Category: Macroeconomics

An Old-Fashioned Bank Run: The Collapse of Silicon Valley Bank [This post will be updated as new information becomes available. Updated Monday morning March 13.]

Photo from the Wall Street Journal

Rumors spread about the financial state of a bank. Some depositors begin to withdraw funds from their accounts. Suddenly a wave of withdrawals occurs and regulators step in and close the bank. A description of a run on a bank in New York City in the fall of 1930? No. This happened to Silicon Valley Bank, headquartered in Santa Clara, California and the sixteenth largest bank in the United States, on Friday, March 10, 2023.

Background on Bank Runs

In Macroeconomics, Chapter 14, Section 14.4 (Economics, Chapter 24, Section 24.4) we describe the basic reasons why a run on a bank may occur. We describe bank runs in greater detail in Money, Banking, and the Financial System, Chapter 12. We reproduce here a key paragraph on the underlying fragility of commercial banking from Chapter 12 of the money and banking text:

The basic activities of commercial banks are to accept short-term deposits, such as checking account deposits, and use the funds to make loans—including car loans, mortgages, and business loans—and to buy long-term securities, such as municipal bonds. In other words, banks borrow short term from depositors and lend, often long term, to households, firms, and governments. As a result, banks have a maturity mismatch because the maturity of their liabilities—primarily deposits—is much shorter than the maturity of their assets—primarily loans and securities. Banks are relatively illiquid because depositors can demand their money back at any time, while banks may have difficulty selling the loans in which they have invested depositors’ money. Banks, therefore, face liquidity risk because they can have difficulty meeting their depositors’ demands to withdraw their money. If more depositors ask to withdraw their money than a bank has money on hand, the bank has to borrow money, usually from other banks. If banks are unable to borrow to meet deposit withdrawals, then they have to sell assets to raise the funds. If a bank has made loans and bought securities that have declined in value, the bank may be insolvent, which means that the value of its assets is less than the value of its liabilities, so its net worth, or capital, is negative. An insolvent bank may be unable to meet its obligations to pay off its depositors.

The Founding of the Fed and the Establishment of the FDIC as a Response to Bank Runs

The instability of the banking system led to a number of financial crises during the 1800s and early 1900s, culminating in the Panic of 1907. Congress responded by passing the Federal Reserve Act in 1913, establishing the Federal Reserve System. The Fed was given the role of lender of last resort, making discount loans to banks that were experiencing deposit runs but that remained solvent.  The failure of the Fed to stop the bank panics of the early 1930s led Congress to establish the Federal Deposit Insurance Corporation (FDIC) to ensure deposits in commercial banks, originally up to a limit of $2,500 per deposit, per bank. The current limit is $250,000.

Deposit insurance reduced the likelihood of runs but increased moral hazard in the banking system by eliminating the incentive insured depositors had to monitor the actions of bank managers. In principle, bank managers still have an incentive to avoid making risky loans and other investments for fear of withdrawals by households and firms with deposits that exceed the dollar deposit limit.

Contagion, Moral Hazard, and the Too-Big-to-Fail Policy

But if these depositors fail to monitor risk taking by bank managers or if a bank’s loans and investments decline in price even though they weren’t excessively risky at the time they were made, the FDIC and the Fed face a dilemma. Allowing banks to fail and large depositors to be only partially paid back may set off a process of contagion that results in runs spreading to other banks. Problems in the banking system can affect the wider economy by making it more difficult for households and firms that depend on bank loans to finance their spending. (We discuss the process of contagion in this post on the Diamond-Dybvig model.)

The Fed and the FDIC can stop the process of contagion if they are willing to ensure that large depositors don’t suffer losses. One mechanism to achieve this result is facilitating a merger between an insolvent bank and another bank that agrees to assume responsibility for meeting depositors withdrawals from the insolvent bank. But stopping contagion in this manner with no depositors suffering losses can be interpreted as amounting to deposit insurance having no dollar limit. The result is a further increase in moral hazard in the banking system. When the federal government does not allow large financial firms to fail for fear of damaging the financial system, it is said to be following a too-big-to-fail policy. 

Silicon Valley Bank and VCs

 Runs on commercial banks have been rare in recent decades, which is why the run on Silicon Valley Bank (SVB) took many people by surprise.  As its name indicates, SVB is located in the heart of California’s Silicon Valley and the bank played an important role in the financing of many startups in the area. As such, SVB provided banking services to many venture capital (VC) firms. As we note in Chapter 9, Section 9.2 of the money and banking text, venture capital firms play an important role in providing funding to startup firms:

VCs such as Sequoia Capital, Accel, and Andreessen Horowitz raise funds from investors and invest in small startup firms, often in high-technology industries. In recent years, VCs have raised large amounts from institutional investors, such as pension funds and university endowments. A VC frequently takes a large ownership stake in a startup firm, often placing its own employees on the board of directors or even having them serve as managers. These steps can reduce principal–agent problems because the VC has a greater ability to closely monitor the managers of the firm it’s investing in. The firm’s managers are likely to be attentive to the wishes of a large investor because having a large investor sell its stake in the firm may make it difficult to raise funds from new investors. In addition, a VC avoids the free-rider problem when investing in a firm that is not publicly traded because other investors cannot copy the VC’s investment strategy.

An article on bloomberg.com summarized SVB’s role in Silicon Valley. SVB is

the single most critical financial institution for the nascent tech scene, serving half of all venture-backed companies in the US and 44% of the venture-backed technology and health-care companies that went public last year. And its offerings were vast — ranging from standard checking accounts, to VC investment, to loans, to currency risk management.

Note from this description that SVB acted as a VC—that is, it made investments in startup firms—as well as engaging in conventional commercial banking activities, such as making loans and accepting deposits. The CEO of one startup was quoted in an article in the Wall Street Journal as saying, “For startups, all roads lead to Silicon Valley Bank.” (The Wall Street Journal article describing the run on SVB can be found here. A subscription may be required.)

SVB’s Vulnerability to a Run

As with any commercial bank, the bulk of SVB’s liabilities were short-term deposits whereas the bulk of its assets were long-term loans and other investments. We’ve discussed above that this maturity mismatch means that SVB—like other commercial banks—was vulnerable to a run if depositors withdraw their funds. We’ve also seen that in practice bank runs are very rare in the United States. Why then did SVB experience a run? SVB was particularly vulnerable to a run for two related reasons:

1. Its deposits are more concentrated than is true of a typical bank. Many startups and VCs maintain large checking account balances with SVB. According to the Wall Street Journal, at the end of 2022, SVB had $157 billion in deposits, the bulk of which were in just 37,000 accounts. Startups often initially generate little or no revenue and rely on VC funding to meet their expenses. Most Silicon Valley VCs advised the startups they were invested in to establish checking accounts with SVB. 

2. Accordingly, the bulk of the value of deposits at SVB was greater than the $250,000 FDIC insurance limit. Apparently 93 percent to 97 percent of deposits were above the deposit limit as opposed to about 50 percent for most commercial banks.

Economics writer Noah Smith notes that SVB required that startups it was lending to keep their deposits with SVB as a condition for receiving a loan. (Smith’s discussion of SVB can be found on his Substack blog here. A subscription may be required.)

The Reasons for the Run on SVB

When the Fed began increasing its target for the federal funds rate in March 2022 in response to a sharp increase in inflation, longer term interest rates, including interest rates on U.S. Treasury securities, also increased. For example the interest rate on the 10-year Treasury note increased from less than 2 percent in March 2022 to more than 4 percent in March 2023. The interest rate on the 2-year Treasury note increased even more, from 1.5 percent in March 2022 to around 5 percent in March 2023.

As we discuss in the appendix to Macroeconomics, Chapter 6 (Economics, Chapter 8) and in greater detail in Money, Banking, and the Financial System, Chapter 3, the price of a bond or other security equals the present value of the payments the owner of the security will receive. When market interest rates rise, as happened during 2022 and early 2023, the value of the payments received on existing securities—and therefore the prices of these securities—fall. Treasury securities are free from default risk, which is the risk that the Treasury won’t make the interest and principal payments on the security, but are subject to interest-rate risk, which is the risk that the price of security will decrease as market interest rates rise.

As interest rates rose, the value of bonds and other long-term assets that SVB owned fell. The price of an asset on the balance sheet of a firm is said to be marked to market if the price is adjusted to reflect fluctuations in the asset’s market price. However, banking law allows a bank to keep constant the prices of bonds on its balance sheets if it intends to hold the bonds until they mature, at which point the bank will receive a payment equal to the principal of the bond. But if a bank needs to sell bonds, perhaps to meet its liquidity needs as depositors make withdrawals, then the losses on the bonds have to be reflected on the bank’s balance sheet.

SVB’s problems began on Wednesday, March 8 when it surprised Wall Street analysts and the bank’s Silicon Valley clients by announcing that to raise funds it had sold $21 billion in securities at a loss of $1.8 billion. It also announced that it was selling stock to raise additional funds. (SVB’s announcement can be found here.) SVB’s CEO also announced that the bank would borrow an additional $15 billion. Although the CEO stated that the bank was solvent, as an article on fortune.com put it, “Investors didn’t buy it.” In addition to the news that SVB had suffered a loss on its bond sales and had to raise funds, some analysts raised the further concern that the downturn in the technology sector meant that some of the firms that SVB had made loans to might default on the loans.

Problems for SVB compounded the next day, Thursday, March 9, when Peter Theil, a co-founder of PayPal and Founders Fund, a leading VC, advised firms Founders Fund was invested in to withdraw their deposits from SVB.  Other VCs began to pull their money from SVB and advised their firms to do the same and a classic bank run was on.  Because commercial banks lack the funds to pay off a significant fraction of their depositors over a short period of time, in a run, depositors with funds above the $250,000 deposit insurance limit know that they need to withdraw their funds before other depositors do and the bank is forced to close. This fact makes it difficult for a bank to stop a run once it gets started.

According to an article in the Wall Street Journal, by the end of business on Thursday, depositors had attempted to withdraw $42 billion from SVB. The FDIC took control of SVB the next day, Friday, March 10, before the bank could open for business. 

The Government Response to the Collapse of SVB

The FDIC generally handles bank failures in one of two ways: (1) It closes the bank and pays off depositors, or (2) it purchases and assumes control of the bank while finding another bank that is willing to purchase the failed bank. If the FDIC closes a bank, it pays off the insured depositors immediately, using the bank’s assets. If those funds are insufficient, the FDIC makes up the difference from its insurance reserves, which come from payments insured banks make to the  FDIC. After the FDIC has compensated insured depositors, any remaining funds are paid to uninsured depositors.

As we write this on Sunday, March 12, leaders of the Fed, the FDIC, and the Treasury Department, were considering what steps to take to avoid a process of contagion that would cause the failure of SVB to lead to deposit withdrawals and potential failures of other banks—in other words, a bank panic like the one that crippled the U.S. economy in the early 1930s, worsening the severity of the Great Depression. These agencies hoped to find another bank that would purchase SVB and assume responsibility for meeting further deposit withdrawals.

Another possibility was that the FDIC would declare that closing SVB, selling the bank’s assets, and forcing depositors above the $250,000 deposit limit to suffer losses would pose a systemic risk to the financial system. In that circumstance, the FDIC could provide insurance to all depositors however large their deposits might be. As discussed earlier, this approach would increase moral hazard in the banking system because it would, in effect, waive the limit on deposit insurance. Although the waiver would apply directly only to this particular case, large depositors in other banks might conclude that if their bank failed, the FDIC would waive the deposit limit again. Under current law, the FDIC could only announce they were waiving the deposit limit if two-thirds of the FDIC’s Board of Directors, two-thirds of the Fed’s Board of Governors, and Treasury Secretary Janet Yellen agreed that failure of SVB would pose a systemic risk to the financial system. 

According to an article on wsj.com posted at 4 pm on Sunday afternoon, bank regulators were conducting an auction for SVB in the hopes that a buyer could be found that would assume responsibility for the bank’s uninsured deposits. [Update evening of Monday March 13: The Sunday auction failed when no U.S. banks entered a bid. Late Monday, the FDIC was planning on holding another auction, with potentially better terms available for the acquiring bank.]

Update: At 6:15 pm Sunday, the Treasury, the Fed, and the FDIC issued a statement (you can read it here). As we noted might occur above, by invoking a situation of systemic risk, the FDIC was authorized to allow all depositors–including those with funds above the deposit limit of $250,000–to access their funds on Monday morning. Here is an excerpt from the statement:

“After receiving a recommendation from the boards of the FDIC and the Federal Reserve, and consulting with the President, Secretary Yellen approved actions enabling the FDIC to complete its resolution of Silicon Valley Bank, Santa Clara, California, in a manner that fully protects all depositors. Depositors will have access to all of their money starting Monday, March 13. No losses associated with the resolution of Silicon Valley Bank will be borne by the taxpayer.”

[Update Monday morning March 13] As we discussed above, one of the problems SVB faced was a decline in the prices of its bond holdings. As a result, when it sold bonds to help meet deposit outflows, it suffered a $2.1 billion loss. Most commercial banks have invested some of their deposits in Treasury bonds and so potentially face the same problem of having to suffer losses if they need to sell the bonds to meet deposit outflows. 

To deal with this issue, Sunday night the Fed announced that it was establishing the Bank Term Funding Program (BTFP). Banks and other depository institutions, such as savings and loans and credit unions, can use the BTFP to borrow against their holdings of Treasury and mortgage-backed securities and agency debt. (Agency debt consists of  bonds issued by any federal government agency other than the U.S. Treasury. Most agency debt is bonds issued by the Government Sponsored Agencies (GSEs) involved in the mortgage market: Federal National Mortgage Association (Fannie Mae), Government National Mortgage Association (Ginnie Mae), and the Federal Home Loan Mortgage (Freddie Mac).) The Fed explained its reasons for setting up the BTFP: “The BTFP will be an additional source of liquidity against high-quality securities, eliminating an institution’s need to quickly sell those securities in times of stress.” You can read the Fed’s statement here.

On Sunday, Signature Bank was closed by New York state banking officials and the FDIC. As with SVB, the Fed, FDIC, and Treasury announced that all depositors, including those whose deposits were above the $250,000 deposit limit, would be able to withdraw the full amount of their deposits.

Shareholders in SVB and Signature Bank lost their investments when the FDIC took control of the banks. On Monday morning, investors were selling shares of a number of regional banks who might also face runs, fearing that their investments would be lost if the FDIC were to seize these banks. 

President Biden, speaking from the White House, attempted to reassure the public that the banking system was safe. He stated that he would ask Congress to explore changes in banking regulations to reduce the likelihood of future bank failures. 

Soft Landing, Hard Landing … or No Landing?

During the recovery from the Covid–19 pandemic, inflation as measured by the personal consumption expenditures (PCE) price index, first rose above the Federal Reserve’s target annual inflation rate of 2 percent in March 2021. Many economists inside and outside of the Fed believed the increase in inflation would be transitory because it was thought to be mainly the result of supply chain problems and an initial burst of spending as business lockdowns were ended or mitigated in most areas.

Accordingly, the Federal Open Market Committee (FOMC) kept its target for the federal funds rate at effectively zero (a range of 0 to 0.25 percent) until March 2022 and continued its quantitative easing (QE) program of buying long-term Treasury bonds and mortgage-backed securities (MBS) until that same month.

As the following figure shows, by March 2022 inflation had been well above the FOMC’s target for a year. The Fed responded by raising its target for the federal funds rate and switched from QE to quantitative tightening (QT). Although some supply chain problems were still contributing to the high inflation rate during the spring of 2022, the main driver appeared to be very expansionary monetary and fiscal policies. (This blog post from May 2021 has links to contributions to the debate over macro policy at the time. Glenn’s interview that month with the Financial Times can be found here. In November 2022, Glenn argued that overly expansionary fiscal policy was the main driver of inflation in this op-ed in the Financial Times (subscription or registration may be required).We discuss inconsistencies in the Fed’s forecasts of unemployment and inflation here. And in this post we discuss the question of whether the Fed made a mistake in not attempting to preempt inflation before it accelerated.)

Since March 2022, the FOMC has raised its target for the federal funds rate multiple times. In February 2023, the target was a range of 4.50 to 4.75 percent. Longer-term interest rates have also increased. In particular, the average interest rate on residential mortgage loans increased from 3 percent in March 2022 to 7 percent in November 2022, before falling back to around 6 percent in February 2023.  In the fall of 2022, there was optimism among some economists that the Fed had succeeded in slowing the economy enough to put inflation on a path back to its 2 percent target. Although many economists had expected that inflation would only return to the target if the U.S. economy experienced a recession—labeled a hard landing—the probability that inflation could be reduced without a recession—labeled a soft landing—appeared to be increasing. 

Economic data for January 2023 made a soft landing seem less likely. Consumer spending remained above its trend from before the pandemic, employment increases were unexpectedly high, and inflation reversed its downward trend. A continuation of low rates of unemployment and high rates of inflation wasn’t consistent with either a hard landing or a soft landing. Some observers, particularly in Wall Street financial firms, began describing the situation as no landing. But given the Fed’s strong commitment to returning to its 2 percent target, the no landing scenario couldn’t persist indefinitely.

Many investors had anticipated that the FOMC would end its increases in the federal funds target by mid-2023 and would have made one or more cuts to the target by the end of the year, but that outcome now seems unlikely. The FOMC had increased the federal funds target by only 0.25 percent at its February meeting but many economists now expected that it would announce a 0.50 percent increase at its next meeting on March 21 and 22. Unfortunately, the odds of a hard landing seem to be increasing.

A couple of notes: Although there are multiple ways of measuring inflation, the percentage increase in the PCE is the formal way in which the FOMC determines whether it is hitting its inflation target. To judge what the underlying inflation is—in other words, the inflation rate likely to persist in at least the near future—many economists look at core inflation. In the earlier figure we show movements in core inflation as measured by the PCE excluding prices of food and energy. Note that over the period shown PCE and core PCE follow the same pattern, although core PCE inflation begins to moderate earlier than does core PCE.

Some economists use other adjustments to PCE or to the consumer price index (CPI) in an attempt to better measure underlying inflation. For instance, housing rents and new and used car prices have been particularly volatile since early 2020, so some economists calculate PCE or CPI excluding those prices, as well as food and energy prices. As we discuss in this blog post from last September some economists prefer median CPI as the best measure of underlying inflation. (We discuss some of the alternative ways of measuring inflation in Macroeconomics, Chapter 15, Section 15.5 and Economics, Chapter 25, Section 25.5.) Nearly all these alternative measures of inflation indicated that the moderation in inflation that began in the summer of 2022 had ended in January 2023. So, choosing among measures of underlying inflation wasn’t critical to understanding the current path of inflation. 

Finally, the inflation, employment, and output measures that in January seemed to show that the U.S. economy was still in a strong expansion and that the inflation rate may have ticked up are all seasonally adjusted. Seasonal adjustment factors are applied to the raw (unadjusted) data to account for regular seasonal fluctuations in the series. For instance, unadjusted employment declined in January as measured by both the household and establishment series. Applying the seasonal adjustment factors to the data resulted in the actual decline in employment from December to January turning into an adjusted increase. In other words, employment declined by less than it typically does, so on a seasonally adjusted basis, the Bureau of Labor Statistics reported that it had increased. Seasonal adjustments for the holiday season may be distorted, however, because the 2020–2021 and 2021–2022 holiday seasons occurred during upsurges in Covid. Whether the reported data for January 2023 will be subject to significant revisions when the seasonal adjustments factors are subsequently revised remains to be seen.  The latest BLS employment report, showing seasonally adjusted and not seasonally adjusted data, can be found here.

2/19/23 Podcast – Authors Glenn Hubbard & Tony O’Brien discuss the Fed’s response to economic conditions and their ability to execute a soft-landing.

Join author Glenn Hubbard & Tony O’Brien in their first Sprint 2023 podcast where they revisit inflation as the major topic facing our country, our economy, and our classrooms. Glenn & Tony discuss the Federal Reserve response and the outlook for the economy. While rates have continued to move up, is a soft-landing still possible?

Bad News from the Congressional Budget Office

In 1974, Congress created the Congressional Budget Office (CBO). The CBO was given the responsibility of providing Congress with impartial economic analysis as it makes decisions about the federal government’s budget.  One of the most widely discussed reports the CBO issues is the Budget and Economic Outlook. The report provides forecasts of future federal budget deficits and changes in the federal government’s debt that the budget deficits will cause. The CBO’s budget and debt forecasts rely on the agency’s forecasts of future economic conditions and assumes that Congress will make no changes to current laws regarding taxing and spending. (We discuss this assumption further below.)

 On February 15, the CBO issued its latest forecasts. The forecasts showed a deterioration in the federal government’s financial situation compared with the forecasts the CBO had issued in May 2022. (You can find the full report here.) Last year, the CBO forecast that the federal government’s cumulative budget deficit from 2023 through 2032 would be $15.7 trillion. The CBO is now forecasting the cumulative deficit over the same period will be $18.8 trillion. The three main reason for the increase in the forecast deficits are:

1. Congress has increased spending—particularly on benefits for military veterans.

2) Cost-of-living adjustments for Social Security and other government programs have increased as a result of higher inflation.

3) Interest rates on Treasury debt have increased as a result of higher inflation.

 The CBO forecasts that federal debt held by the public will increase from 98 percent of GDP in 2023 to 118 percent in 2033 and eventually to 198 percent in 2053. Note that economists prefer to measure the size of the debt relative to GDP rather than in as absolute dollar amounts for two main reasons: First, measuring debt relative to GDP makes it easier to see how debt has changed over time in relation to the growth of the economy. Second, the size of debt relative to GDP makes it easier to gauge the burden that the debt imposes on the economy. When debt grows more slowly than the economy, as measured by GDP, crowding effects are likely to be relatively small. We discuss crowding out in Macroeconomics, Chapter 10, Section 10.2 and Chapter 16, Section 16. 5 (Economics, Chapter 20, Section 20.2 and Chapter 26, Section 26.5).  The two most important factors driving increases in the ratio of debt to GDP are increased spending on Social Security, Medicare, and Medicaid, and increased interest payments on the debt.

 The following figure is reproduced from the CBO report. It shows the ratio of debt to GDP with actual values for the period 1900-2022 and projected values for the period 2023-2053. Note that the only other time the ratio of debt to GDP rose above 100 percent was in 1945 and 1946 as a result of the large increases in federal government spending required to fight World War II.

The increased deficits and debt over the next 10 years are being driven by government spending increasing as a percentage of GDP, while government revenues (which are mainly taxes) are roughly stable as a percentage of GDP. The following figure from the report shows actual federal outlays and revenues as a percentage of GDP for the period 1973-2022 and projected outlays and revenues for the period 2023-2033. Note that from 1973 to 2022, outlays averaged 21.0 percent of GDP and revenues averaged 17.4 percent of GDP, resulting in an average deficit of 3.6 percent of GDP. By 2033, outlays are forecast to rise to 24.9 percent of GDP–well above the 1973-2022 average–whereas revenues are forecast to be only 18.1 percent, for a forecast deficit of 6.8 percent of GDP.

The increase in outlays is driven primarily by increases in mandatory spending, mainly spending on Social Security, Medicare, Medicaid, and veterans’ benefits and increases in interest payments on the debt. The CBO’s forecast assumes that discretionary spending will gradually decline over the next 10 years as percentage of GDP. Discretionary spending includes federal spending on defense and all other government programs apart from those, like Social Security, where spending is mandated by law.

To avoid the persistent deficits, and increasing debt that results, Congress would need to do one (or a combination) of the following:

1. Reduce the currently scheduled increases in mandatory spending (in political discussions this alternative is referred to as entitlement reform because entitlements is another name for manadatory spending).

2. Decrease discretionary spending, the largest component of which is defense spending.

3. Increases taxes.

There doesn’t appear to be majority support in Congress for taking any of these steps.

The CBO’s latest forecast seems gloomy, but may actually understate the likely future increases in the federal budget deficit and federal debt. The CBO’s forecast assumes that future outlays and taxes will occur as indicated in current law. For example, the forecast assumes that many of the tax cuts Congress passed in 2017 will expire in 2025 as stated in current law. Many political observers doubt that Congress will allow the tax cuts to expire as scheduled because to do so would result in increases in individual income taxes for most people. (Here is a recent article in the Washington Post that discusses this point. A subscription may be required to access the full article.) The CBO also assumes that defense spending will not increase beyond what is indicated by current law. Many political observers believe that, in fact, Congress may feel compelled to substantially increase defense spending as a result of Russia’s invasion of Ukraine in February 2022 and the potential military threat posed by China.

The CBO forecast also assumes that the U.S. economy won’t experience a recession between 2023 and 2033, which is possible but unlikely. If the economy does experience a recession, federal outlays for unemployment insurance and other programs will increase and federal personal and corporate income tax revenues will fall. The CBO’s forecast also assumes that the interest rate on the 10-year Treasury note will be under 4 percent and that the federal funds rate will be under 3 percent (interest rates on short-term Treasury debt move closely with changes in the federal funds rate). If interest rates turn out to be higher than these forecasts, the federal government’s interest payments will increase, further increasing the deficit and the debt.

In short, the federal government is clearly facing the most difficult budgetary situation since World War II.

If You Have Some Cash to Spare ….

you can bid for Paul Samuelson’s Nobel Prize Medal here. Note that at the time of posting the minimum bid required was $495,000.

You can read a brief biography of Samuelson on the Nobel site here. You can read the lecture Samuelson delivered on the occasion of being awarded the price here. (Note that the lecture contains technical material.)

11/17/22 Podcast – Authors Glenn Hubbard & Tony O’Brien discuss inflation, the Fed’s Response, FTX collapse, and also share thoughts on economics themes in holiday movies!

In the Face of Hyperinflation, Some People in Argentina Don’t Save Currency, They Save … Bricks

Argentina’s Argentina’s Economy Minister Sergio Massa coming from a meeting in Washington, DC with the International Monetary Fund to discuss the country’s hyperinflation. Photo from the Wall Street Journal.

Argentina has been through several periods of hyperinflation during with the price level has increased more than 50 percent per month. The following figure shows the inflation rate as measured by the percentage change in the consumer price index from the previous month for since the beginning of 2018. The inflation rate during these years has been volatile, being greater than 50 percent per month during several periods, including staring in the spring of 2022. High rates of inflation have become so routine in Argentina that an article in the Wall Street Journal quoted on store owner as saying, “Here 40% [inflation] is normal. And when we get past 50%, it doesn’t scare us, it simply bothers us.”

As we discuss in Macroeconomics, Chapter 14, Section 14.5 (Economics, Chapter 24, Section 24.5 ), when an economy experiences hyperinflation, consumers and businesses hold the country’s currency for as brief a time as possible because the purchasing power of the currency is declining rapidly. As we noted in the chapter, in some countries experiencing high rates of inflation, consumers and businesses buy and sell goods using U.S. dollars rather than the domestic currency because the purchasing power of the dollar is more stable. This demand for dollars in countries experiencing high inflation rates is one reason why an estimated 80 percent of all $100 bills circulate outside of the United States. 

The increased demand for U.S. dollars by people in Argentina is reflected in the exchange rate between the Argentine peso and the U.S. dollar. The following figure shows that at the beginning of 2018, one dollar exchanged for about 18 pesos. By November 2022, one dollar exchanged for about 159 pesos. The exchange rate shown in the figure is the official exchange rate at which people in Argentina can legally exchange pesos for dollars. In practice, it is difficult for many individuals and small firms to buy dollars at the official exchange rate. Instead, they have to use private currency traders who will make the exchange at an unofficial—or “blue”—exchange rate that varies with the demand and supply of pesos for dollars. A reporter for the Economist described his experience during a recent trip to Argentina: “Walk down Calle Lavalle or Calle Florida in the centre of Buenos Aires and every 20 metres someone will call out ‘cambio’ (exchange), offering to buy dollars at a rate that is roughly double the official one.” 

People in Argentina are reluctant to deposit their money in banks, partly because the interest rates banks pay typically are lower than the inflation rate, causing the purchasing power of money deposited in banks to decline over time.  People are also afraid that the government might keep them from withdrawing their money, which has happened in the past. As an alternative to depositing their money in banks, many people in Argentina buy more goods than they can immediately use and store them, thereby avoiding future price increases on these goods. The Wall Street Journalquoted a university student as saying: “I came to this market and bought as much toilet paper as I could for the month, more than 20 packs. I try to buy all [the goods] I can because I know that next month it will cost more to buy.”

Devon Zuegel, a U.S. software engineer and economics blogger who travels frequently to Argentina, has observed one unusual way that some people in Argentina save while experiencing hyperinflation:

“Bricks—actual bricks, not stacks of cash—are another common savings mechanism, especially for working-class Argentinians. The value of bricks is fairly stable, and they’re useful to a family building out their house. Argentina doesn’t have a mortgage industry, and thus buying a pallet of bricks each time you get a paycheck is an effective way to pay for your home in installments. (Bricks aren’t fully monetized, in that I don’t think people buy bricks and then sell them later, so people only use this method of saving when they actually have something they want to use the bricks for.)”

Sources: “Sergio Massa Is the Only Thing Standing Between Argentina and Chaos,” economist. com, October 13, 2022;  Devon Zuegel, “Inside Argentina’s Currency Exchange Black Markets,” devonzuegel.com, September 10, 2022; Silvina Frydlewsky and Juan Forero, “Inflation Got You Down? At Least You Don’t Live in Argentina,” Wall Street Journal, April 25, 2022; and Federal Reserve Bank of St. Louis, FRED data set.

Ben Bernanke, Douglas Diamond, and Philip Dybvig Win the Nobel Prize in Economics

Ben Bernanke (Photo from the Brookings Institution.)

Douglas Diamond (Photo from Reuters.)

Philip Dybvig (Photo from Washington University.)

Former Federal Reserve Chair Ben Bernanke (now a Distinguished Fellow in Residence at the Brookings Institution in Washington, DC), Douglas Diamond of the University of Chicago, and Philip Dybvig of Washington University in St. Louis shared the 2022 Nobel Prize in Economics (formally called the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel). The prize of 10 million Swedish kronor (about 8.85 million U.S. dollars) was awarded for “significantly [improving] our understanding of the role of banks in the economy, particularly during financial crises.” (The press release from the Nobel committee can be read here.)

In paper published in the American Economic Review in 1983, Bernanke provided an influential interpretation of the role the bank panics of the early 1930s played in worsening the severity of the Great Depression. As we discuss in Macroeconomics, Chapter 14, Section 14.3 (Economics, Chapter 24, Section 24.3), by taking deposits and making loans banks play an important in the money supply process. Milton Friedman and Anna Schwartz in A Monetary History of the United States, 1867-1960, Chapter 7, argued that the bank panics of the early 1930s caused a decline in real GDP and employment largely through the mechanism of reducing the money supply.

Bernanke demonstrated that the bank failures affected output and employment in another important way. As we discuss in Macroeconomics, Chapter 6, Section 6.2 and Chapter 14, Section 14.4 (Economics, Chapter 8, Section 8.2 and Chapter 24, Section 24.4) banks are financial intermediaries who engage in indirect finance. Banks accept deposits and use the funds to make loans to households and firms. Households and most firms can’t raise funds through direct finance by selling bonds or stocks to individual investors because investors don’t have enough information about households or all but the largest firms to know whether these borrowers will repay the funds. Banks get around this information problemby specializing in gathering information on households and firms that allow them to gauge how likely a borrower is to default, or stop paying, on a loan.

Because of the special role banks have in providing credit to households and firms that have difficulty borrowing elsewhere, Bernanke argued that the bank panics of the early 1930s, during which more than 5,000 banks in the United States went out of business, not only caused a reduction in the money supply but restricted the ability of households and firms to borrow. As a result, households and firms decreased their spending, which increased the severity of the Great Depression.

In a 1983 paper published in the Journal of Political Economy, Diamond and Dybvig presented what came to be known as the Diamond and Dybvig model of the economic role of banks. This model, along with later research by Diamond, provided economists with a better understanding of the potential instability of banking. Diamond and Dybvig note that banking involves transforming long-run, illiquid assets—loans—into short-run, liquid assets—deposits. Recall that liquidity is the ease with which an asset can be sold. Households and firms want the loans they receive from a bank to be illiquid in the sense that they don’t want the bank to be able to demand that the funds borrowed be repaid, except on a set schedule. Someone receiving a mortgage loan to buy a house wouldn’t want the bank to be able to insist on being paid back any time the bank chose. But households and firms also want the assets they hold to be liquid so that they can quickly convert the assets into money if they need the funds. By taking in deposits and using the funds to make loans, banks provide a service to households and firms by providing both a source of long-run credit and a source of short-term assets. 

But Diamond and Dybvig note that because banks hold long-terms assets that can’t easily be sold, if a large number of people attempt simultaneously to withdraw their deposits, the banks lack the funds to meet these withdrawals. The result is a run on a bank as depositors become aware that unless they quickly withdraw their deposits, they may not receive their funds for a considerable time. If the bank is insolvent—the value of its loans and other assets is less than the value of its deposits and other liabilities—the bank may fail and some households and firms will never receive the full value of their deposits. In the Diamond and Dybvig model, if depositors expect that other depositors will not withdraw their funds, the system can be stable because banks won’t experience runs. But because banks know more about the value of their assets and liabilities than depositors do, depositors may have trouble distinguishing solvent banks from insolvent banks. As a result of this information problem, households and firms may decide to withdraw their deposits even from solvent banks. Households and firms may withdraw their deposits from a bank even if they know with certainty that the bank is solvent if they expect that other households and firms—who may lack this knowledge—will withdraw their deposits. The result will be a bank panic, in which many banks simultaneously experience a bank run. 

With many banks closing or refusing to make new loans in order to conserve funds, households and firms that depend on bank loans will be forced to reduce their spending. As a result, production and employment will decline. Falling production and employment may cause more borrowers to stop paying on their loans, which may cause more banks to be insolvent, leading to further runs, and so on. We illustrate this process in Figure 14.3. 

Diamond and Dybvig note that a system of deposit insurance—adopted in the United States when Congress established the Federal Deposit Insurance Corporation (FDIC) in 1934—or a central bank acting as a lender of last resort to banks experiencing runs are necessary to stabilize the banking system. When Congress established the Federal Reserve System in 1914, it gave the Fed the ability to act as a lender of last resort by making discount loans to banks that were solvent but experiencing temporary liquidity problems as a result of deposit withdrawals.

During the Global Financial Crisis that began in 2007 and accelerated following the failure of the Lehman Brothers investment bank in September 2008, it became clear that the financial firms in the shadow banking system could also be subject to runs because, like commercial banks, shadow banks borrow short term to financial long term investments. Included in the shadow banking system are money market mutual funds, investment banks, and insurance companies. By 2008 the size of the shadow banking system had grown substantially relative to the commercial banking system.  The shadow banking system turned out to be more fragile than the commercial banking system because those lending to shadow banks by, for instance, buying money market mutual fund shares, do not receive government insurance like bank depositors receive from the FDIC and because prior to 2008 the Fed did not act as a lender of last resort to shadow banks.

Bernanke believes that his study of financial problems the U.S. experienced during the Great Depression helped him as Fed chair to deal with the Global Financial Crisis.  In particular, Bernanke concluded from his research that in the early 1930s the Fed had committed a major error in failing to act more vigorously as a lender of last resort to commercial banks. The result was severe problems in the U.S. financial system that substantially worsened the length and severity of the Great Depression.  During the financial crisis, under Bernanke’s leadership, the Fed established several lending facilities that allowed the Fed to extend its role as a lender of last resort to parts of the shadow banking system. (In 2020, the Fed under the leadership of Chair Jerome Powell revived and extended these lending facilities.) Bernanke is rare among economists awarded the Nobel Prize in having had the opportunity to implement lessons from his academic research in economic policymaking at the highest level. (Bernanke discusses the relationship between his research and his policymaking in his memoir. A more complete discussion of the financial crises of the 1930s, 2007-2009, and 2020 appears in Chapter 14 of our textbook Money, Banking, and the Financial System, Fourth Edition.)

We should note that Bernanke’s actions at the Fed have been subject to criticism by some economists and policymakers. As a member of the Fed’s Board of Governors beginning in 2002 and then as Fed chair beginning in 2006, Bernanke, like other members of the Fed and most economists, was slow to recognize the problems in the shadow banking system and, particularly, the problems caused by the rapid increase in housing prices and increasing number of mortgages being granted to borrowers who had either poor credit histories or who made small down payments. Some economists and policymakers also argue that Bernanke’s actions during the financial crisis took the Fed beyond the narrow role of stabilizing the commercial banking system spelled out by Congress in the Federal Reserve Act and may have undermined Fed independence. They also argue that by broadening the Fed’s role as a lender of last resort to include shadow banks, Bernanke may have increased the extent of moral hazard in the financial system.

Finally, Laurence Ball of Johns Hopkins University argues that the worst of the financial crisis could have been averted if Bernanke had acted to save the Lehman Brothers investment bank from failing by making loans to Lehman. Bernanke has argued that the Fed couldn’t legally make loans to Lehman because the firm was insolvent but Ball argues that, in fact, the firm was solvent. Decades later, economists continue to debate whether the Fed’s actions in allowing the Bank of United States to fail in 1930 were appropriate and the debate over the Fed’s actions with respect to Lehman may well last as long. (A working paper version of Ball’s argument can be found here. He later extended his argument in a book. Bernanke’s account of his actions during the failure of Lehman Brothers can be found in his memoir cited earlier.)

Sources: Paul Hannon, “Nobel Prize in Economics Winners Include Former Fed Chair Ben Bernanke,” Wall Street Journal, October 10, 2022; David Keyton, Frank Jordans, and Paul Wiseman, “Former Fed Chair Bernanke Shares Nobel for Research on Banks,” apnews.com, October 10, 2022; and Greg Ip, “Most Nobel Laureates Develop Theories; Ben Bernanke Put His Into Practice,” Wall Street Journal, October 10, 2022. 

A Handy Way to Track Recession Indicators

The Bureau of Labor Statistics is housed in the U.S. Department of Labor. (Photo from don.gov site.)

In a blog post at the end of August, we noted that real GDP declined during the first two quarters of 2022. On September 29, the Bureau of Economic Analysis (BEA) slightly revised the real GDP data, but after the revisions the BEA’s estimates still showed real GDP declining during those quarters.

A popular definition of a recession is two consecutive quarters of declining real GDP. But, as we noted in the earlier blog post, most economists do not follow this definition. Instead, for most purposes, economists rely on the National Bureau of Economic Research’s business cycle dating, which is based on a number of macroeconomic data series. The NBER defines a recession as “a significant decline in activity spread across the economy, lasting more than a few months, visible in industrial production, employment, real income, and wholesale-retail trade.” The NBER discusses its approach to business cycle dating here.

The Federal Reserve Bank of St. Louis’s invaluable FRED economic data site has collected the data series that the NBER’s Business Cycle Dating Committee relies on when deciding when a recession began. The FRED page collecting these data can be found here. 

Note that although the Business Cycle Dating Committee analyzes a variety of data series, “In recent decades, the two measures we have put the most weight on are real personal income less transfers and nonfarm payroll employment.” The following figures show movements in those two data series. These data series don’t give a strong indication that the economy was in recession during the first half of 2022. Real personal income minus transfer payments did decline by 0.4 percent between January and June 2022 (before increasing during July and August), but nonfarm payroll employment increased by 1.4 percent during the same period (and increased further in July and August).

As we noted in our earlier blog post, the message from most data series other than real GDP seems to be that the U.S. economy was not in a recession during the first half of 2022.