the idea that business cycles are just autocorrelated disturbances around the natural rate of unemployment, that a sunspot shock is one more disturbance that takes its place alongside productivity shocks, tastes shocks, news shocks and monetary disturbances.
In a survey paper published here, I distinguish between first and second generation models of endogenous business cycles. I use that term to mean models driven by non-fundamentals (yes, I too am guilty of adding one more synonym). In first generation models, sunspots are one more shock that temporarily shifts the economy away from the natural rate of unemployment. In second generation models, movements away from the natural rate are permanent. There is no self-correcting mechanism.
If you are a graduate student or a researcher who is working, or planning to work, in this area, I have a plea. Can we at least agree to add no more words to refer to the same idea? Please: Lets agree to speak the same language and, in so doing, give credit to those who laid the foundations for this agenda.
Can we please agree on terminology? Animal spirits, confidence, sunspots, self-fulfilling prophecies and, sentiments have all been used to mean shifts in markets caused by factors that are non-fundamental. Now Olivier adds herding as one more term. (To be fair, that term too has been used before in the finance literature). Why this smorgasbord of synonyms?
Beatrice Cherrier and Aurélian Saïdi have a nice survey of the history of sunspots. The idea that non fundamental factors can have real effects, was developed at the University of Pennsylvania in the 1980s at about the same time that the Real Business Cycle model took off. According to the RBC school, recessions are times of technological regress caused by shocks to technology. According to the sunspot school, recessions are times when belief shifts move the economy from one equilibrium to another. Initially, both paradigms flourished but the RBC agenda pulled ahead and stayed ahead for thirty years. That is now changing.
Why this divergence in fortunes? According to Cherrier and Saïdi there were three major reasons why the RBC program pulled ahead. 1) there was no single strong individual to promote the sunspot agenda and the three initial leaders, Costas Azariadis, Dave Cass and Karl Shell could not even agree among themselves. Azariadis used the term self-fulfilling prophecies. Cass and Shell used sunspots. 2) The literature on sunspots was technically demanding and the protagonists made no attempt to explain it to a non technical audience. 3) Cass, Shell and Azariadis were not interested in empiricism and they did not make an effort to promote their agenda at central banks or at applied groups such as the National Bureau of Economic Research.
My own work on self-fulfilling prophecies began at Penn in the early 80s and I have made the effort to promote this agenda at central banks and to promote these ideas in a series of books and coauthored papers. My research agenda has been devoted to explaining these ideas to a non technical audience and to providing a link with empirical work. My coauthors on this agenda include Michael Woodford, Jess Benhabib and Jang-Ting Guo. Why weren’t we more aggressive in promoting the agenda? I can only speak for myself; but I realized early on that, if we accept the idea that business cycles are just autocorrelated disturbances around the natural rate of unemployment, that a sunspot shock is one more disturbance that takes its place alongside productivity shocks, tastes shocks, news shocks and monetary disturbances.
In a survey paper published here, I distinguish between first and second generation models of endogenous business cycles. I use that term to mean models driven by non-fundamentals (yes, I too am guilty of adding one more synonym). In first generation models, sunspots are one more shock that temporarily shifts the economy away from the natural rate of unemployment. In second generation models, movements away from the natural rate are permanent. There is no self-correcting mechanism.
If you are a graduate student or a researcher who is working, or planning to work, in this area, I have a plea. Can we at least agree to add no more words to refer to the same idea? Please: Lets agree to speak the same language and, in so doing, give credit to those who laid the foundations for this agenda.
Why a Bottle of Beaujolais is not the same as a Collateralized Debt Obligation (Updated May 2016)
I have updated this blogpost with a link to the new version of my paper. The new revised paper has the title of "Pricing Assets in an Economy with Two Types of People".
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Brad DeLong kindly tweeted a link to a working paper (updated to new version May 21st 2016) I wrote last year. Matt Yglesias asks Brad to explain the paper. Let me take a stab at that.
Every graduate student of economics learns, early in her career, that markets work well. The idea that ‘markets work well’ has a well defined meaning: allocating resources by buying and selling goods in free markets does at least as well as any other way of allocating them. Let me be more precise.
A society, to an economist, is a bunch of people and a bunch of goods. A good is something that people want. For example, a ticket to see the latest Star Wars movie is a good. A bottle of Beaujolais is a good: and so is a banana. I could go on. But the basic idea here is that everyone in society has preferences over different bundles of goods. I personally would prefer a bottle of Beaujolais and a banana to a trip to the movies: but you may rank things differently.
We need a way of thinking about abstract ways of allocating goods amongst all of the people in the society that is general enough to include the activity of buying and selling goods in markets as one possible allocation mechanism. Economists think about that idea by introducing an abstract individual that we call the social planner. The social planner is a non-existent benevolent dictator who knows the preferences of every person in society.
Imagine that we dump all of the goods that exist in a big pile in the middle of a very large imaginary room. Now let the social planner allocate them to people. For example, she might give everyone equal amounts of every good. That might sound like a good idea, but some people might not drink wine. They would prefer an extra loaf of bread to a bottle of Beaujolais. That idea suggests that some ways of allocating goods are better than others. If the social planner finds a way of allocating goods among people that can’t be improved on, without making someone in society worse off, we say that that allocation is Pareto Optimal.
There is not just one Pareto Optimal way of allocating goods. There are many. And some of them are very bad from a moral perspective. For example, if the social planner gives everything to one selfish person: that allocation is Pareto Optimal. Why? Because, in order to give food to starving children we need to take it away from the selfish person. And that, by assumption, makes him worse off. Pareto Optimality is a very weak concept.
But although Pareto Optimality a very weak concept it is an interesting concept because, if an allocation of goods is not Pareto Optimal, it is very bad indeed. Everybody in society, from the very richest to the very poorest person, could agree upon an intervention that would change things for the better.
Graduate students of economics learn, early in their careers, that markets allocations are Pareto Optimal. Markets may not produce outcomes that you or I judge to be morally acceptable. But they do not leave room for any obvious improvements that we could all agree upon. That idea, with a little reflection, seems to me to be obviously wrong. The ‘Global sunspots…’ paper provides one reason why.
Ok. That's the background. To understand my ‘Global sunspots paper…’ I need to go a little further by elaborating on the idea of a ‘good’.
Writing in 1959, the Nobel laureate, Gerard Debreu, suggested that the theory of markets that I just explained, is much more general than it at first seems. Debreu asked us to think of a good in a new way. A loaf of bread is not just a loaf of bread. It is indexed by location, date and state of nature. A loaf of bread in Paris on March 9th 2016 in the rain, is a different good from a loaf of bread in London England on July 20th if the sun is shining.
Financial economists took that idea and they ran with it. They argued that the financial markets provide people with ways of trading goods across space, time and states of nature. And because market allocations are Pareto Optimal, there is no possible intervention in the financial markets that can make us all better off. Government should get out of the way and let the magic of the market do what it does best.
According to financial economists, the financial instruments that are traded on Wall Street are unequivocally good. Equities, bonds, and exotic derivatives like collateralized debt obligations (CDOs) all provide opportunities that connect people across time and space. To justify their confidence in the magic of the market, financial economists appeal to the mantra that they learn as graduate students: market allocations are Pareto Optimal. What could possibly be wrong with that?
The problem is a simple and obvious one. In order for markets to work well: we must all be able to take part in them. One of the most important functions of the financial markets is the ability to make bets on the future. If I think that the S&P 500 will crash next month, but you don’t, we have an opportunity to trade. And if I face different outcomes if the market crashes, or if it booms, I will try to insure myself by selling the market short in boom states and paying for that trade by buying the market in the crash state. It is my ability to make those trades, which ensures that market movements are not capricious. If a crash occurs, it occurs for a reason. And that reason is connected with the fundamentals of the economy. That, at last, is the theory. That theory is wrong.
That’s where sunspots come in. Writing in 1983, David Cass and Karl Shell picked up on a phrase that had been used much earlier by Stanley Jevons. Jevons thought that sunspots influence the business cycle through their effect on the weather. Cass and Shell meant something very different. They used the term as a spoof to mean capricious movements in market prices, and in the goods that we all consume, that are unrelated to fundamentals.
That leads me to the conclusion of my global sunspots paper. Because we cannot trade in financial markets that open before we are born, most of the movements in financial markets are Pareto inefficient. Financial markets go up. Financial markets go down. If you are lucky enough to enter the labor market in a boom; you will have a happy and prosperous future. If your first job occurs in the wake of a financial crisis: tough luck.
A bottle of Beaujolais is not the same as a Collateralized Debt Obligation. Why? Because trades in CDOs affect the welfare of the unborn: and the unborn are not around to trade in the CDO market. Stay tuned. I have much more to say about this idea in my forthcoming book ‘Prosperity for All’, to be published by Oxford University Press in 2016.
-----------------------------------------
Brad DeLong kindly tweeted a link to a working paper (updated to new version May 21st 2016) I wrote last year. Matt Yglesias asks Brad to explain the paper. Let me take a stab at that.
Every graduate student of economics learns, early in her career, that markets work well. The idea that ‘markets work well’ has a well defined meaning: allocating resources by buying and selling goods in free markets does at least as well as any other way of allocating them. Let me be more precise.
A society, to an economist, is a bunch of people and a bunch of goods. A good is something that people want. For example, a ticket to see the latest Star Wars movie is a good. A bottle of Beaujolais is a good: and so is a banana. I could go on. But the basic idea here is that everyone in society has preferences over different bundles of goods. I personally would prefer a bottle of Beaujolais and a banana to a trip to the movies: but you may rank things differently.
We need a way of thinking about abstract ways of allocating goods amongst all of the people in the society that is general enough to include the activity of buying and selling goods in markets as one possible allocation mechanism. Economists think about that idea by introducing an abstract individual that we call the social planner. The social planner is a non-existent benevolent dictator who knows the preferences of every person in society.
Imagine that we dump all of the goods that exist in a big pile in the middle of a very large imaginary room. Now let the social planner allocate them to people. For example, she might give everyone equal amounts of every good. That might sound like a good idea, but some people might not drink wine. They would prefer an extra loaf of bread to a bottle of Beaujolais. That idea suggests that some ways of allocating goods are better than others. If the social planner finds a way of allocating goods among people that can’t be improved on, without making someone in society worse off, we say that that allocation is Pareto Optimal.
There is not just one Pareto Optimal way of allocating goods. There are many. And some of them are very bad from a moral perspective. For example, if the social planner gives everything to one selfish person: that allocation is Pareto Optimal. Why? Because, in order to give food to starving children we need to take it away from the selfish person. And that, by assumption, makes him worse off. Pareto Optimality is a very weak concept.
But although Pareto Optimality a very weak concept it is an interesting concept because, if an allocation of goods is not Pareto Optimal, it is very bad indeed. Everybody in society, from the very richest to the very poorest person, could agree upon an intervention that would change things for the better.
Graduate students of economics learn, early in their careers, that markets allocations are Pareto Optimal. Markets may not produce outcomes that you or I judge to be morally acceptable. But they do not leave room for any obvious improvements that we could all agree upon. That idea, with a little reflection, seems to me to be obviously wrong. The ‘Global sunspots…’ paper provides one reason why.
Ok. That's the background. To understand my ‘Global sunspots paper…’ I need to go a little further by elaborating on the idea of a ‘good’.
Writing in 1959, the Nobel laureate, Gerard Debreu, suggested that the theory of markets that I just explained, is much more general than it at first seems. Debreu asked us to think of a good in a new way. A loaf of bread is not just a loaf of bread. It is indexed by location, date and state of nature. A loaf of bread in Paris on March 9th 2016 in the rain, is a different good from a loaf of bread in London England on July 20th if the sun is shining.
Financial economists took that idea and they ran with it. They argued that the financial markets provide people with ways of trading goods across space, time and states of nature. And because market allocations are Pareto Optimal, there is no possible intervention in the financial markets that can make us all better off. Government should get out of the way and let the magic of the market do what it does best.
According to financial economists, the financial instruments that are traded on Wall Street are unequivocally good. Equities, bonds, and exotic derivatives like collateralized debt obligations (CDOs) all provide opportunities that connect people across time and space. To justify their confidence in the magic of the market, financial economists appeal to the mantra that they learn as graduate students: market allocations are Pareto Optimal. What could possibly be wrong with that?
The problem is a simple and obvious one. In order for markets to work well: we must all be able to take part in them. One of the most important functions of the financial markets is the ability to make bets on the future. If I think that the S&P 500 will crash next month, but you don’t, we have an opportunity to trade. And if I face different outcomes if the market crashes, or if it booms, I will try to insure myself by selling the market short in boom states and paying for that trade by buying the market in the crash state. It is my ability to make those trades, which ensures that market movements are not capricious. If a crash occurs, it occurs for a reason. And that reason is connected with the fundamentals of the economy. That, at last, is the theory. That theory is wrong.
That’s where sunspots come in. Writing in 1983, David Cass and Karl Shell picked up on a phrase that had been used much earlier by Stanley Jevons. Jevons thought that sunspots influence the business cycle through their effect on the weather. Cass and Shell meant something very different. They used the term as a spoof to mean capricious movements in market prices, and in the goods that we all consume, that are unrelated to fundamentals.
That leads me to the conclusion of my global sunspots paper. Because we cannot trade in financial markets that open before we are born, most of the movements in financial markets are Pareto inefficient. Financial markets go up. Financial markets go down. If you are lucky enough to enter the labor market in a boom; you will have a happy and prosperous future. If your first job occurs in the wake of a financial crisis: tough luck.
A bottle of Beaujolais is not the same as a Collateralized Debt Obligation. Why? Because trades in CDOs affect the welfare of the unborn: and the unborn are not around to trade in the CDO market. Stay tuned. I have much more to say about this idea in my forthcoming book ‘Prosperity for All’, to be published by Oxford University Press in 2016.