Leverage

A Primer on Private Sector Balance Sheets

Double-entry bookkeeping is an extremely powerful concept. Dating at least from the 13th century (or possibly much earlier), it is the idea that any increase or decrease on one side of an entity’s balance sheet has an equal and opposite impact on the other side of the balance sheet. Put differently, whenever an asset increases, either another asset must decrease, or the sum of liabilities plus net worth must increase by the same amount.

In this post, we provide a primer on the nature and usefulness of private sector balance sheets: those of households, nonfinancial firms, and financial intermediaries. As we will see, a balance sheet provides extremely important and useful information. First, it gives us a measure of net worth that determines whether an entity is solvent and quantifies how far it is from bankruptcy. This tells us whether an indebted firm or household is likely to default on its obligations. Second, the structure of assets and liabilities helps us to assess an entity’s ability to meet a lender’s immediate demand for the return of funds. For example, how resilient is a bank to deposit withdrawals?

After discussing how balance sheets work, we show how to apply the lessons to the November 2007 balance sheet of Lehman Brothers—nearly a year before its collapse on September 15, 2008….

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Thoughts on Deposit Insurance

Government guarantees have become the norm in the financial system. According to the latest Federal Reserve Bank of Richmond (2017) estimate, the U.S. government’s safety net covers 60% of private financial liabilities in the United States. Serious underpricing of government guarantees gives intermediaries the incentive to take risk that can threaten the entire financial system: the Great Financial Crisis of 2007-09 is the most obvious case in point.

Deposit insurance is arguably the oldest and most widespread form of government guarantee in finance. In the United States, Congress established the Federal Deposit Insurance Corporation (FDIC) at the depth of the Great Depression in 1933 to help prevent bank runs. Today, more than 140 countries have some type of deposit insurance scheme.

In this post, we briefly review the evolution of FDIC deposit insurance pricing. We highlight evidence that, largely because of Congressional mandates, the federal insurance guarantee was underpriced for many years. It is not until 2011, following the crisis of 2007-09, that the FDIC introduced the current framework for risk-based deposit insurance fees, bringing insurance premia closer to what observers would deem to be actuarially fair.

Going forward, as with any insurance regime, keeping up with the evolution of bank (and broader financial system) risks will require a willingness to update the deposit insurance pricing framework from time to time. That means adjusting pricing to reflect both the range of bank risk-taking at a point in time and—to ensure the sustainability of the deposit insurance fund without taxpayer subsidies—the evolution of aggregate risk….

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House Prices at Risk

Following the boom and bust of the 2000s, there is widespread agreement that residential real estate is a key source of vulnerability in advanced and emerging economies alike. Housing accounts for a significant fraction of wealth, especially for people in the middle of the income distribution, who are much less likely to own risky financial assets (see our earlier post). Furthermore, housing is highly leveraged, creating risks to both homeowners and their lenders.

In the United States, real housing prices have rebounded by nearly 40 percent from their 2012 trough. Today, they are only about 10 percent shy of their 2006 peak. As such, it is natural to ask whether we are once again facing a heightened risk of a crash. Enter “House Prices at Risk” (HaR)—a new worst-case metric created by the IMF to assess the likely scale of a housing price bust conditional on a bad state of the world. Consistent with the IMF’s previous work on “GDP at Risk” (see our earlier post), we view HaR as a valuable addition to the arsenal of risk indicators that allow market professionals and policymakers to monitor financial vulnerability….

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U.S. Monetary Policy Spillovers

Do changes in U.S. dollar interest rates have a material impact on financial conditions elsewhere in the world? The answer is a resounding yes (see the paper one of us presented at this month’s IMF Annual Research Conference). When the Federal Reserve eases, the result is a dramatic increase in financial system leverage in other countries. Not only that, but the impact is larger than that of domestic policy changes.

The outsized cross-border impact of U.S. monetary policy creates obvious challenges for policymakers abroad aiming to maintain financial stability. Governments in the countries most affected have few options to limit the risks created by cyclical changes in dollar interest rates. The available mix of prudential measures includes more stringent capital requirements, limits on foreign currency liabilities, and restrictions on cross-border capital flows. The alternative of trying to counter U.S. monetary stimulus through higher policy interest rates abroad may backfire….

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Taking the **Sock** out of FSOC

In the aftermath of the financial crisis of 2007-2009, the U.S. Congress created the Financial Stability Oversight Council (FSOC – pronounced “F-Sock”)—a panel of the heads of the U.S. regulatory agencies—“to identify risks to the financial stability of the United States”; “to promote market discipline” by eliminating expectations of government bailouts; and “to respond to emerging threats” to financial stability.

Despite these complex and critical objectives, the law limited FSOC’s authority to the designation of: (1) specific nonbanks as systemically important financial intermediaries (SIFIs), and; (2) critical payments, clearance and settlement firms as financial market utilities (FMUs). Nonbank SIFIs are then supervised by the Federal Reserve, which imposes stricter scrutiny on them (as it does for large banks), while FMUs are jointly overseen by the Fed and the relevant market regulators.

At the peak of its activity in 2013-14, the FSOC designated four nonbanks as SIFIs: AIG, GE Capital, MetLife, and Prudential Insurance. Following the Council’s October 16 rescission of the Prudential designation, there are no longer any nonbank SIFIs. Not only that, but by making a future designation highly unlikely, Treasury and FSOC have undermined the deterrence effect of the FSOC’s SIFI authority. In short, by taking the sock out of FSOC, recent actions seriously weaken the post-crisis apparatus for securing U.S. (and global) financial stability. In the remainder of this post we review the Treasury’s revised approach to SIFI designation in the context of the Prudential rescission….

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Assessing Housing Risk

Housing debt typically is on the short list of key sources of risk in modern financial systems and economies. The reasons are simple: there is plenty of it; it often sits on the balance sheets of leveraged intermediaries, creating a large common exposure; as collateralized debt, its value is sensitive to the fluctuations of housing prices (which are volatile and correlated with the business cycle), resulting in a large undiversifiable risk; and, changes in housing leverage (based on market value) influence the economy through their impact on both household spending and the financial system (see, for example, Mian and Sufi).

In this post, we discuss ways to assess housing risk—that is, the risk that house price declines could result (as they did in the financial crisis) in negative equity for many homeowners. Absent an income shock—say, from illness or job loss—negative equity need not lead to delinquency (let alone default), but it sharply raises that likelihood at the same time that it can depress spending. As it turns out, housing leverage by itself is not a terribly useful leading indicator: it can appear low merely because housing prices are unsustainably high, or high because housing prices are temporarily low. That alone provides a powerful argument for regular stress-testing of housing leverage. And, because housing markets tend to be highly localized—with substantial geographic differences in both the level and the volatility of prices—it is essential that testing be at the local level….

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FEMA for Finance

Modern financial systems are inherently vulnerable. The conversion of savings into investment—a basic function of finance—involves substantial risk. Creditors often demand liquid, short-term, low-risk assets; and borrowers typically wish to finance projects that take time to generate their uncertain returns. Intermediaries that bridge this gap—transforming liquidity, maturity and credit between their assets and liabilities—are subject to runs should risk-averse savers come to doubt the market value of their assets.

The modern financial system is vulnerable in a myriad of other ways as well. For example, if hackers were to suddenly render a key identification technology untrustworthy, it could disable the payments system, bringing a broad swath of economic activity to an abrupt halt. Similarly, the financial infrastructure that implements most transactions—ranging from retail payments to the clearing and settlement of securities and derivatives trades—typically relies on a few enormous hubs that are irreplaceable in the short run. Economies of scale and scope mean that such financial market utilities (FMUs) make transactions cheap, but they also concentrate risk: even their temporary disruption could be catastrophic. (One of our worst nightmares is a cyber-attack that disables the computer and power grid on which our financial system and economy are built.)

With these concerns in mind, we welcome our friend Kathryn Judge’s innovative proposal for a financial “Guarantor of Last Resort”—or emergency guarantee authority (EGA)—as a mechanism for containing financial crises. In this post, we discuss the promise and the pitfalls of Judge’s proposal. Our conclusion is that an EGA would be an excellent tool for managing the fallout from dire threats originating outside the financial system—cyber-terrorism or outright war come to mind. In such circumstances, we see an EGA as a complement to existing conventional efforts at enhancing financial system resilience.

However, the potential for the industry to game an EGA, as well as the very real possibility that politicians will see it as a substitute for rigorous capital and liquidity requirements, make us cautious about its broader applicability. At least initially, this leads us to conclude that the bar for invoking an EGA should be set very high—higher than Judge suggests….

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Financial Crisis: The Endgame

Ten years ago this month, the run on Lehman Brothers kicked off the third and final phase of the Great Financial Crisis (GFC) of 2007-2009. In two earlier posts (here and here), we describe the prior phases of the crisis. The first began on August 9, 2007, when BNP Paribas suspended redemptions from three mutual funds invested in U.S. subprime debt, kicking off a global scramble for safe, liquid assets. And the second started seven months later when, in response to the March 2008 run on Bear Stearns, the Fed provided liquidity directly to nonbanks for the first time since the Great Depression, completing its crisis-driven evolution into an effective lender of last resort to solvent, but illiquid intermediaries.

The most intense period of the crisis began with the failure of Lehman Brothers on September 15, 2008. Credit dried up; not just uncollateralized lending, but short-term lending backed by investment-grade collateral as well. In mid-September, measures of financial stress spiked far above levels seen before or since (see here and here). And, the spillover to the real economy was rapid and dramatic, with the U.S. economy plunging that autumn at the fastest pace since quarterly reporting began in 1947.

In our view, three, interrelated policy responses proved critical in arresting the crisis and promoting recovery. First was the Fed’s aggressive monetary stimulus: after Lehman, within its mandate, the Fed did “whatever it took” to end the crisis. Second was the use of taxpayer resources—authorized by Congress—to recapitalize the U.S. financial system. And third, was the exceptional disclosure mechanism introduced by the Federal Reserve in early 2009—the first round of macroprudential stress tests known as the Supervisory Capital Assessment Program (SCAP)—that neutralized the worst fears about U.S. banks.

In this post, we begin with a bit of background, highlighting the aggregate capital shortfall of the U.S. financial system as the source of the crisis. We then turn to the policy response. Because we have discussed unconventional monetary policy in some detail in previous posts (here and here), our focus here is on the stress tests (combined with recapitalization) as a central means for restoring confidence in the financial system….

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Bank Capital and Stress Tests: The Foundation of a Thriving Economy

We submitted this statement to the Subcommittee on Financial Institutions and Consumer Credit of the Committee on Financial Services of the U.S. House of Representatives for its hearing on July 17, 2018.

We appreciate the opportunity to submit the following statement on the occasion of the hearing entitled “Examining Capital Regimes for Financial Institutions.” We welcome the Subcommittee’s further examination of the existing regulatory approach for prudentially regulated financial institutions.

We are academic experts in financial regulation with extensive knowledge of the financial industry. Our experience includes working with private sector financial institutions, government agencies and international organizations. In our view, a strong and resilient financial system is an essential foundation of a thriving economy. The welfare of every modern society depends on it. The bedrock of this foundation is that banks’ capital buffers are sufficient to withstand significant stress without recourse to public funds. Furthermore, it is our considered view that the benefits of raising U.S. capital requirements from their current modest levels clearly outweigh the costs.

To explain this conclusion, we start with a definition of bank capital, including a discussion of its importance as a mechanism for self-insurance. We then turn to capital regulation and a discussion of stress testing….

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Black Monday: 30 Years After

On Monday, October 19, 1987, the Dow Jones Industrial Average plunged 22.6 percent, nearly twice the next largest drop—the 12.8 percent Great Crash on October 28, 1929, that heralded the Great Depression.

What stands out is not the scale of the decline—it is far smaller than the 90 percent peak-to-trough drop of the early 1930s—but its extraordinary speed. A range of financial market and institutional dislocations accompanied this rapid plunge, threatening not just stocks and related instruments (domestically and globally), but also the U.S. supply of credit and the payments system. As a result, Black Monday has been labeled “the first contemporary global financial crisis.” And, a new book—A First-Class Catastrophe—narrates the tense human drama that it created for market and government officials. A movie seems sure to follow.

Our reading of history suggests that it was only with a great dose of serendipity that we escaped catastrophe in 1987. Knowing that fortune usually favors the well prepared, the near-collapse on Black Monday prompted market participants, regulators, the lender of last resort, and legislators to fortify the financial system.

In this post, we review key aspects of the 1987 crash and discuss subsequent steps taken to improve the resilience of the financial system. We also highlight a key lingering vulnerability: we still have no mechanism for managing the insolvency of critical payment, clearing and settlement (PCS) institutions....

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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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An Open Letter to the Honorable Randal K. Quarles

Dear Mr. Quarles,

Congratulations on your nomination as the first Vice Chairman for Supervision on the Board of Governors of the Federal Reserve System. We are pleased that President Trump has chosen someone so qualified, and we are equally pleased that you are willing to serve.

Assuming everything goes according to plan, you will be assuming your position just as we mark the 10th anniversary of the start of the global financial crisis. As a direct consequence of numerous reforms, the U.S. financial system—both institutions and markets—is meaningfully stronger than it was in 2007. Among many other things, today banks finance a larger portion of their lending with equity, devote more of their portfolios to high-quality, liquid assets, and clear a large fraction of derivatives through central counterparties.

That said, in our view, the system is not yet strong enough. In your new role, it will be your job to continue to fortify the financial system to make it sufficiently resilient.

With that task in mind, we humbly propose some key agenda items for the first few years of your term in office. We divide our suggestions into five broad categories (admittedly with significant overlap): capital and communications, stress testing, too big to fail, resolution, and regulation by economic function....

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China: Deleveraging is Hard to Do

For the first time in nearly three decades, Moody’s recently downgraded the long-term sovereign debt of China, lowering its rating from Aa3 to A1. As is frequently true in such cases, the adjustment was overdue. Since China’s massive fiscal stimulus in 2008, the government has experienced a surge in contingent liabilities, as its (implicit and explicit) guarantees fueled an extraordinary credit boom that continues today.

While the need to foster financial discipline is obvious, the process will be precarious. Ning Zhu, the author of China’s Guaranteed Bubble, has compared the scaling back of state guarantees to defusing a bomb. China’s guarantees have distorted incentives and risk taking for so many years that stepping back and allowing market forces to operate will inevitably impose large, unanticipated losses on many people and businesses. Financial history is replete with failed policy efforts to address credit-fueled asset price booms, such as the current one in China’s real estate. There is no safe mechanism for economy-wide deleveraging.

China’s policymakers are clearly aware of the dangers they face and are making serious efforts to address them. This year, authorities have initiated a new crackdown aimed at reducing the systemic risks that have been stoked by the credit boom. This post focuses on that policy effort, including the background causes and what will be needed (aside from good fortune) to make it work....

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Regulating Wall Street: The Financial CHOICE Act and Systemic Risk

With the shift in power in Washington, among other things, the people newly in charge are taking aim at financial sector regulation. High on their agenda is repeal of much of the Dodd-Frank Act of 2010, the most far-reaching financial regulatory reform since the 1930s. The prime objective of Dodd-Frank is to prevent a wholesale collapse of financial intermediation and the widespread damage that comes with it. That is, the new regulatory framework seeks to reduce systemic risk, by which we mean that it lowers the likelihood that the financial system will become undercapitalized and vulnerable in a manner that threatens the economy as a whole.

The Financial CHOICE Act proposed last year by the House Financial Services Committee is the most prominent proposal to ease various regulatory burdens imposed by Dodd-Frank. The CHOICE Act is complex, containing provisions that would alter many aspects of Dodd-Frank, including capital requirements, stress tests, resolution mechanisms, and more. This month, more than a dozen faculty of the NYU Stern School of Business (including one of us) and the NYU School of Law published a comprehensive study contrasting the differences between the CHOICE Act and Dodd-Frank.

Regulating Wall Street: CHOICE Act vs. Dodd-Frank considers the impact both on financial safety and on efficiency. In some cases, the CHOICE Act would slash inefficient regulation in a manner that would not foster systemic risk. At the same time, the book highlights the key flaw of the CHOICE Actthe failure to address systemic risk properly....

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Liquidity Transformation and Open-end Funds

In the aftermath of Britain’s July 2016 vote to exit the European Union, six U.K. open-end property funds with nearly £15 billion in assets suspended redemptions. These funds had routinely engaged in an extreme version of liquidity transformation: offering investors the ability to convert their shares into cash daily on demand, while holding highly illiquid commercial properties. Fortunately, the overall sector was small, and its post-referendum disruption neither spilled over broadly to funds holding other assets, nor prompted a wave of fire sales that might have undermined the balance sheets of leveraged intermediaries. Nevertheless, the episode was of sufficient concern that the U.K. Financial Conduct Authority (FCA) is now reviewing its “regulatory approach to open-ended funds that invest in illiquid assets” (see here).

The FCA is not alone in its concerns. Other regulators have been looking closely at risks associated with the liquidity transformation performed by open-end funds. And, interest in the official sector has been accompanied by a wave of academic research on liquidity management in open-end funds that generally buttresses the regulators’ concerns. In this piece, we briefly highlight the work of the regulators, summarize the research, and finally reprise our proposal to convert open-end funds into exchange-traded funds (ETFs).

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Ending Too Big to Fail

More than six years after the Dodd-Frank Act passed in July 2010, the controversy over how to end “too big to fail” (TBTF) remains a key focus of financial reform. Indeed, TBTF—which led to the troubling bailouts of financial behemoths in the crisis of 2007-2009—is still one of the biggest challenges in reducing the probability and severity of financial crises. By focusing on the largest, most complex, most interconnected financial intermediaries, Dodd-Frank gave officials a range of crisis prevention and management tools. These include the power to designate specific institutions as systemically important financial institutions (SIFIs), a broadening of Fed supervision, the authority to impose stress tests and living wills, and (with the FDIC’s “Orderly Liquidation Authority”) the ability to facilitate the resolution of a troubled SIFI. But, while Dodd-Frank has likely made the U.S. financial system safer than it was, it does not go far enough in reducing the risk of financial crises or in ensuring credibility of the resolution mechanism (see our earlier commentary here, here and here). It also is exceedingly complex.

Against this background, we welcome the work of the Federal Reserve Bank of Minneapolis and their recently announced Minneapolis Plan to End Too Big to Fail (the Plan). While the Plan raises issues that require further consideration—including the potential for regulatory arbitrage and the calibration of the tools on which it relies—it is straightforward, based on sound principles, and focuses on cost-effective tools. In this sense, the Plan represents a big step forward...

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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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The China Debate

China’s rapid credit expansion is worrying. Will Chinese policymakers be able to contain the growth of credit without undermining economic growth and without triggering a banking or currency crisis? Aside from the consequences of Brexit, this is probably the most important issue facing global policymakers and investors today.

As it turns out, there are powerful arguments on both sides. The positives—high national savings and returns to investment, combined with the government’s broad tools for intervention—must be measured against a set of negatives—growing loan losses, the spread of shadow banking, large capital outflows, falling investment returns, and declining confidence in the government’s financial policy management. Against this complex background, it is no wonder that concerns and uncertainty are both high. What one can say confidently remains conditional:  things are very likely to end badly if the credit buildup continues amid slowing economic growth...

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Bank Capital and Monetary Policy

Capital—the excess of assets over liabilities—determines solvency, so policymakers are used to thinking of it as a tool for keeping banks and the banking system safe. House Financial Services Chair Hensarling’s proposal to allow banks to opt for a simple capital standard that would substitute for other regulatory oversight is just the most recent example.

But bank capital also is a critical factor in the transmission of monetary policy. When central banks ease, their actions are intended to encourage banks to lend and firms to borrow.  And, to put it simply: healthy banks lend to healthy firms, while weak banks lend to weak firms (if at all)....

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