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We use a factor model and elastic net shrinkage to model a high-dimensional network of European credit default swap (CDS) spreads. Our empirical approach allows us to assess the joint transmission of bank and sovereign risk to the nonfinancial corporate sector. Our findings identify a sectoral clustering in the CDS network, where financial institutions are in the center and nonfinancial entities as well as sovereigns are grouped around the financial center. The network has a geographical component reflected in different patterns of real-sector risk transmission across countries. Our framework also provides dynamic estimates of risk transmission, a useful tool for systemic risk monitoring.
Credit & Risk Solution: Provides timely information to help identify weakening credit and fortify the analyst surveillance process for both rated and unrated entities.
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We investigate the effectiveness of the Bank Recovery and Resolution Directive (BRRD) in mitigating the transmission of credit risk from banks to their sovereign, using CDS spreads to capture bank and sovereign credit risk for a sample of 43 banks in 8 Euro Area countries over the period 2009–2020. If the BRRD bail-in framework is credible, changes in bank default risk should not be transmitted to sovereign risk. In a novel approach we use banks earnings announcements to identify exogenous shocks to bank credit risk and investigate to what extent bank risk is transmitted to sovereign risk before and during the BRRD era. We find that bank-to-sovereign risk transmission has diminished after the introduction of the BRRD, suggesting that financial markets judge the BRRD framework as credible. The decline in bank-sovereign risk transmission is particularly significant in the periphery Euro Area countries, especially Italy and Spain, where the bank-sovereign nexus was most pronounced during the sovereign debt crisis. We report that the lower bank-to-sovereign credit risk transmission is associated with the parliamentary approval of the BRRD and not with the OMT program launched by the ECB to affect sovereign yield spreads, nor with specific bail-in or bailout cases which occurred during the BRRD era. Finally, we document that the reduction in risk transmission is most pronounced for banks classified as a Global Systemically Important Bank (G-SIB), stressing the importance of additional capital buffers imposed by Basel III.
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Standard errors in parentheses are clustered at the bank level. *** represents significance at the 1% percent level.
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Standard errors in parentheses are clustered at the bank level. *** represents significance at the 1% percent level.
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Concept: Difference (spread) between average interest rate on new credit operations in the reference period in the National Financial System and corresponding average cost of funds. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 20783-average-spread-of-new-credit-operations---total 20783-average-spread-of-new-credit-operations---total
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View the spread between a computed option-adjusted index of all BBB-rated bonds and a spot Treasury curve.
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The table displays the findings when considering 15/04/2014 as the BRRD implementation. Standard errors in parentheses are clustered at the bank level. *** represents significance at the 1% percent level.
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Graph and download economic data for ICE BofA CCC & Lower US High Yield Index Option-Adjusted Spread (BAMLH0A3HYC) from 1996-12-31 to 2025-03-26 about CCC, option-adjusted spread, yield, interest rate, interest, rate, and USA.
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Indonesia Credit Spread Matrix: PHEI: BBB SPREAD: Tenor: 3 Year data was reported at 405.740 Basis Point in 27 Mar 2025. This records an increase from the previous number of 404.420 Basis Point for 26 Mar 2025. Indonesia Credit Spread Matrix: PHEI: BBB SPREAD: Tenor: 3 Year data is updated daily, averaging 453.210 Basis Point from Jan 2022 (Median) to 27 Mar 2025, with 776 observations. The data reached an all-time high of 618.610 Basis Point in 03 Jan 2022 and a record low of 392.610 Basis Point in 26 Feb 2025. Indonesia Credit Spread Matrix: PHEI: BBB SPREAD: Tenor: 3 Year data remains active status in CEIC and is reported by PT Penilai Harga Efek Indonesia. The data is categorized under Indonesia Premium Database’s Interest and Foreign Exchange Rates – Table ID.MD003: PT Penilai Harga Efek Indonesia: Corporate Bond Spread.
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Graph and download economic data for ICE BofA Single-B US High Yield Index Option-Adjusted Spread (BAMLH0A2HYB) from 1996-12-31 to 2025-03-25 about B Bond Rating, option-adjusted spread, yield, interest rate, interest, rate, and USA.
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Graph and download economic data for ICE BofA Single-A US Corporate Index Option-Adjusted Spread (BAMLC0A3CA) from 1996-12-31 to 2025-03-25 about A Bond Rating, option-adjusted spread, corporate, and USA.
This table contains 71 series, with data starting from 1934 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Rates (71 items: Bank rate; last Tuesday or last Thursday; Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate ...).
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United States - ICE BofA US High Yield Index Option-Adjusted Spread was 3.19% in March of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA US High Yield Index Option-Adjusted Spread reached a record high of 21.82 in December of 2008 and a record low of 2.41 in June of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA US High Yield Index Option-Adjusted Spread - last updated from the United States Federal Reserve on March of 2025.
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Russia 10Y Bond Yield was 15.01 percent on Wednesday March 26, according to over-the-counter interbank yield quotes for this government bond maturity. Russia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on March of 2025.
The inflation rate in the United States declined significantly between June 2022 and January 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at 9.1 percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at 5.33 percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to 4.33 percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was 158.11 percent, up from 153.12 a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.
Brazil is Latin America's largest economy based on annual gross domestic product. As of July 2024, Brazil's Emerging Markets Bond Index stood at 228 points, almost 29 points higher than at the same period one year earlier. This index is a weighted capitalization market benchmark that measures the financial returns obtained each day by a selected portfolio of government bonds from emerging countries.The EMBI+, more commonly known as "risco país" in Portuguese, is measured in base points. These show the difference between the return rates paid by emerging countries' government bonds and those offered by the U.S. Treasury. Based on Brazil's EMBI as of October 27, 2020, the annual return rates of Brazilian sovereign debt titles were estimated to be 315 index points higher than those offered by U.S. Treasury bills. This difference is known as "spread".
About one out of four of all Mastercard credit cards issued worldwide were found within the United States, as of the second quarter of 2024. The value inside the U.S. grew noticeably over the past few years. By mid-2023, the number of credit cards issued in the United States grew by more than 30 million when compared to the same period in 2022. Compared to Visa credit cards, Mastercard is issued relatively more often outside the U.S. than inside the country. Mastercard in the United States A sizeable share of Americans use Mastercard credit cards regularly. Mastercard and Visa dominate the purchase card market, both in the United States and worldwide. Other leading credit card companies are Chase, American Express and Discovery. Credit card market One way that credit card companies earn money is by collecting a fee. These fees include interest on balances and transaction fees, both of which depend on the number of purchase transactions.
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This dataset provides values for INTEREST RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Graph and download economic data for ICE BofA Euro High Yield Index Option-Adjusted Spread (BAMLHE00EHYIOAS) from 1997-12-31 to 2025-03-24 about option-adjusted spread, Euro Area, Europe, yield, interest rate, interest, rate, and indexes.
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We use a factor model and elastic net shrinkage to model a high-dimensional network of European credit default swap (CDS) spreads. Our empirical approach allows us to assess the joint transmission of bank and sovereign risk to the nonfinancial corporate sector. Our findings identify a sectoral clustering in the CDS network, where financial institutions are in the center and nonfinancial entities as well as sovereigns are grouped around the financial center. The network has a geographical component reflected in different patterns of real-sector risk transmission across countries. Our framework also provides dynamic estimates of risk transmission, a useful tool for systemic risk monitoring.