Disclosure

Reforming the Federal Home Loan Bank System

We authored this post jointly with our friend and colleague, Lawrence J. White, Robert Kavesh Professor of Economics at the NYU Stern School of Business.

Some government financial institutions strengthen the system; others do not. In the United States, as the lender of last resort (LOLR), the Federal Reserve plays a critical role in stabilizing the financial system. Unfortunately, their LOLR job is made harder by the presence of the Federal Home Loan Bank (FHLB) system—a government-sponsored enterprise (GSE) that acts as a lender of next-to-last resort, keeping failing institutions alive and increasing the ultimate costs of their resolution.

We saw this dangerous pattern clearly over the past year when loans (“advances”) from Federal Home Loan Banks (FHLBs) helped postpone the inevitable regulatory reckoning for Silicon Valley Bank (SVB), Signature Bank, and First Republic Bank (see Cecchetti, Schoenholtz and White, Chapter 9 in Acharya et. al. SVB and Beyond: The Banking Stress of 2023).

From a public policy perspective, FHLB advances have extremely undesirable properties. First, in addition to being overcollateralized, these loans are senior to other claims on the borrowing banks—including those of the Federal Deposit Insurance Corporation (FDIC) and the Federal Reserve: If the borrower defaults, the FHLB lender has a “super-lien.” Second, there is little timely disclosure about the identity of the borrowers or the amount that they borrow. Third, they are willing to provide speedy, low-cost funding to failing institutions—something we assume private lenders would not do.

In this post, we make specific proposals to scale back the FHLB System’s ability to serve as a lender to stressed banks….

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The Extraordinary Failures Exposed by Silicon Valley Bank's Collapse

The collapse of Silicon Valley Bank (SVB) revealed an extraordinary range of astonishing failures. There was the failure of the bank’s executives to manage the maturity and liquidity risks that are basic to the business of banking: they failed Money and Banking 101. There was the failure of market discipline by investors who either didn’t notice or didn’t care about the fact that the bank was severely undercapitalized for the better part of a year before it collapsed. There was the failure of the supervisors to compel the bank to manage the simplest and most obvious risks. And, there was the failure of the resolution authorities to act in mid-2022 when SVB’s true net worth had sunk far below the minimum threshold for “prompt corrective action.”

Waiting several quarters to act deepened the threat to the financial system, undermining confidence not only in many other banks but also in the competence of the supervisors. The extraordinary rescue actions last week by both the deposit insurer (FDIC) and the lender of last resort (Federal Reserve) are just a sign of the high costs associated with restoring financial stability when confidence plunges.

In this post we discuss each of these four failures, as well as the actions that authorities took to stabilize the financial system following the SVB failure. To anticipate our conclusions, we see an urgent need for officials to do at least five things:

  • First, to regain credibility, supervisors need to do an immediate review of the unrealized losses on the balance sheets of all 45 banks with assets in excess of $50 billion.

  • Second, they should perform a speedy and focused stress test on each of these banks to assess the  impact on their true net worth of a sizable further increase in interest rates. Any bank with a capital shortfall should be compelled either to issue new equity or shut down. (To ensure the availability of the necessary resources, authorities will need to have a pool of public funds available to recapitalize banks that cannot attract private investors.)

  • Third, to restore resilience, Congress must reverse the 2018-19 weakening of regulation that allowed medium-size banks to escape rigorous capital and liquidity requirements.

  • Fourth, the authorities must change accounting rules to ensure that reported capital more accurately reflects each bank’s true financial condition.

  • Finally, policymakers should assess the impact on the financial system and on the federal debt arising from the now-implicit promise to insure all deposits in a crisis. To limit risk taking, correspondingly greater fees and higher capital and liquidity requirements should accompany any explicit increase in the cap on deposit insurance.

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U.S. Gets a Start on Climate-related Financial Risk

Co-authored with Richard Berner, NYU Stern Clinical Professor of Finance and Co-Director, Volatility and Risk Institute.

Many sources of risk threaten the U.S. financial system. Pandemic risk and cyber risk are at or near the top of our list of nightmares. Yet, with the UN Climate Change conference (COP26) under way in Glasgow, attention is shifting to efforts aimed at limiting the economic and financial damage from climate change, including a timely new “Report on Climate-related Financial Risk” from the U.S. Financial Stability Oversight Council (FSOC).

As the Report makes clear, U.S. policymakers need a far better understanding of climate-related financial risk. Indeed, when President Biden issued an executive order in May instructing financial regulators to conduct a thorough risk assessment, the United States already was behind other advanced economies. As an initial response to the President’s directive, the Report catalogs the range of climate risk threats, describes actions individual U.S. regulators have begun taking to address them, and lists many things that still need to be done. By setting priorities, the FSOC is now putting climate change “squarely at the forefront of the agenda of its member agencies.”

In this post, we highlight three themes in the Report: (1) the ongoing rise of physical climate risk; (2) the conceptual challenges associated with measurement, as well as the data gaps; and (3) the benefits of scenario analysis as a tool for assessing the financial stability risks arising from climate change. The key lesson that we draw from scenario analysis is that a financial system resilient to a range of other shocks is more likely to be resilient against climate risk. Put differently, a less-resilient financial system is vulnerable to all types of shocks, including those arising from climate change.

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Climate Finance

Climate change is the topic of the day. The World Meteorological Organization tells us that the 2011-20 decade was the warmest on record. Earlier this year, the U.S. government re-joined the Paris Accord, and is proposing a range of new programs to mitigate the long-run impact of climate change. Now that a warming planet has made the Arctic increasingly navigable, national security specialists are concerned about geopolitical risks there. Thousands of economists have endorsed a carbon tax. Even central banks have joined together to form the Network for the Greening of the Financial System—a forum to discuss how to take account of climate change in assessing financial stability.

Against that background, last month, NYU Stern’s Volatility and Risk Institute (VRI) held a conference on finance and climate change. Speakers addressed issues ranging from the modeling and measurement of climate risk in finance to assessing its impact on the resilience of the financial system. In this post, we primarily focus on one of the central challenges facing policymakers and practitioners: what is the appropriate discount rate for evaluating the relative costs and benefits of investments in climate change mitigation that will not pay off for decades? We also comment briefly on several other issues in the rapidly growing field of climate finance research.

Past responses to the discount-rate question vary widely. Some observers call for a discount rate matching the high expected return on long-lived, risky assets—a number as high as 7%. This would imply a very low present value of benefits from investments to mitigate climate change, consistent with only modest current expenditures. Others postulate that climate change could lead to the extinction of humanity. For plausible discount rates, the specter of a nearly infinite loss means that virtually any level of mitigation investment is warranted (see, for example, Holt).

Recent climate finance research that we summarize here comes to the conclusion that over any reasonable horizon, the appropriate discount rate for computing the net present value of investments in climate change mitigation should be relatively low….

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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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Monitoring the Monitors

Disclosure is a fundamental pillar of our market-based financial system. When information is accurate and complete, asset prices can reflect both expected return and risk. Yet, having information is one thing; using it appropriately is something else entirely. To evaluate the relative merit of a large number of potential investments, most people (including us) rely on specialists to do the monitoring: Independent auditors vouch for the accuracy of financial statements. Credit rating agencies tell us about the riskiness of bonds. Various brokers and specialized firms rate equities. And, for mutual funds, there are several monitors, of which Morningstar is the most prominent.

But, when the specialists fail to do their jobs, disaster can strike. Examples abound: auditors failed in the case of Enron; equity analysts overvalued technology firms during the dotcom boom; and rating agencies’ inflated assessments of structured debt contributed substantially to the financial crisis of a decade ago (see here). So, there is cause for concern anytime we see evidence that key monitors are falling short.

This brings us to the recent work of Chen, Cohen and Gurun (CCG) on Morningstar’s classification of bond mutual funds. They argue that mutual fund managers are providing inaccurate reports, and that Morningstar is taking them at their word when better information from standard disclosures is readily available. In this post, we describe CCG’s forensic analysis, but we don’t need to postpone our conclusion: if we can’t trust the monitors, then markets will not function properly….

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Making Unelected Power Legitimate

Through what administrative means should a democratic society in an advanced economy implement regulation? In practice, democratic governments opt for a variety of solutions to this challenge. Historically, these approaches earned their legitimacy by allocating power to elected officials who make the laws or directly oversee their agents.

Increasingly, however, governments have chosen to implement policy through agencies with varying degrees of independence from both the legislature and the executive. Under what circumstances does it make sense in a democracy to delegate powers to the unelected officials of independent agencies (IA) who are shielded from political influence? How should those powers be allocated to ensure both legitimacy and sustainability?

These are the critical issues that Paul Tucker addresses in his ambitious and broad-ranging book, Unelected Power. In addition to suggesting areas where delegation has gone too far, Tucker highlights others—such as the maintenance of financial resilience (FR)—where agencies may be insufficiently shielded from political influence to ensure effective governance. His analysis raises important questions about the regulatory framework in the United States.

In this post, we discuss Tucker’s principles for delegating authority to an IA. A key premise—that we share with Tucker—is that better governance can help substitute where simple policy rules are insufficient for optimal decisions….

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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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Opportunities in Finance

“We’re really only at 1% of what is possible, and probably even less than that. […] We should be building great things that don’t exist.”     Larry Page, Google I/O 2013 Keynote

With the summer coming to an end, professors everywhere are greeting a new group of students. So, our thoughts turn to the opportunities and challenges that those interested in finance will face over the course of their careers.

Like many important activities, finance is constantly evolving, so the “facts” that students learn in classes today will almost certainly change rapidly. With that in mind, we always strive to find a set of core principles that will endure, so that students can build a career based both on a set of specialized skills and on a broad capacity to imagine where finance and the financial system are heading...

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The World of ETFs

The first U.S. exchange-traded fund (ETF)—the SPY based on the S&P500—began trading in 1993. Since then, the number of such funds has grown dramatically, so that by mid-2016 there were more than 1,600 ETFs on U.S. exchanges valued at roughly $2.2 trillion. This means that ETFs are now roughly one-sixth the size of open-end mutual funds. And, with this ETF growth has come a broadening in their scope and character. Today, there are ETFs that include less liquid assets such as corporate bonds and emerging market equities, and there are funds that provide inverse or leveraged exposure to the underlying assets.

Given these trends, it is no surprise that ETFs have attracted regulators’ attention (see, for example, here and here). Should they be concerned? Is this a consumer protection issue? Do ETFs contribute to systemic risk? Or, is their design stabilizing? Might financial stability even be served by the conversion of all open-end mutual funds into ETFs? ...

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