On Modeling Money, Banks and Markets

Every good model is designed to emphasize certain empirical regularities that characterize the real world and by doing so to explain certain aspects of how the real world functions. Thus, the first question when discussing how to model money and banking is: What are the empirical regularities that a model of money and banking should capture?

Drawing on my knowledge not only of the history of money and banking, but also of the structure of modern money markets, I have strong views on the empirical regularities that a model of money and banking should capture. Depending on the purpose of the model, there can be good reasons for focusing on getting either the asset or the liability side of banking right, so I will set forth the relevant empirical regularities separately for the two sides of the bank balance sheet. (Obviously there are also benefits to putting both into the same model, but frequently with formal modelling it is useful to start with something simple.) In both cases, first I state the key features that model should have and then I follow up with a brief discussion of some of the objections that I expect to hear to the approach I am describing.

Banks as issuers of money

When modelling the liability side of banking, there are two key features:

(1) Bank liabilities circulate as money. This means that bank liabilities are generally accepted, or, in other words, that the bank is trusted by everybody in normal times; and

(2) Any constraints on bank borrowing should be clearly explained, and should not imply that the individual members of the public are imposing borrowing constraints on banks. Thus, Diamond and Dybvig appropriately explains a run as a coordination problem, which is not at heart an individual action. And there can clearly be a constraint imposed by an outside authority like a regulator or central bank. But the idea that the individual members of the public refuse to lend to the bank past a certain amount should be viewed as contradicting the basic fact that bank liabilities circulate as money because banks are trusted by the public.

Discussion

Sometimes the claim is made that non-bank liabilities can also circulate as money. While it is true that there are historical examples of private non-bank liabilities circulating as money, these are almost always very localized affairs and thus don’t actually represent examples of generally acceptable means of exchange. These examples are not only lacking in geographic breadth, they are also typically short-lived, of very limited scope, and rare. In short, historical examples of circulating private non-bank liabilities are essentially measure zero events in the history of money. While certain historical events may be worth modeling in order to understand the event in question, these episodes are of far too little importance to be incorporated into a model that is trying to understand the general principles of money and banking.

The basic implication of the approach that I am advocating is that banks are not just a little more trustworthy than other economic entities. When modelling banks (in normal times), banks sit at the extreme of a spectrum of trustworthiness. Thus, models that purport to treat the trustworthiness of banks as only incrementally distinguished from other agents should not be considered as logically consistent with the statement that banks are issuers of money.

Banks as lenders

When modelling the asset side of banking — and especially when modelling how bank lending compares to market-based lending — the essential empirical regularities are:

(1) Banks, with their easy access to liquidity via the issue of monetary liabilities, are the economy’s short-term lenders.

(2) If there is going to be market-based short-term lending that competes directly with banks, then the banks’ role in “wrapping” (or guaranteeing) the short-term debt to make it saleable should be modeled. The reason for this is that in practice bank lending is frequently indirect and takes the form of a backup promise to pay in case the original borrower defaults; the use of these bank guarantees is so common that money market assets are in practice not marketable without bank support. (For a lengthier discussion of this issue, see here.) Note that for simplicity, both market-based short term lending and the bank guarantees that support it can be omitted from most models. It is, however, a clear error to include market-based short term lending without modelling the bank guarantees that support it.

(3) The market-based lending that takes place without bank support is long-term lending, such as 5-30 year bonds. Banks don’t have a comparative advantage here, because their ability to issue monetary liabilities is as likely to get them into trouble as to help them when the loan is long term. (They can easily like the S&Ls or Diamond-Dybvig run into financing problems.)

Thus, a key issue that a model seeking to address both bank lending and market-based lending is: What is the term of the lending in the model? Many models have both bank lending and market-based lending for the same term of the loan. I would argue that all models with this characteristic are effectively assuming long-term lending. Thus, when they find that markets can in many circumstances lend just as well as banks, they reach this conclusion by looking at the type of lending in which banks do not have a comparative advantage. A better way to model bank lending together with market-based lending is to model banks as lending short-term, e.g. working capital, while market-based lending is long-term (with or without banks competing in long-term lending).

Discussion

Many economic theory papers that purport to study money and banking effectively assume that markets in debt can exist in the absence of banks. One might almost say that these papers take markets as the fundamental economic unit and are trying to place banks within that context.

At least from my perspective, this presumption is precisely what heterodox theory seeks to challenge. My read of the history is that, while markets certainly existed before banks became important, neoclassical markets where there is something akin to a single price for a good could only be imagined in a world where banks were providing liquidity so that the typical trader was not liquidity constrained.

That is, “markets” in the sense of common usage have of course always been around, but this is a completely different concept from what an economist means when speaking of markets where every homogeneous good has a single price. Historically it is true that every community has, for example, weekly markets where people get together to trade. Prices in those markets are, however, typically based on individual bargaining and are very variable depending on who you are. People who have traveled broadly may have visited this kind of market, where a local friend is likely to tell you “Just let me know what you want to buy and then go away. I’ll handle the negotiations.” The neoclassical economic model is not designed to capture this kind of market.

The kind of markets that are made possible by banks are neoclassical-like markets. Based on sources like Adam Smith it appears that this type of market only started to grow up in Britain in the late 18th century. Suddenly people had access to enough liquidity that differential liquidity constraints stopped being the determining factor in prices, as is the case in traditional markets. And as Larry Neal explains in The Rise of Financial Capitalism (1990: 35) it was around the same time that published price lists expanded dramatically and began to take on “an increasingly official character.”

Thus, I would argue that markets as they are typically modeled in economic theory papers exist only because banks provide the liquidity that makes the efficient prices they produce feasible. For this reason, a realistic model of banks and markets will reflect the role played by bank-based liquidity in the formation of market prices. This view, as was discussed in this post, is consistent with the realities of markets today, where short-term lending is heavily dependent on banks – and of course it’s hard to imagine how capital markets could function, in the absence of these bank-dependent money markets.

To summarize, in order to capture both bank lending and market-based lending an economic model needs to have at least a three period horizon with banks offering one period debt and markets offering two period debt. Ideally the model would be able to illustrate why markets are better for long term debt and banks are better for short-term debt.

Many thanks to David Andolfatto as this blog post was generated by email correspondence with him.

Advertisements

A Taxonomy of Liquidity I

My recent review of Andolfatto (2018) reminds me that underlying the debate between mainstream and heterodox approaches to money is a fundamental dispute over a factual question: Do financial markets and/or non-bank financial institutions provide the same services as banks?

Mainstream approaches typically claim that “clearly” financial markets and non-banks do provide the same services and that the differences are just a matter of degree. In my view, these claims are factually wrong. In this essay I am going to work through a taxonomy of liquidity that is designed to distinguish between the fundamentally different types of liquidity provided by the different types of financial contracts. In my view it is a category error to treat these different types of liquidity as if they were equivalent and interchangeable.

Preliminary question: What do banks do?

I’m going to take it as given that we can agree that banks create money by issuing monetary liabilities. Given this, what I think a lot of modern scholars miss is that those monetary liabilities can be either on balance sheet or off balance sheet. There is a tendency to focus, as Andolfatto (2018) does, on banks’ on balance sheet lending, where the banks issue money in order to fund loans. In fact, however, banks’ contingent, off balance sheet liabilities have for the past few centuries played a crucial role in the monetary system – and they still do today.

When a bank earns fee income by selling the issuer of an asset a credit line that will be used to repay the asset’s owner in the event of a default, the bank is monetizing that asset. Effectively by taking on the tail risk of the asset, the bank turns the asset into the equivalent of a bank liability, even though the bank’s liability is contingent. These contingent bank liabilities are extremely common and may go under the name of acceptance, letter of credit, standby facility, bank credit line, etc.

Because the focus of the mainstream literature on banking is on balance sheet banking, mainstream scholars typically distinguish banks, where debt is held on balance sheet, from markets, where debt is traded. But this framing elides the fact that very often debt is tradable only because of an off balance sheet bank guarantee. As a result, in using this framing mainstream scholars often draw a distinction between banks and markets that is fundamentally misguided.

More recently banks have taken on another role in markets. Morgan Guaranty Trust, which later became JPMorgan Chase, played a crucial role in the development of the modern repo market by market making in repo on the balance sheet of the depository institution so that repo regularly accounted for 10% or more of the depository institution’s assets and of the depository institution’s liabilities from the late 1990s on. Of course, JPMorgan also became a tri-party clearing bank for the repo market. Now that JPMorgan has pulled out of the repo market, the Federal Reserve itself stands ready to lend on the market through its Reverse Repo Program.

Similarly, banks like JPMorgan Chase have been dealers in the derivatives markets since their earliest development, and even today JPMorgan’s depository institution accounts for more than 20% of the US derivatives market (see Table 3 of the OCC’s latest derivatives report). So nowadays we have depository institutions that are not only supporting financial markets via the guarantees they provided to the assets traded on them – as depository institutions have always done – but that also are the key market makers in markets that are viewed as essential to so-called “market-based” lending.

In short, drawing a bright-line distinction between financial markets and banks is a mistake.

Even so, the traditional equity and bond markets continue to operate with relatively minor connections to depository institutions (at least as far as I am aware). These financial markets can properly be viewed as “market-based” lending that is distinct from banks. Thus, while it may be correct to draw a clear distinction between traditional capital markets and banks, it’s also essential to recognize that markets in most other assets, including commercial paper, securitizations, repo, derivatives, etc., rely heavily on the explicit and implicit support of depository institutions for their basic functioning.

This understanding of the nature of financial markets motivates the following taxonomy of liquidity. Taxonomy 1

In addition, to distinguishing between the market, hybrid and bank liquidity that can be provided to an asset, this taxonomy makes another point: different types of liquidity provide very different services to the asset owner.

Market liquidity is the first entry, as it is the archetype that provides the most common mental reference point when one discusses liquidity. Market liquidity refers to the ability to sell an asset without suffering much loss in terms of price. Implicit in the concept is that there is a “true” sale for accounting purposes and that the seller of the asset successfully transfers all of the risk of the asset to the new owner. Thus the balance sheet of the seller of the asset increases by the value of the asset which is received in cash and decreases by the removal from the balance sheet of the risk of the asset (both credit and liquidity).

Nowadays one sometimes hears repos referred to as a kind of market liquidity. This diagram is designed to point out the limitations of repo-based liquidity. As the chart indicates in the row titled “Overnight reverse repo”, repo allows the asset owner to have access to cash without transferring any of the risk of the asset away. This is a very important distinction between market liquidity and repo-based liquidity. Arguably the latter should be called funding and the term liquidity should not be associated with repos at all. Certainly the two concepts are very, very different.

There are two other entries under Hybrid liquidity. The discount market is a historical phenomenon that was very important in 19th century Britain. Bills could trade easily on the discount market as long as they had been “accepted” (i.e. guaranteed) by a bank. A discount market sale was not, however, like a capital market sale: in order to sell a bill the owner had to endorse it, and the endorsement obligated the owner to pay up in the event that the bill went into default. Thus a discount market sale is an effective transfer of the liquidity risk of the bill, without transferring the credit risk of the bill.

A credit default swap is designed to protect the buyer against the credit risk of the asset. Effectively an asset owner can pay the equivalent of an insurance premium in exchange for a promise of payment if the asset goes into default. Note that in this case, the asset owner continues to hold the asset unencumbered on her balance sheet and thus receives no cash upfront from the seller of credit default swap protection. This explains the zero in the “Principal value of asset” column. (Note also that I have depicted credit default swaps here as if they are an effective way to transfer the credit risk of an asset. In fact, these markets are very complicated and there is some concern recently regarding how successful credit default swaps are at transferring the credit risk of an asset.)

There are two entries under “Bank-based liquidity”. The first is a “bank credit/liquidity facility”: this represents the case where for a fee a bank guarantees payment on an asset. As in the case of a credit default swap, this functions effectively as insurance for the holder of the asset, there is no transfer of the asset to the bank, and of course the asset owner receives no payment for the value of the asset from the bank. (On the other hand, the fact that the asset is accompanied by a bank guarantee typically makes it easy for the asset owner to transfer the asset to a third-party in exchange for goods or cash, for example on money markets like commercial paper or discount markets.)

Another important form of bank-based liquidity is the central bank discount window. All loans at the discount window are recourse loans, and as a result in exchange for the central bank’s cash the owner of the asset is able to lay off the liquidity risk, but not the credit risk of the asset.

The point of going through this Taxonomy of Liquidity in somewhat excruciating detail is to make it clear that it is a mistake to talk about “credit” or “liquidity” as if they are simple one-dimensional concepts. Similarly, it is very difficult to draw a bright line distinction between financial markets and banks. Anyone who wants to model money needs to be aware of these issues.

 

A heterodox critique of Andolfatto (2018)

Note: The goal of this post is to stimulate a conversation on how to model banks using economic theory. It may be impenetrable to those who are not already aficionados of economic theory.

In this post I am going to reinterpret a model of banking written by David Andolfatto that is available here. Before I reinterpret the model that Andolfatto presents, let me make some basic observations about the type of environment that is being studied here. First, this is a model of normal times: at present no effort is being made to incorporate crises or even the possibility of crises in the model. Second, there is a sense in which this is a model of short-term lending: all loans are one-period loans and no multi-period loans are considered. Indeed the model is structured so that there is no value to longer term lending.

Andolfatto recognizes that one of the cornerstones of heterodox theory is that banks create the money that they lend. When he introduces banks into his model, however, he ignores this principle and instead models banks according to the standard loanable funds approach as more “trustworthy” than non-banks. That is, he models θb > θ, where θ is a trust parameter. Effectively, he assumes the mainstream view that liquidity is a spectrum phenomenon and that banks just sit incrementally higher on the spectrum than other debt issuers.

I would argue that this framing fails to capture the idea that banks create money. When we say that banks “create money” what we mean is that banks issue liabilities that are generally accepted by the public. If I bring a $20,000 cashiers’ check issued by a bank to purchase a car – aside from confirming that the check is not a fake – just about any car dealership in the country will accept as if it were cash. In short, when we say that banks “create money,” we are saying that the trust parameter is so high that the banks’ liabilities are for practical purposes (in normal times) indistinguishable from fiat money issued by the government. For this reason, the assumption that is consistent with the claim that banks create money is not θb > θ, it is θb = infinity.

On the other hand, at the same time that banks can create money with ease, they are constrained because everybody expects them to give it back on demand. The car dealership accepts the large cashiers’ check, because it represents a promise to deliver the funds to the car dealership within a matter of days, if not faster. Thus, banks can create money and can borrow with extraordinary ease, but the loans are always short-term loans that the bank needs to be prepared to repay promptly.

In fact, Andolfatto presents his results under the assumption that θb = infinity, and he structures the model so that all loans are one-period, or short-term, loans. Thus, we can easily interpret Andolfatto’s model as a model of banks that create money. If we interpret Andolfatto’s model in this way, however, it’s not clear how to relate the model to either financial markets or non-banks.

Market-based lending does not function to finance working capital without bank credit and liquidity support (see, e.g., Stigum and Crescenzi 2007 pp. 976-77 on commercial paper), so if we are going to distinguish financial markets from banks we need to model them as long-term lending markets. Just as the short term assets sold on markets depend on bank guarantees, so do non-banks when they invest in these bank supported assets. Thus, non-bank lending, when it is being distinguished from bank lending, also needs to be modeled as long-term lending. Since there is only one-period, short-term debt in this model, there is no way to discuss market-based or non-bank lending as distinct from bank lending in this model.

This interpretation of the model is completely different from Andolfatto who claims:

“In the model, banks and financial markets are competing mechanisms for allocating credit. Banks are “special” only to the extent they are better than markets at funding investment. This specialness is not (in the model) logically rooted in their ability to create money. In particular, bond-finance in the model is “special” if it is the lower cost way to fund investment. Variations in the parameter that governs the willingness/ability of non-bank creditors to extend credit generates business cycles in the exact same way it would in a banking economy.”

But what Andolfatto has done is to reduce the statement that banks create money to a claim that banks can fund their loans ex nihilo: trust makes it possible for banks to finance working capital in this way. This framework underestimates what it means to say that banks create money, which I argue includes not just (i) the ability to fund loans ex nihilo, but also (ii) the “on demand” nature of the bank’s liability when it funds such loans. In short, there is a fundamental category distinction between bank obligations that are inherently monetary because they are payable at par “on demand” and non-bank obligations which do not have this property.

By modelling in detail only the investment financing side of the bank’s activities and not the monetary or “on demand” aspect of the bank’s liabilities, Andolfatto’s interpretation of his model abstracts from the concept of “money” itself. I would argue that the right way to bring the concept of money back into this model is to recognize that each period over which the bank is lending is fundamentally short, such as a week or a month. There is no evidence that capital markets can finance this type of activity without bank support.

In short, Andolfatto’s whole discussion assumes that “banks and financial markets are competing mechanisms for allocating credit,” and it assumes that it is appropriate to model “credit” as entirely homogeneous. In fact, “credit” is an overarching category that embraces more than one distinct form of lending. Bank credit, because it associated with the expansion of the money supply is categorically different from a bond issue, which does not increase the supply of “on demand” liabilities in the economy. Treating a 10 year bond obligation as substantially the same as a one-month advance of workers’ wages, because they are both “credit” fails to draw enough real-world distinctions about the nature of the financial system to be useful.

Thus, in my view if we are to treat the banking section of the Andolfatto model as a model of banking, then we must also recognize that it cannot at the same time be a model of financial markets. In order to introduce financial markets into the model, it will be necessary to introduce longer term debt.

In defense of economic theory

I’ve just read JW Mason’s post “The Wit and Wisdom of Trygve Haavelmo.” I read this post as an empiricist’s view of economics, and I think that there is an equally valid theorist’s view of economics. The difference, in my view, lies more in how we think about what economics is that in the more practical question of how we do economics.

That is, I agree “that we study economics not as an end in itself, but in response to the problems forced on us by the world,” but I disagree strongly with the claim that “the content of a theory is inseparable from the procedures for measuring the variables in it.”

JW Mason writes “Within a model, the variables have no meaning, we simply have a set of mathematical relationships that are either tautologous, arbitrary, or false. The variables only acquire meaning insofar as we can connect them to concrete social phenomena.” Oddly, while I disagree vehemently with the first sentence, I have a lot of sympathy with the second.

So how does a theorist think about economic modelling?

To me the purpose of an economic model is to define a vocabulary that we can use to discuss economic phenomena. So the inherent value of a variable in an economic model is the way that the economic model gives the variable a very specific concrete meaning. “Consumer demand” means something very specific and clear in the context of a neoclassical model, and the fact that we can agree on this — separate and apart from economic data — is useful for the purposes of economic discourse.

Of course, it is also true that we need to be able to map this vocabulary over to real economic phenomena in order for the value of the vocabulary to be realized. Thus, the hardest and most important part of economic theory is mapping the theory back into real world phenomena. Thus while I don’t agree that “the content of a theory is inseparable from the procedures for measuring the variables in it,” I wouldn’t have a problem with the claim that “the usefulness of a theory is inseparable from the procedures for measuring the variables in it.”

Economic models are dictionaries, whereas a brilliant economic paper is more like a literary classic. As someone who is always using dictionaries to check the meaning of words, I consider dictionaries valuable in and of themselves, even though I don’t by any means consider that value to be the same as the value of literary classic.

I hope JW Mason won’t see this as splitting hairs, but I think it’s important to understand economic modelling as a means of creating a vocabulary for discussing the economy. The power of theory is that if it is mastered, it can be used to create new words and new ways of understanding the economy. Such a new vocabulary will only be truly useful if it can be brought to the data and if it helps explain the real world. But I think it is essential to understand the power of theory, lest this point be lost in a sea of data.

Brokers, dealers and the regulation of markets: Applying finreg to the giant tech platforms

Frank Pasquale (h/t Steve Waldman) offers an interesting approach to dealing with the giant tech firms’ privileged access to data: he contrasts a Jeffersonian — “just break ’em up” approach — with a Hamiltonian — regulate them as natural monopolies approach. Although Pasquale favors the Hamiltonian approach, he opens his essay by discussing Hayekian prices. Hayekian prices simultaneously aggregate distributed knowledge about the object sold and summarize it, reflecting the essential information that the individuals trading in the market need to know. While gigantic firms are alternate way of aggregating data, there is little reason to believe that they could possibly produce the benefits of Hayekian prices, the whole point of which is to publicize for each good a specific and extremely important summary statistic, the competitive price.

Pasquale’s framing brings to mind an interest parallel with the history of financial markets. Financial markets have for centuries been centralized in stock/bond and commodities exchanges, because it was widely understood that price discovery works best when everyone trades at a single location. The single location by drawing almost all market activity offers both “liquidity” and the best prices. The dealers on these markets have always been recognized as having a privileged position because of their superior access to information about what’s going on in the market.

One way to understand Google, Amazon, and Facebook is that they are acting as dealers in a broader economic marketplace. That with their superior knowledge about supply and demand they have an ability to extract gains that is perfectly analogous to dealers in financial markets.

Given this framing, it’s worth revisiting one of the most effective ways of regulating financial markets: a simple, but strict, application of a branch of common law, the law of agency was applied to the regulation of the London Stock Exchange from the mid-1800s through the 1986 “Big Bang.” It was remarkably effective at both controlling conflicts of interest and producing stable prices, but post World War II was overshadowed and eclipsed by the conflict-of-interest-dominated U.S. markets. In the “Big Bang” British markets embraced the conflicted financial markets model — posing a regulatory challenge which was recognized at the time (see Christopher McMahon 1985), but was never really addressed.

The basic principles of traditional common law market regulation are as follows. When a consumer seeks to trade in a market, the consumer is presumed to be uninformed and to need the help of an agent. Thus, access to the market is through agents, called brokers. Because a broker is a consumer’s agent, the broker cannot trade directly with the consumer. Trading directly with the consumer would mean that the broker’s interests are directly adverse to those of the consumer, and this conflict of interest is viewed by the law as interfering with the broker’s ability to act an agent. (Such conflicts can be waived by the consumer, but in early 20th century British financial markets were generally not waived.)

A broker’s job is to help the consumer find the best terms offered by a dealer. Because dealers buy and sell, they are prohibited from acting as the agents of the consumers — and in general prohibited from interacting with them directly at all. Brokers force dealers to offer their clients good deals by demanding two-sided quotes and only after learning both the bid and the ask, revealing whether their client’s order is a buy or a sell. Brokers also typically get bids from different dealers to make sure that the the prices on offer are competitive.

Brokers and dealers are strictly prohibited from belonging to the same firm or otherwise working in concert. The validity of the price setting mechanism is based on the bright line drawn between the different functions of brokers and of dealers.

Note that this system was never used in the U.S., where the law of agency with respect to financial markets was interpreted very differently, and where financial markets were beset by conflicts of interest from their earliest origins. Thus, it was in the U.S. that the fixed fees paid to brokers were first criticized as anti-competitive and eventually eliminated. In Britain the elimination of fixed fees reduced the costs faced by large traders, but not those faced by small traders (Sissoko 2017). By adversely affecting the quality of the price setting mechanism, the actual costs to traders of eliminating the structured broker-dealer interaction was hidden. We now have markets beset by “flash-crashes,” “whales,” cancelled orders, 2-tier data services, etc. In short, our market structure instead of being designed to control information asymmetry, is extremely permissive of the exploitation of information asymmetry.

So what lessons can we draw from the structured broker-dealer interaction model of regulating financial markets? Maybe we should think about regulating Google, Amazon, and Facebook so that they have to choose between either being the agents in legal terms of those whose data they collect, or of being sellers of products (or agents of these sellers) and having no access to buyer’s data.

In short, access to customer data should be tied to agency obligations with respect to that data. Firms with access to such data can provide services to consumers that help them negotiate a good deal with the sellers of products that they are interested in, but their revenue should come solely from the fees that they charge to consumers on their purchases. They should not be able to either act as sellers themselves or to make any side deals with sellers.

This is the best way of protecting a Hayekian price formation process by making sure that the information that causes prices to move is the flow of buy or sell orders that is generated by a dealer making two-sided markets and choosing a certain price point. And concurrently by allowing individuals to make their decisions in light of the prices they face. Such competitive pricing has the benefit of ensuring that prices are informative and useful for coordinating economic decision making.

When prices are not set by dealers who are forced to make two-sided markets and who are given no information about the nature of the trader, but instead prices are set by hyper-informed market participants, prices stop having the meaning attributed to them by standard economic models. In fact, given asymmetric information trade itself can easily degenerate away from the win-win ideal of economic models into a means of extracting value from the uninformed, as has been demonstrated time and again both in theory and in practice.

Pasquale’s claim that regulators need to permit “good” trade on asymmetric information (that which “actually helps solve real-world problems”) and prevent “bad” trade on asymmetric information (that which constitutes “the mere accumulation of bargaining power and leverage”) seems fantastic. How is any regulator to have the omniscience to draw these distinctions? Or does the “mere” in the latter case indicate the good case is to be presumed by default?

Overall, it’s hard to imagine a means of regulating informational behemoths like Google, Amazon and Facebook that favors Hayekian prices without also destroying entirely their current business models. Even if the Hamiltonian path of regulating the beasts is chosen, the economics of information would direct regulators to attach agency obligations to the collection of consumer data, and with those obligations to prevent the monetization of that data except by means of fees charged to the consumer for helping them find the best prices for their purchases.

Access to Credit is the Key to a Win-Win Economy

Matt Klein directs our attention to an exchange between Jason Furman and Dani Rodrik that took place at the “Rethinking Macroeconomic Policy” Conference. Both argued that, while economists tend to focus on efficiency gains or “growing the pie”, most policy proposals have a small or tiny efficiency effect and a much much larger distributional effect. Matt Klein points out that in a world like this political competition for resources can get ugly fast.

I would like to propose that one of the reasons we are in this situation is that we have rolled back too much of a centuries-old legal structure that used to promote fairness — and therefore efficiency — in the financial sector.

Adam Tooze discusses 19th century macro in follow up to Klein’s post:

Right the way back to the birth of modern macroeconomics in the late 19th century, the promise of productivist national economic policy was that one could suspend debate about distribution in favor of “growing the pie”.

In Britain where this approach had its origins, access to bank credit was extremely widespread (at least for those with Y chromosomes). While the debt was typically short-term, it was also the case that typically even as one bill was paid off, another was originated. Such debt wasn’t just generally available, it was usually available at rates of 5% per annum or less. No collateral was required to access the system of bank credit, though newcomers to the system typically had to have 1 or 2 people vouch for them.

I’ve just completed a paper that argues that this kind of bank credit is essential to the efficiency of the economy. While it’s true that in the US discrimination has long prevented certain groups from having equal access to financial services — and that the consequences of this discrimination show up in current wealth statistics, it seems to me that one of the disparities that has become more exaggerated across classes over the past few decades is access to lines of credit.

The facts are a harder to establish than they should be, because as far as I can tell the collection of business lending data in the bank call reports has never carefully distinguished between loans secured by collateral other than real estate and loans that are unsecured. (Please let me know if I’m wrong and there is somewhere to find this data.) In the early years of the 20th century, the “commercial and industrial loans” category would I believe have comprised mostly unsecured loans. Today not only has the C&I category shrunk as a fraction of total bank loans, but given current bank practices it seems likely that the fraction of unsecured loans within the category has also shrunk.

This is just a long form way of stating that it appears that the availability of cheap unsecured credit to small and medium sized business has declined significantly from what it was back when early economists were arguing that we could focus on efficiency and not distribution. Today small business credit is far more collateral-dependent than it was in the past — with the exception of course of credit card debt. Charge cards, however, charge more than 19% per annum for a three-month loan which is about a 300% markup on what would have been charged to an unsecured business borrower in the 19th century. To the degree that it is collateralized credit that is easily available today, it will obviously favor the wealthy and aggravate distributional issues.

In my paper the banking system makes it possible for allocative efficiency to be achieved, because everybody has access to credit on the same terms. As I explained in an earlier post, in an economy with monetary frictions there is no good substitute for credit. For this reason it seems obvious that an economy with unequal access to short term bank credit will result in allocations that are bounded away from an efficient allocation. In short, in the models with monetary frictions that I’m used to working with equal access to credit is a prerequisite for efficiency.

If we want to return to a world where economics is win-win, we need a thorough restructuring of the financial sector, so that access to credit is much more equal than it is today.

Equity financed banking is inefficient

I see that Tyler Cowen and John Cochrane are having an exchange about banking. First, Cowen expresses a nuanced view of banking, then Cochrane takes the opportunity to promote his narrow (aka equity-financed) banking proposal, and Cowen questions how successful equity-financed is likely to be in practice.

With my latest paper, I have something different to contribute to the discussion: a model of how banking — and the leverage of banks — promotes efficiency. From a macro perspective the argument is really very simple: we all know from the intertemporal Euler equation that it is optimal for everyone to short a non-interest bearing safe asset. (The Friedman Rule is just an expression of this fact.) The point of my paper is that we should understand banking as the institutionalization of a naked short of the unit of account.

How is this efficiency-enhancing? A naked short position requires you to sell something that you do not have. It is a means of creating a temporary “phantom” supply of what is sold, until such time as the short position is closed out. The Euler equation tells us that a “phantom” supply that supports short positions is exactly what the economy needs to achieve intertemporal allocative efficiency.

Of course, the problem with a naked short position is that if a short squeeze (aka bank run) forces the closure of the positions too early, bankruptcy will be the result. The paper is a careful study of what is necessary to make this role of the banking system incentive feasible, and finds (alongside many other studies) that competitive banking is inherently unstable. Two means of stabilizing banking in the context of the model are (i) the natural monopoly approach: permit a non-competitive industry structure, but regulate what banks can charge; or (ii) the central bank approach: set a lower bound on the interest rate banks can charge.

So I don’t think that Cowen really captures what banks do when he presents “transforming otherwise somewhat illiquid activities into liquid deposits” as the primary liquidity function of banks. In my model banks promote allocative efficiency by creating “phantom” units of account. But I think Cowen does capture a lot of the regulatory complexity that is created by the liquidity function of banks.

Cochrane is the one, whom I really think is working from the wrong model. I’ll go through his points one by one.

1) We’re awash in government debt.

So what. Unless the government is going to start guaranteeing private sector naked short positions in government debt, it doesn’t matter how government debt we have, because it will do nothing to solve the monetary problem. We need banks because they do make possible for the private sector in aggregate to support a naked short position in the unit of account (that’s what bank deposits are) and this is necessary for intertemporal allocative efficiency.

2) Liquidity no longer requires run-prone assets. Floating value assets are now perfectly liquid

This view fundamentally misunderstands the settlement process in securities transactions. I responded to this view in a previous post and will simply quote it here:

Cochrane, because his theoretic framework is devoid of liquidity frictions, does not understand that the traditional settlement process whether for equity or for credit card purchases necessarily requires someone to hold unsecured short-term debt or in other words runnable securities. This is a simple consequence of the fact that the demand for balances cannot be netted instantaneously so that temporary imbalances must necessarily build up somewhere. The alternative is for each member to carry liquidity balances to meet gross, not net, demands. Thus, when you go to real-time gross settlement (RTGS) you increase the liquidity demands on each member of the system. RTGS in the US only functions because the Fed provides an expansive intraday liquidity line to banks (see Fed Funds p. 18). In short RTGS without abundant unsecured central bank support drains liquidity instead of providing it. (See Kaminska 2016 for liquidity problems related to collateralized central bank support.) In fact, arguably the banking system developed precisely in order to address the problem of providing unsecured credit to support netting as part of the settlement of payments.

Just as RTGS systems can inadvertently create liquidity droughts, so the system Cochrane envisions is more likely to be beset by liquidity problems, than “awash in liquidity” (p. 200) – unless of course the Fed is willing to take on significant intraday credit exposure to everybody participating in the RTGS system. (Here is an example of a liquidity frictions model that tackles these questions, Mills and Nesmith JME 2008). Overall the most important lesson to draw from Cochrane’s proposal is that we desperately need better models of banking and money, so we can do a better job of evaluating what it is that banks do.

3) Leverage of the banking system need not be leverage in the banking system.

Because the purpose of banking is to promote economic efficiency by providing society with “phantom” units of account, we need leverage in the banking system. What Cochrane calls “banking” cannot play the role of banks as I model them.

4) Inadequate funds for investment

My model of banking does not provide funds for investment — as least as a first order effect. My model of banking only provides funds for transactions. On the other hand, as a second order effect by promoting allocative efficiency, it seems likely that banks make investing more profitable than in an environment without banks. So an extension of the model that shows that banking promotes investment should not be difficult.

In short, both Tyler Cowen and John Cochrane are in desperate need of a better model relating the macroeconomy to banking. It’s right here.