Federal Funds Target Range - Upper Limit
| | 2024-05-04 / Daily, 7-Day / Percent |
 | | This series represents upper limit of the federal funds target range established by the Federal Open Market Committee. The data updated each day is the data effective as of that day. |
Federal Funds Target Range - Lower Limit
| | 2024-05-04 / Daily, 7-Day / Percent |
 | | This series represents lower limit of the federal funds target range established by the Federal Open Market Committee. The data updated each day is the data effective as of that day. |
S&P 500
| | 2024-05-03 / Daily, Close / Index |
 | | The observations for the S&P 500 represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early.
The Federal Reserve Bank of St. Louis and S&P Dow Jones Indices LLC have reached a new agreement on the use of Standard & Poors and Dow Jones Averages series in FRED. FRED and its associated services will include 10 years of daily history for Standard & Poors and Dow Jones Averages series.
The S&P 500 is regarded as a gauge of the large cap U.S. equities market. The index includes 500 leading companies in leading industries of the U.S. economy, which are publicly held on either the NYSE or NASDAQ, and covers 75% of U.S. equities. Since this is a price index and not a total return index, the S&P 500 index here does not contain dividends.
Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of S&P 500 in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC ("S&P"). S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' use of S&P 500.
Permission to reproduce S&P 500 can be requested from [email protected]. More contact details are available here (http://us.spindices.com/contact-us), including phone numbers for all regional offices. |
Coinbase Bitcoin Cash
| | 2024-05-03 / Daily, 7-Day / U.S. Dollars |
 | | All data is as of 5 PM PST.
Copyright, 2018, Coinbase.
Reproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase. |
Coinbase Bitcoin
| | 2024-05-03 / Daily, 7-Day / U.S. Dollars |
 | | All data is as of 5 PM PST.
Copyright, 2018, Coinbase.
Reproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase. |
Coinbase Ethereum
| | 2024-05-03 / Daily, 7-Day / U.S. Dollars |
 | | All data is as of 5 PM PST.
Copyright, 2018, Coinbase.
Reproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase. |
Coinbase Litecoin
| | 2024-05-03 / Daily, 7-Day / U.S. Dollars |
 | | All data is as of 5 PM PST.
Copyright, 2018, Coinbase.
Reproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase. |
Dow Jones Composite Average
| | 2024-05-03 / Daily, Close / Index |
 | | The observations for the Dow Jones Composite Average represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early.
The Dow Jones Composite Average is combination of all three major Dow Jones Averages (Industrial, Utility, and Transportation). Since the Composite Average is made up of this select group of prominent stocks, Dow Jones refers to it as a blue chip microcosm of the US stock market. For more information, please visit Dow Jones Composite Average (https://www.spglobal.com/spdji/en/indices/equity/dow-jones-composite-average/#overview).
Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Dow Jones Composite Average in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC (S&P). S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' use of Dow Jones Composite Average.
Permission to reproduce this series can be requested from [email protected]. More contact details are available here (http://us.spindices.com/contact-us), including phone numbers for all regional offices. |
Dow Jones Industrial Average
| | 2024-05-03 / Daily, Close / Index |
 | | The observations for the Dow Jones Industrial Average represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early.
The Dow Jones Industrial Average provides a view of the US stock market and economy. Originally, the index was made up of 12 stocks, it now contains 30 component companies in various industries. See indexology (http://us.spindices.com/indexology/djia-and-sp-500?homepage=true) for more information.
Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Dow Jones Industrial Average in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC ("S&P"). S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' use of Dow Jones Industrial Average.
Permission to reproduce this series can be requested from [email protected]. More contact details are available here (http://us.spindices.com/contact-us), including phone numbers for all regional offices. |
Dow Jones Transportation Average
| | 2024-05-03 / Daily, Close / Index |
 | | The observations for the Dow Jones Transportation Average represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early.
Originally made up of only railroad stocks, the Dow Jones Transportation Average now provides a view of the 20 transportation companies in US stock market. For more information, please visit Dow Jones Transportation Average (http://us.spindices.com/indices/equity/dow-jones-transportation-average).
Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Dow Jones Transportation Average in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC (S&P). S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' use of Dow Jones Transportation Average.
Permission to reproduce this series can be requested from [email protected]. More contact details are available here (http://us.spindices.com/contact-us), including phone numbers for all regional offices. |
Dow Jones Utility Average
| | 2024-05-03 / Daily, Close / Index |
 | | The observations for the Dow Jones Utility Average represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early.
Originally made up of 18 utility stocks, the Dow Jones Transportation Average provides a view of the 15 different utility companies in US stock market. For more information, please visit Dow Jones Utility Average (http://us.spindices.com/indices/equity/dow-jones-utility-average).
Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Dow Jones Utility Average in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC (S&P). S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' use of Dow Jones Utility Average.
Permission to reproduce this series can be requested from [email protected]. More contact details are available here (http://us.spindices.com/contact-us), including phone numbers for all regional offices. |
NBER based Recession Indicators for the United States from the Period following the Peak through the Trough
| | 2024-05-02 / Daily, 7-Day / +1 or 0 |
 | | This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http://www.nber.org/cycles/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.
The recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.
The first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at:
https://fred.stlouisfed.org/series/USRECDM
The second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. The midpoint method is used for this series.
The third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:
https://fred.stlouisfed.org/series/USRECDP |
NBER based Recession Indicators for the United States from the Peak through the Trough
| | 2024-05-02 / Daily, 7-Day / +1 or 0 |
 | | This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http://www.nber.org/cycles/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.
The recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.
The first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. The midpoint method is used for this series.
The second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:
https://fred.stlouisfed.org/series/USRECD
The third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:
https://fred.stlouisfed.org/series/USRECDP |
NBER based Recession Indicators for the United States from the Peak through the Period preceding the Trough
| | 2024-05-02 / Daily, 7-Day / +1 or 0 |
 | | This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http://www.nber.org/cycles/cyclesmain.html. Our time series is composed of dummy variables that represent periods of expansion and recession. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins the first day of the period of the peak and ends on the last day of the period before the trough. For more options on recession shading, see the notes and links below.
The recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.
The first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at:
https://fred.stlouisfed.org/series/USRECDM
The second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:
https://fred.stlouisfed.org/series/USRECD
The third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. The peak method is used for this series. |
Moody's Seasoned Aaa Corporate Bond Yield Relative to Yield on 10-Year Treasury Constant Maturity
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between Moody's Seasoned Aaa Corporate Bond© (https://fred.stlouisfed.org/series/DAAA) and 10-Year Treasury Constant Maturity (BC_10YEARM).
©2017, Moody's Corporation, Moody's Investors Service, Inc., Moody's Analytics, Inc. and/or their licensors and affiliates (collectively, "Moody's"). All rights reserved. Moody's ratings and other information ("Moody's Information") are proprietary to Moody's and/or its licensors and are protected by copyright and other intellectual property laws. Moody's Information is licensed to Client by Moody's. MOODY'S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY'S PRIOR WRITTEN CONSENT.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
Moody's Seasoned Aaa Corporate Bond Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between Moody's Seasoned Aaa Corporate Bond© (https://fred.stlouisfed.org/series/DAAA) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/DFF).
©2017, Moody's Corporation, Moody's Investors Service, Inc., Moody's Analytics, Inc. and/or their licensors and affiliates (collectively, "Moody's"). All rights reserved. Moody's ratings and other information ("Moody's Information") are proprietary to Moody's and/or its licensors and are protected by copyright and other intellectual property laws. Moody's Information is licensed to Client by Moody's. MOODY'S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY'S PRIOR WRITTEN CONSENT.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
Moody's Seasoned Baa Corporate Bond Yield Relative to Yield on 10-Year Treasury Constant Maturity
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between Moody's Seasoned Baa Corporate Bond© (https://fred.stlouisfed.org/series/DBAA) and 10-Year Treasury Constant Maturity (BC_10YEAR).
©2017, Moody's Corporation, Moody's Investors Service, Inc., Moody's Analytics, Inc. and/or their licensors and affiliates (collectively, "Moody's"). All rights reserved. Moody's ratings and other information ("Moody's Information") are proprietary to Moody's and/or its licensors and are protected by copyright and other intellectual property laws. Moody's Information is licensed to Client by Moody's. MOODY'S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY'S PRIOR WRITTEN CONSENT.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
Moody's Seasoned Baa Corporate Bond Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between Moody's Seasoned Baa Corporate Bond© (https://fred.stlouisfed.org/series/DBAA) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR).
©2017, Moody's Corporation, Moody's Investors Service, Inc., Moody's Analytics, Inc. and/or their licensors and affiliates (collectively, "Moody's"). All rights reserved. Moody's ratings and other information ("Moody's Information") are proprietary to Moody's and/or its licensors and are protected by copyright and other intellectual property laws. Moody's Information is licensed to Client by Moody's. MOODY'S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY'S PRIOR WRITTEN CONSENT.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
3-Month Commercial Paper Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between 3-Month AA Financial Commercial Paper (RIFSPPFAAD90NB) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/DFF).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity
| | 2024-05-03 / Daily / Percent |
 | | Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).
Series is calculated as the spread between 10-Year Treasury Constant Maturity (BC_10YEAR) and 2-Year Treasury Constant Maturity (BC_2YEAR). Both underlying series are published at the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
10-Year Treasury Constant Maturity Minus 3-Month Treasury Constant Maturity
| | 2024-05-03 / Daily / Percent |
 | | Series is calculated as the spread between 10-Year Treasury Constant Maturity (BC_10YEAR) and 3-Month Treasury Constant Maturity (BC_3MONTH).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
10-Year Treasury Constant Maturity Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between 10-Year Treasury Constant Maturity (BC_10YEAR) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
10-Year Breakeven Inflation Rate
| | 2024-05-03 / Daily / Percent |
 | | The breakeven inflation rate represents a measure of expected inflation derived from 10-Year Treasury Constant Maturity Securities (BC_10YEAR) and 10-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_10YEAR). The latest value implies what market participants expect inflation to be in the next 10 years, on average.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
1-Year Treasury Constant Maturity Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between 1-Year Treasury Constant Maturity (BC_1YEAR) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/DFF).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
3-Month Treasury Constant Maturity Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between 3-Month Treasury Constant Maturity (BC_3MONTH) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
5-Year Treasury Constant Maturity Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between 5-Year Treasury Constant Maturity (BC_5YEAR) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
5-Year Breakeven Inflation Rate
| | 2024-05-03 / Daily / Percent |
 | | The breakeven inflation rate represents a measure of expected inflation derived from 5-Year Treasury Constant Maturity Securities (BC_5YEAR) and 5-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_5YEAR). The latest value implies what market participants expect inflation to be in the next 5 years, on average.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
5-Year, 5-Year Forward Inflation Expectation Rate
| | 2024-05-03 / Daily / Percent |
 | | This series is a measure of expected inflation (on average) over the five-year period that begins five years from today.
This series is constructed as:
(((((1+((BC_10YEAR-TC_10YEAR)/100))^10)/((1+((BC_5YEAR-TC_5YEAR)/100))^5))^0.2)-1)*100
where BC10_YEAR, TC_10YEAR, BC_5YEAR, and TC_5YEAR are the 10 year and 5 year nominal and inflation adjusted Treasury securities.
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
6-Month Treasury Constant Maturity Minus Federal Funds Rate
| | 2024-05-02 / Daily / Percent |
 | | Series is calculated as the spread between 6-Month Treasury Constant Maturity (BC_6MONTH) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR).
Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). |
Other Securities, Foreign-Related Institutions
| | 2024-03-01 / Monthly / Billions of U.S. Dollars |
 | | For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/. |
Bank Credit, Foreign-Related Institutions
| | 2024-03-01 / Monthly / Billions of U.S. Dollars |
 | | For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/. |
