Source Code: Q:MA:R:628 Coverage includes all types of existing dwellings in the whole country. The series is deflated using CPI. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.
OECD Data Filters: REF_AREA: CAN MEASURE: IRSTCI UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: CRI MEASURE: IRLT UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: USA MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: Y SEX: F AGE: Y25T54 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: USA MEASURE: UNE_LF UNIT_MEASURE: PT_LF_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: FRA MEASURE: CPI UNIT_MEASURE: PA METHODOLOGY: N EXPENDITURE: _TXCP01_NRG ADJUSTMENT: N TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: JPN MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: N SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.
The AD&Co US Mortgage High Yield Index (USMHY) tracks the total return of the bonds issued within the CRT programs of Fannie Mae and Freddie Mac. USMHY is an informational, investment-oriented monthly index of the return components: price, coupon, paydown, and credit loss. Accompanied by standard risk metrics from our models, the index is useful for comparisons with individual CRT bonds or relative value to other credit markets. Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.
Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.
The median listing price per square foot in a given market during the specified month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).
OECD Data Filters: REF_AREA: DEU MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: ESP MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: N SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
What is the Survey of Economic Conditions? Contacts located in the Seventh Federal Reserve District are asked to rate various aspects of economic conditions along a seven-point scale ranging from "large increase" to "large decrease." A series of diffusion indexes summarizing the distribution of responses is then calculated. How are the indexes constructed? Respondents' answers on the seven-point scale are assigned a numeric value ranging from +3 to –3. Each diffusion index is calculated as the difference between the number of respondents with answers above their respective average responses and the number of respondents with answers below their respective average responses, divided by the total number of respondents. The index is then multiplied by 100 so that it ranges from +100 to −100 and will be +100 if every respondent provides an above-average answer and –100 if every respondent provides a below-average answer. Respondents with no prior history of responses are excluded from the calculation. What do the numbers mean? Respondents' respective average answers to a question can be interpreted as representing their historical trends, or long-run averages. Thus, zero index values indicate, on balance, average growth (or a neutral outlook) for activity, hiring, capital spending, and cost pressures. Positive index values indicate above-average growth (or an optimistic outlook) on balance, and negative values indicate below-average growth (or a pessimistic outlook) on balance. Beginning with the May 12, 2020 release, the CFSEC moved to a monthly release schedule. This release, with data for April 2020, now contains estimated monthly historical values for the CFSEC indexes, as will all future releases. For additional information on how the survey and indexes changed, see the CFSEC FAQs available here (https://www.chicagofed.org/research/data/cfsec/current-data). Prior to April 2022, the Chicago Fed Survey of Economic Conditions was named the Chicago Fed Survey of Business Conditions (CFSBC). The name change was made to better represent the survey’s aim and base of respondents. The goal of the survey is to assess the state of the economy in the Seventh Federal Reserve District. Moreover, since the beginning of the survey, it was been filled out by both business and nonbusiness contacts.
OECD Data Filters: REF_AREA: JPN COUNTERPART_AREA: W UNIT_MEASURE: USD_EXC TRADE_FLOW: M PRODUCT_TYPE: C ADJUSTMENT: Y TRANSFORMATION: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: RUS COUNTERPART_AREA: W UNIT_MEASURE: USD_EXC TRADE_FLOW: M PRODUCT_TYPE: C ADJUSTMENT: Y TRANSFORMATION: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: GRC MEASURE: IR3TIB UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: DNK MEASURE: IR3TIB UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: POL MEASURE: CC UNIT_MEASURE: XDC_USD ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
Real effective exchange rates are calculated as weighted averages of bilateral exchange rates adjusted by relative consumer prices. Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.
OECD Data Filters: REF_AREA: USA MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: USA MEASURE: EMP_WAP UNIT_MEASURE: PT_WAP_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: ITA MEASURE: EMP_WAP UNIT_MEASURE: PT_WAP_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: EA19 MEASURE: SHARE UNIT_MEASURE: IX ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: IDN MEASURE: CCRE UNIT_MEASURE: IX ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: A All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: USA MEASURE: UNE_LF UNIT_MEASURE: PT_LF_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T24 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
The Zillow Home Value Index or ZHVI is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. Home types captured in ZHVI include single-family residences, condos, and co-ops. A single-family home is a standalone, detached house used as a single dwelling unit, meaning a residence for one family, person or household. It has its own private entrance and direct street access, and is built on its own land, usually with additional yard space. An owner-occupied apartment is generally referred to as a condominium or condo. The public common areas are jointly-owned and usually managed by a homeowners association (HOA). A cooperative, or co-op, is a type of housing that is actually a corporation. A co-op resembles a condominium but the unit owners do not own their unit outright. Each resident owns a share in a corporation that entitles them to live in one of the units under a lease agreement. For more information on types of houses, check out Zillow's types of houses article (https://www.zillow.com/resources/stay-informed/types-of-houses/). For information about ZHVI, check out their user guide (https://www.zillow.com/research/zhvi-user-guide/). For more information about methodology check out this overview of ZHVI (https://www.zillow.com/research/zhvi-methodology-2019-highlights-26221/) and a deep-dive into its methodology (https://www.zillow.com/research/zhvi-methodology-2019-deep-26226/).
OECD Data Filters: REF_AREA: NOR MEASURE: CPI UNIT_MEASURE: PD METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: GOY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: JPN COUNTERPART_AREA: W UNIT_MEASURE: XDC TRADE_FLOW: TB PRODUCT_TYPE: C ADJUSTMENT: Y TRANSFORMATION: N FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: FRA MEASURE: IRLT UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: A All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
This series has been discontinued and will no longer be updated. The institutional money market funds component (IMFSL (https://fred.stlouisfed.org/series/IMFSL)) used to calculate this series has been discontinued by the Board of Governors and is no longer available in the H.6 statistical release, Money Stock Measures. For further information about the changes to the H.6 statistical release, please see the announcements (https://www.federalreserve.gov/feeds/h6.html) provided by the source. M2 less small-denomination time deposits plus institutional money market funds. Money Zero Maturity is calculated by the Federal Reserve Bank of St. Louis.
A zero value for the index indicates that the national economy is expanding at its historical trend rate of growth; negative values indicate below-average growth; and positive values indicate above-average growth. For further information, please visit the Federal Reserve Bank of Chicago's web site: http://www.chicagofed.org/webpages/research/data/cfnai/current_data.cfm
OECD Data Filters: REF_AREA: JPN MEASURE: PRVM UNIT_MEASURE: GR ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: DEU MEASURE: CC UNIT_MEASURE: XDC_USD ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
The Harmonized Index of Consumer Prices category "Gas (04.5.2)" is a classification of nondurable goods and energy that includes town gas and natural gas, liquefied hydrocarbons (butane, propane, etc.), associated expenditure such as hire of meters, reading of meters, storage containers, standing charges, etc. This category is a subcategory of the Housing, Water, Electricity, Gas, and Other Fuels (04) and of Electricity, Gas, and Other Fuels (04.5) categories. Information provided in the notes pertaining to HICP classifications can be found from the source at: http://ec.europa.eu/eurostat/cache/metadata/en/prc_hicp_esms.htm. Copyright, European Union, 1995-2016, http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright.
Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPTRA188N. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.
Observations for the current and future years are projections. The IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis. For more information, please see the Regional Economic Outlook (https://www.imf.org/en/publications/reo) publications. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http://www.imf.org/external/terms.htm).
For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Tampa, Florida 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' user of Home Price Index for Tampa, Florida. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.
Yield to maturity on accrued principal. Treasury Inflation-Protected Securities, or TIPS, are securities whose principal is tied to the Consumer Price Index (CPI). The principal increases with inflation and decreases with deflation. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater. Copyright, 2016, Haver Analytics. Reprinted with permission.
The January 2023 report presents the scheduled annual revision of the ADP National Employment Report (NER), which updates the data series to be consistent with the annual Quarterly Census of Employment and Wages (QCEW) benchmark data through March 2022. This is a recurring process that happens every year, and is a common practice for reports of this nature. In addition to this regular, annual update, the NER weighting methodology was revised to facilitate an easier comparison of total employment estimates between the NER and QCEW; monthly aggregates now leverage weekly seasonal adjustments rather than a separate monthly seasonal adjustment; and the national aggregate is now constructed from industry aggregates. There was also a refinement in the labeling methodology which is used to determine how various employment sources fall into a particular industry and geography definitions. These changes were applied retroactively to the 13-year history of the NER.
This data represents the Option-Adjusted Spread (OAS) for the ICE BofA Euro Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in Euros. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https://fred.stlouisfed.org/series/BAMLEMCBPITRIV?cid=32413). The ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments. Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES. Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices. The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data. Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages. The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions. You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data. ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith. You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose. Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason. ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use. The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.
This data represents the effective yield of the ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https://fred.stlouisfed.org/series/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments. Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES. Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices. The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data. Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages. The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions. You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data. ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith. You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose. Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason. ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use. The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.
Data Is Listed As "Summe Der Neuen Konkurse." Data For 1895 Were Computed By Adding "Eroffnung Der Konkursverfahrungs" And All Items Under "Wegen Nichtvorhandenseins" (See Source, 1896, I, P. 156). Only First Quarter Data Are Available For 1911 (See Source Footnote, 1913, Ii, P. 208). For 1913 Data See Source, 1913, Iii, P. 10. Beginning In The Fourth Quarter Of 1918 Alsaice-Lorraine Is Excluded; Beginning In The Fourth Quarter Of 1921 The Saar Is Also Excluded. Source: Statistisches Reichsamt, Vierteljahrshefte Zur Statistik; Monthly Figures For 1925-1932 Also From Konjunkturstatistisches Jahrbuch, 1933, P. 170. This NBER data series q09043 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. NBER Indicator: q09043
Source: NBER Series 07023, Total Exports; NBER Series 07028, Total Imports This NBER data series m07047 appears on the NBER website in Chapter 7 at http://www.nber.org/databases/macrohistory/contents/chapter07.html. NBER Indicator: m07047
M2 comprises M1 plus (1) savings deposits (including money market deposit accounts); (2) small-denomination time deposits (time deposits in amounts of less than $100,000), less IRA and Keogh balances at other depository corporations; and (3) balances in retail money market mutual funds, less IRA and Keogh balances at money market mutual funds. Seasonally adjusted M2 is constructed by summing savings deposits, small-denomination time deposits, and retail money funds, each seasonally adjusted separately, and adding this result to seasonally adjusted M1. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.
Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.
OECD Descriptor ID: NAEXCP03 OECD unit ID: EUR OECD country ID: GRC All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
Data Are Smoothed By Macaulay'S Forty-Three Term Graduation (See Measuring Business Cycles By Burns And Mitchell, Chapter Eight). Source: F.R. Macaulay, The Movements Of Interest Rates, Bond Yields, And Stock Prices, NBER No. 33, 1938, Table 21, Col. 2. This NBER data series m13001a appears on the NBER website in Chapter 13 at http://www.nber.org/databases/macrohistory/contents/chapter13.html. NBER Indicator: m13001a
From January 1900-December 1928, These Indexes Are Based Upon The Mean Of The Monthly High-Low Price Of Forty-Five High Grade Corporate Bonds. From January 1929-March 1937 The Indexes Have Been Based Upon A Varying Group Of Aaa Bonds, One Price Monthly (First Of Month) Being Used. Beginning April 1937 To Date The Average Is Of The Four Or Five Weekly Aaa Indexes. The Lack Of Data For August-November 1914 Is Due To The Stock Exchange Being Closed. Source: Standard And Poor'S, Data For 1900-1942: Security Price Index Record. Data For 1943-1972: Current Statistics Combined With Basic Statistics; Also Trade And Securities. This NBER data series m13026 appears on the NBER website in Chapter 13 at http://www.nber.org/databases/macrohistory/contents/chapter13.html. NBER Indicator: m13026
Break-adjusted measure intended for users who need a series without classification or geographical breaks for use in appropriate econometric work where, for example, the series will be log-differenced or log-linearised around a trend. This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Provided that the underlying sources of the data are acknowledged and cited appropriately users are permitted to reproduce this series in their own work as it is based on Bank calculations and manipulations of underlying series that are the copyright of the Bank of England. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources.
Data For August-November 1914 Was Straight Line Interpolated Since The Exchange Was Closed. Source: Standard And Poor'S, Trade And Securities Statistics: Security Price Index Record, 1964; Current Statistics, March 1964. This NBER data series m13048 appears on the NBER website in Chapter 13 at http://www.nber.org/databases/macrohistory/contents/chapter13.html. NBER Indicator: m13048
OECD descriptor ID: BPBLTD01 OECD unit ID: CXCUSA OECD country ID: CHN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.
This Series Was Calculated By NBER By Adding The Number Of Beehive And Byproduct Coke Ovens. Source: NBER This NBER data series a01163a appears on the NBER website in Chapter 1 at http://www.nber.org/databases/macrohistory/contents/chapter01.html. NBER Indicator: a01163a
For 1892-1912, Figures Are Monthly Averages Of Daily Price Or Price Every Five Days. From 1913-1934, Prices Are From The End Of The Month. Figures For January-April, 1895 Are Prices For The Last Week Of The Month. The Quality Is Not Stated. Figure For December, 1916, Is Interpolated. No Data Were Available. 1916 Prices Are For Native Wheat. 1917 Prices Are At The Official Rate For Native Wheat There Were No Data For March-August, 1924. Source: For The Years 1892-1912, La Reforme Economique; For 1913-1933, Annuaire Statistique; For 1934, Bulletin De Statistique Generale De La France. This NBER data series m04004 appears on the NBER website in Chapter 4 at http://www.nber.org/databases/macrohistory/contents/chapter04.html. NBER Indicator: m04004
Figures For 1860-1870 Are For No. 2 Mixed Corn, Weekly And Semi-Monthly Averages; Figures For 1871-1873 Include No. 2 Contract Corn, Average Of Semi-Monthly High And Low Quotations; Figures For 1874-1940 Include No. 2 Contract Corn, Average Of Monthly High And Low Quotations. Figures For September-December, 1943, Are Derived From A Straight Line Interpolation Between August, 1943 And January, 1944. The Figure For June, 1946 Was Derived From A Straight Line Interpolation Between May And July, 1946. Figures For January-April And June-October, 1944, January- February And November, 1945, And January-April, 1946, Were Interpolated By Use Of Ratio To Trend Line Deviations Method. The Interpolating Figures Were Taken From The Series "Corn No. 2, Yellow, Chicago, Weighted" Source: H.A. Wallace And E.N. Bressman, Corn And Corn Growing, Pp.341- 343, 3Rd Edition, 1928, For 1860-1870 Data; Chicago Board Of Trade, Annual Report. United States Department Of Agriculture, Bureau Of Agricultural Economics, "Feed Statistics." This NBER data series m04005 appears on the NBER website in Chapter 4 at http://www.nber.org/databases/macrohistory/contents/chapter04.html. NBER Indicator: m04005
Series Has Been Subdivided Into Three Variables: (1)-- Original Data, 1890-1942; (2)-- Original Data, 1941-1951; (3)-- Original Data, 1947-1954. Data Refers To Carded, White, Mule-Spun, Northern, 10-1 Cones Of Cotton. 1890-1917 Quotations Are The Price Per Round At The First Of Each Month; 1918-1942 Quotations Are Monthly Averages. Source: Bls, "Wholesale Price Bulletin", No. 39, Pp. 352-353 And Following Issues This NBER data series m04100a appears on the NBER website in Chapter 4 at http://www.nber.org/databases/macrohistory/contents/chapter04.html. NBER Indicator: m04100a