Monday, October 23, 2017

The Upside Down CAPM and Lawrence Summers

I think there is a lot of value in turning the CAPM upside down.

Normally, we think of it as:  ER = R(f) + B*ERP

The expected return of the broader stock market is the risk free rate of return plus the equity risk premium - the premium investors demand for having exposure to cash flow that is volatile over the business cycle.  The expected return on a given equity is its "beta" - its sensitivity to broader market volatility.  The broader market, by definition, has a beta of 1.

I prefer to think of equity market expected returns this way:  R(f) = ER - ERP

It's a simple algebraic reformulation, so it seems like it can't make that much difference.  But, the key is that (1) expected returns (ER) seem to be pretty noisy (or unknowable) around a stable mean, so that ER can generally treated as a sort of mysterious constant and (2) the real risk free rate is generally negatively correlated with expected real growth and does not have a stable mean.

When secular growth expectations decline, R(f) tends to decline and ERP tends to rise.  Expected returns aren't a product of R(f).  It's more accurate to say that ERP is a product of R(f), so that, lower growth expectations cause equity holders to demand higher returns relative to R(f).  Comparing equity yields to real bond yields gives us little information, and comparing equity yields to nominal bond yields is less than useless.  (We are currently in an odd time, because what amounts to financial repression in mortgage markets has pushed real long term interest rates lower than what we might call broadly the "natural" rate.)

I was recently listening to Lawrence Summers on David Beckworth's great podcast series.  Here, I think Summers has presented an example where this framing would help.  He is talking about whether it would be beneficial now to have a US sovereign wealth fund investing in equities:
If it were all about risk premiums then you'd think this was a particularly attractive moment to invest in stocks relative to bonds because there was an extraordinarily high risk premium . I think most sophisticated people in markets kind of think the opposite. Some people think the stock market's a bubble, some people think it's not. I don't know many people who think it's unusually cheap, which would be the corollary of the view that the risk premium is extremely high. So I don't particularly relate to the safe asset paradigm. If you had that paradigm, then you would say that if the spread between bond yield and stock yields was super wide. This was a good moment for the government to issue bonds and buy stocks. But I don't find that a plausible guide to my own investment behavior. And so I'd be hesitant to inflict it on the government.
Now, in ERP terms, clearly there is a high equity risk premium.  Clearly, expected returns on equity are much higher than risk free returns.  Summers is speaking about risk premiums, but he seems to be thinking in terms of absolute valuations.

If equities perform poorly, though, it will be the result of unforeseen real income shocks.  It will have little to do with valuations, because valuations, in terms of total expected returns, don't actually change that much after taking account of cyclical changes in growth expectations.  Thinking of equity valuations as a fairly stable long term variable with a lot of short term and mid-term variability, then it is much less confusing.  Clearly the equity risk premium is high, and we don't need to know much more than that real long term interest rates are low to realize that.  After cyclical adjustments (which are large for equities, make no mistake), it will take some sort of epic regime shift in the American economy to keep equities from vastly outperforming real bonds over the next 30 years or so.


Later in the interview, a couple of other items caught my attention.  On QE:
I'd also say, whatever you thought a few years ago, fact that we stopped QE and interest rates kept falling, it has to lead you to think QE is less effective than whatever you thought before we did that experiment.
This comes from thinking of monetary policy through interest rates.  Clearly, to me, the fact that interest rates fell after the QEs were ended is a sign of how QE was effective and had kept rates from falling while QE was on.

But, then, he follows up with this comment about raising rates moving forward:
And I don't see the financial stability rationale either. I'm not sure that markets are extraordinarily overvalued. If I believed with confidence that markets were a bubble, I'm not sure that would be a reason to tighten policy. It might be a reason to ease policy. 'Cause when the bubble bursts, we're gonna have a real problem. And so, I might as well get some stimulus into... Behind the economy. So, I don't see the case for tightening.
Can I nominate Summers for Fed chair in 2006?

Thursday, October 19, 2017

Housing: Part 264 - Rent is how we consume housing services!

Chris Dillow at Stumbling and Mumbling has a post up about housing where he claims that added supply in London won't make housing much more affordable.

This post is an excellent example of how confusion between owning and consuming is such an important source of error in housing markets.  To be fair, his treatment of the issue is conventional here.  As he writes: "Changes to the flow of the asset are generally too small to have much effect. For this reason, many economists have traditionally modeled house prices as if only demand matters".

This is absolutely, sadly, true.  As with his post, pick up any random academic article about the causes of the housing bubble and it is likely that "rent" is not mentioned in the paper at all, even as a factor to be dismissed.  It is widely treated as a factor not relevant enough to even bother dismissing it.  Not only is housing treated as if only demand matters, but it is treated as if this is demand for owning, rather than demand for consuming.

I wonder if the single most useful policy we could enact regarding housing markets would be to force all homeowners to actually write themselves a check each month for the market rental value of their homes.  I think the fact that we don't do this, so that many homeowners equate their cash expenses with the cost of housing, is a significant reason why this error is so widely committed.

The cost of housing is rent.  Period.  The crazy thing is that about half of the residents of the large urban centers are renters!  For them, this is not complicated.

Dillow writes:
If supply doesn’t affect prices, what does? Lots of things: demographics, incomes, debt levels, expected incomes and the availability of credit. My chart shows another influence: real interest rates.
Now, in order for interest rates to affect home prices, rental value must be an input, as Dillow's chart implies.  But, by removing rent as an explicit input, notice how much easier it becomes to dismiss supply as a factor in price.  Supply won't affect any of the remaining factors Dillow cites.

Imagine if we conceived of other markets the way we conceive of housing.
Families are finding it increasingly difficult to feed their families.  But, the proposed solution - to harvest more grain - is a non-starter.  There is only so much land, and adding to the available acreage is a slow process that can't begin to keep up with the problem.  And, acreage continues to be very expensive.
Acreage is expensive mostly because of low interest rates, loose lending to farmers, and high farmer incomes.  So, the question is, how do we reduce the value of acreage to make food more affordable?  Maybe we could pass laws so that farmers must allow gleaning.  Maybe we can put more obstacles up so that banks aren't so eager to lend to local farmers.  Maybe we can regulate the harvest so that farmers only sow the grains that we have determined are most in need.

PS. It could be that Dillow's claim about supply not bringing down prices is somewhat accurate in practice, which I discuss here.  It depends on whether high prices in constrained cities are more sensitive to interest rates or to expectations of rising rents.  If constrained supply makes prices more sensitive to low interest rates, then the rate of new supply in the worst cities would, indeed, need to double, triple or more in order to stop the flow of low-income out-migration and to introduce enough supply to create a regime shift in rent expectations so that they are actually expected to decline.  I have been moving toward this point of view.

Wednesday, October 18, 2017

Housing: Part 263 - The correct answer is not in the set of choices.

Actual footage of economists answering IGM Questions
The IGM forum polled  economists about Factors Contributing to the 2008 Global Financial Crisis.

In order of importance, the choices are:

  1. Flawed financial sector
  2. Underestimated risks
  3. Mortgages: Fraud and bad incentives
  4. Funding runs
  5. Rating agency failures
  6. Housing price beliefs
  7. Household debt levels
  8. Too-big-to-fail beliefs
  9. Government subsidies: Mortgages, home owning
  10. Savings and investment imbalances
  11. Loose monetary policy
  12. Fair-value accounting

Some of these are actual problems, or at least policies which are arguably not optimal and feed instability.  Numbers 1, 2, 4, 5, 8, and 12 are basically issues that will always be up for debate and that will always appear, in hindsight, to be the cause of financial crises.  When there is a run up in defaults or a run on assets at financial intermediaries, for any reason, in hindsight, it will appear wise to suggest that financial intermediaries took too much risk, held too few assets, or underestimated risk, and balance sheet accounting that forces pro-cyclical buying and selling will make those things worse.  All of these things could possibly be addressed to help avoid future instability, and they certainly count as contributing factors, as posed in the question.  But, they don't really help much in terms of finding foundational causes of a financial crisis that occurs after national real estate markets have lost a quarter or more of their nominal value.  In the respondents' defense, the question was about "Factors Contributing to the 2008 Global Financial Crisis", so these answers aren't wrong regarding the question at hand.

Numbers 3, 7, and 10 are outcomes of the bloated housing market.  These outcomes are the result of bloated asset values, regardless of the cause of the bloat.  Again, as "factors contributing" to the crisis, they aren't necessarily wrong.

Number 9 legitimately contributes to the capitalization of real estate asset values, and thus higher prices, and also contributed to price volatility, though in a way that I don't think is widely appreciated.

The problem is in the list of questions.  In all of these cases, there is a presumption that the cause of both the boom and bust was the financial sector.  And, there is a presumption that the bust was inevitable.  Some of the respondents note that some of these factors are mechanisms or effects more than causes.  Of 74 respondents, only one noted that the list was tilted toward issues in the financial sector, but even that respondent, Nicholas Bloom of Stanford, makes clear that he considers home prices to have been too high, presumably making the bust inevitable.

Numbers 6 and 11 reflect the confusion that comes from the presumptions behind the rest of the list.  Loose monetary policy is given low importance, which is heartening.  What is interesting about that is that tight monetary policy isn't even presented as a potential cause, and none of the respondents seem to have a problem with that.

That leaves Housing Price Beliefs.  This one little factor in the heart of the list.  The rest of the factors really hinge on this factor.  Surely, limiting ourselves to this list of potential factors, none of the other factors would have been notable if we hadn't started with the core problem of overpriced housing that was bound to collapse.

Here, I present a series of scatterplots.  Each point represents the median home price of a given metropolitan area.  The x-axis is the price at the beginning of the time period.  The y-axis is the change in price over the given time period.

The graph these economists appear to have in mind is the first graph, of home prices from 2006 to 2011.  During the specific period of the crisis, there was a clear negative correlation between home prices and subsequent changes in home prices.

This period of time does appear to suggest that beliefs about home prices were optimistic.  It was also characterized early by an inverted yield curve, which is a broadly accepted sign of tight monetary policy, followed by a collapse in investment and GDP growth, a rise in unemployment, and a persistently low rate of inflation - also all signals of tight monetary policy.  It was also characterized by a near nationalization of the mortgage market and probably the single most extreme publicly imposed tightening of credit standards in US history.  Also, not available as an option on the poll.

Regarding those home price expectations and credit standards, we might take a step back and look at the broader picture.  What if we step all the way back to 1998 and all the way forward to today?  I think that it can be stated uncontroversially that, regardless of how one regards credit standards in 2006, in the time since then standards have remained tight - tighter than in any recent period of time.  After all, the private securitization market that funded subprime and Alt-A loans is basically non-existent.  So, I hope we can agree that home prices in 2017 are not part of a credit-fueled housing bubble.  Surely, collapsing rates of homeownership and a decade-long period of depression level residential investment are confirmations of this fact, if confirmation is required.

So, how about price expectations of home buyers back in 1998?  How did buyer expectations pan out?  In this case, there is a strong positive correlation between starting price and subsequent price growth.  Keep in mind, this period of time includes the period shown above.  This period of time concludes with a decade of public policy explicitly aimed at limiting access to mortgage credit where real estate is expensive, keeping home prices low.  Yet, for each 10% premium homebuyers paid in 1998, they could expect to earn about 4% in additional profit over the next 19 years.

This isn't just a refutation of the idea that price expectations were too optimistic.  In high priced markets in 1998, home price expectations were extremely pessimistic.

Now, let's move up in time, to the peak of the boom at the end of 2006.  Here is the scatterplot of home prices and subsequent changes from then until today.  Remember, again, during this period of time there was an extreme directional shift of tightening mortgage credit market standards that included the collapse of an entire conduit for mortgage originations.  In fact, today, total mortgages outstanding have still not grown to a higher level than they were at the end of 2006.

There is a bit of a V-shape here, because the Contagion cities, which tend to fall in the middle of the valuation range, did experience a bit of a bubble and bust as a result of the housing refugees fleeing the expensive cities, which I have addressed at length.  But, the notable thing here is that there is little relationship between home prices in 2006 and subsequent price changes, between MSAs.  A $690,000 home in San Francisco gained about the same as a $130,000 home in Lincoln, Nebraska.

The difference, overwhelmingly, between 1998 and 2006 is that price expectations in 2006 appear to be much more accurate across MSAs than they were in 1998, because home prices in the highest priced MSAs had been finally bid up to levels that would make future price gains insensitive to the starting price.

Maybe the 30% lag in relative valuations among those mid-range cities is the tell-tale sign of a generation defining bubble?  Then, what does that say about the 100%+ gap in relative valuation shifts after 1998?  Can someone please point me to the section in the library with 50 books explaining how extremely underpriced housing in coastal cities was in 1998?  Or, maybe price expectations in every city were too optimistic in 2006.  Maybe the $130,000 buyer in Lincoln was just as blinkered by optimism at a Price/Rent ratio of 14x as the $690,000 buyer in San Francisco was at a Price/Rent ratio of 28x?

Or maybe, none of this was inevitable.  It is a shame that tightening credit standards and tight monetary policy were not available as choices.  A few respondents did apply a low score to price beliefs and monetary policy.  I count 6 from the US panel and 9 from the European panel that gave both a score of 2 or less, on a scale from 0 to 5.

Robert Hall of Stanford and Chair of the NBER Business Cycle Dating Committee applied a 1 to loose money, home price beliefs, debt levels, underestimated risks, fraud, and savings and investment levels. (He gave himself a confidence score of 1.)  On the European panel, Lucrezia Reichlin of the London Business School gave monetary policy a 0 and price beliefs a 1, with a confidence of 8. Richard Portes of the London Business School gave them a 0 and a 2, and noted that not being the lender of last resort for Lehman would get a 4, with a confidence of 9.  Per Krussell at Stockholm University and Rachel Griffith at the University of Manchester gave both a 1.

I wonder what these respondents would have answered to the missing questions.  The correct understanding of the financial crisis lies outside the Overton Window.  The correct answer to the poll was not an option.  Would any of these respondents have given tight money or tightening credit a high score?  We can't know if we don't ask them.  I suppose that's why the question has been left for a doofus like me to answer.  Not that anyone asked.

Tuesday, October 17, 2017

Housing: Part 262 - Self-fulfilling prophecies are highly reliable.

From Calculated Risk:

"Usually near the end of a recession, residential investment picks up as the Fed lowers interest rates. This leads to job creation and also household formation - and that leads to even more demand for housing units - and more jobs, and more households - a virtuous cycle that usually helps the economy recover.

However, following the 2007 recession, with the huge overhang of existing housing units, this key sector didn't participate for a few years."

I'm sure I'm a broken record on this, but it really is amazing how much power our priors have in what seem to us to be empirically derived conclusions.

If the overhang of existing housing units was inevitable, then the protracted recession was inevitable, and there was nothing to be done.  If the overhang of existing homes was a result of our resignation to contraction, and, in fact, our insistence upon it, then the protracted recession was collective self-immolation.

The existence of unsold inventory in 2007 or 2008 tells us nothing about which of those interpretations is correct.

There were millions of willing buyers for that inventory, and those willing buyers ran headlong into a national obsession with preventing them from doing so.  Would allowing that to happen have been a self-fulfilling prophecy, too?  Sure.  The fact that this nation overwhelmingly approves of the self-fulfilling prophecy we chose, even as it bankrupted so many of us, threw workers into unemployment, and destroyed the balance sheets of many young and middle class homeowners tells us just about everything we need to know about the mystery of our ailing economy.

The American populace, paraphrasing "A Few Good Men", barks, "Economic stability?! You can't handle economic stability!"

Sunday, October 15, 2017

Sentiment is counter-cyclical. Policy views are pro-cyclical

I thought this was an interesting and telling chart.  And it is a nice piece of evidence against the various macroeconomic theories that are built on the idea that pro-cyclical investor sentiment drives business cycles.

This sure looks like counter-cyclical sentiment to me.

This is related to another great chart that I recently came across.  Sentiment had turned south in the housing market well before 2004.

This counter-cyclical sentiment is, I believe, the reason why we have macroeconomic theories that project a pro-cyclical sentiment.  If sentiment in some group is counter-cyclical, then that group will be convinced that their aggregate sentiment is pro-cyclical.  This is why I am only slightly flippant when I suggest that a reasonable monetary policy rule would be to conduct surveys about what policy shift is most favorable, and then do the opposite.

Think about it.  The reason that it seems like housing markets were out of line in 2005 is because practically everyone knew that prices were too high, yet prices kept rising.  When prices kept rising, lo and behold, there were buyers and sellers who were thumbing their noses at our communal sentiment.  There were even some buyers who were pretty excited about it.

Now, there were certainly some types of buyers and some types of speculators who were more active in the market than usual, at the time.  But, our perception of those buyers is skewed by our counter-cyclical perceptions.  Consider that the housing stock is pretty stable.  We don't suddenly double the number of units in a bull market.  And, think about all the anecdotes from 2005.  Small time speculators who owned a half dozen homes in the sand states.  Janitors in California talked into buying a home with a mortgage that would claim 90% of their take-home pay.  Etc.  Add up all the buyers in your mind.  Think about the fact that for that small time speculator, there had to have been a half dozen former homeowners who sold their homes to the speculator.  There are only so many homes to be owned at any time, with only marginal changes, so those homes had to be bought from someone.

How many articles were in periodicals at the time about all the former homeowners who exited the market?  How many books line the shelves at your local library about how many former homeowners sold out in 2005 or 2006?  For every na├»ve speculator with a half dozen leveraged homes there must have been several.

Our point of view controls these perceptions as much as facts do, and our point of view is counter-cyclical.  We really notice when market activity betrays our point of view.

We can see this in the stock market in the image above.  As prices rise, sentiment sours.  Yet, the price keeps rising.  How can that be?  It's because price is surprisingly immune to sentiment.  Markets take in a huge amount of primary, secondary, and tertiary investor activity and input.  Market participants may not bid up stock prices because they are in a speculative mood.  Maybe, they bid up prices because prices are cheap, in spite of sentiment, and that fact is manifest in prices, even though our primary market sentiment is weak.

How do we reconcile the chart above with the growing number of anecdotes like this one?


Uber driver in OC says she and husband were in real estate, lost all in 2008. Only now venturing back into "investment real estate." Hmm.
— Bethany McLean (@bethanymac12) October 14, 2017


Do the 4% of potential investors who are feeling bullish and speculative all happen to be Uber drivers and such, or does our counter-cyclical sentiment cause these anecdotes to become more palpable when we are bearish?

We interpret our perceptions as a confirmation of pro-cyclical sentiment.  But, in reality, prices are not particularly sensitive to sentiment.  Intrinsic value of assets is more stable than our sentiment is, but we treat our perception as fixed and we dismiss the efficiency of markets.  So, as our sentiment swings above and below the market, as it generally follows intrinsic value with some small amount of deviation, we come to a conclusion about prices that is the opposite of reality.

And, what is the result?  Where we have the ability and resolve to impose our "theory by attribution error" * on markets, we impose cyclical instability.  When sentiment is bearish, we become convinced that stubbornly bullish sentiment is pushing prices too high, and we demand policies that will dampen economic activity.  When sentiment is bearish, policy becomes bearish, and our sentiments are confirmed.


This survey data appears to contradict the data in the above tweet, and suggests that investors expect gains, even though they don't personally think the market is undervalued.  This could be due to speculative fervor, or it could be a realistic expectation of rising real production that causes values to increase along with economic growth.  Even in this survey, the average respondent's expectation is for something just under 5% for the quarter, with a negative skew.  That doesn't seem particularly unreasonable.  But, the negative skew of expectations has definitely declined over the past year.

* "We" base our personal point of view on an assessment of market conditions, the business cycle, and hard earned wisdom.  "Others" are creatures of fear and greed, chasing after every trend.

Friday, October 13, 2017

September 2017 CPI

We continue in a holding pattern.  YOY core inflation is about 1.7%, core inflation ex. shelter remains about 0.6%.  Shelter inflation continues to remain above 3%.  There hasn't been a single month of core ex. shelter inflation above 0.1% since February.

Mortgage growth and bank lending seems to be growing at a rate of 2-3%.  I suppose things could just keep moving ahead indefinitely like this.  But, I think the obsession with asset prices and the tendency toward viewing asset prices as a reason for tighter monetary policy will prevent us from easing when random economic shifts cause a downshift in these patterns when there is no buffer for a downshift.

Thursday, October 12, 2017

Housing: Part 261 - comparing three markets

This graph compares median home prices in Phoenix, LA, and New York City to the median US home price.  Briefly reviewing these three prices can give us a quick summary of what happened during the housing bubble and what might not have happened, in spite of our initial conclusions.

Let's start with New York City.  In 1997, New York City was already pretty expensive, but it got even more expensive in the years that followed.  Eventually New York homes rose to more than twice the price of homes elsewhere.  Surely part of the bubble, it would seem.  But, strangely, even with the extremely tight lending markets of the decade since, New York homes have remained more than twice as expensive as homes elsewhere.

LA looks much like New York City before 2004, but prices there jumped as the privately securitized motgage market exploded.  Then prices came back toward New York prices when that market collapsed.  This suggests that collapse was disruptive.  So was the private mortgage market part of a housing bubble?  Seems clear. Except that, again, during tight lending markets LA home prices have not only remained twice as expensive as homes in other places, but they have moved back up to triple the typical home price.  This suggests that those prices don't require loose lending.

Phoenix prices jumped by nearly 50%, relative to the US and then quickly retreated. After briefly falling below the US median, the Phoenix median price has recovered back to about the US norm.  That looks like a bubble.  Up to about 10% of the US had housing markets that looked like this. All of those places have one thing in common.  At the time they were taking in thousands of migrants from cities like New York and LA looking for homes.  Those migrant flows usually amounted to 1% or more of local populations per year until they dried up in 2006.

Cities like Phoenix aren't even close to their capacity for building homes today. That is one necessary ingredient for a bubble - short term supply inelasticity.  What would happen today if lending was more generous? It would be interesting to find out.

Tuesday, October 10, 2017

Housing: Part 260 - The gorilla on the court

There is an old psychological test where subjects are told to count the number of times some basketball players pass a ball around.  During the test, a person in a gorilla suit waltzes through the middle of the players.  Only about half of the subjects even see the gorilla, because they are concentrating on the basketballs and their selective attention causes them to miss the gorilla even though it is right in the middle of the scene.

I feel like I am watching a nationwide re-enactment of that test when I see people talking about low-tier housing demand.  I have touched on this weird development previously.  The latest round has come from reactions to comments made by Svenja Gudell, chief economist at Zillow:
affordability – at least on paper – looks good, thanks largely to very low mortgage interest rates; and home prices themselves show no signs of declining any time soon. But on the ground, the situation is much different, especially for younger, first-time buyers and/or buyers of more modest means. Supply is low in general, but half of what is available to buy is priced in the top one-third of the market. This only stiffens competition at the entry and mid-level segments, which pushes prices up faster and actually contributes to quickly worsening affordability for these buyers.
This is a case of mistaking the symptoms for the cause.  But the root problem is because the actual cause is the gorilla on the court.  Everyone is on the lookout for predatory lending, overbuilding, a new bubble.  They have been on the lookout for those things for at least 15 years.  And, there was certainly a period of strong building, borrowing, flexible and destabilizing mortgage terms and funding mechanisms.  While everyone was counting up all those things, a gorilla walked through the court - tight monetary policy, shifting sentiment, and an extreme shift to very tight credit standards so that a large number of potential first time buyers aren't potential first time buyers anymore and many homeowners are stuck in homes that they once borrowed money to purchase with mortgages they would not qualify for today.

There is nearly unanimous support for a massive regime shift in lending standards, yet few understand what we have done.  Tight standards are prudent.  Right?  You're going to argue against that in the middle of a financial crisis?

The gorilla on the court is that there is little funding for entry level home buying.  So it seems like a big mystery.  This CNBC piece on Gudell's comments considers that maybe investors are the problem.  "Supply on the low end is tight because during the housing crash investors large and small bought hundreds of thousands of foreclosed properties and turned them into rentals."  So, why don't builders come in to meet that demand?  "Homebuilders are simply not building enough inexpensive houses that the market needs."
The homes are there, they're just not selling, and it's not hard to figure out why."The recent home sales data has reflected a slower pace and I continue to believe it's due to more a push back on pricing," wrote Peter Boockvar, chief market analyst with the Lindsey Group, in a response to the data release.
The article quotes Gudell, "What's missing from the equation is a lack of homes actually available to buy at a price point that's reasonable for most buyers." and concludes, "The trouble is, even though the market is woefully mismatched, home prices will not come down as long as there are some buyers out there willing and able to spend more and more money for less and less house."

Honestly, this is amazing.  I don't really fault the CNBC writer, or Gudell, or the others.  There is clearly a mass hypnosis going on here that is more powerful than the an individual's sense of logic.  What exactly do they think is keeping those rising prices from triggering new supply?  I'd like to sit down with the entire country, give them some Lego figures and Monopoly pieces and have them walk through this step by step.

Here are some people.  Here is a bank, some homes, and some potential homes.  Homes are extremely affordable for mortgaged buyers, especially at the low end of the market.  Walk me through how this breaks down.

But, they simply can't say that there isn't enough lending in that market.  The truth is too far outside the acceptable narrative.  That can't be a reason, and they are left with strange reasons, like homebuilders with inventory that doesn't match their customer base.

We limited access to ownership (and supply) compared to previous standards.  This means that returns rise for the remaining owners.  And, since we heap subsidies on the "haves" through the tax code, there are two distinct markets.  Top tier markets where the "haves" buy larger more expensive homes, and low tier markets where the "have nots" downsize as rents rise.

With all these "haves" and "have nots" it must be industry consolidation, or real estate investors, that are the problem.  All agree that we "solved" the problem of predatory lenders.

Here is a graph of real estate value as a proportion of GDP (scaled for comparison) and mortgage debt service.  Closed Access real estate is the toll booth to opportunity in the current economy, so its value will relentlessly rise.  That value (the red line) is the cost of holding a limited asset - the cost of preventing others from accessing opportunity.  It will continue to rise.  We have a sort of chimera free market/banana republic economy where only certain citizens have access to property.  That property provides economic rents to its owner.  In a banana republic, those rents come purely through income.  The market price of the property remains low because it is the lack of access to ownership that provides the rents.  You own the property because of who you are.

In our chimera economy, there is limited access property that provides economic rents to its owners.  But, its ownership isn't limited to who you are.  It is available to all, as long as you have the means to pay for it.  So, in our economy, the value of the property can fully account for its value as an obstruction preventing others from living in our gated metropolitan areas.

Before 2007, this was moderated by migration.  Those without means moved away from the Closed Access cities to less prosperous places.  Those with means, or at least with bright prospects, moved in, frequently financing the move with mortgage debt.

We have ratcheted up this process since 2007 - moving more into banana republic territory by severely limiting property ownership through mortgage regulation. So, now, prices of real estate are lower, because there are few potential buyers, especially among the "have nots", but the income and the economic rents that property pays out are higher than ever.

Here are Zillow's measures of rent and mortgage affordability.  But, this is really not even half the story.  Homes in low-tier markets have price/rent ratios much lower than homes in high-tier markets.  For marginal homebuyers who are the CFPB's "have nots" (for their own protection!), the difference between mortgage and rent affordability is huge.

Below is a graph I recently noticed in this great Griffin and Maturana paper.  Of all the work I have read, I think they do the best job of counting the passes of the basketball players, as it were.  Of all the "credit supply" school research, I think they make the most compelling case.  They frame the cause of some rising prices in terms of "dubious" mortgages - mortgages with poor documentation and false information.

This graph is of home prices in cities with elastic housing supply, what I would call "open access" cities.  In Closed Access cities, new mortgage access might cause prices to rise, because supply is limited.  But, in Open Access cities, it is hard for prices to rise far above the cost to build, so new credit is more likely to lead to new homes.

They find that prices in zip codes with dubious lenders didn't rise more than prices in other zip codes in the Open Access regions.  But, prices in the dubious zip codes did fall much farther after the bust.  They take this, understandably, as a sign that dubious mortgages induced oversupply, which led to a collapse.

This is an understandable conclusion because they can't see the gorilla.  As the others I quoted above have noted, rents have been increasing.  That is odd.  If prices were falling because of oversupply, you'd think you would see that in rents.  Griffin and Maturana follow the standard practice of academics arguing about the role of credit in the housing boom and bust.  The word "rent" does not appear in the paper.  (Well, it appears once regarding "economic rents", but not regarding rental income of a homeowner.)  So, it is understandable that they didn't notice that oddity.  Rent just isn't part of that conversation.

The graph is interesting because the initial shock affected both areas - those with more dubious lending and those with less.  By the third quarter of 2008, the mortgage origination industry that had grown up around private mortgage securitizations had been dead for some time.  There really are two distinct periods here where home prices fell more in the areas with dubious lending and diverged from the other areas.  The first was in the third quarter of 2008, when the financial crisis hit and the GSEs were taken over and lending tightened.  The second was after the third quarter of 2010, when Dodd-Frank passed.

The collapse in the bubble cities was of a scale so much larger than other areas, it sort of drowns out what was happening in the bulk of the country in 2008 and 2009.  But, here, where Griffin and Maturana have isolated the Open Access parts of the country, it looks like Dodd-Frank had more of an effect on these home prices than the GSE takeover did.

G&M look at the change in prices over the entire period after 2006, and conclude that when the dubious lenders collapsed those zip codes had a supply overhang because of all the unqualified homeowners, and that led to inevitable decline.

But, first, there never were too many homes.  Second, by 2010, when most of the divergence happened, homebuilding had been dead for years.  There is no way that the divergence that happened then was the result of supply overhang.

G&M counted all the passes.  But, the gorilla on the court is that after 2007 lending standards were tightened extensively.  G&M, like most people, seem to just account for any contraction after 2006 as if it is simply an unwinding.  But, the pendulum swung far in the other direction.

We can see here how, as is so often the case in this story, the presumption determines the conclusion.  G&M do a lot of interesting work in that paper.  But, some of their conclusions come down to an implicit presumption that whatever happened after the bust was inevitable and that lending norms at the end of the bust were roughly similar to lending norms that pre-dated the boom.  That presumption is incredibly wrong.

In fact, in their chart that I show above, if we were looking for gorillas, it would seem quite obvious to us that the discontinuity was in 2008 and after.  Let me be clear - it would seem obvious.  Maybe that presumption is wrong too.  I don't think it is wrong.  But, the change in presumptions so that we were looking for a time when credit standards tightened, would lead us to view that graph with high confidence as confirmation that in 2008 and after, there was a devastating collapse of marginal credit markets.  That's the gorilla.  Once you see the gorilla, you stop paying attention to the basketballs.  You say, "Holy cow! There's a gorilla on the basketball court!  That is something!"

This doesn't mean there weren't basketballs.  Surely some housing outcomes in 2004 and 2005 were facilitated by peculiar mortgage market developments.

But, Dude!  There's a gorilla on the court!

Friday, October 6, 2017

Foreign Direct Investment into US Rising

Here's an interesting post by Timothy Taylor.

He notes that foreign direct investment into the US has recently spiked.  Here is a graph from his post.

That is interesting.  The US has a longstanding pattern of investing in high-return direct investment in foreign economies.  Foreign investors into the US tend to invest in low risk/low return debt.  This is actually the main source of our trade deficit.

Think of it this way.  Take $1 billion of US foreign direct investment earning 6% returns and $2 billion of foreign investment in the US earning 3% returns - $60 million each.  Let's say that earnings are reinvested in both cases, with similar returns.  Next year, US investors abroad will earn $3.6 billion additional returns and foreign investors in the US will earn $1.8 billion.

Foreign investors must invest an additional $60 billion into the US in order to keep up with the growing US foreign income.  If they don't, then US foreign income will continue to climb.  In order to get those additional $60 billion, they export us goods and services and then they send those dollars back to the US as investments.

This is basically what has been happening over the past 20 or 30 years.

So, this is an interesting development.  We should expect that foreign earnings on US investment will grow.  And, this should also moderate the trade deficit.  (I mean to state that as a fact, not as some sort of normative hope.  We shouldn't be that concerned one way or the other.)  And, Taylor mentions that these tend to be export-intensive investments.  In other words, the operations funded by these investments tend to produce US exports.

All in all, I think this is generally a good sign, if only because it is a sign, finally, of a return to more at-risk investments and a possible decline in the equity risk premium.

Wednesday, October 4, 2017

The confusion between Quantitative Easing and Interest on Reserves

Arnold Kling has a link to some commentary on QE from economists at First Trust.  They question whether QE was effective.  I agree with some of their comments.  I do think the issues with mark-to-mark accounting and some of the other actions taken in spring 2009 did contribute to the turnaround.  But, I think we need to be careful about exactly how we identify Fed policies during that period.

The problem is that in October 2008, the Fed initiated interest on reserves in a strange and misguided attempt to keep the fed funds rate at 2% even though the Fed clearly should have been pumping cash into the economy, which would have pushed the fed funds rate lower.  For most of the next two months, the interest on reserves rate was actually higher than the effective federal funds rate even though it was lower than their stated target rate.  In other words, Fed policy was so tight at the time that they would have basically had to sell their entire remaining stock of treasuries to meet their target rate, sucking cash out of the economy.  They couldn't do that, so they used interest on reserves as a sort of back door way to obtain cash.  Instead of pulling currency out of the economy, they borrowed cash from the banks.  They induced banks to lend to them instead of lending into the economy.  They bought treasuries with that cash, so another way to describe what happened is that they induced banks to lend to the government instead of to private parties, and they acted as an intermediary, with excess reserves as the bridge between banks and treasuries.

This was a contractionary policy, and because they were acting as an intermediary between the banks and the treasury, the Fed's balance sheet ballooned.

Then, at the end of 2008, and later in 2010 and 2012, they did three rounds of quantitative easing.  Since by then rates were near zero, this meant that they injected cash into the economy without using the framing device of raising or lowering rates.  The use of interest rates as the framing device for describing monetary policy is strange anyway.  I wish they didn't do that.  Since the neutral rate is a moving target, it leads to a lot of misguided opinions about whether policy is loose or tight.  And, it causes the idea that monetary policy works by making cheap debt financing available to be greatly inflated in the minds of the public.  It seems that most of the commentary, even among financial experts, about monetary policy and the business cycle is framed that way, and I think that is very damaging.  It would be better to base financial analysis on astrology.  At least that would lead to an unbiased random outcome of analysis.  It's like the experiment where you put a moth and a fly in two separate open jars with the bottoms facing a light.  The putatively smarter moth keeps knocking himself against the bottom of the jar in an attempt to escape toward the light while the fly just flies around randomly until he escapes the jar.

Anyway, it is odd that QE is framed as some sort of new type of policy.  It was August 2007 to September 2008 where the Fed had a strange new policy.  They were making a series of emergency loans to failing financial firms, but they were "sterilizing" those loans by selling treasuries into the market, so that those emergency loans didn't cause currency to expand.  When the Fed initiated QE at the end of 2008, that was actually a return to normal monetary policy.  That was the first time in more than a year that they actually just bought some treasuries in open market operations with the motive of injecting cash into the economy in order to create inflation.

This was an accommodative policy, and because interest rates were near zero, the incentive of private institutions to avoid holding cash was low, that cash was simply held at banks, and the Fed's balance sheet ballooned.

We can see these effects in this Fred graph of the Fed balance sheet and 5 year inflation expectations.  In late 2008, inflation expectations cratered when interest on reserves was initiated.  Policy was highly contractionary and the balance sheet bloated.

For the first part of QE1, the balance sheet didn't actually expand, because while QE1 was expanding the balance sheet, the initial surge of excess reserves when the Fed pegged the short term rate target at 2% was now unwinding, since the rate was near zero.  By mid 2009, QE1 was growing the balance sheet.

Then QE1 was ended, but QE2 began in late 2010, and we see the balance sheet grow again.

Now, to me, just eyeballing inflation expectations, I see expected inflation rise as the initial interest on reserves policy gives way to QE1.  Then, it recedes after QE1 ends, then it rises again when QE2 begins, and recedes again as QE2 ends.  There is little reaction to QE3, but when QE3 ends, inflation expectations again recede.  The QEs seem to be weakly effective.

I have also included the nominal 10 year treasury rate in the graph.  It gives a more clear signal with the QEs, rising each time and declining after they end - even during QE3.  Each time, there is a little hump in 10 year rates.  This is an example of how thinking of monetary policy in terms of the cost of credit is strange.  I would consider the fact that 10 year treasury rates increased during the QEs to be a sign of the success of the QEs.  That success has nothing to do with cheap credit.  In fact, credit became more dear because expectations and investment demand improved.  If only the Fed had continued QE persistently instead of running it in starts and stops.

But, seeing the growing balance sheet as some sort of unified invitation to hyperinflation is incorrect.  First, the QEs were effective, but only weakly so, so it would take a lot of asset growth to trigger a little inflation.  Secondly, the initial growth in the Fed balance sheet was actually contractionary.