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Thursday, May 19, 2022

TIPS Valuation Commentary

A quick glance at U.S. TIPS (inflation-linked bonds) shows that if we abstract past the thorny question of where inflation will be in the next few years, the market has largely reversed the relatively low inflation expectations that developed in the mid-2010s. If one believes that the inflation overshoot seen in recent years will be reversed within a reasonable time span, valuations are near a “fair value” based on historical data. (Of course, past performance is not indicative of future results, yadda, yadda, yadda.) If one is convinced that the secular tide on inflation has turned, TIPS might still be cheap on a longer-term basis.

The top panel of the above figure shows the 5-year and 10-year inflation breakeven inflation rates. (The Treasury breakeven inflation rate for a given maturity is the nominal Treasury yield for that maturity minus the “real” (quoted) yield on the same maturity TIPS. I discuss breakevens at length in my book Breakeven Inflation Analysis. I have an online primer here.) Although not identical, the two breakevens move together.

Tuesday, May 17, 2022

Macro Effects Of A Hypothetical Crypto Crash?

This article is a short outline of what I see as the macroeconomic effects of a possible continuation of weakness in crypto financial markets. The direct effects would be small, although weakness in crypto is interleaved with the fortunes of the tech sector. It is certainly possible that all risk assets will be under pressure if the economic situation deteriorates, so crypto might be akin to the canary in the coal mine — a signal of other dangers.

I end with a discussion of so-called “stable coins.”

Wednesday, May 11, 2022

US Housing Component Of CPI Not Letting Up


Unless I was interested in short-term breakevens, I viewed the consumer price index (CPI) as a lagging indicator and therefore not too exciting. As such, I am not as enthusiastic as other commentators with regards to reading the entrails of the CPI report. My interest was more in the underlying trends, and what we would expect to change. The problem with the U.S. CPI is that one of the most important “underlying” factors is housing — and the housing component has taken off like a rocket.

Friday, May 6, 2022

Credit Growth And Recession Forecasting

The tail end of my three-part discussion of banking (link) ended with the argument that the circular nature of funding flows means that they do not represent a constraint on debt growth, instead the willingness (and ability) to absorb credit risk is the constraint. If we accept this, there is an important implication for our ability to forecast recessions that are driven by a contraction in “animal spirits.” I outlined this argument in the first volume of my (planned) two part texts on recessions. (I only have parts of the second volume completed, as I hit some difficult areas that I feel I need to think about more carefully.)

I only have an informal version of the argument, and it runs as follows. The usual driver of a business expansion is private investment, which normally needs to financing by the firms/households that are investing. This implies a need for financial firms to be willing to extend credit. This willingness — the “animal spirits” of firms and financiers — thus drives the cycle. So far, this is pretty much what Keynes wrote. The wrinkle — which may or may not be original — is that the credit markets are in fact markets. If we could predict credit market trends, that largely implies the ability to time markets. Which implies that recession forecasting runs into some version of the Efficient Markets Hypothesis.

There is a lot of academic controversy about the Efficient Markets Hypothesis, which I am not interested in. I am referring to a simplistic version of it: if you think you can predict the direction of markets reliably, why are you publishing academic articles and not on a yacht somewhere? My belief is that this is close to the intent of post-Keynesian views on the business cycle, but they do not frame it this way due to being allergic “market efficiency,” and so they use more confusing terminology to explain the concepts I discuss here.

Not All Recessions Credit-Driven

Although most historical recessions were associated with slowdowns in debt growth, it is possible for the economy to contract for other reasons — and such a possibility is a key risk at present. The figure above shows non-financial debt growth in the United States, along with recessions shading. We can see that credit growth historically coincided with slowing debt growth. In recent decades, the Savings and Loan Crisis was associated with the 1990 recession, the 2000 recession was associated with technology firms losing access to credit markets, and the 2008 recession was notoriously a debt crisis. These are the types of recessions I see as difficult to forecast.

However, we also can recessions driven by other causes — which force us to forecast those other drivers. We can have a policy-induced recession (e.g., Euro periphery), where we need to forecast policy. The recent recession was driven by a pandemic (and the response to the pandemic), which is a medical forecasting problem. We can also have downturns triggered by things like the loss of energy imports.

Currently, the most pressing problems seem to be of this type: the renewed lockdown in China, and the effects of constricted energy (and food) supplies. A credit contraction might be triggered by these events, but it is hard to see credit as the driver of any slowdown. As such, the comments here are not aimed at the current situation.

Problem for Macro Models

Credit risk being the constraint for debt growth is a problem for most macroeconomic models — agent-based models being the notable exception. It is hard for a mathematical model to capture the uncertainty associated with credit risk, and the tendency of risk appetites to change.

As a starting point, take the simplest macro model structure: stock-flow consistent (SFC) models. (I have a book on building SFC models in Python.) A SFC model has two categories of equations:

  1. equations that define the accounting structure of the model (“accounting identities”), and

  2. equations that determine the behaviour of sectors (that are constrained by the previous type of equations).

The arguments in my banking article can be re-phrased as follows: the accounting identities do not limit debt growth, rather it is driven entirely by behaviour.

We could imagine a model where there are some parameters in the model that act as a “credit growth” factor. That is, the model will settle in at a certain pace of private sector debt growth once other variables enter steady growth states. To then model a credit-driven recession, we could have the parameter(s) jump to new values that reduce debt growth, and this then has a knock-on effect on growth.

Although this technique will create a “teaching model” that helps explain why recessions occur, the problem is that it does not help forecasting. We need to forecast the parameter shift that leads to lower credit growth, which is no easier than forecasting a recession in the first place.

We could assume that the “credit growth parameters” are driven by variables within the model. We might then be able to forecast the parameter changes. However, that implies that we could use this technique to predict market developments (and therefore be on our way to yacht ownership).

DSGE Models?

DSGE models have notorious difficulties with credit. The entire premise of the models is that entities (households, firms) have a starting amount of tradeable goods and services, and then they trade these endowments amongst themselves to reach an optimal outcome.

“Money” in these models correspond to government money, created by policy, and so policy rules constrain its growth. Since those models are typically mainly used to discuss policy, this is not a problem.

The addition of private credit creates inherent problems with the optimisation-driven strategy of these models.

  • The models are built around forward prices of everything that are traded in forward markets. If firms can buy and sell everything forward, there is no fundamental uncertainty that can lead to defaults.

  • Since private credit “comes out of thin air,” there is no initial “endowment” for trading. Trying to impose a repayment constraint (“no Ponzi condition”) runs into the problem that if every firm can issue credit, there is no reason for nominal income growth to result in a finite limit if nominal interest rates are bounded. All the entities in the private sector can grow their balance sheets in concert, creating nominal income that allows for debt service.

  • The models rely upon representative agents that stand in for a sector, or part of a sector. If they are indeed representative, all the firms that are represented would default at the same time.

The methodology is not suited to handle credit risk, and so the best that can be hoped for is adding some heuristic behaviour that allegedly captures credit dynamics. We end up in the same position as SFC models: we need to forecast changes in model parameters.

Agent-Based Models

Agent-based models are in a better position to capture credit dynamics, since they have entities that face the same information limitations that face lenders and borrowers in the real world. As such, it should be possible to create models that generate business cycles driven by credit.

The problem with such models is attempting to fit them to observed data, as they contain an extremely large number of state variables. Although there is research moving in that direction, the fitting problem is always going to be difficult to solve.

Concluding Remarks

Mathematical economic models have a difficult time with modelling credit dynamics, since they are driven by herd psychology. They might be able to explain why the economy contracts if lending seizes up, but predicting such a seizure is just as difficult as predicting the direction of markets.

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(c) Brian Romanchuk 2022

Tuesday, May 3, 2022

Bond Yields And Recession Risk


Market commentary I have been seeing has had an unusual split: warnings about the collapse of the bond market, as well as imminent recession. That combination would appear unlikely, given the usual reaction of central banks to recessions is to cut rates. However, it makes more sense if we accept that the United States and the rest of the developing world have diverging fortunes, as well as the reaction to the negative first quarter GDP print released last week.

Friday, April 29, 2022

Banking Debate Woes: Part III

This article finishes off a sequence of articles on an ancient debate in economics: what limits bank lending? (Links to Part I, Part II.) My argument is that the usual ways of looking at this question are highly misleading. The mainstream Economics 101 description of banking is hopeless — and then heterodox critics got bogged down in attacking a hopeless description of banking. The key to understanding banking is that they are a financial firm that borrows to invest in assets (a “levered financial entity”) — and they have some similarities to other financial firms, albeit that they have some special privileges.

Thursday, April 21, 2022

Banking Debate Woes: Part II

This article continues the discussion started in Part I of this series on a banking debates — but does not finish it. The previous part gave a fast-paced overview of how generic financial firms that operate in fixed income view the world, along with some of the special properties of banks versus those other investors. In this, I return closer to an ongoing debate in economics: what limits bank lending? This article attempt to give a simplified view from the perspective of an individual bank — without attempting to discuss the whole financial system.