Federal Reserve Economic Data

The FRED® Blog

The depth and breadth of the federal debt

Who holds the federal debt? The pie chart above shows the shares for the last available period:

  • 27.1% is held by the U.S. government, its agencies, and its trusts—such as the social security trust.
  • 42.1% is held by private individuals and entities in the U.S., which includes 14.2% held by the Federal Reserve. (This 69.2% held domestically is technically debt between Americans.)
  • 30.9% is held outside the U.S.

How have these shares evolved over time? The graph below answers this question after removing the inter-agency debt. The Fed’s share of federal debt hasn’t changed much over time. But foreign ownership of debt has: It ramped up in the 1990s and 2000s and has been declining slightly over the past decade.

The last graph shows how these shares translate to a proportion of GDP: The value of debt owed abroad is about a third of annual GDP. The value of debt owed to domestic households and businesses is about a quarter of GDP. For recent years, the lines don’t stack above 100% of GDP, as is often mentioned when talking about the federal debt. The value of debt rises above 100% of GDP only if you include inter-agency debt. And if you also exclude debt held by the Federal Reserve, U.S. federal debt currently amounts to 62% of GDP.

How these graphs were created: For the first graph: Choose the series “Federal Debt Held by Federal Reserve Banks” and “Federal Debt Held by Foreign & International Investors.” Now, to create the series that shows only private domestic holders of federal debt, select “Federal Debt Held by Private Investors” and then use “Add Line” / “Customize data” to include “Federal Debt Held by Foreign & International Investors.” Apply the data transformation a-b. Finally, add a new line after searching for “Federal Debt held by Agencies and Trusts” and divide it by 1000 because it is in different units. Then select graph type “Pie,” which will default to the last observation. For the second graph, go back to the “Edit Graph” format tab and change the graph type to “Area” and stacking to “Percent.” Remove the last series, as it has a shorter sample and makes the percentages jump. Expand the sample period to maximum. For the last graph, use the second graph, but change the stacking to “Normal” and add to each line nominal GDP (make sure not to take real GDP): Divide each line by that series and multiply it by 100 to express it in percentages.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: FDHBATN, FDHBFIN, FDHBFRBN, FDHBPIN, GDP

Demystifying the trade balance

Why a trade balance deficit isn't necessarily a sign of a poor economy

The trade balance is the amount of exports minus imports. While the number generally reported in the media pertains to goods (that is, physical gizmos that are counted as they cross the border), there’s also trade in services such as software, consulting, and tourism. The graph above shows the trade deficit in red (a negative number) for the United States. The current account—that is, the change in asset holdings of the U.S. with the rest of the world—is shown in blue. Indeed, the current account comprises the trade deficit (if we import more, we owe more) plus transfers of income across boundaries. The latter can be important for some developing countries that have a lot of foreign workers sending remittances back to their families. For more-developed economies, dividend and interest incomes are more important.

In the system of National Income and Product Accounts (NIPA, a nation’s economic accounting), a trade deficit automatically implies that the country is saving less than it’s investing. Another way to understand this is that the rest of the world is investing in that country, thereby contributing to its production capacity. This accounting pertains to the capital account, which is always the counterpart to the current account: Current account plus capital account always equals zero, which is quite apparent in the graph below.

Is it bad to have a trade account deficit? If this means that your economy is booming and local production cannot keep up with demand, then no. If it implies that there is a current account deficit and, hence, foreigners are investing in your country, then also no. If this means that you can have more investment without having to save more, because the rest of the world is picking up the slack, no again. If you are worried that in the future dividends will flow abroad, then yes. But that will happen only if your economy is in good shape in the first place and will be able to afford paying such dividends.

How these graphs were created: For both graphs, look for and the first series to the graph; use the “Edit Graph” tab to add the second line; then apply a formula to adjust the units so that both lines match. Note that the trade balance needs to be multiplied by 12, as it’s expressed in monthly numbers.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: BOPGSTB, NETFI, RWLBCAQ027S

Let’s do the Twist

Did the FOMC succeed in lowering long-term rates?

In September 2011, the Federal Reserve’s Open Market Committee (FOMC) announced a “Maturity Extension Program” involving the purchase of $400 billion of longer-term U.S. Treasury securities and liquidation of an equivalent amount of shorter-term securities over a 9-month period. In June 2012, the FOMC extended the program through the end of 2012, a period when the Committee purchased an additional $267 million of longer-term securities and liquidated a similar amount of short-term securities. The purpose of the program was to put downward pressure on longer-term interest rates without increasing the total size of the Fed’s securities portfolio. The program was popularly referred to as “Operation Twist,” reflecting the Committee’s intention to lower long-term interest rates relative to short-term rates and thus twist the yield curve.

The graph illustrates the program’s impact on the maturity composition of the Fed’s portfolio of U.S. Treasury securities. At its inception in September 2011, the portfolio consisted of approximately equal shares of Treasury securities with maturities of 5 years or less and securities with maturities of more than 5 years. When the program ended in December 2012, the shares of short-term and long-term securities in the Fed’s portfolio were about 22 percent and 78 percent, respectively. The Fed began to reverse the Maturity Extension Program in 2013 mainly by buying shorter-term securities as longer-term securities matured. By mid-2015, the Fed held roughly equal amounts of Treasury securities maturing in 5 years or less and longer-term securities. Since then, the Fed has continued to adjust its portfolio toward shorter-term securities, while maintaining a constant total portfolio size.

Did the Maturity Extension Program succeed in twisting the yield curve? As the graph shows, the spread between the yields on 10-year and 3-month Treasury securities fell some 75 basis points during the months when the program was in effect and then rose after the program had concluded. Longer-term yields had also declined by about 75 basis points during the 2 months before the program began, however, perhaps because market participants anticipated the program before it was formally announced. Of course, without formal analysis, it is impossible to say whether the program caused the yield curve to twist, but the behavior of the curve was consistent with the program’s intent.

How this graph was created: Search for “U.S. Treasury securities held by the Federal Reserve” and “All Maturities” should be near the top. From “Edit Graph,” add the matching series for “Maturing within 15 days,” “Maturing in 16 to 90 days,” “Maturing in 91 days to 1 year,” and “Maturing in over 1 year to 5 years” to Line 1. Apply the formula (b+c+d+e)/a. From “Edit Graph,” use the add line feature to search for the “All Maturities” series again and create Line 2. Add to that the matching series for “Maturing in over 5 years to 10 years” and “Maturing in over 10 years.” Apply the formula (b+c)/a. From “Edit Graph,” use the add line feature to add “10-Year Constant Maturity Minus 3-Month Treasury Constant Maturity” as Line 3. Modify the frequency to “Weekly, Ending Wednesday.” Under the “Format” tab, select “Right” for the “Y-Axis position” for Line 3. Finally, click on “10Y” next to the date selection pane to show the last 10 years of data.

Suggested by David Wheelock.

View on FRED, series used in this post: T10Y3M, TREAS10Y, TREAS15, TREAS1590, TREAS1T5, TREAS5T10, TREAS911Y, TREAST


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