Adverse selection

Big Tech, Fintech, and the Future of Credit

Lenders want to know that borrowers will pay them back. That means assessing creditworthiness before making a loan and then monitoring borrowers to ensure timely payment in full. Lenders have three principal tools for raising the likelihood of that firms will repay. First, they look for borrowers with a sufficiently large personal stake in their enterprise. Second, they look for firms with collateral that lenders can seize in the event of a default. Third, they obtain information on the firm’s current balance sheet, its historical revenue and profits, experience with past loans, and the like.

Unfortunately, this conventional approach to overcoming the challenges of asymmetric information is less effective for new firms that have both very short credit histories and very little in the way of physical collateral. As a result, these potential borrowers have trouble obtaining funds through standard channels. This is one reason that governments subsidize small business lending, and why entrepreneurs are forced to pledge their homes as collateral.

Well, new solutions have emerged to overcome this old problem. In this post we discuss how technology is increasing small firms’ access to credit. By using massive amounts of data to improve credit assessments, as well as real-time information and platform advantages to enforce repayment terms, technology companies appear to be doing what traditional lenders have not: making loans to millions of small businesses at attractive rates and experiencing remarkably low default rates.

The biggest advances are in places where financial systems are not meeting social needs….

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Contagion: Bank Runs and COVID-19

There are currently more than 85,000 confirmed cases of COVID-19 in at least 60 countries. Yet, we know very little about this pathogen, except that everyone is worried. And, with the number of cases rising each day, intensifying concerns probably will lead many people to behave in ways that undermine economic activity. They will shy away from places where the virus can be transmitted. That means avoiding mass transit, schools, and workplaces.

Moreover, many people will stay away until they are confident that the disease is manageable. That confidence probably requires an effective treatment, a very low likelihood of infection, or both. Not surprisingly, many observers are reducing their projections for economic growth this year, while financial market participants anticipate easier monetary policy to cushion the shock.

The challenge of re-establishing public confidence that it is safe to venture out bears striking similarity to the one that authorities face in stemming a bank run. Our ability to identify and quarantine people infected with COVID-19 is analogous to our ability to recognize and isolate a bank bordering on insolvency. This and other similarities suggest that the means we use to control bank runs also may be useful in managing the economic consequences of an emerging pandemic like COVID-19….

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Bank Runs and Panics: A Primer

A bank promises its clients immediate access to cash. Depositors can redeem their funds on demand at face value—first come, first served. Other short-term creditors can do the same, albeit at varying speeds, by not rolling over their loans. And, households and firms that pay a fee for a credit commitment can take down their loans at will.

For banks that hold illiquid assets, these promises of liquidity on demand are the key source of vulnerability. The same applies to other financial institutions (de facto or shadow banks) that perform bank-like services, using their balance sheets to transform illiquid, longer-maturity, risky assets into liquid, short-maturity, low-risk liabilities.

A bank run occurs when depositors wish to make a large volume of withdrawals all at once. A bank that cannot meet this sudden demand fails. Even solvent banks—those whose assets exceed the value of their liabilities—fail if they cannot convert their assets into cash rapidly enough (and with minimal loss) to satisfy their clients’ demands. A banking panic is the plural of a bank run: when clients run on multiple banks. We call the spread of runs from one bank to others contagion—the same term used to describe the spread of a biological pathogen.

In this primer, we characterize the sources of bank runs and panics, as well as the tools we use to prevent or mitigate them….

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Has P2P lending already hit the wall?

The two biggest U.S. P2P lenders, Prosper and Lending Club, started operations in 2005 and 2007, respectively. Over the past decade, their business has grown so that they now originate more than $10 billion in loans per year. The public information provided by Lending Club gives us an opportunity to judge how they are doing. At first, P2P lending returns appear remarkably high (adjusted for volatility), but growing evidence of adverse selection highlights how difficult it will be to sustain growth.

When we last wrote about P2P lending, we suggested that profitability might be a consequence of the booming economy (see here and here). We concluded that one would need to see performance in a recession before judging P2P’s long-run potential. That is, when you are making consumer loans, it is relatively easy to make money as the unemployment rate falls from 10% to 3.5%. However, profitability over the course of an entire business cycle, including periods when joblessness is rising, is an entirely different story.

Well, maybe there is no need to wait….

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Sources of Finance: Internal versus External

It ought not be surprising that borrowing can be difficult. In good times, households usually can obtain financing to purchase a house or car. But these loans are secured with collateral that is easy to resell. Even so, some measures suggest that it is currently more difficult than under “normal” conditions to obtain mortgage finance (see the Urban Institute’s Housing Credit Availability Index on page 16).

With firms, credit has been rising significantly in recent years—across advanced and emerging economies alike (see the BIS measures through 2017 here). Yet, commercial borrowers, especially small and medium sized enterprises, complain loudly when they feel that their ability to succeed is being hampered by overly cautious lenders. And, since lenders often find it difficult to both assess a business’s prospects and to monitor effort once a loan is made, aside from periods of euphoria borrowing can be quite difficult.

As we discuss in our primers on adverse selection and moral hazard, information asymmetries make external funding—either through equity or debt—expensive. And, while the entire financial system is designed to reduce these costs, they are still quite high….

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Banks and Money, Or Watch out What You Wish For

On 10 June 2008, a large majority of voters in Switzerland rejected a proposal that all commercial bank demand deposits be held at the central bank. This Vollgeld referendum was another incarnation of the justifiable public revulsion to financial crises and the bailouts that inevitably accompany them. Vollgeld proponents claimed that a system in which the central bank is the sole issuer of “money” will be more stable.

Serious people debated the wisdom of this proposal. One of Switzerland’s premier monetary economists, Philippe Bacchetta, wrote passionately in opposition. Martin Wolf, chief economics commentator at the Financial Times, argued in favor. And Swiss National Bank Chairman Thomas Jordan discussed the many dangers in detail.

It should come as no surprise that, had we had been among the Swiss voters, we would have voted “no.” In our view, the Vollgeld (sovereign money) initiative combined aspects of narrow banking with those of retail central bank digital currency. We see these as misguided, distorting the credit allocation mechanism and more likely to reduce than improve financial stability (see here and here). In the remainder of this post, we explain why….

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Ten Years After Bear

Ten years ago this week, the run on Bear Stearns kicked off the second of three phases of the Great Financial Crisis (GFC) of 2007-2009. In an earlier post, we argued that the crisis began in earnest on August 9, 2007, when BNP Paribas suspended redemptions from three mutual funds invested in U.S. subprime mortgage debt. In that first phase of the crisis, the financial strains reflected a scramble for liquidity combined with doubts about the capital adequacy of a widening circle of intermediaries.

In responding to the run on Bear, the Federal Reserve transformed itself into a modern version of Bagehot’s lender of last resort (LOLR) directed at managing a pure liquidity crisis (see, for example, Madigan). Consequently, in the second phase of the GFC—in the period between Bear’s March 14 rescue and the September 15 failure of Lehman—the persistence of financial strains was, in our view, primarily an emerging solvency crisis. In the third phase, following Lehman’s collapse, the focus necessarily turned to recapitalization of the financial system—far beyond the role (or authority) of any LOLR.

In this post, we trace the evolution of the Federal Reserve during the period between Paribas and Bear, as it became a Bagehot LOLR. This sets the stage for a future analysis of the solvency issues that threatened to convert the GFC into another Great Depression.

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Understanding Bank Capital: A Primer

Over the past 40 years, U.S. capital markets have grown much faster than banks, so that banks’ share of credit to the private nonfinancial sector has dropped from 55% to 34% (see BIS statistics here).  Nevertheless, banks remain a critical part of the financial system. They operate the payments system, supply credit, and serve as agents and catalysts for a wide range of other financial transactions. As a result, their well-being remains a key concern. A resilient banking system is, above all, one that has sufficient capital to weather the loan defaults and declines in asset values that will inevitably come.

In this primer, we explain the nature of bank capital, highlighting its role as a form of self-insurance providing both a buffer against unforeseen losses and an incentive to manage risk-taking. We describe some of the challenges in measuring capital and briefly discuss a range of approaches for setting capital requirements. While we do not know the optimal level of capital that banks (or other intermediaries) should be required to hold, we suggest a practical approach for setting requirements that would promote the safety of the financial system without diminishing its efficiency....

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Free Riding in Finance: A Primer

Many features of our financial system—institutions like banks and insurance companies, as well as the configuration of securities markets—are a consequence of legal conventions (the rules about property rights and taxes) and the costs associated with obtaining and verifying information. When we teach money and banking, three concepts are key to understanding the structure of finance: adverse selection, moral hazard, and free riding. The first two arise from asymmetric information, either before (adverse selection) or after (moral hazard) making a financial arrangement (see our earlier primers here and here).

This primer is about the third concept: free riding. Free riding is tied to the concept of a public good, so we start there. Then, we offer three examples where free riding plays a key role in the organization of finance: credit ratings; schemes like the Madoff scandal; and efforts to secure financial stability more broadly....

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Moral Hazard: A Primer

The term moral hazard originated in the insurance business. It was a reference to the need for insurers to assess the integrity of their customers. When modern economists got ahold of the term, the meaning changed. Instead of making judgments about a person’s character, the focus shifted to incentives. For example, a fire insurance policy might limit the motivation to install sprinklers while a generous automobile insurance policy might encourage reckless driving. Then there is Kenneth Arrow’s original example of moral hazard: health insurance fosters overtreatment by doctors. Employment arrangements suffer from moral hazard, too: will you shirk unpleasant tasks at work if you’re sure to receive your paycheck anyway?

Moral hazard arises when we cannot costlessly observe people’s actions and so cannot judge (without costly monitoring) whether a poor outcome reflects poor fortune or poor effort. Like its close relative, adverse selection, moral hazard arises because two parties to a transaction have different information. This information asymmetry manifests itself in two ways. Where adverse selection is about hidden attributes, affecting a transaction before it occurs, moral hazard is about hidden actions that have an impact after making an arrangement.

In this post, we provide a brief introduction to the concept of moral hazard, focusing on how various aspects of the financial system are designed to mitigate the challenges it causes....

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