Asymmetric information

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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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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Tougher capital regulation pays off

Banks continue to lobby for weaker financial regulation: capital requirements are excessive, liquidity requirements are overly restrictive, and stress tests are too burdensome. Yes, in the aftermath of the 2007-09 financial crisis, we needed reforms, they say, but Basel III and Dodd-Frank have gone too far.

Unfortunately, these complaints are finding sympathetic ears in a variety of places. U.S. authorities are considering changes that would water down existing standards. In Europe, news is not promising either. These developments are not only discouraging, but they are self-defeating. Higher capital clearly improves resilience. And, at current levels of capitalization, it does not limit banks’ ability to support economic activity.

As it turns out, on this particular subject, there may be less of a discrepancy between private and social interests than is commonly believed. The reason is that investors reward banks in jurisdictions where regulators and supervisors promote social welfare through tougher capital standards....

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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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Adverse Selection: A Primer

Information is the basis for our economic and financial decisions. As buyers, we collect information about products before entering into a transaction. As investors, the same goes for information about firms seeking our funds. This is information that sellers and fund-seeking firms typically have. But, when it is too difficult or too costly to collect information, markets function poorly or not at all.

Economists use the term adverse selection to describe the problem of distinguishing a good feature from a bad feature when one party to a transaction has more information than the other party. The degree of adverse selection depends on how costly it is for the uninformed actor to observe the hidden attributes of a product or counterparty. When key characteristics are sufficiently expensive to discern, adverse selection can make an otherwise healthy market disappear.

In this primer, we examine three examples of adverse selection: (1) used cars; (2) health insurance; and (3) private finance. We use these examples to highlight mechanisms for addressing the problem....

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Truth or consequences: Ponzi schemes and other frauds

In the financial world, the real scandal is often what’s legal, but you still have to watch out for fraudsters. If you don’t pay the costs of screening and monitoring your financial counterparties, you may lose your house.

The never-ending need for financial vigilance came to mind recently when we noticed that the 1920 home of Charles Ponzi was for sale in Lexington Massachusetts. It’s a very large house – 7 bedrooms, 6 bathrooms, 7000 square feet of space (650 square meters) on nearly an acre of land (0.4 hectares).(You can see a picture here.) ...
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